Keith Brawner

623 citations
21 papers · 206 · h-index 7

Impact in

Papers in

    • Intelligent Tutoring Systems and Adaptive Learning 17
    • AI-based Problem Solving and Planning 5
    • Topic Modeling 1
    • Data Stream Mining Techniques 1
    • Online Learning and Analytics 6
    • Teaching and Learning Programming 3

Keith Brawner

19 papers receiving 195 citations

Peers

Keith Brawner
Comparison fields: 5 of 57
  • Computer Science Applications 72
  • Developmental and Educational Psychology 87
  • Artificial Intelligence 114
  • Human-Computer Interaction 14
  • Computational Mathematics 1
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Citations per year

Countries citing papers authored by Keith Brawner

Since Specialization
Citations

This map shows the geographic impact of Keith Brawner'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 Keith Brawner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Brawner more than expected).

Fields of papers citing papers by Keith Brawner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith Brawner. 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 Keith Brawner. The network helps show where Keith Brawner may publish in the future.

Co-authors

The 23 scholars most cited alongside Keith Brawner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Keith Brawner Line = papers co-authored together Keith Brawner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201768
2 201250
3
Sensor-Free or Sensor-Full: A Comparison of Data Modalities in Multi-Channel Affect Detection.
201517
4 201915
5
Challenges and Emerging Concepts in the Development of Adaptive, Computer-based Tutoring Systems for Team Training
201110
6 20159
7 20127
8 20184
9 20164
10 20124
11
Modeling Learner Mood In Realtime Through Biosensors For Intelligent Tutoring Improvements
20133
12 20113
13
Rapid Dialogue and Branching Tutors.
20152
14
Using Data Mining to Automate ADDIE.
20142
15 20232
16
Steps Towards Adaptive Psychomotor Instruction
20142
17
Data Sharing: Low-Cost Sensors for Affect and Cognition
20141
18 20221
19
An Evaluation of the Generalized Intelligent Framework for Tutoring (GIFT) from an Author's Perspective
20141
20
Lessons Learned Creating a Team Tutoring Architecture: Design Reconsiderations
20181

About Keith Brawner

Keith Brawner is a scholar working on Artificial Intelligence, Computer Science Applications, Developmental and Educational Psychology, Experimental and Cognitive Psychology and Social Psychology, having authored 21 papers that have together received 206 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (17 papers), Innovative Teaching and Learning Methods (6 papers), Online Learning and Analytics (6 papers), AI-based Problem Solving and Planning (5 papers), Teaching and Learning Programming (3 papers), Educational Games and Gamification (1 paper), Topic Modeling (1 paper) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Computer Science Applications (72 citations), Developmental and Educational Psychology (87 citations), Artificial Intelligence (114 citations), Human-Computer Interaction (14 citations) and Computational Mathematics (1 citation). Keith Brawner has collaborated with scholars based in United States, New Zealand and Puerto Rico. Frequent co-authors include Robert A. Sottilare, Heather K. Holden, Jonathan Rowe, James C. Lester, Ryan S. Baker, Benjamin Goldberg, Luc Paquette, Bradford Mott, Alexander Zook and Stephen Lee-Urban. Their work appears in journals such as IEEE Transactions on Learning Technologies, International Journal of Artificial Intelligence in Education, AI Magazine, Theoretical Issues in Ergonomics Science and Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

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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