Michael Wixon
Impact in
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- Online Learning and Analytics
- E-Learning and Knowledge Management
- Teaching and Learning Programming
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- Innovative Teaching and Learning Methods
- Educational Games and Gamification
Papers in
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- Online Learning and Analytics 4
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- Innovative Teaching and Learning Methods 5
- Co-authors
- Ryan S. BakerJanice D. GobertSujith M. GowdaVincent AlevenLisa M. RossiJaclyn OcumpaughAngela Z. WagnerArnon Hershkovitz
- Journals
- Educational Psychologist (1 paper)American Behavioral Scientist (1 paper)Educational Data Mining (4 papers)Digital WPI (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Wixon
7 papers receiving 218 citations
Peers
Comparison fields: 5 of 37
- Computer Science Applications 159
- Developmental and Educational Psychology 116
- Artificial Intelligence 141
- Experimental and Cognitive Psychology 38
- Education 62
Countries citing papers authored by Michael Wixon
This map shows the geographic impact of Michael Wixon'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 Michael Wixon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wixon more than expected).
Fields of papers citing papers by Michael Wixon
This network shows the impact of papers produced by Michael Wixon. 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 Michael Wixon. The network helps show where Michael Wixon may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Michael Wixon, 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 | 2015 | 67 | |
| 2 | The Opportunities and Limitations of Scaling Up Sensor-Free Affect Detection | 2014 | 15 |
| 3 | 2013 | 37 | |
| 4 | Detecting students who are conducting inquiry Without Thinking Fastidiously (WTF) in the Context of Microworld Learning Environments | 2013 | 2 |
| 5 | Towards Sensor-Free Affect Detection in Cognitive Tutor Algebra. | 2012 | 101 |
| 6 | Sensor-free automated detection of affect in a Cognitive Tutor for Algebra. | 2012 | 23 |
| 7 | Goal orientation and changes of carelessness over consecutive trials in science inquiry | 2011 | 2 |
About Michael Wixon
Michael Wixon is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Artificial Intelligence, Experimental and Cognitive Psychology and Infectious Diseases, having authored 7 papers that have together received 247 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (7 papers), Innovative Teaching and Learning Methods (5 papers), Online Learning and Analytics (4 papers), Visual and Cognitive Learning Processes (1 paper), Emotion and Mood Recognition (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Computer Science Applications (159 citations), Developmental and Educational Psychology (116 citations), Artificial Intelligence (141 citations), Experimental and Cognitive Psychology (38 citations) and Education (62 citations). Michael Wixon has collaborated with scholars based in United States. Frequent co-authors include Ryan S. Baker, Janice D. Gobert, Sujith M. Gowda, Vincent Aleven, Lisa M. Rossi, Jaclyn Ocumpaugh, Angela Z. Wagner, Arnon Hershkovitz, Dovan Rai and Winslow Burleson. Their work appears in journals such as Educational Psychologist, American Behavioral Scientist, Educational Data Mining and Digital WPI.
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.