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ORCIDKenneth R. Koedinger
Ken Koedinger
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2025
[c272]Danielle R. Thomas
, Conrad Borchers, Sanjit Kakarla, Jionghao Lin, Shambhavi Bhushan, Boyuan Guo, Erin Gatz, Kenneth R. Koedinger:
Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT. LAK 2025: 494-504- [c271]Danielle R. Thomas, Conrad Borchers, Sanjit Kakarla, Jionghao Lin, Shambhavi Bhushan, Boyuan Guo, Erin Gatz, Kenneth R. Koedinger:
Do Tutors Learn from Equity Training and Can Generative AI Assess It? LAK 2025: 505-515 - [i25]Sanjit Kakarla, Conrad Borchers, Danielle Thomas, Shambhavi Bhushan, Kenneth R. Koedinger:
Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training. CoRR abs/2501.06658 (2025) - [i24]Conrad Borchers, Danielle R. Thomas, Jionghao Lin, Ralph Abboud, Kenneth R. Koedinger:
Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment. CoRR abs/2501.09126 (2025) - [i23]Chentianye Xu, Jionghao Lin, Tongshuang Wu, Vincent Aleven, Kenneth R. Koedinger:
Improving Automated Feedback Systems for Tutor Training in Low-Resource Scenarios through Data Augmentation. CoRR abs/2501.09824 (2025) - [i22]Eason Chen, Chenyu Lin, Xinyi Tang, Aprille J. Xi, Canwen Wang, Jionghao Lin, Kenneth R. Koedinger:
VTutor: An Open-Source SDK for Generative AI-Powered Animated Pedagogical Agents with Multi-Media Output. CoRR abs/2502.04103 (2025) - [i21]Vincent Aleven, Conrad Borchers, Yun Huang, Tomohiro Nagashima, Bruce M. McLaren, Paulo Carvalho, Octav Popescu, Jonathan Sewall, Kenneth R. Koedinger:
An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop. CoRR abs/2502.10395 (2025) - 2024
- [j48]Ken Koedinger:
Navigating Ethical Benefits and Risks as AIED Comes of Age. Int. J. Artif. Intell. Educ. 34(1): 136-143 (2024) - [j47]Nesra Yannier, Scott E. Hudson, Henry Chang, Kenneth R. Koedinger:
AI Adaptivity in a Mixed-Reality System Improves Learning. Int. J. Artif. Intell. Educ. 34(4): 1541-1558 (2024) - [c270]Napol Rachatasumrit, Daniel Weitekamp III, Kenneth R. Koedinger:
Good Fit Bad Policy: Why Fit Statistics Are a Biased Measure of Knowledge Tracer Quality. AIED Companion (2) 2024: 183-191 - [c269]Qianou Ma, Hua Shen, Kenneth R. Koedinger, Sherry Tongshuang Wu:
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging. AIED (1) 2024: 265-279 - [c268]Danielle R. Thomas, Erin Gatz, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger:
The Neglected 15%: Positive Effects of Hybrid Human-AI Tutoring Among Students with Disabilities. AIED (1) 2024: 409-423 - [c267]Ying-Jui Tseng, Gautam Yadav, Xinying Hou, Muzhe Wu, Yun-Shuo Chou, Claire Che Chen, Chia-Chia Wu, Shi-Gang Chen, Yi-Jo Lin, Guan-Ze Liao, Kenneth R. Koedinger:
ActiveAI: The Effectiveness of an Interactive Tutoring System in Developing K-12 AI Literacy. EC-TEL (1) 2024: 452-467 - [c266]Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Kenneth R. Koedinger, Andrew S. Lan:
8th Educational Data Mining in Computer Science Education (CSEDM) Workshop. EDM 2024 - [c265]Conrad Borchers, Kexin Yang, Jionghao Lin, Nikol Rummel, Kenneth R. Koedinger, Vincent Aleven:
Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring? EDM 2024 - [c264]Jionghao Lin, Eason Chen, Zifei FeiFei Han, Ashish Gurung, Danielle R. Thomas, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. EDM 2024 - [c263]Napol Rachatasumrit, Paulo Carvalho, Kenneth R. Koedinger:
Beyond Accuracy: Embracing Meaningful Parameters in Educational Data Mining. EDM 2024 - [c262]Napol Rachatasumrit, Paulo F. Carvalho, Sophie Li, Kenneth R. Koedinger:
Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples (Extended Abstract). IJCAI 2024: 8450-8454 - [c261]Danielle R. Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E. Fancsali, Vincent Aleven, Lee G. Branstetter, Emma Brunskill, Kenneth R. Koedinger:
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. LAK 2024: 404-415 - [c260]Wode Ni, Sam Estep, Hwei-Shin Harriman, Kenneth R. Koedinger, Joshua Sunshine:
Edgeworth: Efficient and Scalable Authoring of Visual Thinking Activities. L@S 2024: 98-109 - [c259]Gautam Yadav, Paulo F. Carvalho, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
Beyond Repetition: The Role of Varied Questioning and Feedback in Knowledge Generalization. L@S 2024: 451-455 - [c258]Danielle R. Thomas, Jionghao Lin, Shambhavi Bhushan, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger:
Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk. L@S 2024: 481-485 - [c257]Eason Chen, Jia-En Lee, Jionghao Lin, Kenneth R. Koedinger:
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation. L@S 2024: 539-541 - [c256]Jionghao Lin, Eason Chen, Ashish Gurung, Kenneth R. Koedinger:
MuFIN: A Framework for Automating Multimodal Feedback Generation using Generative Artificial Intelligence. L@S 2024: 550-552 - [c255]Jionghao Lin, Kenneth R. Koedinger:
HAROR: A System for Highlighting and Rephrasing Open-Ended Responses. L@S 2024: 553-555 - [c254]Clifford A. Shaffer, Peter Brusilovsky, Ken Koedinger, Thomas W. Price, Tiffany Barnes, Behrooz Mostafavi:
Ninth SPLICE Workshop on Technology and Data Infrastructure for CS Education Research. SIGCSE (2) 2024: 1904 - [e5]Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Ken Koedinger, Andrew S. Lan:
Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), Atlanta, GA, USA, July 14, 2024. CEUR Workshop Proceedings 3796, CEUR-WS.org 2024 [contents] - [i20]Sanjit Kakarla, Danielle Thomas, Jionghao Lin, Shivang Gupta, Kenneth R. Koedinger:
Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors. CoRR abs/2401.03238 (2024) - [i19]Zifei FeiFei Han, Jionghao Lin, Ashish Gurung, Danielle R. Thomas, Eason Chen, Conrad Borchers, Shivang Gupta, Kenneth R. Koedinger:
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation. CoRR abs/2402.14594 (2024) - [i18]Jionghao Lin, Eason Chen, Zeifei Han, Ashish Gurung, Danielle R. Thomas, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. CoRR abs/2405.00291 (2024) - [i17]Jionghao Lin, Zifei FeiFei Han, Danielle R. Thomas, Ashish Gurung, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger:
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. CoRR abs/2405.00970 (2024) - [i16]Gautam Yadav, Paulo F. Carvalho, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
Beyond Repetition: The Role of Varied Questioning and Feedback in Knowledge Generalization. CoRR abs/2405.09655 (2024) - [i15]Eason Chen, Jia-En Lee, Jionghao Lin, Kenneth R. Koedinger:
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation. CoRR abs/2407.09484 (2024) - [i14]Daniel Weitekamp III, Kenneth R. Koedinger:
STAND: Data-Efficient and Self-Aware Precondition Induction for Interactive Task Learning. CoRR abs/2409.07653 (2024) - [i13]Qianou Ma, Weirui Peng, Hua Shen, Kenneth R. Koedinger, Tongshuang Wu:
What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs. CoRR abs/2409.08775 (2024) - [i12]Christopher J. MacLellan, Erik Harpstead, Vincent Aleven, Kenneth R. Koedinger:
TRESTLE: A Model of Concept Formation in Structured Domains. CoRR abs/2410.10588 (2024) - [i11]Daniel Weitekamp, Erik Harpstead, Kenneth R. Koedinger:
AI2T: Building Trustable AI Tutors by Interactively Teaching a Self-Aware Learning Agent. CoRR abs/2411.17924 (2024) - [i10]Danielle R. Thomas, Conrad Borchers, Sanjit Kakarla, Jionghao Lin, Shambhavi Bhushan, Boyuan Guo, Erin Gatz, Kenneth R. Koedinger:
Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT. CoRR abs/2412.10267 (2024) - [i9]Danielle R. Thomas, Conrad Borchers, Sanjit Kakarla, Jionghao Lin, Shambhavi Bhushan, Boyuan Guo, Erin Gatz, Kenneth R. Koedinger:
Do Tutors Learn from Equity Training and Can Generative AI Assess It? CoRR abs/2412.11255 (2024) - [i8]Ruiwei Xiao, Ying-Jui Tseng, Hanqi Li, Hsuan Nieu, Guan-Ze Liao, John C. Stamper, Kenneth R. Koedinger:
ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale. CoRR abs/2412.14200 (2024) - 2023
- [j46]Yun Huang, Peter Brusilovsky, Julio Guerra, Kenneth R. Koedinger, Christian Schunn:
Supporting skill integration in an intelligent tutoring system for code tracing. J. Comput. Assist. Learn. 39(2): 477-500 (2023) - [j45]Yun Huang, Steven Dang, J. Elizabeth Richey, Pallavi Chhabra, Danielle R. Thomas, Michael W. Asher, Nikki G. Lobczowski, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger:
Using latent variable models to make gaming-the-system detection robust to context variations. User Model. User Adapt. Interact. 33(5): 1211-1257 (2023) - [c253]Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
Using Large Language Models to Provide Explanatory Feedback to Human Tutors. Human-AI Math Tutoring@AIED 2023: 12-23 - [c252]Daniel Weitekamp III, Kenneth R. Koedinger:
Computational Models of Learning: Deepening Care and Carefulness in AI in Education. AIED (Posters/Late Breaking Results/...) 2023: 13-25 - [c251]Vincent Aleven, Richard G. Baraniuk, Emma Brunskill, Scott A. Crossley, Dora Demszky, Stephen Fancsali, Shivang Gupta, Kenneth R. Koedinger, Chris Piech, Steven Ritter, Danielle R. Thomas, Simon Woodhead, Wanli Xing:
Towards the Future of AI-Augmented Human Tutoring in Math Learning. AIED (Posters/Late Breaking Results/...) 2023: 26-31 - [c250]Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven:
Comparative Analysis of GPT-4 and Human Graders in Evaluating Human Tutors Giving Praise to Students. Human-AI Math Tutoring@AIED 2023: 37-48 - [c249]Napol Rachatasumrit, Paulo F. Carvalho, Sophie Li, Kenneth R. Koedinger:
Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples. AIED 2023: 54-65 - [c248]Qianou Christina Ma, Sherry Tongshuang Wu, Ken Koedinger:
Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming. LLM@AIED 2023: 64-77 - [c247]Daniel Weitekamp III, Napol Rachatasumrit, Rachael Wei, Erik Harpstead, Kenneth R. Koedinger:
Simulating Learning from Language and Examples. AIED (Posters/Late Breaking Results/...) 2023: 580-586 - [c246]Danielle R. Thomas, Shivang Gupta, Kenneth R. Koedinger:
Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons. AIED (Posters/Late Breaking Results/...) 2023: 714-719 - [c245]Conrad Borchers, Paulo F. Carvalho, Meng Xia, Pinyang Liu, Kenneth R. Koedinger, Vincent Aleven:
What Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring. EC-TEL 2023: 44-59 - [c244]Danielle Thomas, Xinyu Yang, Shivang Gupta, Adetunji Adeniran, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors. LAK 2023: 250-261 - [e4]Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger:
Proceedings of the Workshop "Towards the Future of AI-augmented Human Tutoring in Math Learning" co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023), Tokyo, Japan, July 3, 2023. CEUR Workshop Proceedings 3491, CEUR-WS.org 2023 [contents] - [i7]Qianou Ma, Tongshuang Wu, Kenneth R. Koedinger:
Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming. CoRR abs/2306.05153 (2023) - [i6]Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
Using Large Language Models to Provide Explanatory Feedback to Human Tutors. CoRR abs/2306.15498 (2023) - [i5]Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven:
Comparative Analysis of GPT-4 and Human Graders in Evaluating Praise Given to Students in Synthetic Dialogues. CoRR abs/2307.02018 (2023) - [i4]Qianou Ma, Hua Shen, Kenneth R. Koedinger, Tongshuang Wu:
HypoCompass: Large-Language-Model-based Tutor for Hypothesis Construction in Debugging for Novices. CoRR abs/2310.05292 (2023) - [i3]Danielle R. Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E. Fancsali, Vincent Aleven, Lee G. Branstetter, Emma Brunskill, Kenneth R. Koedinger:
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. CoRR abs/2312.11274 (2023) - 2022
- [j44]Christopher J. MacLellan, Kenneth R. Koedinger:
Domain-General Tutor Authoring with Apprentice Learner Models. Int. J. Artif. Intell. Educ. 32(1): 76-117 (2022) - [j43]Wayne Holmes, Kaska Porayska-Pomsta, Ken Holstein, Emma Sutherland, Toby Baker, Simon Buckingham Shum, Olga C. Santos, Maria Mercedes T. Rodrigo, Mutlu Cukurova, Ig Ibert Bittencourt, Kenneth R. Koedinger:
Ethics of AI in Education: Towards a Community-Wide Framework. Int. J. Artif. Intell. Educ. 32(3): 504-526 (2022) - [j42]Thiemo Wambsganss, Naim Zierau, Matthias Söllner, Tanja Käser, Kenneth R. Koedinger, Jan Marco Leimeister:
Designing Conversational Evaluation Tools: A Comparison of Text and Voice Modalities to Improve Response Quality in Course Evaluations. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-27 (2022) - [c243]Nicholas Diana, John C. Stamper, Ken Koedinger, Jessica Hammer:
Debiasing Politically Motivated Reasoning with Value-Adaptive Instruction. AIED (1) 2022: 140-152 - [c242]Danielle R. Chine, Cassandra Brentley, Carmen Thomas-Browne, J. Elizabeth Richey, Abdulmenaf Gul, Paulo F. Carvalho, Lee G. Branstetter, Kenneth R. Koedinger:
Educational Equity Through Combined Human-AI Personalization: A Propensity Matching Evaluation. AIED (1) 2022: 366-377 - [c241]Thiemo Wambsganss, Matthias Söllner, Kenneth R. Koedinger, Jan Marco Leimeister:
Adaptive Empathy Learning Support in Peer Review Scenarios. CHI 2022: 227:1-227:17 - [c240]Paulo Carvalho, Napol Rachatasumrit, Kenneth R. Koedinger:
Learning depends on knowledge: The benefits of retrieval practice vary for facts and skills. CogSci 2022 - [c239]Yun Huang, Steven Dang, J. Elizabeth Richey, Michael W. Asher, Nikki G. Lobczowski, Danielle R. Chine, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger:
Item Response Theory-Based Gaming Detection. EDM 2022 - [c238]Danielle R. Chine, Pallavi Chhabra, Adetunji Adeniran, Shivang Gupta, Kenneth R. Koedinger:
Development of Scenario-based Mentor Lessons: An Iterative Design Process for Training at Scale. L@S 2022: 469-471 - 2021
- [j41]Xu Wang, Meredith M. Thompson, Kexin Yang, Dan Roy, Kenneth R. Koedinger, Carolyn P. Rosé, Justin Reich:
Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 51:1-51:27 (2021) - [c237]Peter Schaldenbrand, Nikki G. Lobczowski, J. Elizabeth Richey, Shivang Gupta, Elizabeth A. McLaughlin, Adetunji Adeniran, Kenneth R. Koedinger:
Computer-Supported Human Mentoring for Personalized and Equitable Math Learning. AIED (2) 2021: 308-313 - [c236]Daniel Weitekamp III, Erik Harpstead, Kenneth R. Koedinger:
Toward Stable Asymptotic Learning with Simulated Learners. AIED (2) 2021: 390-394 - [c235]Xu Wang, Carolyn P. Rosé, Ken Koedinger:
Seeing Beyond Expert Blind Spots: Online Learning Design for Scale and Quality. CHI 2021: 51:1-51:14 - [c234]Judith Odili Uchidiuno, Jessica Hammer, Ken Koedinger, Amy Ogan:
Fostering Equitable Help-Seeking for K-3 Students in Low Income and Rural Contexts. CHI 2021: 684:1-684:14 - [c233]Judith Uchidiuno, Ken Koedinger, Amy Ogan:
Teacher Perspectives on Peer-Peer Collaboration and Education Technologies in Rural Tanzanian Classrooms. COMPASS 2021: 14-26 - [c232]Napol Rachatasumrit, Kenneth R. Koedinger:
Toward Improving Student Model Estimates through Assistance Scores in Principle and in Practice. EDM 2021 - [c231]Yun Huang, Nikki G. Lobczowski, J. Elizabeth Richey, Elizabeth A. McLaughlin, Michael W. Asher, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger:
A General Multi-method Approach to Data-Driven Redesign of Tutoring Systems. LAK 2021: 161-172 - [i2]Daniel Weitekamp III, Christopher MacLellan, Erik Harpstead, Kenneth R. Koedinger:
Decomposed Inductive Procedure Learning. CoRR abs/2110.13233 (2021) - 2020
- [j40]Nesra Yannier, Scott E. Hudson, Kenneth R. Koedinger:
Active Learning is About More Than Hands-On: A Mixed-Reality AI System to Support STEM Education. Int. J. Artif. Intell. Educ. 30(1): 74-96 (2020) - [c230]Yun Huang, Vincent Aleven, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
A General Multi-method Approach to Design-Loop Adaptivity in Intelligent Tutoring Systems. AIED (2) 2020: 124-129 - [c229]J. Elizabeth Richey, Nikki G. Lobczowski, Paulo F. Carvalho, Kenneth R. Koedinger:
Comprehensive Views of Math Learners: A Case for Modeling and Supporting Non-math Factors in Adaptive Math Software. AIED (1) 2020: 460-471 - [c228]Daniel Weitekamp III, Zihuiwen Ye, Napol Rachatasumrit, Erik Harpstead, Kenneth R. Koedinger:
Investigating Differential Error Types Between Human and Simulated Learners. AIED (1) 2020: 586-597 - [c227]Nicholas Diana, John C. Stamper, Ken Koedinger:
Towards Value-Adaptive Instruction: A Data-Driven Method for Addressing Bias in Argument Evaluation Tasks. CHI 2020: 1-11 - [c226]Daniel Weitekamp III, Erik Harpstead, Kenneth R. Koedinger:
An Interaction Design for Machine Teaching to Develop AI Tutors. CHI 2020: 1-11 - [c225]Nicholas Diana, Jessica Hammer, John C. Stamper, Kenneth R. Koedinger:
Persuasion Invasion: Reducing Bias with Value-Adaptive Instruction. CHI PLAY (Companion) 2020: 50-53 - [c224]Steven Dang, Kenneth R. Koedinger:
The Ebb and Flow of Student Engagement: Measuring motivation through temporal pattern of self-regulation. EDM 2020 - [c223]Xu Wang, Meredith M. Thompson, Kexin Yang, Dan Roy, Kenneth R. Koedinger, Carolyn Penstein Rosé, Justin Reich:
Practice-Based Teacher Education With ELK: A Role-Playing Simulation for Eliciting Learner Knowledge. ICLS 2020 - [c222]Peter Brusilovsky, Ken Koedinger, David A. Joyner, Thomas W. Price:
Building an Infrastructure for Computer Science Education Research and Practice at Scale. L@S 2020: 211-213 - [e3]Thomas W. Price, Peter Brusilovsky, Sharon I-Han Hsiao, Ken Koedinger, Yang Shi:
Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), Virtual Event, July 10, 2020. CEUR Workshop Proceedings 2734, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j39]Carolyn P. Rosé, Elizabeth A. McLaughlin, Ran Liu, Kenneth R. Koedinger:
Explanatory learner models: Why machine learning (alone) is not the answer. Br. J. Educ. Technol. 50(6): 2943-2958 (2019) - [c221]Nicholas Diana, John C. Stamper, Kenneth R. Koedinger:
Online Assessment of Belief Biases and Their Impact on the Acceptance of Fallacious Reasoning. AIED (2) 2019: 62-66 - [c220]Nicholas Diana, John C. Stamper, Ken Koedinger:
Predicting Bias in the Evaluation of Unlabeled Political Arguments. CogSci 2019: 1640-1646 - [c219]Yugo Hayashi, Ken Koedinger:
What are you talking about?: A Cognitive Task Analysis of how specificity in communication facilitates shared perspective in a confusing collaboration task. CogSci 2019: 1887-1893 - [c218]Judith Uchidiuno, Evelyn Yarzebinski, Emilio Vargas-Vite, Ken Koedinger, Amy Ogan:
The Effectiveness of Publicly vs. Privately Assigned Group Leaders Among Learners in Rural Villages in Tanzania. CSCL 2019 - [c217]Judith Uchidiuno, Evelyn Yarzebinski, Emily Keebler, Kenneth R. Koedinger, Amy Ogan:
Learning from african classroom pedagogy to increase student engagement in education technologies. COMPASS 2019: 99-110 - [c216]Steven Dang, Ken Koedinger:
Exploring the Link Between Motivations and Gaming. EDM 2019 - [c215]Daniel Weitekamp III, Erik Harpstead, Christopher J. MacLellan, Napol Rachatasumrit, Kenneth R. Koedinger:
Toward Near Zero-Parameter Prediction Using a Computational Model of Student Learning. EDM 2019 - [c214]Khushboo Thaker, Paulo Carvalho, Kenneth R. Koedinger:
Comprehension Factor Analysis: Modeling student's reading behaviour: Accounting for reading practice in predicting students' learning in MOOCs. LAK 2019: 111-115 - [c213]Xu Wang, Srinivasa Teja Talluri, Carolyn P. Rosé, Kenneth R. Koedinger:
UpGrade: Sourcing Student Open-Ended Solutions to Create Scalable Learning Opportunities. L@S 2019: 17:1-17:10 - 2018
- [j38]Judith Uchidiuno, Ken Koedinger, Jessica Hammer, Evelyn Yarzebinski, Amy Ogan:
How Do English Language Learners Interact with Different Content Types in MOOC Videos? Int. J. Artif. Intell. Educ. 28(4): 508-527 (2018) - [c212]Erik Harpstead, Christopher J. MacLellan, Robert P. Marinier, Kenneth R. Koedinger:
Towards Natural Cognitive System Training Interactions: A Preliminary Framework. AAAI Spring Symposia 2018 - [c211]Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth R. Koedinger:
Learning Cognitive Models Using Neural Networks. AIED (1) 2018: 43-56 - [c210]Nicholas Diana, John C. Stamper, Ken Koedinger:
An Instructional Factors Analysis of an Online Logical Fallacy Tutoring System. AIED (1) 2018: 86-97 - [c209]Paulo F. Carvalho, Kody Manke, Ken Koedinger:
Not all Active Learning is Equal: Predicting and Explaining Improves Transfer Relative to Answering Practice Questions. CogSci 2018 - [c208]Judith Uchidiuno, Evelyn Yarzebinski, Michael A. Madaio, Nupur Maheshwari, Ken Koedinger, Amy Ogan:
Designing Appropriate Learning Technologies for School vs Home Settings in Tanzanian Rural Villages. COMPASS 2018: 9:1-9:11 - [c207]Paulo F. Carvalho, Min Gao, Benjamin A. Motz, Ken Koedinger:
Analyzing the relative learning benefits of completing required activities and optional readings in online courses. EDM 2018 - [c206]Kenneth R. Koedinger, Richard Scheines, Peter Schaldenbrand:
Is the Doer Effect Robust Across Multiple Data Sets? EDM 2018 - [c205]Clifford A. Shaffer, Peter Brusilovsky, Kenneth R. Koedinger, Stephen H. Edwards:
CS Education Infrastructure for All: Interoperability for Tools and Data Analytics (Abstract Only). SIGCSE 2018: 1063 - [e2]Rose Luckin, Scott R. Klemmer, Kenneth R. Koedinger:
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, London, UK, June 26-28, 2018. ACM 2018 [contents] - [i1]Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth R. Koedinger:
Learning Cognitive Models using Neural Networks. CoRR abs/1806.08065 (2018) - 2017
- [j37]Kelly Rivers, Kenneth R. Koedinger:
Data-Driven Hint Generation in Vast Solution Spaces: a Self-Improving Python Programming Tutor. Int. J. Artif. Intell. Educ. 27(1): 37-64 (2017) - [j36]Eliane Stampfer Wiese, Kenneth R. Koedinger:
Designing Grounded Feedback: Criteria for Using Linked Representations to Support Learning of Abstract Symbols. Int. J. Artif. Intell. Educ. 27(3): 448-474 (2017) - [c204]Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger:
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. AIED 2017: 605-608 - [c203]James Derek Lomas, Kenneth R. Koedinger, Nirmal Patel, Sharan Shodhan, Nikhil Poonwala, Jodi L. Forlizzi:
Is Difficulty Overrated?: The Effects of Choice, Novelty and Suspense on Intrinsic Motivation in Educational Games. CHI 2017: 1028-1039 - [c202]Paulo F. Carvalho, Elizabeth A. McLaughlin, Ken Koedinger:
Is there an explicit learning bias? Students beliefs, behaviors and learning outcomes. CogSci 2017 - [c201]Nicholas Diana, John C. Stamper, Kenneth R. Koedinger:
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. EDM 2017 - [c200]Ran Liu, Kenneth R. Koedinger:
Closing the loop: Automated data-driven cognitive model discoveries lead to improved instruction and learning. EDM 2017 - [c199]Ran Liu, Kenneth R. Koedinger:
Towards reliable and valid measurement of individualized student parameters. EDM 2017 - [c198]Ran Liu, Kenneth R. Koedinger, John C. Stamper, Philip I. Pavlik Jr.:
Sharing and Reusing Data and Analytic Methods with LearnSphere. EDM 2017 - [c197]Ken Koedinger, Ran Liu, John C. Stamper, Candace Thille, Phil Pavlik:
Community based educational data repositories and analysis tools. LAK 2017: 524-525 - [c196]Steven Dang, Michael Yudelson, Kenneth R. Koedinger:
Detecting Diligence with Online Behaviors on Intelligent Tutoring Systems. L@S 2017: 51-59 - [c195]Judith Uchidiuno, Jessica Hammer, Evelyn Yarzebinski, Kenneth R. Koedinger, Amy Ogan:
Characterizing ELL Students' Behavior During MOOC Videos Using Content Type. L@S 2017: 185-188 - 2016
- [j35]Kenneth R. Koedinger, Vincent Aleven:
An Interview Reflection on "Intelligent Tutoring Goes to School in the Big City". Int. J. Artif. Intell. Educ. 26(1): 13-24 (2016) - [j34]Vincent Aleven, Ido Roll, Bruce M. McLaren, Kenneth R. Koedinger:
Help Helps, But Only So Much: Research on Help Seeking with Intelligent Tutoring Systems. Int. J. Artif. Intell. Educ. 26(1): 205-223 (2016) - [j33]Vincent Aleven, Bruce M. McLaren, Jonathan Sewall, Martin Van Velsen, Octav Popescu, Sandra Demi, Michael A. Ringenberg, Kenneth R. Koedinger:
Example-Tracing Tutors: Intelligent Tutor Development for Non-programmers. Int. J. Artif. Intell. Educ. 26(1): 224-269 (2016) - [j32]Nesra Yannier, Scott E. Hudson, Eliane Stampfer Wiese, Kenneth R. Koedinger:
Adding Physical Objects to an Interactive Game Improves Learning and Enjoyment: Evidence from EarthShake. ACM Trans. Comput. Hum. Interact. 23(4): 26:1-26:31 (2016) - [j31]Kenneth R. Koedinger, Michael Yudelson, Philip I. Pavlik Jr.:
Testing Theories of Transfer Using Error Rate Learning Curves. Top. Cogn. Sci. 8(3): 589-609 (2016) - [c194]James Derek Lomas, Jodi Forlizzi, Nikhil Poonwala, Nirmal Patel, Sharan Shodhan, Kishan Patel, Kenneth R. Koedinger, Emma Brunskill:
Interface Design Optimization as a Multi-Armed Bandit Problem. CHI 2016: 4142-4153 - [c193]Rony Patel, Ran Liu, Kenneth R. Koedinger:
When to Block versus Interleave Practice? Evidence Against Teaching Fraction Addition before Fraction Multiplication. CogSci 2016 - [c192]Eliane Wiese, Rony Patel, Kenneth R. Koedinger:
Benefits for Grounded Feedback over Correctness in a Fraction Addition Tutor. CogSci 2016 - [c191]Eliane Wiese, Rony Patel, Kenneth R. Koedinger:
Why Sense-Making through Magnitude May Be Harder for Fractions than for Whole Numbers. CogSci 2016 - [c190]Christopher J. MacLellan, Erik Harpstead, Rony Patel, Kenneth R. Koedinger:
The Apprentice Learner architecture: Closing the loop between learning theory and educational data. EDM 2016: 151-158 - [c189]Devendra Singh Chaplot, Yiming Yang, Jaime G. Carbonell, Kenneth R. Koedinger:
Data-driven Automated Induction of Prerequisite Structure Graphs. EDM 2016: 318-323 - [c188]Kenneth R. Koedinger, Elizabeth A. McLaughlin:
Closing the Loop with Quantitative Cognitive Task Analysis. EDM 2016: 412-417 - [c187]Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger:
Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data. EDM 2016: 583-584 - [c186]Kelly Rivers, Erik Harpstead, Kenneth R. Koedinger:
Learning Curve Analysis for Programming: Which Concepts do Students Struggle With? ICER 2016: 143-151 - [c185]Noboru Matsuda, Nikolaos Barbalios, Zhengzheng Zhao, Anya Ramamurthy, Gabriel J. Stylianides, Kenneth R. Koedinger:
Tell Me How to Teach, I'll Learn How to Solve Problems. ITS 2016: 111-121 - [c184]Ran Liu, Rony Patel, Kenneth R. Koedinger:
Modeling common misconceptions in learning process data. LAK 2016: 369-377 - [c183]Kenneth R. Koedinger, Elizabeth A. McLaughlin, Julianna Zhuxin Jia, Norman L. Bier:
Is the doer effect a causal relationship?: how can we tell and why it's important. LAK 2016: 388-397 - [c182]Judith Uchidiuno, Amy Ogan, Kenneth R. Koedinger, Evelyn Yarzebinski, Jessica Hammer:
Browser Language Preferences as a Metric for Identifying ESL Speakers in MOOCs. L@S 2016: 277-280 - [c181]Ken Koedinger:
Practical Learning Research at Scale. L@S 2016: 429 - 2015
- [j30]Nan Li, Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger:
Integrating representation learning and skill learning in a human-like intelligent agent. Artif. Intell. 219: 67-91 (2015) - [j29]Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger:
Teaching the Teacher: Tutoring SimStudent Leads to More Effective Cognitive Tutor Authoring. Int. J. Artif. Intell. Educ. 25(1): 1-34 (2015) - [j28]Philip I. Pavlik, Michael Yudelson, Kenneth R. Koedinger:
A Measurement Model of Microgenetic Transfer for Improving Instructional Outcomes. Int. J. Artif. Intell. Educ. 25(3): 346-379 (2015) - [j27]Karrie E. Godwin, Derek Lomas, Kenneth R. Koedinger, Anna V. Fisher:
Monster Mischief: Designing a Video Game to Assess Selective Sustained Attention. Int. J. Gaming Comput. Mediat. Simulations 7(4): 18-39 (2015) - [c180]Kenneth R. Koedinger, Noboru Matsuda, Christopher J. MacLellan, Elizabeth A. McLaughlin:
Methods for Evaluating Simulated Learners: Examples from SimStudent. AIED Workshops 2015 - [c179]Christopher J. MacLellan, Erik Harpstead, Eliane Stampfer Wiese, Mengfan Zou, Noboru Matsuda, Vincent Aleven, Kenneth R. Koedinger:
Authoring Tutors with Complex Solutions: A Comparative Analysis of Example Tracing and SimStudent. AIED Workshops 2015 - [c178]Nesra Yannier, Kenneth R. Koedinger, Scott E. Hudson:
Learning from Mixed-Reality Games: Is Shaking a Tablet as Effective as Physical Observation? CHI 2015: 1045-1054 - [c177]Danny Koh, Kenneth R. Koedinger, Carolyn P. Rosé, David F. Feldon:
Expertise in Cognitive Task Analysis Interviews. CogSci 2015 - [c176]Rony Patel, Kenneth R. Koedinger:
Does Learning Magnitude Knowledge help Students Learn Procedural Knowledge or Vice Versa? CogSci 2015 - [c175]Eliane Wiese, Rony Patel, Jennifer K. Olsen, Kenneth R. Koedinger:
Transitivity is Not Obvious: Probing Prerequisites for Learning. CogSci 2015 - [c174]Christopher J. MacLellan, Ran Liu, Kenneth R. Koedinger:
Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning. EDM 2015: 53-60 - [c173]Xu Wang, Diyi Yang, Miaomiao Wen, Kenneth R. Koedinger, Carolyn P. Rosé:
Investigating How Student's Cognitive Behavior in MOOC Discussion Forum Affect Learning Gains. EDM 2015: 226-233 - [c172]Mohammad Hassan Falakmasir, Michael Yudelson, Steven Ritter, Kenneth R. Koedinger:
Spectral Bayesian Knowledge Tracing. EDM 2015: 360-363 - [c171]Ran Liu, Kenneth R. Koedinger:
Variations in Learning Rate: Student Clustering Based on Systematic Residual Error Patterns Across Practice Opportunities. EDM 2015: 420-423 - [c170]Kenneth R. Koedinger, Jihee Kim, Julianna Zhuxin Jia, Elizabeth A. McLaughlin, Norman L. Bier:
Learning is Not a Spectator Sport: Doing is Better than Watching for Learning from a MOOC. L@S 2015: 111-120 - 2014
- [j26]Erin Walker, Nikol Rummel, Kenneth R. Koedinger:
Adaptive Intelligent Support to Improve Peer Tutoring in Algebra. Int. J. Artif. Intell. Educ. 24(1): 33-61 (2014) - [j25]Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper:
Data-driven Learner Modeling to Understand and Improve Online Learning: MOOCs and technology to advance learning and learning research (Ubiquity symposium). Ubiquity 2014(May): 3:1-3:13 (2014) - [c169]Eliane Wiese, Kenneth R. Koedinger:
Investigating Scaffolds for Sense Making in Fraction Addition and Comparison. CogSci 2014 - [c168]Tanja Käser, Kenneth R. Koedinger, Markus H. Gross:
Different parameters - same prediction: An analysis of learning curves. EDM 2014: 52-59 - [c167]Ran Liu, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
Interpreting model discovery and testing generalization to a new dataset. EDM 2014: 107-113 - [c166]Benjamin S. Goldberg, Robert A. Sottilare, Ido Roll, Susanne P. Lajoie, Eric G. Poitras, Gautam Biswas, James René Segedy, John S. Kinnebrew, Elaine Stampfer Wiese, Yanjin Long, Vincent Aleven, Kenneth R. Koedinger, Phil Winne:
Enhancing Self-Regulated Learning through Metacognitively-Aware Intelligent Tutoring Systems. ICLS 2014 - [c165]Noboru Matsuda, Cassondra L. Griger, Nikolaos Barbalios, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger:
Investigating the Effect of Meta-cognitive Scaffolding for Learning by Teaching. Intelligent Tutoring Systems 2014: 104-113 - [c164]Kelly Rivers, Kenneth R. Koedinger:
Automating Hint Generation with Solution Space Path Construction. Intelligent Tutoring Systems 2014: 329-339 - [c163]Christopher J. MacLellan, Kenneth R. Koedinger, Noboru Matsuda:
Authoring Tutors with SimStudent: An Evaluation of Efficiency and Model Quality. Intelligent Tutoring Systems 2014: 551-560 - [c162]Eliane Stampfer Wiese, Kenneth R. Koedinger:
Toward Sense Making with Grounded Feedback. Intelligent Tutoring Systems 2014: 695-697 - 2013
- [j24]Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, Gabriel J. Stylianides, Kenneth R. Koedinger:
Studying the Effect of a Competitive Game Show in a Learning by Teaching Environment. Int. J. Artif. Intell. Educ. 23(1-4): 1-21 (2013) - [j23]Nan Li, William W. Cohen, Kenneth R. Koedinger:
Problem Order Implications for Learning. Int. J. Artif. Intell. Educ. 23(1-4): 71-93 (2013) - [j22]Kenneth R. Koedinger, Emma Brunskill, Ryan Shaun Joazeiro de Baker, Elizabeth A. McLaughlin, John C. Stamper:
New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization. AI Mag. 34(3): 27-41 (2013) - [j21]Kenneth R. Koedinger, John C. Stamper, Brett Leber, Alida Skogsholm:
LearnLab's DataShop: A Data Repository and Analytics Tool Set for Cognitive Science. Top. Cogn. Sci. 5(3): 668-669 (2013) - [c161]Nesra Yannier, Kenneth R. Koedinger, Scott E. Hudson:
Tangible Collaborative Learning with a Mixed-Reality Game: EarthShake. AIED 2013: 131-140 - [c160]Michael Yudelson, Kenneth R. Koedinger, Geoffrey J. Gordon:
Individualized Bayesian Knowledge Tracing Models. AIED 2013: 171-180 - [c159]Nan Li, Yuandong Tian, William W. Cohen, Kenneth R. Koedinger:
Integrating Perceptual Learning with External World Knowledge in a Simulated Student. AIED 2013: 400-410 - [c158]Kenneth R. Koedinger, John C. Stamper, Elizabeth A. McLaughlin, Tristan Nixon:
Using Data-Driven Discovery of Better Student Models to Improve Student Learning. AIED 2013: 421-430 - [c157]Janice D. Gobert, Juelaila J. Raziuddin, Kenneth R. Koedinger:
Auto-scoring Discovery and Confirmation Bias in Interpreting Data during Science Inquiry in a Microworld. AIED 2013: 770-773 - [c156]Christopher J. MacLellan, Noboru Matsuda, Kenneth R. Koedinger:
Toward a reflective SimStudent: Using experience to avoid generalization errors. AIED Workshops 2013 - [c155]Kelly Rivers, Kenneth R. Koedinger:
Automatic Generation of Programming Feedback; A Data-Driven Approach. AIED Workshops 2013 - [c154]Eliane Stampfer, Kenneth R. Koedinger:
Conceptual Scaffolding to Check One's Procedures. AIED 2013: 916-919 - [c153]Derek Lomas, Kishan Patel, Jodi Forlizzi, Kenneth R. Koedinger:
Optimizing challenge in an educational game using large-scale design experiments. CHI 2013: 89-98 - [c152]Nan Li, Eliane Stampfer, William W. Cohen, Kenneth R. Koedinger:
General and Efficient Cognitive Model Discovery Using a Simulated Student. CogSci 2013 - [c151]Eliane Stampfer, Kenneth R. Koedinger:
When seeing isn't believing: Influences of prior conceptions and misconceptions. CogSci 2013 - [c150]Joseph Jay Williams, Alexander Renkl, Kenneth R. Koedinger, John C. Stamper:
Online Education: A Unique Opportunity for Cognitive Scientists to Integrate Research and Practice. CogSci 2013 - [c149]Helen Zhao, Kenneth R. Koedinger, John Kowalski:
Knowledge tracing and cue contrast: Second language English grammar instruction. CogSci 2013 - [c148]Erik Harpstead, Christopher J. MacLellan, Kenneth R. Koedinger, Vincent Aleven, Steven P. Dow, Brad A. Myers:
Investigating the Solution Space of an Open-Ended Educational Game Using Conceptual Feature Extraction. EDM 2013: 51-58 - [c147]Nan Li, William W. Cohen, Kenneth R. Koedinger:
Discovering Student Models with a Clustering Algorithm Using Problem Content. EDM 2013: 98-105 - [c146]Ilya M. Goldin, Kenneth R. Koedinger, Vincent Aleven:
Hints: You Can't Have Just One. EDM 2013: 232-235 - [c145]John C. Stamper, Kenneth R. Koedinger, Elizabeth A. McLaughlin:
A Comparison of Model Selection Metrics in DataShop. EDM 2013: 284-287 - [c144]Michael Yudelson, Kenneth R. Koedinger:
Estimating the benefits of student model improvements on a substantive scale. EDM 2013: 358-359 - [c143]Michael G. Christel, Scott M. Stevens, Matt Champer, John Balash, Sean Brice, Bryan Maher, Danny Hausmann, Nora Bastida, Chandana Bhargava, Weiwei Huo, Xun Zhang, Samantha Collier, Vincent Aleven, Kenneth R. Koedinger, Steven Dow, Carolyn P. Rosé, Jonathan Sewall, Mitra Fathollahpour, Chris Reid, Julia Brynn Flynn, Amos Glenn, Erik Harpstead:
Beanstalk: A unity game addressing balance principles, socio-emotional learning and scientific inquiry. IGIC 2013: 36-39 - [c142]Nan Li, Apoorv Khandelwal, Tung Phan, David S. Touretzky, William W. Cohen, Kenneth R. Koedinger:
Creating an educational robot by embedding a learning agent in the physical world (abstract only). SIGCSE 2013: 759-760 - 2012
- [j20]Kenneth R. Koedinger, Albert T. Corbett, Charles Perfetti:
The Knowledge-Learning-Instruction Framework: Bridging the Science-Practice Chasm to Enhance Robust Student Learning. Cogn. Sci. 36(5): 757-798 (2012) - [j19]Lisa Anthony, Jie Yang, Kenneth R. Koedinger:
A paradigm for handwriting-based intelligent tutors. Int. J. Hum. Comput. Stud. 70(11): 866-887 (2012) - [c141]Michael G. Christel, Scott M. Stevens, Bryan Maher, Sean Brice, Matt Champer, Luke Jayapalan, Qiaosi Chen, Jing Jin, Daniel Hausmann, Nora Bastida, Xun Zhang, Vincent Aleven, Kenneth R. Koedinger, Catherine C. Chase, Erik Harpstead, Derek Lomas:
RumbleBlocks: Teaching science concepts to young children through a Unity game. CGAMES 2012: 162-166 - [c140]Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, William W. Cohen, Gabriel Stylianides, Kenneth R. Koedinger:
Shallow learning as a pathway for successful learning both for tutors and tutees. CogSci 2012 - [c139]Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger, Victoria Keiser, Rohan Raizada, Evelyn Yarzebinski, Shayna P. Watson, Gabriel Stylianides:
Studying the Effect of Tutor Learning Using a Teachable Agent that Asks the Student Tutor for Explanations. DIGITEL 2012: 25-32 - [c138]Nan Li, Abraham Schreiber, William W. Cohen, Kenneth R. Koedinger:
Creating Features from a Learned Grammar in a Simulated Student. ECAI 2012: 534-539 - [c137]Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper:
Automated Student Model Improvement. EDM 2012: 17-24 - [c136]Ilya M. Goldin, Kenneth R. Koedinger, Vincent Aleven:
Learner Differences in Hint Processing. EDM 2012: 73-80 - [c135]John C. Stamper, Derek Lomas, Dixie Ching, Steven Ritter, Kenneth R. Koedinger, Jonathan Steinhart:
The Rise of the Super Experiment. EDM 2012: 196-200 - [c134]Nan Li, William W. Cohen, Kenneth R. Koedinger:
Integrating perceptual representation learning and skill learning in a simulated student. ICDL-EPIROB 2012: 1-2 - [c133]Paulo Blikstein, Marcelo Worsley, Bruce Sherin, Ryan Baker, Matthew Berland, Taylor Martin, Ido Roll, Vincent Aleven, Ken Koedinger, Arnon Hershkovitz:
Building Bridges between Learning Analytics, Educational Data Mining and Core Learning Sciences Perspectives. ICLS 2012 - [c132]Jodi L. Davenport, Edys S. Quellmalz, Jody Clarke-Midura, Chris Dede, Janice D. Gobert, Kenneth R. Koedinger, Marty McCall, Michael J. Timms:
The Future of Assessment: Measuring Science Reasoning and Inquiry Skills Using Simulations and Immersive Environments. ICLS 2012 - [c131]Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, Kenneth R. Koedinger:
Motivational Factors for Learning by Teaching - The Effect of a Competitive Game Show in a Virtual peer-Learning Environment. ITS 2012: 101-111 - [c130]Nan Li, William W. Cohen, Kenneth R. Koedinger:
Problem Order Implications for Learning Transfer. ITS 2012: 185-194 - [c129]Erin Walker, Nikol Rummel, Sean Walker, Kenneth R. Koedinger:
Noticing Relevant Feedback Improves Learning in an Intelligent Tutoring System for Peer Tutoring. ITS 2012: 222-232 - [c128]Nan Li, William W. Cohen, Kenneth R. Koedinger:
Efficient Cross-Domain Learning of Complex Skills. ITS 2012: 493-498 - [c127]Ryan Carlson, Victoria Keiser, Noboru Matsuda, Kenneth R. Koedinger, Carolyn Penstein Rosé:
Building a Conversational SimStudent. ITS 2012: 563-569 - [c126]Derek Lomas, John C. Stamper, Ryan Muller, Kishan Patel, Kenneth R. Koedinger:
The Effects of Adaptive Sequencing Algorithms on Player Engagement within an Online Game. ITS 2012: 588-590 - [c125]Kelly Rivers, Kenneth R. Koedinger:
A Canonicalizing Model for Building Programming Tutors. ITS 2012: 591-593 - [c124]Nan Li, William W. Cohen, Kenneth R. Koedinger:
Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars. ECML/PKDD (2) 2012: 773-788 - 2011
- [j18]Erin Walker, Nikol Rummel, Kenneth R. Koedinger:
Designing automated adaptive support to improve student helping behaviors in a peer tutoring activity. Int. J. Comput. Support. Collab. Learn. 6(2): 279-306 (2011) - [j17]Brent Martin, Antonija Mitrovic, Kenneth R. Koedinger, Santosh Mathan:
Evaluating and improving adaptive educational systems with learning curves. User Model. User Adapt. Interact. 21(3): 249-283 (2011) - [c123]Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger:
Learning by Teaching SimStudent - An Initial Classroom Baseline Study Comparing with Cognitive Tutor. AIED 2011: 213-221 - [c122]Philip I. Pavlik, Michael Yudelson, Kenneth R. Koedinger:
Using Contextual Factors Analysis to Explain Transfer of Least Common Multiple Skills. AIED 2011: 256-263 - [c121]Ido Roll, Vincent Aleven, Bruce M. McLaren, Kenneth R. Koedinger:
Metacognitive Practice Makes Perfect: Improving Students' Self-Assessment Skills with an Intelligent Tutoring System. AIED 2011: 288-295 - [c120]John C. Stamper, Kenneth R. Koedinger:
Human-Machine Student Model Discovery and Improvement Using DataShop. AIED 2011: 353-360 - [c119]Erin Walker, Nikol Rummel, Kenneth R. Koedinger:
Using Automated Dialog Analysis to Assess Peer Tutoring and Trigger Effective Support. AIED 2011: 385-393 - [c118]John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Sandy Demi, Shawnwen Yu, Duncan Spencer:
Managing the Educational Dataset Lifecycle with DataShop. AIED 2011: 557-559 - [c117]Eliane Stampfer, Yanjin Long, Vincent Aleven, Kenneth R. Koedinger:
Eliciting Intelligent Novice Behaviors with Grounded Feedback in a Fraction Addition Tutor. AIED 2011: 560-562 - [c116]Ruth Wylie, Melissa Sheng, Teruko Mitamura, Kenneth R. Koedinger:
Effects of Adaptive Prompted Self-explanation on Robust Learning of Second Language Grammar. AIED 2011: 588-590 - [c115]Noboru Matsuda, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger:
Learning by Teaching SimStudent - Interactive Event. AIED 2011: 623 - [c114]John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Sandy Demi, Shawnwen Yu, Duncan Spencer:
DataShop: A Data Repository and Analysis Service for the Learning Science Community (Interactive Event). AIED 2011: 628 - [c113]Ido Roll, Vincent Aleven, Kenneth R. Koedinger:
Outcomes and Mechanisms of Transfer in Invention Activities. CogSci 2011 - [c112]Erin Walker, Nikol Rummel, Kenneth R. Koedinger:
Adaptive support for CSCL: Is it feedback relevance or increased student accountability that matters? CSCL 2011 - [c111]Nan Li, William W. Cohen, Kenneth R. Koedinger, Noboru Matsuda:
A Machine Learning Approach for Automatic Student Model Discovery. EDM 2011: 31-40 - [c110]Min Chi, Kenneth R. Koedinger, Geoffrey J. Gordon, Pamela W. Jordan, Kurt VanLehn:
Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions. EDM 2011: 61-70 - [c109]Adaeze Nwaigwe, Kenneth R. Koedinger:
The Simple Location Heuristic is Better at Predicting Students' Changes in Error Rate Over Time Compared to the Simple Temporal Heuristic. EDM 2011: 71-80 - [c108]Kenneth R. Koedinger, Philip I. Pavlik Jr., John C. Stamper, Tristan Nixon, Steven Ritter:
Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing. EDM 2011: 91-100 - [c107]Sujith M. Gowda, Jonathan P. Rowe, Ryan Shaun Joazeiro de Baker, Min Chi, Kenneth R. Koedinger:
Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty. EDM 2011: 199-208 - [c106]Michael Yudelson, Philip I. Pavlik, Kenneth R. Koedinger:
Towards Better Understanding of Transfer in Cognitive Models of Practice. EDM 2011: 373-374 - [c105]Michael Yudelson, Philip I. Pavlik, Kenneth R. Koedinger:
User Modeling - A Notoriously Black Art. UMAP 2011: 317-328 - 2010
- [c104]Nan Li, William W. Cohen, Kenneth R. Koedinger:
Integrating Transfer Learning in Synthetic Student. AAAI 2010: 1943-1944 - [c103]Nan Li, Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger:
Towards a Computational Model of Why Some Students Learn Faster than Others. AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems 2010 - [c102]YoungJoo Jeong, Ananda Gunawardena, Kenneth R. Koedinger:
Designing a pen-based flashcard application to support classroom learning environment. CHI Extended Abstracts 2010: 4695-4698 - [c101]Benjamin Shih, Kenneth R. Koedinger, Richard Scheines:
Unsupervised Discovery of Student Strategies. EDM 2010: 201-210 - [c100]Kenneth R. Koedinger, John C. Stamper:
A Data Driven Approach to the Discovery of Better Cognitive Models. EDM 2010: 325-326 - [c99]Ryan Shaun Joazeiro de Baker, Adriana M. J. B. de Carvalho, Jay Raspat, Vincent Aleven, Albert T. Corbett, Kenneth R. Koedinger, Mihaela Cocea, Arnon Hershkovitz:
Educational data mining methods for studying student behaviors minute by minute across an entire school year. ICLS 2010: 47-48 - [c98]Ido Roll, Vincent Aleven, Kenneth R. Koedinger:
Analysis of students' actions during online invention activities - seeing the thinking through the numbers. ICLS 2010: 49-52 - [c97]Ruth Wylie, Kenneth R. Koedinger, Teruko Mitamura:
Extending the self-explanation effect to second language grammar learning. ICLS (1) 2010: 57-64 - [c96]Erin Walker, Nikol Rummel, Kenneth R. Koedinger:
Automated adaptive support for peer tutoring in high-school mathematics. ICLS 2010: 151-153 - [c95]Ido Roll, Vincent Aleven, Kenneth R. Koedinger:
The Invention Lab: Using a Hybrid of Model Tracing and Constraint-Based Modeling to Offer Intelligent Support in Inquiry Environments. Intelligent Tutoring Systems (1) 2010: 115-124 - [c94]Erin Walker, Sean Walker, Nikol Rummel, Kenneth R. Koedinger:
Using Problem-Solving Context to Assess Help Quality in Computer-Mediated Peer Tutoring. Intelligent Tutoring Systems (1) 2010: 145-155 - [c93]Ruth Wylie, Kenneth R. Koedinger, Teruko Mitamura:
Analogies, Explanations, and Practice: Examining How Task Types Affect Second Language Grammar Learning. Intelligent Tutoring Systems (1) 2010: 214-223 - [c92]Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger:
Using Data Mining Findings to Aid Searching for Better Cognitive Models. Intelligent Tutoring Systems (2) 2010: 312-314 - [c91]Noboru Matsuda, Victoria Keiser, Rohan Raizada, Arthur Tu, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger:
Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students. Intelligent Tutoring Systems (1) 2010: 317-326 - [c90]Nan Li, William W. Cohen, Kenneth R. Koedinger:
A Computational Model of Accelerated Future Learning through Feature Recognition. Intelligent Tutoring Systems (2) 2010: 368-370 - [c89]Noboru Matsuda, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger:
Learning by Teaching SimStudent. Intelligent Tutoring Systems (2) 2010: 449 - [c88]John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Jim Rankin, Sandy Demi:
PSLC DataShop: A Data Analysis Service for the Learning Science Community. Intelligent Tutoring Systems (2) 2010: 455
2000 – 2009
- 2009
- [j16]Vincent Aleven, Bruce M. McLaren, Jonathan Sewall, Kenneth R. Koedinger:
A New Paradigm for Intelligent Tutoring Systems: Example-Tracing Tutors. Int. J. Artif. Intell. Educ. 19(2): 105-154 (2009) - [j15]Erin Walker, Nikol Rummel, Kenneth R. Koedinger:
Integrating Collaboration and Intelligent Tutoring Data in the Evaluation of a Reciprocal Peer Tutoring Environment. Res. Pract. Technol. Enhanc. Learn. 4(3): 221-251 (2009) - [j14]Leena M. Razzaq, Jozsef Patvarczki, Shane F. Almeida, Manasi Vartak, Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger:
The ASSISTment Builder: Supporting the Life Cycle of Tutoring System Content Creation. IEEE Trans. Learn. Technol. 2(2): 157-166 (2009) - [j13]Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger:
Addressing the assessment challenge with an online system that tutors as it assesses. User Model. User Adapt. Interact. 19(3): 243-266 (2009) - [j12]Erin Walker, Nikol Rummel, Kenneth R. Koedinger:
CTRL: A research framework for providing adaptive collaborative learning support. User Model. User Adapt. Interact. 19(5): 387-431 (2009) - [c87]Erin Walker, Nikol Rummel, Kenneth R. Koedinger:
Modeling Helping Behavior in an Intelligent Tutor for Peer Tutoring. AIED 2009: 341-348 - [c86]Ryan Shaun Joazeiro de Baker, Adriana M. J. B. de Carvalho, Jay Raspat, Vincent Aleven, Albert T. Corbett, Kenneth R. Koedinger:
Educational Software Features that Encourage and Discourage "Gaming the System". AIED 2009: 475-482 - [c85]Philip I. Pavlik, Hao Cen, Kenneth R. Koedinger:
Performance Factors Analysis - A New Alternative to Knowledge Tracing. AIED 2009: 531-538 - [c84]Erin Walker, Nikol Rummel, Kenneth R. Koedinger:
Beyond explicit feedback: new directions in adaptive collaborative learning support. CSCL (1) 2009: 552-556 - [c83]Philip I. Pavlik Jr., Hao Cen, Kenneth R. Koedinger:
Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models. EDM 2009: 121-130 - 2008
- [j11]Neil T. Heffernan, Kenneth R. Koedinger, Leena M. Razzaq:
Expanding the Model-Tracing Architecture: A 3rd Generation Intelligent Tutor for Algebra Symbolization. Int. J. Artif. Intell. Educ. 18(2): 153-178 (2008) - [j10]Kenneth R. Koedinger, Martha W. Alibali, Mitchell J. Nathan:
Trade-Offs Between Grounded and Abstract Representations: Evidence From Algebra Problem Solving. Cogn. Sci. 32(2): 366-397 (2008) - [j9]Lisa Anthony, Jie Yang, Kenneth R. Koedinger:
Toward Next-Generation, Intelligent Tutors: Adding Natural Handwriting Input. IEEE Multim. 15(3): 64-68 (2008) - [j8]Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Ido Roll, Kenneth R. Koedinger:
Developing a generalizable detector of when students game the system. User Model. User Adapt. Interact. 18(3): 287-314 (2008) - [c82]Philip I. Pavlik, Hao Cen, Lili Wu, Kenneth R. Koedinger:
Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor. EDM 2008: 77-86 - [c81]Mingyu Feng, Joseph E. Beck, Neil T. Heffernan, Kenneth R. Koedinger:
Can an Intelligent Tutoring System Predict Math Proficiency as Well as a Standarized Test?. EDM 2008: 107-116 - [c80]Benjamin Shih, Kenneth R. Koedinger, Richard Scheines:
A Response Time Model For Bottom-Out Hints as Worked Examples. EDM 2008: 117-126 - [c79]Kenneth R. Koedinger, Kyle Cunningham, Alida Skogsholm, Brett Leber:
An Open Repository and analysis tools for fine-grained, longitudinal learner data. EDM 2008: 157-166 - [c78]Mingyu Feng, Neil T. Heffernan, Joseph E. Beck, Kenneth R. Koedinger:
Can we predict which groups of questions students will learn from?. EDM 2008: 218-225 - [c77]Jodi L. Davenport, David Yaron, David Klahr, Kenneth R. Koedinger:
When do diagrams enhance learning? A framework for designing relevant representations. ICLS (1) 2008: 191-198 - [c76]Nikol Rummel, Armin Weinberger, Christof Wecker, Frank Fischer, Anne Meier, Eleni Voyiatzaki, Georgios Kahrimanis, Hans Spada, Nikolaos M. Avouris, Erin Walker, Kenneth R. Koedinger, Carolyn P. Rosé, Rohit Kumar, Gahgene Gweon, Yi-Chia Wang, Mahesh Joshi:
New challenges in CSCL: towards adaptive script support. ICLS (3) 2008: 338-345 - [c75]Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger:
Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study. Intelligent Tutoring Systems 2008: 111-121 - [c74]Philip I. Pavlik, Thomas Bolster, Sue-mei Wu, Kenneth R. Koedinger, Brian MacWhinney:
Using Optimally Selected Drill Practice to Train Basic Facts. Intelligent Tutoring Systems 2008: 593-602 - [c73]Erin Walker, Nikol Rummel, Kenneth R. Koedinger:
To Tutor the Tutor: Adaptive Domain Support for Peer Tutoring. Intelligent Tutoring Systems 2008: 626-635 - [c72]Bruce M. McLaren, Sung-Joo Lim, Kenneth R. Koedinger:
When Is Assistance Helpful to Learning? Results in Combining Worked Examples and Intelligent Tutoring. Intelligent Tutoring Systems 2008: 677-680 - [c71]Yue Cui, Rohit Kumar, Carolyn P. Rosé, Kenneth R. Koedinger:
Story Generation to Accelerate Math Problem Authoring for Practice and Assessment. Intelligent Tutoring Systems 2008: 790-792 - [c70]Hao Cen, Kenneth R. Koedinger, Brian Junker:
Comparing Two IRT Models for Conjunctive Skills. Intelligent Tutoring Systems 2008: 796-798 - [c69]Aaron Bauer, Kenneth R. Koedinger:
Note-taking, selecting, and choice: designing interfaces that encourage smaller selections. JCDL 2008: 397-406 - 2007
- [j7]Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Kenneth R. Koedinger:
The Difficulty Factors Approach to the Design of Lessons in Intelligent Tutor Curricula. Int. J. Artif. Intell. Educ. 17(4): 341-369 (2007) - [c68]Ido Roll, Vincent Aleven, Bruce M. McLaren, Kenneth R. Koedinger:
Can Help Seeking Be Tutored? Searching for the Secret Sauce of Metacognitive Tutoring. AIED 2007: 203-210 - [c67]Adaeze Nwaigwe, Kenneth R. Koedinger, Kurt VanLehn, Robert G. M. Hausmann, Anders Weinstein:
Exploring Alternative Methods for Error Attribution in Learning Curves Analysis in Intelligent Tutoring Systems. AIED 2007: 246-253 - [c66]Erin Walker, Bruce M. McLaren, Nikol Rummel, Kenneth R. Koedinger:
Who Says Three's a Crowd? Using a Cognitive Tutor to Support Peer Tutoring. AIED 2007: 399-406 - [c65]Bruce M. McLaren, Sung-Joo Lim, David Yaron, Kenneth R. Koedinger:
Can a Polite Intelligent Tutoring System Lead to Improved Learning Outside of the Lab? AIED 2007: 433-440 - [c64]Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger:
Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation. AIED 2007: 467-476 - [c63]Hao Cen, Kenneth R. Koedinger, Brian Junker:
Is Over Practice Necessary? - Improving Learning Efficiency with the Cognitive Tutor through Educational Data Mining. AIED 2007: 511-518 - [c62]Lisa Anthony, Jie Yang, Kenneth R. Koedinger:
Benefits of Handwritten Input for Students Learning Algebra Equation Solving. AIED 2007: 521-523 - [c61]Benjamin Shih, Kenneth R. Koedinger, Richard Scheines:
Optimizing Student Models for Causality. AIED 2007: 644-646 - [c60]Aaron Bauer, Kenneth R. Koedinger:
Selection-based note-taking applications. CHI 2007: 981-990 - [c59]Janice D. Gobert, James D. Slotta, Jody Clarke-Midura, Chris Dede, Hannie Gijlers, Nadira Saab, Wouter R. van Joolingen, Ton de Jong, Kenneth R. Koedinger:
Fostering peer collaboration with technology. CSCL 2007: 23-27 - [c58]Erin Walker, Nikol Rummel, Bruce M. McLaren, Kenneth R. Koedinger:
The student becomes the master: integrating peer tutoring with cognitive tutoring. CSCL 2007: 751-753 - [c57]Lisa Anthony, Jie Yang, Kenneth R. Koedinger:
Adapting handwriting recognition for applications in algebra learning. ACM Multimedia EMME Workshop 2007: 47-56 - [c56]Ruth Wylie, Teruko Mitamura, Kenneth R. Koedinger, Jim Rankin:
Doing more than teaching students: opportunities for CALL in the learning sciences. SLaTE 2007: 21-24 - [c55]Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger:
Evaluating a Simulated Student Using Real Students Data for Training and Testing. User Modeling 2007: 107-116 - [c54]Kurt VanLehn, Kenneth R. Koedinger, Alida Skogsholm, Adaeze Nwaigwe, Robert G. M. Hausmann, Anders Weinstein, Benjamin Billings:
What's in a Step? Toward General, Abstract Representations of Tutoring System Log Data. User Modeling 2007: 455-459 - [p1]Leena M. Razzaq, Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger, Brian Junker, Goss Nuzzo-Jones, Michael A. Macasek, Kai P. Rasmussen, Terrence E. Turner, Jason A. Walonoski:
A Web-based Authoring Tool for Intelligent Tutors: Blending Assessment and Instructional Assistance. Intelligent Educational Machines 2007: 23-49 - [e1]Rosemary Luckin, Kenneth R. Koedinger, Jim E. Greer:
Artificial Intelligence in Education, Building Technology Rich Learning Contexts That Work, Proceedings of the 13th International Conference on Artificial Intelligence in Education, AIED 2007, July 9-13, 2007, Los Angeles, California, USA. Frontiers in Artificial Intelligence and Applications 158, IOS Press 2007, ISBN 978-1-58603-764-2 [contents] - 2006
- [j6]Vincent Aleven, Bruce M. McLaren, Ido Roll, Kenneth R. Koedinger:
Toward Meta-cognitive Tutoring: A Model of Help Seeking with a Cognitive Tutor. Int. J. Artif. Intell. Educ. 16(2): 101-128 (2006) - [c53]Aaron Bauer, Kenneth R. Koedinger:
Evaluating the effect of technology on note-taking and learning. CHI Extended Abstracts 2006: 520-525 - [c52]Neil T. Heffernan, Terrence E. Turner, Abraao L. N. Lourenco, Michael A. Macasek, Goss Nuzzo-Jones, Kenneth R. Koedinger:
The ASSISTment Builder: Towards an Analysis of Cost Effectiveness of ITS Creation. FLAIRS 2006: 515-520 - [c51]Aaron Bauer, Kenneth R. Koedinger:
Pasting and Encoding: Note-Taking in Online Courses. ICALT 2006: 789-793 - [c50]Lisa Anthony, Jie Yang, Kenneth R. Koedinger:
Towards the Application of a Handwriting Interface for Mathematics Learning. ICME 2006: 2077-2080 - [c49]Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger:
Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance Required. Intelligent Tutoring Systems 2006: 31-40 - [c48]Vincent Aleven, Bruce M. McLaren, Jonathan Sewall, Kenneth R. Koedinger:
The Cognitive Tutor Authoring Tools (CTAT): Preliminary Evaluation of Efficiency Gains. Intelligent Tutoring Systems 2006: 61-70 - [c47]Hao Cen, Kenneth R. Koedinger, Brian Junker:
Learning Factors Analysis - A General Method for Cognitive Model Evaluation and Improvement. Intelligent Tutoring Systems 2006: 164-175 - [c46]Erin Walker, Kenneth R. Koedinger, Bruce M. McLaren, Nikol Rummel:
Cognitive Tutors as Research Platforms: Extending an Established Tutoring System for Collaborative and Metacognitive Experimentation. Intelligent Tutoring Systems 2006: 207-216 - [c45]Bruce M. McLaren, Sung-Joo Lim, France Gagnon, David Yaron, Kenneth R. Koedinger:
Studying the Effects of Personalized Language and Worked Examples in the Context of a Web-Based Intelligent Tutor. Intelligent Tutoring Systems 2006: 318-328 - [c44]Ido Roll, Vincent Aleven, Bruce M. McLaren, Eunjeong Ryu, Ryan Shaun Joazeiro de Baker, Kenneth R. Koedinger:
The Help Tutor: Does Metacognitive Feedback Improve Students' Help-Seeking Actions, Skills and Learning? Intelligent Tutoring Systems 2006: 360-369 - [c43]Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Kenneth R. Koedinger, Shelley Evenson, Ido Roll, Angela Z. Wagner, Meghan Naim, Jay Raspat, Daniel J. Baker, Joseph E. Beck:
Adapting to When Students Game an Intelligent Tutoring System. Intelligent Tutoring Systems 2006: 392-401 - [c42]Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Kenneth R. Koedinger, Ido Roll:
Generalizing Detection of Gaming the System Across a Tutoring Curriculum. Intelligent Tutoring Systems 2006: 402-411 - [c41]Ido Roll, Eunjeong Ryu, Jonathan Sewall, Brett Leber, Bruce M. McLaren, Vincent Aleven, Kenneth R. Koedinger:
Towards Teaching Metacognition: Supporting Spontaneous Self-Assessment. Intelligent Tutoring Systems 2006: 738-740 - [c40]Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger:
Addressing the testing challenge with a web-based e-assessment system that tutors as it assesses. WWW 2006: 307-316 - 2005
- [c39]Vincent Aleven, Ido Roll, Bruce M. McLaren, Eunjeong Ryu, Kenneth R. Koedinger:
An architecture to combine meta-cognitive and cognitive tutoring: Pilot testing the Help Tutor. AIED 2005: 17-24 - [c38]Ryan Shaun Baker, Ido Roll, Albert T. Corbett, Kenneth R. Koedinger:
Do Performance Goals Lead Students to Game the System? AIED 2005: 57-64 - [c37]Brent Martin, Kenneth R. Koedinger, Antonija Mitrovic, Santosh Mathan:
On Using Learning Curves to Evaluate ITS. AIED 2005: 419-426 - [c36]Leena M. Razzaq, Mingyu Feng, Goss Nuzzo-Jones, Neil T. Heffernan, Kenneth R. Koedinger, Brian Junker, Steven Ritter, Andrea Knight, Edwin Mercado, Terrence E. Turner, Ruta Upalekar, Jason A. Walonoski, Michael A. Macasek, Christopher Aniszczyk, Sanket Choksey, Tom Livak, Kai P. Rasmussen:
Blending Assessment and Instructional Assisting. AIED 2005: 555-562 - [c35]Carolyn Penstein Rosé, Pinar Donmez, Gahgene Gweon, Andrea Knight, Brian Junker, William W. Cohen, Kenneth R. Koedinger, Neil T. Heffernan:
Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. AIED 2005: 571-578 - [c34]Terrence E. Turner, Michael A. Macasek, Goss Nuzzo-Jones, Neil T. Heffernan, Kenneth R. Koedinger:
The Assistment Builder: A Rapid Development Tool for ITS. AIED 2005: 929-931 - [c33]Vincent Aleven, Bruce M. McLaren, Kenneth R. Koedinger:
Rapid development of computer-based tutors with the Cognitive Tutor Authoring Tools (CTAT). AIED 2005: 990 - [c32]Lisa Anthony, Jie Yang, Kenneth R. Koedinger:
Evaluation of multimodal input for entering mathematical equations on the computer. CHI Extended Abstracts 2005: 1184-1187 - [c31]Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger, Ido Roll:
Detecting When Students Game the System, Across Tutor Subjects and Classroom Cohorts. User Modeling 2005: 220-224 - [c30]Ido Roll, Ryan Shaun Baker, Vincent Aleven, Bruce M. McLaren, Kenneth R. Koedinger:
Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems. User Modeling 2005: 367-376 - 2004
- [c29]Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger, Angela Z. Wagner:
Off-task behavior in the cognitive tutor classroom: when students "game the system". CHI 2004: 383-390 - [c28]Bonnie E. John, Konstantine C. Prevas, Dario D. Salvucci, Kenneth R. Koedinger:
Predictive human performance modeling made easy. CHI 2004: 455-462 - [c27]Octav Popescu, Vincent Aleven, Kenneth R. Koedinger:
Understanding Students' Explanations in Geometry Tutoring. COLING 2004 - [c26]Scott M. Stevens, Albert T. Corbett, Kenneth R. Koedinger, Angela Z. Wagner, Chih-Yu Chao, Harry Ulrich, Sharon Lesgold:
ALPS: Bringing Active Inquiry into Active Problem Solving. CELDA 2004: 543-544 - [c25]Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kenneth R. Koedinger:
What Goals Do Students Have When Choosing the Actions They Perform? ICCM 2004: 380-381 - [c24]Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger:
Learning to Distinguish Between Representations of Data: A Cognitive Tutor That Uses Contrasting Cases. ICLS 2004 - [c23]N. M. Chang, Kenneth R. Koedinger, Marsha C. Lovett:
The Impact of Spurious Correlations on Students' Problem-Solving. ICLS 2004 - [c22]Bruce M. McLaren, Kenneth R. Koedinger, Mike Schneider, Andreas Harrer, Lars Bollen:
Toward Cognitive Tutoring in a Collaborative, Web-Based Environment. ICWE Workshops 2004: 167-179 - [c21]Kenneth R. Koedinger, Vincent Aleven, Neil T. Heffernan, Bruce M. McLaren, Matthew Hockenberry:
Opening the Door to Non-programmers: Authoring Intelligent Tutor Behavior by Demonstration. Intelligent Tutoring Systems 2004: 162-174 - [c20]Vincent Aleven, Bruce M. McLaren, Ido Roll, Kenneth R. Koedinger:
Toward Tutoring Help Seeking: Applying Cognitive Modeling to Meta-cognitive Skills. Intelligent Tutoring Systems 2004: 227-239 - [c19]Ethan A. Croteau, Neil T. Heffernan, Kenneth R. Koedinger:
Why Are Algebra Word Problems Difficult? Using Tutorial Log Files and the Power Law of Learning to Select the Best Fitting Cognitive Model. Intelligent Tutoring Systems 2004: 240-250 - [c18]Vincent Aleven, Amy Ogan, Octav Popescu, Cristen Torrey, Kenneth R. Koedinger:
Evaluating the Effectiveness of a Tutorial Dialogue System for Self-Explanation. Intelligent Tutoring Systems 2004: 443-454 - [c17]Lisa Anthony, Albert T. Corbett, Angela Z. Wagner, Scott M. Stevens, Kenneth R. Koedinger:
Student Question-Asking Patterns in an Intelligent Algebra Tutor. Intelligent Tutoring Systems 2004: 455-467 - [c16]Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger:
Detecting Student Misuse of Intelligent Tutoring Systems. Intelligent Tutoring Systems 2004: 531-540 - [c15]Ryan Shaun Baker, Angela Z. Wagner, Albert T. Corbett, Kenneth R. Koedinger:
The Social Role of Technical Personnel in the Deployment of Intelligent Tutoring Systems. Intelligent Tutoring Systems 2004: 785-787 - [c14]Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kenneth R. Koedinger:
A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems. Intelligent Tutoring Systems 2004: 854-856 - [c13]Ido Roll, Vincent Aleven, Kenneth R. Koedinger:
Promoting Effective Help-Seeking Behavior Through Declarative Instruction. Intelligent Tutoring Systems 2004: 857-859 - [c12]Neil T. Heffernan, Peter M. Wiemer-Hastings, Gregory Aist, Vincent Aleven, Ivon Arroyo, Paul Brna, Mark G. Core, Martha W. Evens, Reva Freedman, Michael Glass, Arthur C. Graesser, Kenneth R. Koedinger, Pamela W. Jordan, Diane J. Litman, Evelyn Lulis, Helen Pain, Carolyn P. Rosé, Beverly Park Woolf, Claus Zinn:
Workshop on Dialog-Based Intelligent Tutoring Systems: State of the Art and New Research Directions. Intelligent Tutoring Systems 2004: 914 - 2003
- [c11]Antonija Mitrovic, Kenneth R. Koedinger, Brent Martin:
A Comparative Analysis of Cognitive Tutoring and Constraint-Based Modeling. User Modeling 2003: 313-322 - 2002
- [j5]Vincent Aleven, Kenneth R. Koedinger:
An effective metacognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor. Cogn. Sci. 26(2): 147-179 (2002) - [c10]Santosh A. Mathan, Kenneth R. Koedinger:
An Empirical Assessment of Comprehension Fostering Features in an Intelligent Tutoring System. Intelligent Tutoring Systems 2002: 330-343 - [c9]Vincent Aleven, Octav Popescu, Kenneth R. Koedinger:
Pilot-Testing a Tutorial Dialogue System That Supports Self-Explanation. Intelligent Tutoring Systems 2002: 344-354 - [c8]Benjamin MacLaren, Kenneth R. Koedinger:
When and Why Does Mastery Learning Work: Instructional Experiments with ACT-R "SimStudents". Intelligent Tutoring Systems 2002: 355-366 - [c7]Neil T. Heffernan, Kenneth R. Koedinger:
An Intelligent Tutoring System Incorporating a Model of an Experienced Human Tutor. Intelligent Tutoring Systems 2002: 596-608 - 2000
- [j4]Lisa A. Haverty, Kenneth R. Koedinger, David Klahr, Martha W. Alibali:
Solving inductive reasoning problems in mathematics: not-so-trivial pursuit. Cogn. Sci. 24(2): 249-298 (2000) - [c6]Vincent Aleven, Kenneth R. Koedinger:
Limitations of Student Control: Do Students Know When They Need Help? Intelligent Tutoring Systems 2000: 292-303
1990 – 1999
- 1999
- [j3]Craig S. Miller, Jill Fain Lehman, Kenneth R. Koedinger:
Goals and learning in microworlds. Cogn. Sci. 23(3): 305-336 (1999) - [c5]Albert T. Corbett, John R. Anderson, Arthur C. Graesser, Kenneth R. Koedinger, Kurt VanLehn:
Third generation computer tutors: learn from or ignore human tutors? CHI Extended Abstracts 1999: 85-86 - 1998
- [j2]Kenneth R. Koedinger, John R. Anderson:
Illustrating Principled Design: The Early Evolution of a Cognitive Tutor for Algebra Symbolization. Interact. Learn. Environ. 5(1): 161-179 (1998) - [c4]Kenneth R. Koedinger, Daniel D. Suthers, Kenneth D. Forbus:
Component-Based Construction of a Science Learning Space. Intelligent Tutoring Systems 1998: 166-175 - [c3]Vincent Aleven, Kenneth R. Koedinger, H. Colleen Sinclair, Jaclyn Snyder:
combatting Shallow Learning in a Tutor for Geometry Problem Solving. Intelligent Tutoring Systems 1998: 364-373 - [c2]Mary A. Mark, Kenneth R. Koedinger, William S. Hadley:
Elaborating Models of Algebraic Expression-Writing. Intelligent Tutoring Systems 1998: 524-533 - 1996
- [c1]Kenneth R. Koedinger, Erika L. F. Suecker:
PAT Goes to College: Evaluating a Cognitive Tutor for Developmental Mathematics. ICLS 1996 - 1990
- [j1]Kenneth R. Koedinger, John R. Anderson:
Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry. Cogn. Sci. 14(4): 511-550 (1990)
Coauthor Index
[i23] [i21] [c268] [c265] [c261] [i17] [i12] [j45] [c251] [c250] [c245] [i5] [i3] [c239] [c231] [c230] [j35] [j34] [j33] [c179] [c166] [c148] [c146] [c143] [c141] [c136] [c133] [c121] [c117] [c113] [c99] [c98] [c95] [j16] [c86] [c68] [j6] [c48] [c44] [c41] [c39] [c33] [c30] [c27] [c25] [c21] [c20] [c18] [c14] [c13] [c12] [j5] [c9] [c6] [c3]
Paulo Carvalho 0004
aka: Paulo F. Carvalho
aka: Paulo F. Carvalho
Christopher J. MacLellan
aka: Christopher MacLellan
aka: Christopher MacLellan
Carolyn P. Rosé
aka: Carolyn Penstein Rosé
aka: Carolyn Penstein Rosé
Gabriel Stylianides
aka: Gabriel J. Stylianides
aka: Gabriel J. Stylianides
Judith Uchidiuno
aka: Judith Odili Uchidiuno
aka: Judith Odili Uchidiuno
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