Michelle Taub
- Developmental and Educational Psychology top 2%
- Computer Science Applications top 0.5%
- Education top 5%
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Roger AzevedoFrançois BouchetNicholas V. MudrickRobert G. SawyerJonathan RoweJames LesterJames C. LesterBabak Khosravifar
- Topics
- Innovative Teaching and Learning Methods (30 papers)Intelligent Tutoring Systems and Adaptive Learning (18 papers)Online Learning and Analytics (17 papers)
- Cited by
- Computer Science ApplicationsDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Michelle Taub
41 papers receiving 897 citations
Peers
Comparison fields: 5 of 80
- Developmental and Educational Psychology 590
- Computer Science Applications 389
- Education 301
- Artificial Intelligence 265
- Experimental and Cognitive Psychology 143
Countries citing papers authored by Michelle Taub
This map shows the geographic impact of Michelle Taub'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 Michelle Taub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Taub more than expected).
Fields of papers citing papers by Michelle Taub
This network shows the impact of papers produced by Michelle Taub. 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 Michelle Taub. The network helps show where Michelle Taub may publish in the future.
Co-authorship network of co-authors of Michelle Taub
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Taub. A scholar is included among the top collaborators of Michelle Taub 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 Michelle Taub. Michelle Taub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | 86 | |
| 9 | Student Subtyping via EM-Inverse Reinforcement Learning. | 2 |
| 10 | 3 | |
| 11 | 39 | |
| 12 | 32 | |
| 13 | 70 | |
| 14 | 56 | |
| 15 | On the Influence on Learning of Student Compliance with Prompts Fostering Self-Regulated Learning. | 4 |
| 16 | The Effects of Autonomy on Emotions and Learning in Game-Based Learning Environments. | 7 |
| 17 | 22 | |
| 18 | 7 | |
| 19 | Adaptive Multi-Agent Architecture to Track Students' Self-Regulated Learning. | 0 |
| 20 | The Effectiveness of Pedagogical Agents’ Prompting and Feedback in Facilitating Co-adapted Learning with MetaTutor | 8 |
About Michelle Taub
Michelle Taub is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence, having authored 44 papers that have together received 934 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (30 papers), Intelligent Tutoring Systems and Adaptive Learning (18 papers) and Online Learning and Analytics (17 papers). The work is most often cited by research in Computer Science Applications (389 citations), Developmental and Educational Psychology (590 citations) and Experimental and Cognitive Psychology (143 citations). Michelle Taub has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Roger Azevedo, François Bouchet, Nicholas V. Mudrick, Robert G. Sawyer, Jonathan Rowe, James Lester, James C. Lester, Babak Khosravifar, Andy Smith and Elizabeth B. Cloude. Their work appears in journals such as Journal of Educational Psychology, Computers in Human Behavior and Computers & Education.
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.