Ido Roll

6.2k total citations · 3 hit papers
60 papers, 3.1k citations indexed

About

Ido Roll is a scholar working on Developmental and Educational Psychology, Education and Computer Science Applications. According to data from OpenAlex, Ido Roll has authored 60 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Developmental and Educational Psychology, 31 papers in Education and 25 papers in Computer Science Applications. Recurrent topics in Ido Roll's work include Innovative Teaching and Learning Methods (31 papers), Online Learning and Analytics (22 papers) and Intelligent Tutoring Systems and Adaptive Learning (21 papers). Ido Roll is often cited by papers focused on Innovative Teaching and Learning Methods (31 papers), Online Learning and Analytics (22 papers) and Intelligent Tutoring Systems and Adaptive Learning (21 papers). Ido Roll collaborates with scholars based in Canada, United States and Israel. Ido Roll's co-authors include Kenneth R. Koedinger, Ruth Wylie, Vincent Aleven, Bruce M. McLaren, Kyoungwon Seo, Sidney Fels, Ryan S. Baker, Dongwook Yoon, Philip H. Winne and Albert T. Corbett and has published in prestigious journals such as Computers in Human Behavior, Computers & Education and Educational Psychologist.

In The Last Decade

Ido Roll

57 papers receiving 2.8k citations

Hit Papers

Evolution and Revolution in Artificial Intelligence in Ed... 2016 2026 2019 2022 2016 2021 2023 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ido Roll Canada 25 1.4k 1.4k 1.2k 1.0k 352 60 3.1k
Bruce M. McLaren United States 28 1.1k 0.8× 1.4k 1.0× 1.2k 1.0× 681 0.7× 326 0.9× 95 2.6k
Morris Siu–Yung Jong Hong Kong 34 1.2k 0.9× 1.1k 0.8× 608 0.5× 1.5k 1.5× 925 2.6× 139 4.0k
Mutlu Cukurova United Kingdom 25 1.2k 0.9× 673 0.5× 718 0.6× 650 0.6× 494 1.4× 79 2.6k
René F. Kizilcec United States 27 2.4k 1.7× 988 0.7× 783 0.7× 1.8k 1.7× 524 1.5× 92 4.3k
Daniel T. Hickey United States 23 649 0.5× 1.2k 0.9× 543 0.5× 1.3k 1.3× 262 0.7× 84 3.0k
Inge Molenaar Netherlands 25 931 0.7× 1.3k 0.9× 431 0.4× 882 0.9× 195 0.6× 94 2.1k
Srécko Joksimovíc Australia 33 2.3k 1.7× 1.1k 0.8× 664 0.6× 1.7k 1.7× 405 1.2× 98 3.5k
Rosemary Luckin United Kingdom 26 975 0.7× 787 0.6× 561 0.5× 1.0k 1.0× 853 2.4× 94 3.1k
Luke K. Fryer Hong Kong 26 494 0.4× 628 0.5× 941 0.8× 895 0.9× 349 1.0× 93 2.6k
John C. Nesbit Canada 25 1.1k 0.8× 1.6k 1.2× 690 0.6× 1.5k 1.5× 412 1.2× 70 3.4k

Countries citing papers authored by Ido Roll

Since Specialization
Citations

This map shows the geographic impact of Ido Roll's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ido Roll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ido Roll more than expected).

Fields of papers citing papers by Ido Roll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ido Roll. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ido Roll. The network helps show where Ido Roll may publish in the future.

Co-authorship network of co-authors of Ido Roll

This figure shows the co-authorship network connecting the top 25 collaborators of Ido Roll. A scholar is included among the top collaborators of Ido Roll based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ido Roll. Ido Roll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
3.
Roll, Ido, et al.. (2025). Different Topics, Similar Patterns: The Consistency of Learners and Learning Across Interactive STEM Simulations. International Journal of Artificial Intelligence in Education. 35(6). 3668–3695.
4.
Rosenberg‐Kima, Rinat B., et al.. (2025). Active learning and the development of 21st century skills in online STEM education – a large scale survey. Online Learning. 29(1). 1 indexed citations
5.
Jin, Sung-Hee, et al.. (2023). Supporting students’ self-regulated learning in online learning using artificial intelligence applications. International Journal of Educational Technology in Higher Education. 20(1). 109 indexed citations breakdown →
6.
Harris, Sara, et al.. (2023). Choice-based Personalization in MOOCs: Impact on Activity and Perceived Value. International Journal of Artificial Intelligence in Education. 34(2). 376–394. 1 indexed citations
7.
Smith, Karen, et al.. (2019). DIY productive failure: boosting performance in a large undergraduate biology course. npj Science of Learning. 4(1). 1–1. 30 indexed citations
8.
Roll, Ido, Daniel M. Russell, & Dragan Gašević. (2018). Learning at Scale. International Journal of Artificial Intelligence in Education. 28(4). 471–477. 25 indexed citations
9.
Zhang, Xueqin, et al.. (2018). ViDeX. cIRcle (University of British Columbia). 331–332. 9 indexed citations
10.
Conati, Cristina, et al.. (2017). Applying a Framework for Student Modeling in Exploratory Learning Environments: Comparing Data Representation Granularity to Handle Environment Complexity. International Journal of Artificial Intelligence in Education. 27(2). 320–352. 22 indexed citations
11.
Aleven, Vincent, Ido Roll, Bruce M. McLaren, & Kenneth R. Koedinger. (2016). Help Helps, But Only So Much: Research on Help Seeking with Intelligent Tutoring Systems. International Journal of Artificial Intelligence in Education. 26(1). 205–223. 132 indexed citations
12.
Roll, Ido & Ruth Wylie. (2016). Evolution and Revolution in Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education. 26(2). 582–599. 485 indexed citations breakdown →
13.
Barker, Megan, et al.. (2016). Active learning in pre-class assignments: Exploring the use of interactive simulations to enhance reading assignments. The Physics Video Demonstration Database (Cornell University). 332–335. 5 indexed citations
14.
Day, James, N. G. Holmes, Ido Roll, & D. A. Bonn. (2014). Finding Evidence of Transfer with Invention Activities: Teaching the Concept of Weighted Average. The Physics Video Demonstration Database (Cornell University). 117–120. 1 indexed citations
15.
Roll, Ido, Vincent Aleven, & Kenneth R. Koedinger. (2011). Outcomes and Mechanisms of Transfer in Invention Activities. Cognitive Science. 33(33). 27 indexed citations
16.
Roll, Ido. (2009). Structured Invention Tasks to Prepare Students for Future Learning: Means, Mechanisms, and Cognitive Processes. 6 indexed citations
17.
Roll, Ido, Vincent Aleven, & Kenneth R. Koedinger. (2009). Helping students know'further'-increasing the flexibility of students' knowledge using symbolic invention tasks. Proceedings of the Annual Meeting of the Cognitive Science Society. 31(31). 32 indexed citations
18.
Baker, Ryan S., Jason Walonoski, Neil T. Heffernan, et al.. (2008). Why Students Engage in “Gaming the System” Behavior in Interactive Learning Environments. The Journal of Interactive Learning Research. 19(2). 185–224. 165 indexed citations
19.
Baker, Ryan S., Alexandra J. Corbett, Kenneth R. Koedinger, & Ido Roll. (2005). Detecting when students game the system, across tutor subjects and classroom cohorts. 9 indexed citations
20.
Roll, Ido, Ryan S. Baker, Vincent Aleven, & Kenneth R. Koedinger. (2004). What Goals Do Students Have When Choosing the Actions They Perform. 380–381. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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