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ORCIDKyong Jin Shim
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2020 – today
- 2023
[j3]Kyong Jin Shim
, Thomas Menkhoff, Ying Qian Lydia Teo, Clement Shi Qi Ong:
Assessing the effectiveness of a chatbot workshop as experiential teaching and learning tool to engage undergraduate students. Educ. Inf. Technol. 28(12): 16065-16088 (2023)- [c45]Swapna Gottipati, Kyong Jin Shim, Venky Shankararaman:
AI for Connectivism Learning - Undergraduate Students' Experiences of ChatGPT in Advanced Programming Courses. AMCIS 2023 - [c44]Swapna Gottipati, Kyong Jin Shim, Richie Tan, Zi Rong Tan:
Learning Web Programming: Identifying Complex Topics from Student Discussion Forums and Lecture Slides. EDUCON 2023: 1-8 - [c43]Eng Lieh Ouh, Benjamin Kok Siew Gan, Kyong Jin Shim, Swavek Wlodkowski:
ChatGPT, Can You Generate Solutions for my Coding Exercises? An Evaluation on its Effectiveness in an undergraduate Java Programming Course. ITiCSE (1) 2023: 54-60 - [c42]Manoj Thulasidas, Kyong Jin Shim, Jonathan Teo:
Peer Learning in an Undergraduate Linear Algebra Course - A Social Network Analysis. TALE 2023: 1-8 - [i4]Eng Lieh Ouh, Benjamin Kok Siew Gan, Kyong Jin Shim, Swavek Wlodkowski:
ChatGPT, Can You Generate Solutions for my Coding Exercises? An Evaluation on its Effectiveness in an undergraduate Java Programming Course. CoRR abs/2305.13680 (2023) - 2022
- [c41]Kyong Jin Shim, Swapna Gottipati, Venky Shankararaman:
Coders Assembly - Peer Assisted Learning Model for Freshman Programming Courses. EDUCON 2022: 1128-1134 - [c40]Christopher M. Poskitt, Kyong Jin Shim, Yi Meng Lau, Hong Seng Ong:
Mind the Gap: Reimagining an Interactive Programming Course for the Synchronous Hybrid Classroom. HICSS 2022: 1-10 - [c39]Kyong Jin Shim, Siaw Ling Lo, Su Yee Liew:
Do Sequels Outperform or Disappoint? Insights from an Analysis of Amazon Echo Consumer Reviews. HICSS 2022: 1-10 - [c38]Lwin Khin Shar, Christopher M. Poskitt, Kyong Jin Shim, Li Ying Leonard Wong:
XSS for the Masses: Integrating Security in a Web Programming Course using a Security Scanner. ITiCSE (1) 2022: 463-469 - [c37]Yi Meng Lau, Rafael J. Barros, Swapna Gottipati, Kyong Jin Shim:
Gamified Online Industry Learning Platform for Teaching of Foundational Computing Skills. TALE 2022: 112-119 - [c36]Shawn Pang, Kyong Jin Shim, Yi Meng Lau, Swapna Gottipati:
VR Computing Lab: An Immersive Classroom for Computing Learning. TALE 2022: 141-148 - [i3]Lwin Khin Shar, Christopher M. Poskitt, Kyong Jin Shim, Li Ying Leonard Wong:
XSS for the Masses: Integrating Security in a Web Programming Course using a Security Scanner. CoRR abs/2204.12416 (2022) - 2021
- [c35]Swapna Gottipati, Rafael J. Barros, Kyong Jin Shim:
Mining Informal and Short Weekly Student Self-Reflections for Improving Student Learning Experience. AMCIS 2021 - [c34]Swapna Gottipati, Venky Shankararaman, Kyong Jin Shim, Chan Yuen Yip:
Information Systems Business Analytics Curriculum - Competencies from National Infocomm Skills Model and Job Listings. AMCIS 2021 - [c33]Swapna Gottipati, Kyong Jin Shim, Hui Hian Teo, Karthik Nityan, Shreyansh Shivam:
Analyzing Tweets on New Norm: Work from Home during COVID-19 Outbreak. CCWC 2021: 500-507 - [c32]Swapna Gottipati, Kyong Jin Shim, Sarthak Sahoo:
Glassdoor Job Description Analytics - Analyzing Data Science Professional Roles and Skills. EDUCON 2021: 1329-1336 - [c31]Kyong Jin Shim, Swapna Gottipati, Yi Meng Lau:
Integration of Professional Certifications with Information Systems Business Analytics Track Curriculum. EDUCON 2021: 1337-1344 - [c30]Yi Meng Lau, Kyong Jin Shim, Swapna Gottipati:
Design and Supervision Model of Group Projects for Active Learning. FIE 2021: 1-9 - [c29]Eng Lieh Ouh, Kyong Jin Shim:
Integration of Information Technology Certifications into Undergraduate Computing Curriculum. FIE 2021: 1-9 - [c28]Devyn Wei Hung Tan, Swapna Gottipati, Kyong Jin Shim, Venky Shankararaman:
Integrated Discourse Analysis & Learning Skills Framework for Class Conversations. FIE 2021: 1-9 - [c27]Kyong Jin Shim, Swapna Gottipati, Yi Meng Lau:
Integrated Framework for Developing Instructional Videos for Foundational Computing Courses. PACIS 2021: 217 - [i2]Christopher M. Poskitt, Kyong Jin Shim, Yi Meng Lau, Hong Seng Ong:
Mind the Gap: Reimagining an Interactive Programming Course for the Synchronous Hybrid Classroom. CoRR abs/2109.09073 (2021) - 2020
- [c26]Sebastian Zhi Tao Khoo, Leong Hock Ho, Ee Hong Lee, Danston Kheng Boon Goh, Zehao Zhang, Swee Hong Ng, Haodi Qi, Kyong Jin Shim:
Social Media Analytics: A Case Study of Singapore General Election 2020. IEEE BigData 2020: 5730-5732 - [c25]Derrick Ming Yang Lee, Dion Wei Xuan Ang, Grace Mei Ching Pua, Lee Ning Ng, Sharon Purbowo, Eugene Wen Jia Choy, Kyong Jin Shim:
A Social Network Analysis of Jobs and Skills. IEEE BigData 2020: 5747-5749 - [c24]Xuesi Sim, Ern Rae Chang, Yu Xiang Ong, Jie Ying Yeo, Christine Bai Shuang Yan, Eugene Wen Jia Choy, Kyong Jin Shim:
Digital Social Listening on Conversations About Sexual Harassment. IEEE BigData 2020: 5825-5827
2010 – 2019
- 2019
- [c23]Eugene W. J. Choy, Winston M. K. Ho, Xiaohang Li, Ragini Verma, Li J. Sim, Kyong Jin Shim:
Happy Toilet: A Social Analytics Approach to the Study of Public Toilet Cleanliness. IEEE BigData 2019: 6024-6026 - [c22]Eugene W. J. Choy, Gladys H. L. Ng, Martius J. H. Lim, Kyong Jin Shim:
Listen, Nudge, Empower: A Mobile Gratitude Journal Application. IEEE BigData 2019: 6027-6029 - [c21]Cheng L. Lee, Joel-David J. J. Wong, Zi Y. Lim, Belinda S. T. Tho, Sean S. W. Kwek, Kyong Jin Shim:
How Does Fake News Spread: Raising Awareness & Educating the Public with a Simulation Tool. IEEE BigData 2019: 6119-6121 - [c20]Maruthi Prithivirajan, Kyong Jin Shim:
An IoT-Driven Smart Cafe Solution for Human Traffic Management. IEEE BigData 2019: 6186-6188 - [c19]Haodi Qi, Hanyu Jiang, Wende Bu, Chengzi Zhang, Kyong Jin Shim:
Tracking Political Events in Social Media: A Case Study of Hong Kong Protests. IEEE BigData 2019: 6192-6194 - [c18]Jane H. K. Seah, Kyong Jin Shim:
Plugin to a Healthier Life: A Web Browser Plugin for Mental Health Monitoring. IEEE BigData 2019: 6214-6216 - 2018
- [c17]Li Chin Ho, Kyong Jin Shim:
Data Mining Approach to the Identification of At-Risk Students. IEEE BigData 2018: 5333-5335 - [c16]Jane H. K. Seah, Kyong Jin Shim:
Data Mining Approach to the Detection of Suicide in Social Media: A Case Study of Singapore. IEEE BigData 2018: 5442-5444 - [c15]Colin K. L. Tay, Kyong Jin Shim:
A Cloud-Based Data Gathering and Processing System for Intelligent Demand Forecasting. IEEE BigData 2018: 5451-5453 - 2017
- [j2]Antonette Shibani, Elizabeth Koh, Vivian Lai, Kyong Jin Shim:
Assessing the Language of Chat for Teamwork Dialogue. J. Educ. Technol. Soc. 20(2): 224-237 (2017) - 2016
- [c14]Vivian Lai, Kyong Jin Shim, Richard Jayadi Oentaryo, Philips Kokoh Prasetyo, Casey Vu, Ee-Peng Lim, David Lo:
CareerMapper: An automated resume evaluation tool. IEEE BigData 2016: 4005-4007 - [c13]Antonette Shibani, Elizabeth Koh, Vivian Lai, Kyong Jin Shim:
Analysis of teamwork dialogue: A data mining approach. IEEE BigData 2016: 4032-4034 - [i1]Vivian Lai, Kyong Jin Shim, Richard Jayadi Oentaryo, Philips Kokoh Prasetyo, Casey Vu, Ee-Peng Lim, David Lo:
CareerMapper: An Automated Resume Evaluation Tool. CoRR abs/1611.05339 (2016) - 2015
- [c12]Maruthi Prithivirajan, Vivian Lai, Kyong Jin Shim, Koo Ping Shung:
Analysis of star ratings in consumer reviews: A case study of Yelp. IEEE BigData 2015: 2954-2956 - 2011
- [c11]Kyong Jin Shim, Kuo-Wei Hsu, Jaideep Srivastava:
Modeling Player Performance in Massively Multiplayer Online Role-Playing Games: The Effects of Diversity in Mentoring Network. ASONAM 2011: 438-442 - [c10]Kyong Jin Shim, Kuo-Wei Hsu, Jaideep Srivastava:
Effects of Mentoring on Player Performance in Massively Multiplayer Online Role-Playing Games (MMORPGs). ASONAM 2011: 561-562 - [c9]Colin DeLong, Nishith Pathak, Kendrick Erickson, Eric Perrino, Kyong Jin Shim, Jaideep Srivastava:
TeamSkill: Modeling Team Chemistry in Online Multi-player Games. PAKDD (2) 2011: 519-531 - [c8]Kyong Jin Shim, Kuo-Wei Hsu, Jaideep Srivastava:
An Exploratory Study of Player Performance, Motivation, and Enjoyment in Massively Multiplayer Online Role-Playing Games. SocialCom/PASSAT 2011: 135-140 - [c7]Kyong Jin Shim, Kuo-Wei Hsu, Samarth Damania, Colin DeLong, Jaideep Srivastava:
An Exploratory Study of Player and Team Performance in Multiplayer First-Person-Shooter Games. SocialCom/PASSAT 2011: 617-620 - 2010
- [c6]Kyong Jin Shim, Jaideep Srivastava:
Behavioral profiles of character types in EverQuest II. CIG 2010: 186-194 - [c5]Kyong Jin Shim:
Evaluation of Protein Backbone Alphabets: Using Predicted Local Structure for Fold Recognition. ICDM Workshops 2010: 755-762 - [c4]Kyong Jin Shim, Jaideep Srivastava:
Sequence Alignment Based Analysis of Player Behavior in Massively Multiplayer Online Role-Playing Games (MMORPGs). ICDM Workshops 2010: 997-1004 - [c3]Kyong Jin Shim, Richa Sharan, Jaideep Srivastava:
Player Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs). PAKDD (2) 2010: 71-80 - [c2]Kyong Jin Shim, Jaideep Srivastava:
Team Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs). SocialCom/PASSAT 2010: 128-136
2000 – 2009
- 2009
- [c1]Kyong Jin Shim, Muhammad Aurangzeb Ahmad, Nishith Pathak, Jaideep Srivastava:
Inferring Player Rating from Performance Data in Massively Multiplayer Online Role-Playing Games (MMORPGs). CSE (4) 2009: 1199-1204 - 2005
- [j1]Eric W. Klee, Kyong Jin Shim, Michael A. Pickart, Stephen C. Ekker, Lynda B. M. Ellis:
AMOD: a morpholino oligonucleotide selection tool. Nucleic Acids Res. 33(Web-Server-Issue): 506-511 (2005)
Coauthor Index
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last updated on 2024-08-05 20:25 CEST by the dblp team
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