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D-Index & Metrics

Computer Science

D-Index
75
Citations
26326
World Ranking
1398
National Ranking
726

Overview

Ryan S. Baker is affiliated with the University of Pennsylvania in the United States. Their research spans multiple areas at the intersection of computer science and psychology, focusing extensively on educational technologies and learning analytics.

The main fields of study for Ryan S. Baker include Computer Science and Psychology, with notable subfields such as Computer Science Applications, Artificial Intelligence, Developmental and Educational Psychology, Education, and Experimental and Cognitive Psychology.

Their research topics cover varied aspects related to educational data and learning processes. Key topics include:

  • Online Learning and Analytics
  • Intelligent Tutoring Systems and Adaptive Learning
  • Innovative Teaching and Learning Methods
  • Educational Games and Gamification
  • Teaching and Learning Programming
  • Online and Blended Learning
  • Topic Modeling

Ryan S. Baker has contributed to a range of academic venues, frequently publishing in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • International Journal of Artificial Intelligence in Education
  • Journal of Learning Analytics
  • Proceedings.

Among recent papers authored or co-authored by Ryan S. Baker are:

  • "Algorithmic Bias in Education," 2021, International Journal of Artificial Intelligence in Education
  • "Mining Big Data in Education: Affordances and Challenges," 2020, Review of Research in Education (note: authored by Christian Fischer)
  • "Cultural bias and cultural alignment of large language models," 2024, PNAS Nexus (note: authored by Yan Tao)
  • "The development of students' computational thinking practices in elementary- and middle-school classes using the learning game, Zoombinis," 2020, Computers in Human Behavior (note: authored by Jodi Asbell-Clarke)
  • "Assessing implicit computational thinking in Zoombinis puzzle gameplay," 2021, Computers in Human Behavior (note: authored by Elizabeth Rowe)

Ryan S. Baker has frequently collaborated with several co-authors, including:

  • Jaclyn Ocumpaugh
  • Stephen Hutt
  • Amanda Barany
  • Andres Felipe Zambrano
  • Xiner Liu

Best Publications

  • The State of Educational Data Mining in 2009: A Review and Future Visions

    Ryan S.J.d. Baker;Kalina Yacef

  • Learning analytics and educational data mining: towards communication and collaboration

    George Siemens;Ryan S. J. d. Baker

  • Educational Data Mining and Learning Analytics

    Ryan Shaun Baker;Paul Salvador Inventado;Paul Salvador Inventado

  • Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive-affective states during interactions with three different computer-based learning environments

    Ryan S. J. d. Baker;Sidney K. D'Mello;Ma.Mercedes T. Rodrigo;Arthur C. Graesser

  • Off-task behavior in the cognitive tutor classroom: when students "game the system"

    Ryan Shaun Baker;Albert T. Corbett;Kenneth R. Koedinger;Angela Z. Wagner

  • Handbook of Educational Data Mining

    Cristobal Romero;Sebastian Ventura;Mykola Pechenizkiy;Ryan S.J.d. Baker

  • A review of recent advances in learner and skill modeling in intelligent learning environments

    Michel C. Desmarais;Ryan S. Baker

  • More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing

    Ryan S. Baker;Albert T. Corbett;Vincent Aleven

  • A Data Repository for the EDM Community: The PSLC DataShop

    Kenneth R. Koedinger;Ryan S. J. d. Baker;Kyle Cunningham;Alida Skogsholm

  • Detecting student misuse of intelligent tutoring systems

    Ryan Shaun Baker;Albert T. Corbett;Kenneth R. Koedinger

  • Algorithmic Bias in Education

    Ryan S. Baker;Aaron Hawn

  • Stupid Tutoring Systems, Intelligent Humans

    Ryan S. Baker

  • The Cambridge Handbook of the Learning Sciences: Educational Data Mining and Learning Analytics

    Ryan Baker;George Siemens

  • Mining Big Data in Education: Affordances and Challenges:

    Christian Fischer;Zachary A. Pardos;Ryan Shaun Baker;Joseph Jay Williams

  • Why Students Engage in “Gaming the System” Behavior in Interactive Learning Environments

    Ryan Baker;Jason Walonoski;Neil Heffernan;Ido Roll

  • Open Learning Analytics: an integrated modularized platform

    George Siemens;Dragan Gašević;Caroline Haythornthwaite;Shane Dawson

  • Educational Data Mining and Learning Analytics: Applications to Constructionist Research.

    Matthew Berland;Ryan S. Baker;Paulo Blikstein

  • Adapting to when students game an intelligent tutoring system

    Ryan S. J. d. Baker;Albert T. Corbett;Kenneth R. Koedinger;Shelley Evenson

  • Who's Learning? Using Demographics in EDM Research

    Luc Paquette;Jaclyn Ocumpaugh;Ziyue Li;Alexandra Andres

  • Modeling and understanding students' off-task behavior in intelligent tutoring systems

    Ryan S.J.d. Baker

  • Developing a generalizable detector of when students game the system

    Ryan S. Baker;Albert T. Corbett;Ido Roll;Kenneth R. Koedinger

Frequent Co-Authors

Kenneth R. Koedinger
Kenneth R. Koedinger Carnegie Mellon University
Albert T. Corbett
Albert T. Corbett Carnegie Mellon University
Neil T. Heffernan
Neil T. Heffernan Worcester Polytechnic Institute
Vincent Aleven
Vincent Aleven Carnegie Mellon University
Ido Roll
Ido Roll Technion – Israel Institute of Technology
Valerie J. Shute
Valerie J. Shute Florida State University
Dragan Gasevic
Dragan Gasevic Monash University
Scott A. Crossley
Scott A. Crossley Vanderbilt University
Sidney K. D'Mello
Sidney K. D'Mello University of Colorado Boulder
Bruce M. McLaren
Bruce M. McLaren Carnegie Mellon University

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