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ORCIDJournal of Learning Analytic, Volume 1
Volume 1, Number 1, May 2014
- Dragan Gasevic
, Negin Mirriahi, Phillip D. Long, Shane Dawson:
Editorial - Inaugural Issue of the Journal of Learning Analytics. 1-2 - George Siemens:
The Journal of Learning Analytics: Supporting and Promoting Learning Analytics Research. 3-5 - Sandeep M. Jayaprakash, Erik W. Moody, Eitel J. M. Lauría, James R. Regan, Joshua D. Baron:
Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative. 6-47 - Monika Andergassen, Felix Mödritscher, Gustaf Neumann:
Practice and Repetition during Exam Preparation in Blended Learning Courses: Correlations with Learning Results. 48-74 - Geraldine Gray:
A Review of Psychometric Data Analysis and Applications in Modelling of Academic Achievement in Tertiary Education. 75-106 - Zachary A. Pardos, Ryan S. Baker, Maria Ofelia San Pedro, Sujith M. Gowda, Supreeth M. Gowda:
Affective States and State Tests: Investigating How Affect and Engagement during the School Year Predict End-of-Year Learning Outcomes. 107-128 - John P. Buerck:
A Resource-Constrained Approach to Implementing Analytics in an Institution of Higher Education: An Experience Report. 129-139 - Jennifer Heath:
Contemporary Privacy Theory Contributions to Learning Analytics. 140-149
Volume 1, Number 2, August 2014
- Simon Knight, Simon Buckingham Shum, Karen Littleton:
Epistemology, Assessment, Pedagogy: Where Learning Meets Analytics in the Middle Space. - Negin Mirriahi, Dragan Gasevic, Shane Dawson, Phillip D. Long:
Scientometrics as an Important Tool for the Growth of the Field of Learning Analytics. 1-4 - Xavier Ochoa, Dan Suthers, Katrien Verbert, Erik Duval:
Analysis and Reflections on the Third Learning Analytics and Knowledge Conference (LAK 2013). 5-22 - Alyssa Wise, Yuting Zhao, Simone Hausknecht:
Learning Analytics for Online Discussions: Embedded and Extracted Approaches. 48-71 - Iassen Halatchliyski, Tobias Hecking, Tilman Göhnert, Heinz Ulrich Hoppe:
Analyzing the Main Paths of Knowledge Evolution and Contributor Roles in an Open Learning Community. 72-93 - Carlos Monroy, Virginia Snodgrass Rangel, Reid Whitaker:
A Strategy for Incorporating Learning Analytics into the Design and Evaluation of a K-12 Science Curriculum. 94-125 - Bjorn Levi Gunnarsson, Richard Alterman:
Peer Promotions as a Method to Identify Quality Content. 126-150 - Paulo Blikstein:
Analyzing Engineering Design through the Lens of Computation. 151-186
Volume 1, Number 3, November 2014
- Negin Mirriahi, Shane Dawson, Dragan Gasevic, Philip D. Long:
Widening the Field and Sparks of the Future. 1-3 - Abelardo Pardo, Stephanie D. Teasley:
Learning Analytics Research, Theory and Practice: Widening the Discipline. 4-6 - Everaldo Aguiar, G. Alex Ambrose, Nitesh V. Chawla, Victoria Goodrich, Jay B. Brockman:
Engagement vs Performance: Using Electronic Portfolios to Predict First Semester Engineering Student Persistence. 7-33 - Tobias Hecking, Sabrina Ziebarth, Heinz Ulrich Hoppe:
Analysis of Dynamic Resource Access Patterns in Online Courses. 34-60 - Ming Ming Chiu, Nobuko Fujita:
Statistical Discourse Analysis: A method for modeling online discussion processes. 61-83 - Gonzalo Méndez, Xavier Ochoa, Katherine Chiluiza, Bram de Wever:
Curricular Design Analysis: A Data-Driven Perspective. 84-119 - Rebecca Ferguson, Leah P. Macfadyen, Doug Clow, Belinda Tynan, Shirley Alexander, Shane Dawson:
Setting Learning Analytics in Context: Overcoming the Barriers to Large-Scale Adoption. 120-144 - Mykola Pechenizkiy, Dragan Gasevic:
Introduction into Sparks of the Learning Analytics Future. 145-149 - Min Yuan, Mimi Recker:
Characterizing User Behaviors and Resulting Products in an Online Educational Community: A Comparison between Novices and Elders. 150-153 - Charles Lang:
An Adaptive Model of Student Performance Using Inverse Bayes. 154-156 - Liaqat Ali, Marek Hatala, Dragan Gasevic, Philip H. Winne:
Leveraging MSLQ Data for Predicting Students Achievement Goal Orientations. 157-160 - Vladimir Ivancevic:
Constructing Programming Tests from an Item Pool: Pushing the Limits of Student Knowledge using Assessment and Learning Analytics. 161-164 - Zacharoula K. Papamitsiou, Anastasios A. Economides:
Temporal Learning Analytics for Adaptive Assessment. 165-168 - Cheng Ye, Gautam Biswas:
Early Prediction of Student Dropout and Performance in MOOCs using Higher Granularity Temporal Information. 169-172 - Carrie Demmans Epp:
Mobile Adaptive Communication Support for Vocabulary Acquisition. 173-175 - Mirko Raca, Pierre Dillenbourg:
Classroom Social Signal Analysis. 176-178 - Tara L. Kaczorowski, Sharon Raimondi:
eWorkbooks for Mathematics: Mapping the Independent Learning Experiences of Elementary Students with Learning Disabilities. 179-182 - Nia M. Dowell, Arthur C. Graesser:
Modeling Learners' Cognitive, Affective, and Social Processes through Language and Discourse. 183-186 - Dawn Marie Gilmore:
Goffman's front stage and backstage behaviors in online education. 187-190 - Srecko Joksimovic, Dragan Gasevic, Marek Hatala:
Learning Analytics for Networked Learning Models. 191-194 - Vitomir Kovanovic, Dragan Gasevic, Marek Hatala:
Learning Analytics for Communities of Inquiry. 195-198 - Sven Charleer, Joris Klerkx, Erik Duval:
Learning Dashboards. 199-202 - Yuan Wang, Luc Paquette, Ryan Baker:
A Longitudinal Study on Learner Career Advancement in MOOCs. 203-206 - Vladimer Kobayashi, Stefan T. Mol, Gábor Kismihók:
Labour Market Driven Learning Analytics. 207-210 - Noureddine Elouazizi:
Critical Factors In Data Governance For Learning Analytics. 211-222 - Robert L. Dunbar, Molly J. Dingel, Xavier Prat-Resina:
Connecting Analytics and Curriculum Design: Process and Outcomes of Building a Tool to Browse Data Relevant to Course Designers. 223-243
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