Article

Free access

Design strategies for a computer-based instruction system

Authors:

Larry C. Christensen,

Gordon Stokes,

Bill HaysAuthors Info & Claims

SIGCSE '86: Proceedings of the seventeenth SIGCSE technical symposium on Computer science education

Pages 329 - 333

https://doi.org/10.1145/5600.5647

Published: 01 February 1986 Publication History

PDF eReader

Abstract

In February, 1984, the Computer Science Department at Brigham Young University began working on a project that would automate the delivery of a beginning programming class. This project known as THE ELROND PROJECT, was funded by the university with the expectation that the instructional delivery costs and the need for additional faculty for this course could be reduced.

This paper describes the system design and principles that were used and presents strategies for creating computer automated courseware.

References

[1]

Bailey, R.W. Human Performance 1982 Enginee ring. Engl ewood Cliffs, N~ : Prentice-Hall, Inc. 1982.

Digital Library

Google Scholar

[2]

Dean, M. "How a Computer Should 1982 Talk to People." IBM Systems O_o_~. 1982. Volume 21. No. 4. pp. 424-452.

Google Scholar

[3]

Hayes, P.J. and Szekely, P.A. 1983 "Graceful interaction Through th e COU S IN Comm and Interface. " In~er nati onal J ournal of Man--Machine ~h~~. 1983. Volume 19. pp. 285-306.

Google Scholar

[4]

Perl man, G. "Natural Artificial 1983 Languages: Low Level Processes. " International ~ournal of Man-Machine Studies. 1983. Volume 19. pp. 373-419.

Digital Library

Google Scholar

[5]

Stokes G., Christensen L., Hays B. 1985 "ELROND: A Computer-Based Instruction System for An Introductory Programming Course. " SIGCSE Bulletin. Volume 17. No. i. March 1985, p. 82.

Digital Library

Google Scholar

Cited By

View all

Bai YYang KMei TMa WZhao T(2018)Automatic Data Augmentation from Massive Web Images for Deep Visual RecognitionACM Transactions on Multimedia Computing, Communications, and Applications10.1145/320494114:3(1-20)Online publication date: 24-Jul-2018
https://dl.acm.org/doi/10.1145/3204941
Liu ZXia YLiu QHe QZhang CZimmermann R(2018)Toward Personalized Activity Level Prediction in Community Question Answering WebsitesACM Transactions on Multimedia Computing, Communications, and Applications10.1145/318701114:2s(1-15)Online publication date: 25-Apr-2018
https://dl.acm.org/doi/10.1145/3187011
Yang JEickhoff C(2018)Unsupervised Learning of Parsimonious General-Purpose Embeddings for User and Location ModelingACM Transactions on Information Systems10.1145/318216536:3(1-33)Online publication date: 13-Mar-2018
https://dl.acm.org/doi/10.1145/3182165
Show More Cited By

Index Terms

Design strategies for a computer-based instruction system

Recommendations

Reviews

Reviewer: Christopher James Dede

This paper summarizes the design principles and management strategies underlying the creation of a Computer Assisted Instruction (CAI) system called ELROND, which is used to teach a beginning course in FORTRAN programming at Brigham Young University. The system design issues discussed include preparation of the menu structure for student choices, the usage of animation and graphics, and the organization of information on the screen. Management strategies which were used to guide course development focused on mapping alternative student paths through the material, creating storyboards for each screen, modularizing the content to be programmed, and testing the Beta version of the program. Initial use of the ELROND system resulted in no significant differences from human instruction. This paper contains no new information of significance. The principles espoused are pedestrian and are described in such general terms that they will be of little use to anyone preparing a similar system.

Access critical reviews of Computing literature here

Become a reviewer for Computing Reviews.

Comments

Information & Contributors

Information

Published In

SIGCSE '86: Proceedings of the seventeenth SIGCSE technical symposium on Computer science education

February 1986

336 pages

ISBN:0897911784

DOI:10.1145/5600

Editors:
Joyce Currie Little
Towson State Univ., Baltimore, MD
,
Lillian N. Cassel
Univ. of Delaware, Newark

ACM SIGCSE Bulletin Volume 18, Issue 1
Proceedings of the 17th SIGCSE symposium on Computer science education
February 1986
304 pages
ISSN:0097-8418
DOI:10.1145/953055
Issue’s Table of Contents

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: 01 February 1986

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Article

Conference

SIGCSE86

Sponsor:

SIGCSE

SIGCSE86: SIGSCE Technical symposium on Computer Science Education

February 6 - 7, 1986

Ohio, Cincinnati, USA

Acceptance Rates

Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

Upcoming Conference

SIGCSE Virtual 2024

Sponsor:
sigcse

1st ACM Virtual Global Computing Education Conference

December 5 - 8, 2024

Virtual Event , NC , USA

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

12
Total Citations
View Citations
258
Total Downloads

Downloads (Last 12 months)22
Downloads (Last 6 weeks)7

Reflects downloads up to 21 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Bai YYang KMei TMa WZhao T(2018)Automatic Data Augmentation from Massive Web Images for Deep Visual RecognitionACM Transactions on Multimedia Computing, Communications, and Applications10.1145/320494114:3(1-20)Online publication date: 24-Jul-2018
https://dl.acm.org/doi/10.1145/3204941
Liu ZXia YLiu QHe QZhang CZimmermann R(2018)Toward Personalized Activity Level Prediction in Community Question Answering WebsitesACM Transactions on Multimedia Computing, Communications, and Applications10.1145/318701114:2s(1-15)Online publication date: 25-Apr-2018
https://dl.acm.org/doi/10.1145/3187011
Yang JEickhoff C(2018)Unsupervised Learning of Parsimonious General-Purpose Embeddings for User and Location ModelingACM Transactions on Information Systems10.1145/318216536:3(1-33)Online publication date: 13-Mar-2018
https://dl.acm.org/doi/10.1145/3182165
Siekkinen Mkämäräinen TFavario LMasala E(2018)Can You See What I See? Quality-of-Experience Measurements of Mobile Live Video BroadcastingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/316527914:2s(1-23)Online publication date: 25-Apr-2018
https://dl.acm.org/doi/10.1145/3165279
Bulgren WMarra RWetzel G(1987)An introductory algorithm teacherProceedings of the eighteenth SIGCSE technical symposium on Computer science education10.1145/31820.31774(292-296)Online publication date: 1-Feb-1987
https://dl.acm.org/doi/10.1145/31820.31774
Woodfield SStokes GCrandall V(1987)On-campus cooperative educationACM SIGCSE Bulletin10.1145/31726.3178519:1(353-356)Online publication date: 1-Feb-1987
https://dl.acm.org/doi/10.1145/31726.31785
Cassel L(1987)Networking elements in a files courseACM SIGCSE Bulletin10.1145/31726.3178319:1(343-345)Online publication date: 1-Feb-1987
https://dl.acm.org/doi/10.1145/31726.31783
Hartman JChrisman C(1987)Providing activities for students to apply data structures conceptsACM SIGCSE Bulletin10.1145/31726.3178219:1(336-342)Online publication date: 1-Feb-1987
https://dl.acm.org/doi/10.1145/31726.31782
Malmrose KBurton R(1987)File processing and the undergraduate computer science curriculumACM SIGCSE Bulletin10.1145/31726.3178119:1(330-335)Online publication date: 1-Feb-1987
https://dl.acm.org/doi/10.1145/31726.31781
Giannotti E(1987)Algorithm animator: a tool for programming learningACM SIGCSE Bulletin10.1145/31726.3177719:1(308-314)Online publication date: 1-Feb-1987
https://dl.acm.org/doi/10.1145/31726.31777
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Get Access

Login options

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

Cited By

Index Terms

Recommendations

The relationship between supplemental computer assisted mathematics instruction and student achievement

The effect of hemisphere dominance and instructional strategies on achievement in computer-assisted instruction

Examining the mathematics performance of developmental mathematics students when computer-assisted instruction is combined with traditional strategies

Reviews

Access critical reviews of Computing literature here