Dovan Rai
Impact in
-
- Online Learning and Analytics
- Teaching and Learning Programming
- E-Learning and Knowledge Management
-
- Innovative Teaching and Learning Methods
- Educational Games and Gamification
Papers in
-
- Intelligent Tutoring Systems and Adaptive Learning 14
- Machine Learning and Algorithms 1
-
- Educational Games and Gamification 8
- Innovative Teaching and Learning Methods 7
- Co-authors
- Ivon Arroyo (5 shared papers)Beverly Park Woolf (5 shared papers)Kasia Müldner (4 shared papers)Joseph E. Beck (12 shared papers)Minghui Tai (2 shared papers)Yue Gong (2 shared papers)Winslow Burleson (4 shared papers)Michael Wixon (2 shared papers)
- Journals
- International Journal of Artificial Intelligence in Education (2 papers)Lecture notes in computer science (9 papers)International Journal of Game-Based Learning (1 paper)Educational Data Mining (5 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Dovan Rai
16 papers receiving 314 citations
Peers
Comparison fields: 5 of 47
- Computer Science Applications 212
- Developmental and Educational Psychology 158
- Artificial Intelligence 203
- Experimental and Cognitive Psychology 38
- Education 61
Countries citing papers authored by Dovan Rai
This map shows the geographic impact of Dovan Rai'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 Dovan Rai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dovan Rai more than expected).
Fields of papers citing papers by Dovan Rai
This network shows the impact of papers produced by Dovan Rai. 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 Dovan Rai. The network helps show where Dovan Rai may publish in the future.
Co-authors
The 9 scholars most cited alongside Dovan Rai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 196 | |
| 2 | 2015 | 34 | |
| 3 | Does Self-Discipline impact students' knowledge and learning? | 2009 | 23 |
| 4 | Using Dirichlet Priors to Improve Model Parameter Plausibility. | 2009 | 20 |
| 5 | The Opportunities and Limitations of Scaling Up Sensor-Free Affect Detection | 2014 | 19 |
| 6 | 2012 | 17 | |
| 7 | Exploring User Data From a Game-like Math Tutor: A Case Study in Causal Modeling. | 2011 | 10 |
| 8 | 2012 | 8 | |
| 9 | 2013 | 5 | |
| 10 | 2018 | 4 | |
| 11 | Analysis of a causal modeling approach: a case study with an educational intervention. | 2010 | 3 |
| 12 | 2010 | 2 | |
| 13 | 2011 | 2 | |
| 14 | 2010 | 2 | |
| 15 | 2010 | 1 | |
| 16 | 2013 | 1 | |
| 17 | 2011 | 0 |
About Dovan Rai
Dovan Rai is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Computer Science Applications, Experimental and Cognitive Psychology and Automotive Engineering, having authored 17 papers that have together received 347 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (14 papers), Educational Games and Gamification (8 papers), Innovative Teaching and Learning Methods (7 papers), Online Learning and Analytics (5 papers), Teaching and Learning Programming (3 papers), Machine Learning and Algorithms (1 paper), Video Analysis and Summarization (1 paper) and Spatial Cognition and Navigation (1 paper). The work is most often cited by research in Computer Science Applications (212 citations), Developmental and Educational Psychology (158 citations), Artificial Intelligence (203 citations), Experimental and Cognitive Psychology (38 citations) and Education (61 citations). Dovan Rai has collaborated with scholars based in United States and Canada. Frequent co-authors include Ivon Arroyo, Beverly Park Woolf, Kasia Müldner, Joseph E. Beck, Minghui Tai, Yue Gong, Winslow Burleson, Michael Wixon and Neil T. Heffernan. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Lecture notes in computer science, International Journal of Game-Based Learning and Educational Data Mining.
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.