Kay G. Schulze
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- Teaching and Learning Programming 7
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- Innovative Teaching and Learning Methods 3
- Artificial Intelligence top 5%
- Intelligent Tutoring Systems and Adaptive Learning 9
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- Software Engineering Techniques and Practices 3
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- Ethics and Social Impacts of AI 3
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- Experimental Learning in Engineering 3
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- Ethics in Business and Education 2
- Scientific Computing and Data Management 2
- Co-authors
- Kurt VanLehnAnders WeinsteinM. C. WintersgillRobert ShelbyCollin LynchD.J. TreacyJoel A. ShapiroFrances S. Grodzinsky
- Cited by
- Computer Science ApplicationsDevelopmental and Educational PsychologyArtificial Intelligence
- Journals
- International Journal of Artificial Intelligence in Education (1 paper)Military Psychology (1 paper)Journal of Electronic Publishing (2 papers)
- Partner nations
- United States
In The Last Decade
Kay G. Schulze
17 papers receiving 462 citations
Peers
Comparison fields: 5 of 53
- Computer Science Applications 227
- Developmental and Educational Psychology 261
- Artificial Intelligence 401
- Architecture 5
- Experimental and Cognitive Psychology 41
Countries citing papers authored by Kay G. Schulze
This map shows the geographic impact of Kay G. Schulze'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 Kay G. Schulze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay G. Schulze more than expected).
Fields of papers citing papers by Kay G. Schulze
This network shows the impact of papers produced by Kay G. Schulze. 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 Kay G. Schulze. The network helps show where Kay G. Schulze may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Kay G. Schulze, 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 | 2005 | 1 | |
| 2 | 2005 | 326 | |
| 3 | The Andes Physics Tutoring System: Five Years of Evaluations | 2005 | 65 |
| 4 | Interactive Conceptual Tutoring in Atlas-Andes | 2002 | 62 |
| 5 | 2002 | 8 | |
| 6 | 2001 | 9 | |
| 7 | An intelligent tutor for classical physics | 2000 | 3 |
| 8 | 2000 | 27 | |
| 9 | 1997 | 3 | |
| 10 | 1997 | 3 | |
| 11 | 1996 | 7 | |
| 12 | 1996 | 16 | |
| 13 | 1995 | 7 | |
| 14 | 1995 | 1 | |
| 15 | 1991 | 2 | |
| 16 | 1990 | 2 | |
| 17 | Preceptor: a tutor for transforming algebraic word problems into abstract algebraic equations | 1988 | 1 |
About Kay G. Schulze
Kay G. Schulze is a scholar working on Computer Science Applications, Information Systems and Management and Safety Research, having authored 17 papers that have together received 543 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (9 papers), Teaching and Learning Programming (7 papers), Innovative Teaching and Learning Methods (3 papers), Software Engineering Techniques and Practices (3 papers), Ethics and Social Impacts of AI (3 papers), Experimental Learning in Engineering (3 papers), Ethics in Business and Education (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Computer Science Applications (227 citations), Developmental and Educational Psychology (261 citations) and Artificial Intelligence (401 citations). Kay G. Schulze has collaborated with scholars based in United States. Frequent co-authors include Kurt VanLehn, Anders Weinstein, M. C. Wintersgill, Robert Shelby, Collin Lynch, D.J. Treacy, Joel A. Shapiro, Frances S. Grodzinsky, Pamela Jordan and Stephanie Siler. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Military Psychology, Journal of Electronic Publishing, Bulletin of the Psychonomic Society and The Physics Video Demonstration Database (Cornell University).
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.