| Year |
Citation |
Score |
| 2023 |
Kapur M, Saba J, Roll I. Prior math achievement and inventive production predict learning from productive failure. Npj Science of Learning. 8: 15. PMID 37188689 DOI: 10.1038/s41539-023-00165-y |
0.532 |
|
| 2021 |
Seo K, Tang J, Roll I, Fels S, Yoon D. The impact of artificial intelligence on learner-instructor interaction in online learning. International Journal of Educational Technology in Higher Education. 18: 54. PMID 34778540 DOI: 10.1186/s41239-021-00292-9 |
0.529 |
|
| 2018 |
Roll I, Butler D, Yee N, Welsh A, Perez S, Briseno A, Perkins K, Bonn D. Understanding the Impact of Guiding Inquiry: The Relationship between Directive Support, Student Attributes, and Transfer of Knowledge, Attitudes, and Behaviours in Inquiry Learning. Instructional Science. 46: 77-104. DOI: 10.1007/S11251-017-9437-X |
0.499 |
|
| 2016 |
Roll I, Wylie R. Evolution and Revolution in Artificial Intelligence in Education International Journal of Artificial Intelligence in Education. 26: 582-599. DOI: 10.1007/s40593-016-0110-3 |
0.574 |
|
| 2016 |
Aleven V, Roll I, McLaren BM, Koedinger KR. Help Helps, but only so Much: Research on Help Seeking with Intelligent Tutoring Systems International Journal of Artificial Intelligence in Education. 26: 205-223. DOI: 10.1007/s40593-015-0089-1 |
0.744 |
|
| 2016 |
Loibl K, Roll I, Rummel N. Towards a Theory of When and How Problem Solving Followed by Instruction Supports Learning Educational Psychology Review. 1-23. DOI: 10.1007/S10648-016-9379-X |
0.477 |
|
| 2016 |
Aleven V, Haywood J, Kay J, Roll I. Learning at scale 2016 preface L@S 2016 - Proceedings of the 3rd 2016 Acm Conference On Learning At Scale. iii-iv. |
0.328 |
|
| 2015 |
Roll I, Winne PH. Understanding, evaluating, and supporting self-regulated learning using learning analytics Journal of Learning Analytics. 2: 7-12. DOI: 10.18608/Jla.2015.21.2 |
0.512 |
|
| 2015 |
Roll I, Macfadyen LP, Sandilands D. Evaluating the relationship between course structure, learner activity, and perceived value of online courses L@S 2015 - 2nd Acm Conference On Learning At Scale. 385-388. DOI: 10.1145/2724660.2728699 |
0.45 |
|
| 2015 |
Conati C, Fratamico L, Kardan S, Roll I. Comparing representations for learner models in interactive simulations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9112: 74-83. DOI: 10.1007/978-3-319-19773-9_8 |
0.42 |
|
| 2014 |
Stang JB, Roll I. Interactions between teaching assistants and students boost engagement in physics labs Physical Review Special Topics - Physics Education Research. 10. DOI: 10.1103/Physrevstper.10.020117 |
0.621 |
|
| 2014 |
Roll I, Baker RSJd, Aleven V, Koedinger KR. On the Benefits of Seeking (and Avoiding) Help in Online Problem-Solving Environments Journal of the Learning Sciences. 23: 537-560. DOI: 10.1080/10508406.2014.883977 |
0.727 |
|
| 2014 |
Roll I, Yee N, Briseno A. Students' adaptation and transfer of strategies across levels of scaffolding in an exploratory environment Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8474: 348-353. DOI: 10.1007/978-3-319-07221-0_43 |
0.551 |
|
| 2014 |
Kardan S, Roll I, Conati C. The usefulness of log based clustering in a complex simulation environment Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8474: 168-177. DOI: 10.1007/978-3-319-07221-0_21 |
0.414 |
|
| 2014 |
Goldberg B, Sottilare R, Roll I, Lajoie S, Poitras E, Biswas G, Segedy JR, Kinnebrew JS, Wiese ES, Long Y, Aleven V, Koedinger KR, Winne P. Enhancing self-regulated learning through metacognitively-aware intelligent tutoring systems Proceedings of International Conference of the Learning Sciences, Icls. 3: 1352-1361. |
0.604 |
|
| 2014 |
Roll I, Briseno A, Yee N, Welsh A. Not a magic bullet: The effect of scaffolding on knowledge and attitudes in online simulations Proceedings of International Conference of the Learning Sciences, Icls. 2: 879-886. |
0.499 |
|
| 2013 |
Holmes NG, Day J, Park AHK, Bonn DA, Roll I. Making the failure more productive: scaffolding the invention process to improve inquiry behaviors and outcomes in invention activities Instructional Science. 1-16. DOI: 10.1007/S11251-013-9300-7 |
0.619 |
|
| 2013 |
Roll I, Holmes NG, Day J, Park AHK, Bonn DA. Process and outcome benefits for orienting students to analyze and reflect on available data in productive failure activities Ceur Workshop Proceedings. 1009: 61-68. |
0.307 |
|
| 2012 |
Koedinger KR, Roll I. Learning to Think: Cognitive Mechanisms of Knowledge Transfer The Oxford Handbook of Thinking and Reasoning. DOI: 10.1093/oxfordhb/9780199734689.013.0040 |
0.581 |
|
| 2012 |
Aleven V, Roll I, Koedinger KR. Progress in assessment and tutoring of lifelong learning skills: An intelligent tutor agent that helps students become better help seekers Adaptive Technologies For Training and Education. 69-95. DOI: 10.1017/CBO9781139049580.008 |
0.705 |
|
| 2012 |
Roll I, Holmes NG, Day J, Bonn D. Evaluating metacognitive scaffolding in Guided Invention Activities Instructional Science. 40: 691-710. DOI: 10.1007/S11251-012-9208-7 |
0.588 |
|
| 2012 |
Roll I, Aleven V, Koedinger KR, Berland M, Martin T, Benton T, Petrick C, Hershkovitz A, Wixon M, Baker R, Gobert J, Pedro MS, Sherin B, Blikstein P, Worsley M, et al. Building (Timely) bridges between learning analytics, educational data mining and core learning sciences perspectives 10th International Conference of the Learning Sciences: the Future of Learning, Icls 2012 - Proceedings. 2: 134-141. |
0.602 |
|
| 2011 |
Roll I, Aleven V, McLaren BM, Koedinger KR. Improving students' help-seeking skills using metacognitive feedback in an intelligent tutoring system Learning and Instruction. 21: 267-280. DOI: 10.1016/J.Learninstruc.2010.07.004 |
0.745 |
|
| 2011 |
Roll I, Aleven V, McLaren BM, Koedinger KR. Metacognitive practice makes perfect: Improving students' self-assessment skills with an intelligent tutoring system Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6738: 288-295. DOI: 10.1007/978-3-642-21869-9_38 |
0.71 |
|
| 2010 |
Aleven V, Roll I, McLaren BM, Koedinger KR. Automated, unobtrusive, action-by-action assessment of self-regulation during learning with an intelligent tutoring system Educational Psychologist. 45: 224-233. DOI: 10.1080/00461520.2010.517740 |
0.704 |
|
| 2010 |
Roll I, Aleven V, Koedinger KR. The invention Lab: Using a hybrid of model tracing and constraint-based modeling to offer intelligent support in inquiry environments Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6094: 115-124. DOI: 10.1007/978-3-642-13388-6_16 |
0.662 |
|
| 2010 |
Baker RSJD, Gobert JD, Van Joolingen W, Azevedo R, Roll I, São Pedro M, Raziuddin J, Krach N, De Carvalho AMJB, Raspat J, Aleven V, Corbett AT, Koedinger KR, Cocea M, Hershkovitz A, et al. Qualitative, quantitative, and data mining methods for analyzing log data to characterize students' learning strategies and behaviors Learning in the Disciplines: Icls 2010 Conference Proceedings - 9th International Conference of the Learning Sciences. 2: 45-52. |
0.669 |
|
| 2008 |
Baker RSJD, Corbett AT, Roll I, Koedinger KR. Developing a generalizable detector of when students game the system User Modeling and User-Adapted Interaction. 18: 287-314. DOI: 10.1007/S11257-007-9045-6 |
0.74 |
|
| 2008 |
Baker R, Walonoski J, Heffernan N, Roll I, Corbett A, Koedinger K. Why students engage in "gaming the system" behavior in interactive learning environments Journal of Interactive Learning Research. 19: 185-224. |
0.543 |
|
| 2007 |
Roll I, Aleven V, McLaren BM, Koedinger KR. Designing for metacognition-applying cognitive tutor principles to the tutoring of help seeking Metacognition and Learning. 2: 125-140. DOI: 10.1007/S11409-007-9010-0 |
0.698 |
|
| 2006 |
Roll I, Ryu E, Sewall J, Leber B, McLaren BM, Aleven V, Koedinger KR. Towards teaching metacognition: Supporting spontaneous self-assessment Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4053: 738-740. DOI: 10.1007/11774303_85 |
0.662 |
|
| 2006 |
Baker RSJD, Corbett AT, Koedinger KR, Roll I. Generalizing detection of gaming the system across a tutoring curriculum Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4053: 402-411. DOI: 10.1007/11774303_40 |
0.51 |
|
| 2006 |
Roll I, Aleven V, McLaren BM, Ryu E, Baker RSJD, Koedinger KR. The help tutor: Does metacognitive feedback improve students' help-seeking actions, skills and learning? Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4053: 360-369. DOI: 10.1007/11774303_36 |
0.747 |
|
| 2006 |
Baker RSJD, Corbett AT, Koedinger KR, Evenson S, Roll I, Wagner AZ, Naim M, Raspat J, Baker DJ, Beck JE. Adapting to when students game an intelligent tutoring system Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4053: 392-401. |
0.67 |
|
| 2005 |
Roll I, Baker RS, Aleven V, McLaren BM, Koedinger KR. Modeling students' metacognitive errors in two intelligent tutoring systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3538: 367-376. |
0.614 |
|
| 2005 |
Baker RS, Corbett AT, Koedinger KR, Roll I. Detecting when students game the system, across tutor subjects and classroom cohorts Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3538: 220-224. |
0.642 |
|
| 2004 |
Aleven V, McLaren B, Roll I, Koedinger K. Toward Tutoring Help Seeking Applying Cognitive Modeling to Meta-cognitive Skills Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3220: 227-239. |
0.518 |
|
| 2004 |
Roll I, Baker RS, Aleven V, Koedinger KR. A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3220: 854-856. |
0.739 |
|
| Show low-probability matches. |