Computer-Based Training and Assessments: An Exploratory Study of Social Factors

Scott L. Schneberger, D. Amoroso, Antonina Durfee
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引用次数: 4

Abstract

This paper introduces an exploratory research program on different types of hybrid classes to answer those and other questions around its efficacy and applicability for training and education. Our objective is to develop and perform an initial test of a new model designed to trace the influence of individual and technical characteristics on learning outcomes through their effect on in-class and computer training phases of knowledge and skills acquisition and testing. The overall research question is: "Which and how much do CBT, individual student, class, instructor, and CBA factors affect student learning outcomes?" This paper proposes a research model based upon the Leidner and Jarvenpaa (2001) work where they introduce a research model that helps instructors determine the best teaching method depending on course content, available technology, an individual instructor, and student factors. Thirty-six questions were posed to over 400 students with direct and current experience using CBT and CBA for course credit. The findings show that there is a strong potential for student as well as corporate benefits in training using online assessment tools. Online assessment effectiveness should be given further research study given the explosive jump in reported learning.
计算机培训与评估:社会因素的探索性研究
本文介绍了一项关于不同类型的混合班的探索性研究计划,以回答有关混合班在培训和教育中的有效性和适用性的问题。我们的目标是开发并执行一个新模型的初步测试,该模型旨在追踪个人和技术特征对学习成果的影响,通过它们对课堂和计算机培训阶段的知识和技能获取和测试的影响。总体研究问题是:“CBT、学生个体、班级、教师和CBA因素对学生学习成果的影响有哪些,影响程度有多大?”本文提出了一个基于Leidner和Jarvenpaa(2001)工作的研究模型,他们介绍了一个研究模型,帮助教师根据课程内容、可用技术、个别教师和学生因素确定最佳教学方法。我们向400多名学生提出了36个问题,这些学生都有直接或当前使用CBT和CBA获得课程学分的经验。研究结果表明,使用在线评估工具进行培训对学生和企业都有很大的好处。鉴于报告学习的爆炸式增长,在线评估的有效性应该得到进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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