Intelligent Tutoring Systems and Affective Computing

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Intelligent Tutoring Systems and Affective
Computing

• AI in Education

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Outline

• Research interests
• Big research questions
• Methods
• Current projects
• Software
• Status
• Research team
• Things to do

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Outline

• Research interests
• Big research questions
• Methods
• Current projects
• Software
• Status
• Research team
• Things to do

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Two interests

• Use of artificial intelligence in the development
  of tutors
• Detection of and response to student affect
• Different from emotions or feelings
• Can refer to motivation and other non-cognitive
  factors that affect cognitions

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Outline

• Research interests
• Big research questions
• Methods
• Current projects
• Software
• Status
• Research team
• Things to do

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Research concerns

• Development of computationally-tractable models
  of student affect and behavior
• Development of socially intelligent agents that
  can respond to the student cognitively and
  affectively

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Outline

• Research interests
• Big research questions
• Methods
• Current projects
• Software
• Status
• Research team
• Things to do

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Methods

• Human observation
• Interaction logging
• Biometrics logging

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Outline

• Research interests
• Big research questions
• Methods
• Current projects
• Software
• Status
• Research team
• Things to do

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Current projects

• The Incredible Machine
• Aplusix
• Affect in games
• BlueJ
• Ecolab
• Others

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The Incredible Machine
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The Incredible Machine

• Our first pancake
• Used human observations to record different
  student behaviors and affective states
• Collaboration with Dr. Ryan Baker then with the
  University of Nottingham, now with Carnegie
  Mellon
• Findings have been published in two international
  conferences
• Artificial Intelligence in Education 2007, July
• Affective Computing and Intelligent Interaction
  2007, September (to appear)

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The Incredible Machine

• Jessica Sugay (MA Ed ITI)
• Sheryl Lim (MS CS)
• Carminda Lagud (MA Ed ITI)
• Sam Pascua (MA Ed ITI)
• NJ Viehland (MA Ed ITI)
• Sinath Tep (MA Ed ITI)
• Leima Sevilla (MA Ed ITI)
• Alexis Macapanpan (MA Ed)
• Jerry Santillano (MS CS)

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Aplusix
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Aplusix

• Uses human observations and interaction logs
• Collaboration with Dr. Jean-Francois Nicaud of
  the Universite Joseph Fourier and Dr. Ryan Baker
• Funded by LS Scholarly Work Grant
• Data is currently undergoing analysis

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Aplusix

• Beth Anglo (PhD CS) possible dissertation
• Jessica Sugay (MA Ed ITI) possible thesis
• Sheryl Lim (MS CS) possible thesis
• Carminda Lagud (MA Ed ITI) thesis
• Sam Pascua (MA Ed ITI)
• NJ Viehland (MA Ed ITI)
• Sinath Tep (MA Ed ITI)
• Alexis Macapanpan (MA Ed)
• Jerry Santillano (MS CS)

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Affect in games

• Uses human observations and interaction logs
• Supported by the AJWCC
• Data analysis is ongoing
• Spearheaded by Kara Hizon

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BlueJ
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BlueJ

• Uses human observations, logging of student
  online protocols, and other data sources
• Collaboration with Dr. Matthew Jadud of the
  University of Kent and the Mindanao State
  University Iligan Institute of Technology
• Funded by a DOST Grant
• Data gathering ongoing

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BlueJ

• Emily Tabanao (MS CS) - thesis
• Christine Amarra (MS CS) - thesis
• Oyen Mendoza (MS CS) - thesis
• Jessica Sugay (MA Ed ITI)
• Sheryl Lim (MS CS)
• Akie Mejia (MS CS)

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Ecolab
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Ecolab

• Uses human observations, interaction logging, and
  several pre- and post-tests
• Collaboration with Dr. Genaro Rebolledo-Mendez of
  the London Knowledge Lab and Dr. Ryan Baker
• Funded by an LS Scholarly Work Grant
• Data gathering ongoing

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Ecolab

• Jessica Sugay (MA Ed ITI)
• Sheryl Lim (MS CS)

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Others

• Biometrics Jasper Lam and Sheena Tan
• Development of tutors Mary Anne Pineda

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Outline

• Research interests
• Big research questions
• Methods
• Current projects
• Software
• Status
• Research team
• Things to do

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Things to do (Plenty!)

• Analysis of current logs
• Building of agents
• Development of data gathering and annotation
  tools
• And much more!

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Acknowledgements Debbie, Jasper, Mac, Kei,
James, and Dottie

• mrodrigo_at_ateneo.edu