extended-abstract

The accidental tutor: overlaying an intelligent tutor on an existing user interface

Authors:

Stephen B. Gilbert,

Stephen B. Blessing,

Liz BlankenshipAuthors Info & Claims

CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing Systems

Pages 4603 - 4608

https://doi.org/10.1145/1520340.1520707

Published: 04 April 2009 Publication History

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Abstract

Intelligent Tutoring Systems (ITSs) have been shown to have dramatic impact on student learning [9]. However, these gains have been mostly in topics in which the interface has been designed with the intelligent tutor in mind. This research investigates the HCI challenges that result from creating two model-tracing ITSs for use with existing interfaces. We describe overlaying a tutor on an image-editing program and a web-based application. We highlight three main HCI challenges: 1) integrating a problem scenario in the context of the existing application, 2) providing learners with appropriate feedback during task performance, and 3) allowing learners to explore the interface while making sure they complete the task.

References

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Cited By

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Gilbert SBlessing SGuo E(2015)Authoring Effective Embedded Tutors: An Overview of the Extensible Problem Specific Tutor (xPST) SystemInternational Journal of Artificial Intelligence in Education10.1007/s40593-015-0045-025:3(428-454)Online publication date: 15-May-2015
https://doi.org/10.1007/s40593-015-0045-0
Cooper SNam YSi LLapidot TGal-Ezer JCaspersen MHazzan O(2012)Initial results of using an intelligent tutoring system with AliceProceedings of the 17th ACM annual conference on Innovation and technology in computer science education10.1145/2325296.2325332(138-143)Online publication date: 3-Jul-2012
https://dl.acm.org/doi/10.1145/2325296.2325332

Index Terms

The accidental tutor: overlaying an intelligent tutor on an existing user interface
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces

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Information & Contributors

Information

Published In

CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing Systems

April 2009

2470 pages

ISBN:9781605582474

DOI:10.1145/1520340

General Chair:
Dan R. Olsen
Brigham Young University
,
Program Chairs:
Ken Hinckley
Microsoft Research
,
Meredith Ringel Morris
Microsoft Research
,
Scott Hudson
Carnegie Mellon University
,
Saul Greenberg
University of Calgary

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 04 April 2009

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Extended-abstract

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CHI '09

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CHI '09: CHI Conference on Human Factors in Computing Systems

April 4 - 9, 2009

MA, Boston, USA

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CHI EA '09 Paper Acceptance Rate 385 of 1,130 submissions, 34%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all

Gilbert SBlessing SGuo E(2015)Authoring Effective Embedded Tutors: An Overview of the Extensible Problem Specific Tutor (xPST) SystemInternational Journal of Artificial Intelligence in Education10.1007/s40593-015-0045-025:3(428-454)Online publication date: 15-May-2015
https://doi.org/10.1007/s40593-015-0045-0
Cooper SNam YSi LLapidot TGal-Ezer JCaspersen MHazzan O(2012)Initial results of using an intelligent tutoring system with AliceProceedings of the 17th ACM annual conference on Innovation and technology in computer science education10.1145/2325296.2325332(138-143)Online publication date: 3-Jul-2012
https://dl.acm.org/doi/10.1145/2325296.2325332

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Recommendations

The Extensible Problem-Specific Tutor (xPST): Evaluation of an API for Tutoring on Existing Interfaces

To Tutor or Not to Tutor: That is the Question

The Application of Learning Theories into Abdullah: An Intelligent Arabic Conversational Agent Tutor