| Year |
Citation |
Score |
| 2020 |
Crossley SA, Karumbaiah S, Ocumpaugh J, Labrum MJ, Baker RS. Predicting Math Identity Through Language and Click-Stream Patterns in a Blended Learning Mathematics Program for Elementary Students Journal of Learning Analytics. 7: 19-37. DOI: 10.18608/Jla.2020.71.3 |
0.392 |
|
| 2020 |
Baker RS, Berning AW, Gowda SM, Zhang S, Hawn A. Predicting K-12 Dropout Journal of Education For Students Placed At Risk (Jespar). 25: 28-54. DOI: 10.1080/10824669.2019.1670065 |
0.354 |
|
| 2020 |
Owen VE, Baker RS. Fueling Prediction of Player Decisions: Foundations of Feature Engineering for Optimized Behavior Modeling in Serious Games Technology, Knowledge, and Learning. 25: 225-250. DOI: 10.1007/S10758-018-9393-9 |
0.364 |
|
| 2019 |
Paquette L, Baker RS. Comparing machine learning to knowledge engineering for student behavior modeling: a case study in gaming the system Interactive Learning Environments. 27: 585-597. DOI: 10.1080/10494820.2019.1610450 |
0.442 |
|
| 2019 |
Slater S, Baker R. Forecasting Future Student Mastery. Distance Education. 40: 380-394. DOI: 10.1080/01587919.2019.1632169 |
0.343 |
|
| 2019 |
Molenaar I, Horvers A, Baker RS. What can moment-by-moment learning curves tell about students' self-regulated learning? Learning and Instruction. 101206. DOI: 10.1016/J.Learninstruc.2019.05.003 |
0.445 |
|
| 2019 |
Richey JE, Andres-Bray JML, Mogessie M, Scruggs R, Andres JM, Star JR, Baker RS, McLaren BM. More confusion and frustration, better learning: The impact of erroneous examples Computers & Education. 139: 173-190. DOI: 10.1016/J.Compedu.2019.05.012 |
0.457 |
|
| 2018 |
Jiang Y, Clarke-Midura J, Keller B, Baker RS, Paquette L, Ocumpaugh J. Note-taking and science inquiry in an open-ended learning environment. Contemporary Educational Psychology. 55: 12-29. PMID 30568321 DOI: 10.1016/J.Cedpsych.2018.08.004 |
0.477 |
|
| 2018 |
Reid JR, Baker RS. Designing and testing an educational innovation. Pediatric Radiology. 48: 1406-1409. PMID 30121792 DOI: 10.1007/S00247-018-4193-X |
0.334 |
|
| 2018 |
Wang Y, Baker R. Grit and Intention: Why Do Learners Complete MOOCs? The International Review of Research in Open and Distributed Learning. 19: 20-42. DOI: 10.19173/Irrodl.V19I3.3393 |
0.355 |
|
| 2018 |
Salmeron-Majadas S, Baker RS, Santos OC, Boticario JG. A Machine Learning Approach to Leverage Individual Keyboard and Mouse Interaction Behavior From Multiple Users in Real-World Learning Scenarios Ieee Access. 6: 39154-39179. DOI: 10.1109/Access.2018.2854966 |
0.364 |
|
| 2018 |
Slater S, Baker RS. Degree of error in Bayesian knowledge tracing estimates from differences in sample sizes Behaviormetrika. 45: 475-493. DOI: 10.1007/S41237-018-0072-X |
0.39 |
|
| 2017 |
Slater S, Joksimović S, Kovanovic V, Baker RS, Gasevic D. Tools for Educational Data Mining A Review Journal of Educational and Behavioral Statistics. 42: 85-106. DOI: 10.3102/1076998616666808 |
0.335 |
|
| 2017 |
Rowe E, Asbell-Clarke J, Baker RS, Eagle M, Hicks AG, Barnes TM, Brown RA, Edwards T. Assessing implicit science learning in digital games Computers in Human Behavior. 76: 617-630. DOI: 10.1016/J.Chb.2017.03.043 |
0.45 |
|
| 2017 |
Pedro MOCZS, Baker RS, Heffernan NT. An Integrated Look at Middle School Engagement and Learning in Digital Environments as Precursors to College Attendance. Technology, Knowledge, and Learning. 22: 243-270. DOI: 10.1007/S10758-017-9318-Z |
0.418 |
|
| 2016 |
Kovanovic V, Gaševic D, Dawson S, Joksimovic S, Baker RS, Hatala M. Does Time-on-task Estimation Matter? Implications on Validity of Learning Analytics Findings Journal of Learning Analytics. 2: 81-110. DOI: 10.18608/Jla.2015.23.6 |
0.45 |
|
| 2016 |
Bosch N, D'mello SK, Ocumpaugh J, Baker RS, Shute V. Using Video to Automatically Detect Learner Affect in Computer-Enabled Classrooms Ksii Transactions On Internet and Information Systems. 6: 17. DOI: 10.1145/2946837 |
0.418 |
|
| 2016 |
Baker RS, Clarke-Midura J, Ocumpaugh J. Towards general models of effective science inquiry in virtual performance assessments Journal of Computer Assisted Learning. 32: 267-280. DOI: 10.1111/Jcal.12128 |
0.443 |
|
| 2016 |
Godwin KE, Almeda MV, Seltman H, Kai S, Skerbetz MD, Baker RS, Fisher AV. Off-task behavior in elementary school children Learning and Instruction. 44: 128-143. DOI: 10.1016/J.Learninstruc.2016.04.003 |
0.353 |
|
| 2016 |
Baker RS. Stupid Tutoring Systems, Intelligent Humans International Journal of Artificial Intelligence in Education. 26: 600-614. DOI: 10.1007/s40593-016-0105-0 |
0.302 |
|
| 2016 |
Ocumpaugh J, Pedro MOS, Lai H, Baker RS, Borgen F. Erratum to: Middle School Engagement with Mathematics Software and Later Interest and Self-Efficacy for STEM Careers Journal of Science Education and Technology. 25: 877-887. DOI: 10.1007/S10956-016-9667-8 |
0.365 |
|
| 2015 |
Comer D, Baker R, Wang Y. Negativity in Massive Online Open Courses: Impacts on Learning and Teaching and How Instructional Teams May Be Able to Address It. Insight : a Journal of Scholarly Teaching. 10: 92-113. DOI: 10.46504/10201508Co |
0.467 |
|
| 2015 |
Mulqueeny K, Kostyuk V, Baker RS, Ocumpaugh J. Incorporating effective e-learning principles to improve student engagement in middle-school mathematics International Journal of Stem Education. 2: 15. DOI: 10.1186/S40594-015-0028-6 |
0.493 |
|
| 2015 |
Gobert JD, Baker RS, Wixon MB. Operationalizing and Detecting Disengagement Within Online Science Microworlds Educational Psychologist. 50: 43-57. DOI: 10.1080/00461520.2014.999919 |
0.459 |
|
| 2015 |
Shute VJ, D'Mello S, Baker R, Cho K, Bosch N, Ocumpaugh J, Ventura M, Almeda V. Modeling how incoming knowledge, persistence, affective states, and in-game progress influence student learning from an educational game Computers and Education. 86: 224-235. DOI: 10.1016/J.Compedu.2015.08.001 |
0.455 |
|
| 2014 |
Wang Y, Paquette L, Baker R. A Longitudinal Study on Learner Career Advancement in MOOCs Journal of Learning Analytics. 1: 203-206. DOI: 10.18608/Jla.2014.13.23 |
0.369 |
|
| 2014 |
Ocumpaugh J, Baker RS, Gowda SM, Heffernan NT, Heffernan C. Population Validity for Educational Data Mining Models: A Case Study in Affect Detection. British Journal of Educational Technology. 45: 487-501. DOI: 10.1111/Bjet.12156 |
0.398 |
|
| 2014 |
Baker RS. Educational data mining: An advance for intelligent systems in education Ieee Intelligent Systems. 29: 78-82. DOI: 10.1109/Mis.2014.42 |
0.413 |
|
| 2014 |
Miller WL, Baker RS, Rossi LM. Unifying Computer-Based Assessment Across Conceptual Instruction, Problem-Solving, and Digital Games Technology, Knowledge, and Learning. 19: 165-181. DOI: 10.1007/S10758-014-9225-5 |
0.455 |
|
| 2014 |
Berland M, Baker RS, Blikstein P. Educational Data Mining and Learning Analytics: Applications to Constructionist Research. Technology, Knowledge, and Learning. 19: 205-220. DOI: 10.1007/S10758-014-9223-7 |
0.388 |
|
| 2013 |
Gobert JD, Pedro MS, Raziuddin J, Baker RS. From Log Files to Assessment Metrics: Measuring Students' Science Inquiry Skills Using Educational Data Mining The Journal of the Learning Sciences. 22: 521-563. DOI: 10.1080/10508406.2013.837391 |
0.449 |
|
| 2013 |
Baker RS, Hershkovitz A, Rossi LM, Goldstein AB, Gowda SM. Predicting Robust Learning With the Visual Form of the Moment-by-Moment Learning Curve Journal of the Learning Sciences. 22: 639-666. DOI: 10.1080/10508406.2013.836653 |
0.448 |
|
| 2013 |
Pedro MAS, Baker RS, Gobert JD, Montalvo O, Nakama A. Leveraging machine-learned detectors of systematic inquiry behavior to estimate and predict transfer of inquiry skill User Modeling and User-Adapted Interaction. 23: 1-39. DOI: 10.1007/S11257-011-9101-0 |
0.457 |
|
| 2012 |
Desmarais MC, Baker RS. A review of recent advances in learner and skill modeling in intelligent learning environments User Modeling and User-Adapted Interaction. 22: 9-38. DOI: 10.1007/S11257-011-9106-8 |
0.405 |
|
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