Computer Supported Instruction and Student Characteristics: An Experimental Study

Author:

Premkumar G.1,Ramamurthy K.2,King William R.3

Affiliation:

1. Iowa State University

2. University of Wisconsin-Milwaukee

3. University of Pittsburgh

Abstract

The extensive use of computers by businesses makes it imperative for most business graduates to possess a fair amount of computer skills to effectively perform in today's work environment. Business schools are integrating computers into their curricula to provide their students with these skills. While many studies in education have evaluated the effect of computer-based education, there are very few in the field of business education. This study evaluates the influence of a computer-based support system on the decision-making skills of students in a introductory financial management course. It also evaluates the impact of various personal characteristics of the student on decision-making performance. An experimental design combined with a survey instrument is used to collect data from forty-two graduate students. Discriminant analysis is used to derive a profile of students classifiable into groups based on quality of performance and degree of satisfaction. The results of the study indicate that the computer support system does indeed improve the performance of the students. The results of discriminant analyses suggest aptitude to be an important variable that emerged consistently in all the discriminant models. The other important predictors of improved performance and satisfaction with computer-supported instruction were observed to be domain expertise, domain experience, system experience, and the gender of the students.

Publisher

SAGE Publications

Subject

Computer Science Applications,Education

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3