| Case study: Using MOOCs for conventional college coursework R Firmin, E Schiorring, J Whitmer, T Willett, ED Collins, S Sujitparapitaya Distance Education 35 (2), 178-201, 2014 | 147 | 2014 |
| Applying learning analytics to investigate timed release in online learning F Martin, JC Whitmer Technology, Knowledge and Learning 21, 59-74, 2016 | 59 | 2016 |
| Logging on to improve achievement: Evaluating the relationship between use of the learning management system, student characteristics, and academic achievement in a hybrid … JC Whitmer University of California, Davis, 2013 | 48 | 2013 |
| Improving undergraduate student achievement in large blended courses through data-driven interventions B Dodge, J Whitmer, JP Frazee Proceedings of the fifth international conference on learning analytics and …, 2015 | 35 | 2015 |
| Preliminary summary SJSU+ Augmented Online Learning Environment pilot project R Firmin, E Schiorring, J Whitmer, T Willett, S Sujitparapitaya | 34* | 2013 |
| Analytics in progress: Technology use, student characteristics, and student achievement J Whitmer, K Fernandes, WR Allen EDUCAUSE Review Online 7, 1-10, 2012 | 33 | 2012 |
| Patterns of persistence: what engages students in a remedial English writing MOOC? J Whitmer, E Schiorring, P James Proceedings of the fourth international conference on learning analytics and …, 2014 | 31 | 2014 |
| The predictive learning analytics revolution: Leveraging learning data for student success S Alhadad, K Arnold, J Baron, I Bayer, C Brooks, R Little, R Rocchio, ... EDUCAUSE Center for Analysis and Research (ECAR), 2015 | 25 | 2015 |
| Random Forests for Evaluating Pedagogy and Informing Personalized Learning. K Spoon, J Beemer, JC Whitmer, J Fan, JP Frazee, J Stronach, ... Journal of Educational Data Mining 8 (2), 20-50, 2016 | 23 | 2016 |
| Patterns in Blackboard Learn tool use: Five course design archetypes J Whitmer, N Nuñez, T Harfield, D Forteza Blackboard: Washington, DC, USA, 2016 | 23 | 2016 |
| Learning Analytics Research for LMS Course Design: Two Studies J Fritz, J Whitmer Educause Review, 2017 | 14 | 2017 |
| Creating data for learning analytics ecosystems K Kitto, J Whitmer, A Silvers, M Webb Society for Learning Analytics Research, 2020 | 12 | 2020 |
| Ethical learning analytics:“Do no harm” versus “do nothing” J Fritz, J Whitmer New directions for institutional research 2019 (183), 27-38, 2019 | 11 | 2019 |
| How successful students use LMS tools–confirming our hunches J Whitmer, N Nuñez, D Forteza Blackboard Blog, 2016 | 10 | 2016 |
| How students engage with a remedial English writing MOOC: A case study in learning analytics with big data J Whitmer, E Schiorring, P James, S Miley Educause learning initiative, 2015 | 9 | 2015 |
| The impact of student-facing LMS dashboards SD Teasley, J Whitmer Blackboard. https://www. blackboard. com/en-uk/resources/impact-student …, 2017 | 7 | 2017 |
| How am I Doing?: Student-Facing Performance Dashboards in Higher Education CC Haynes, SD Teasley, S Hayley, M Oster, J Whitmer Companion Proceedings of the 8th international conference on learning …, 2018 | 6 | 2018 |
| Moving the heart and head: Implications for learning analytics research J Fritz, J Whitmer Educause Review, 2017 | 6 | 2017 |
| Patterns in Course Design: How instructors ACTUALLY use the LMS J Whitmer Blackboard Blog, October 27, 2016 | 6 | 2016 |
| Scaling course design as a learning analytics variable J Fritz, T Penniston, M Sharkey, J Whitmer Blended Learning, 73-93, 2021 | 4 | 2021 |
Florence MartinNorth Carolina State UniversityVerified email at ncsu.edu
