Article

Free access

Third generation computer tutors: learn from or ignore human tutors?

Authors:

Kurt VanLehnAuthors Info & Claims

CHI EA '99: CHI '99 Extended Abstracts on Human Factors in Computing Systems

Pages 85 - 86

https://doi.org/10.1145/632716.632769

Published: 15 May 1999 Publication History

PDF eReader

Abstract

Current "second generation or "intelligent" computer tutors are approximately one-half as effective as human tutors. How will we develop the next generation of computer tutors that approaches human tutor effectiveness? Does success lie in understanding and emulating the performance of human tutors? If so, should we focus on natural language dialog or human tutor pedagogy? Alternatively, does computer technology afford effective instructional interventions, unavailable to human tutors? Can we modify learning activities and monitor student problem solving in ways that human tutors cannot.

Cited By

View all

Ruan SJiang LXu QLiu ZDavis GBrunskill ELanday JHammond TVerbert KParra DKnijnenburg BO'Donovan JTeale P(2021)EnglishBot: An AI-Powered Conversational System for Second Language LearningProceedings of the 26th International Conference on Intelligent User Interfaces10.1145/3397481.3450648(434-444)Online publication date: 14-Apr-2021
https://dl.acm.org/doi/10.1145/3397481.3450648
Edwards SMurali KKazerouni AZhang MYang BCooper SLuxton-Reilly A(2019)The Relationship Between Voluntary Practice of Short Programming Exercises and Exam PerformanceProceedings of the ACM Conference on Global Computing Education10.1145/3300115.3309525(113-119)Online publication date: 9-May-2019
https://dl.acm.org/doi/10.1145/3300115.3309525
D'mello SGraesser A(2013)AutoTutor and affective autotutorACM Transactions on Interactive Intelligent Systems10.1145/2395123.23951282:4(1-39)Online publication date: 1-Jan-2013
https://dl.acm.org/doi/10.1145/2395123.2395128

Third generation computer tutors: learn from or ignore human tutors?
1. Applied computing
2. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs

Recommendations

An Interaction Design for Machine Teaching to Develop AI Tutors
CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Intelligent tutoring systems (ITSs) have consistently been shown to improve the educational outcomes of students when used alone or combined with traditional instruction. However, building an ITS is a time-consuming process which requires specialized ...
Intelligent Tutors for All: The Constraint-Based Approach

Intelligent tutoring systems have revolutionized online education by providing individualized instruction for each student. Constraint-based tutors model instructional domains at an abstract level, a novel approach that simplifies development of these ...
Instructional interventions in computer-based tutoring: differential impact on learning time and accuracy
CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing Systems

We can reliably build “second generation” intelligent computer tutors that are approximately half as effective as human tutors. This paper evaluates two interface enhancements designed to improve the effectiveness of one successful second generation ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

CHI EA '99: CHI '99 Extended Abstracts on Human Factors in Computing Systems

May 1999

380 pages

ISBN:1581131585

DOI:10.1145/632716

Conference Chair:
Michael E. Atwood
Drexel University

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 May 1999

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

CHI99

Sponsor:

SIGCHI

CHI99: Conference on Human Factors in Computing Systems

May 15 - 20, 1999

Pennsylvania, Pittsburgh

Acceptance Rates

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

Upcoming Conference

CHI '25

Sponsor:
sigchi

CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
539
Total Downloads

Downloads (Last 12 months)50
Downloads (Last 6 weeks)10

Reflects downloads up to 25 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Ruan SJiang LXu QLiu ZDavis GBrunskill ELanday JHammond TVerbert KParra DKnijnenburg BO'Donovan JTeale P(2021)EnglishBot: An AI-Powered Conversational System for Second Language LearningProceedings of the 26th International Conference on Intelligent User Interfaces10.1145/3397481.3450648(434-444)Online publication date: 14-Apr-2021
https://dl.acm.org/doi/10.1145/3397481.3450648
Edwards SMurali KKazerouni AZhang MYang BCooper SLuxton-Reilly A(2019)The Relationship Between Voluntary Practice of Short Programming Exercises and Exam PerformanceProceedings of the ACM Conference on Global Computing Education10.1145/3300115.3309525(113-119)Online publication date: 9-May-2019
https://dl.acm.org/doi/10.1145/3300115.3309525
D'mello SGraesser A(2013)AutoTutor and affective autotutorACM Transactions on Interactive Intelligent Systems10.1145/2395123.23951282:4(1-39)Online publication date: 1-Jan-2013
https://dl.acm.org/doi/10.1145/2395123.2395128

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Recommendations

An Interaction Design for Machine Teaching to Develop AI Tutors

Intelligent Tutors for All: The Constraint-Based Approach

Instructional interventions in computer-based tutoring: differential impact on learning time and accuracy