Search Results - "Baker, Ryan S. J. d."

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  1. 1

    On the Benefits of Seeking (and Avoiding) Help in Online Problem-Solving Environments by Roll, Ido, Baker, Ryan S. J. d., Aleven, Vincent, Koedinger, Kenneth R.

    Published in The Journal of the learning sciences (02-10-2014)
    “…Seeking the right level of help at the right time can support learning. However, in the context of online problem-solving environments, it is still not…”
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    Journal Article
  2. 2

    A review of recent advances in learner and skill modeling in intelligent learning environments by Desmarais, Michel C., Baker, Ryan S. J. d.

    Published in User modeling and user-adapted interaction (01-04-2012)
    “…In recent years, learner models have emerged from the research laboratory and research classrooms into the wider world. Learner models are now embedded in real…”
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    Journal Article
  3. 3

    Generalizing Automated Detection of the Robustness of Student Learning in an Intelligent Tutor for Genetics by Baker, Ryan S. J. d., Corbett, Albert T., Gowda, Sujith M.

    Published in Journal of educational psychology (01-11-2013)
    “…Recently, there has been growing emphasis on supporting robust learning within intelligent tutoring systems, assessed by measures such as transfer to related…”
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    Journal Article
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    Developing a generalizable detector of when students game the system by Baker, Ryan S. J. d., Corbett, Albert T., Roll, Ido, Koedinger, Kenneth R.

    Published in User modeling and user-adapted interaction (01-08-2008)
    “…Some students, when working in interactive learning environments, attempt to “game the system”, attempting to succeed in the environment by exploiting…”
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    Journal Article
  6. 6

    Student Off-Task Behavior in Computer-Based Learning in the Philippines: Comparison to Prior Research in the USA by Rodrigo, Ma. Mercedes T, Baker, Ryan S. J. D, Rossi, Lisa

    Published in Teachers College record (1970) (01-10-2013)
    “…Background: Off-task behavior can be defined as any behavior that does not involve the learning task or material, or where learning from the material is not…”
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    Journal Article
  7. 7

    Carelessness and Affect in an Intelligent Tutoring System for Mathematics by San Pedro, Maria Ofelia Z., Baker, Ryan S. J. d., Rodrigo, Ma. Mercedes T.

    “…We investigate the relationship between students’ affect and their frequency of careless errors while using an Intelligent Tutoring System for middle school…”
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    Journal Article
  8. 8

    Leveraging machine-learned detectors of systematic inquiry behavior to estimate and predict transfer of inquiry skill by Sao Pedro, Michael A., de Baker, Ryan S. J., Gobert, Janice D., Montalvo, Orlando, Nakama, Adam

    Published in User modeling and user-adapted interaction (01-03-2013)
    “…We present work toward automatically assessing and estimating science inquiry skills as middle school students engage in inquiry within a physical science…”
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    Journal Article
  9. 9

    Knowledge Elicitation Methods for Affect Modelling in Education by Porayska-Pomsta, Kaska, Mavrikis, Manolis, D'Mello, Sidney, Conati, Cristina, Baker, Ryan S. J. d

    “…Research on the relationship between affect and cognition in Artificial Intelligence in Education (AIEd) brings an important dimension to our understanding of…”
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    Detecting Learning Moment-by-Moment by Baker, Ryan S. J. D, Goldstein, Adam B, Heffernan, Neil T

    “…Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However,…”
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    Journal Article
  12. 12

    The Effects of an Interactive Software Agent on Student Affective Dynamics while Using ;an Intelligent Tutoring System by Rodrigo, M. M. T., Baker, R. S. J. D., Agapito, J., Nabos, J., Repalam, M. C., Reyes, S. S., San Pedro, M. O. C. Z.

    Published in IEEE transactions on affective computing (01-04-2012)
    “…We study the affective states exhibited by students using an intelligent tutoring system for Scatterplots with and without an interactive software agent,…”
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    Journal Article
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    Which Is More Responsible for Boredom in Intelligent Tutoring Systems: Students (Trait) or Problems (State)? by Hawkins, William, Heffernan, Neil, Baker, Ryan S. J. D.

    “…Boredom is unpleasant, and has been repeatedly shown to be associated with poor performance and long-term disengagement in educational contexts. Boredom is…”
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    Conference Proceeding