客观地衡量信息技术辅助培训课程的学习效果

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Information and Learning Technology Pub Date : 2022-09-14 DOI:10.1108/ijilt-04-2022-0086
Gerald Schneikart, W. Mayrhofer
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引用次数: 0

摘要

目的所提出的试点研究的目的是通过一个关于协作机器人的实践研讨会来测试一个指标的适用性,以专门衡量性能改进。设计/方法论/方法感兴趣获得协作机器人基本实用技能的候选人完成了远程学习练习,为动手培训研讨会做准备。候选人在研讨会前后进行了一次测试,以记录测试绩效指数(PI)中汇编的参数。结果反映了测试绩效指数在实际技能获取中的应用潜力,并揭示了整合其他绩效因素的潜在机会。研究局限性/含义可用的候选人数量较少,限制了对学习结果的深入分析。实际意义研究结果为后续项目提供了基础,该项目有更多的候选人和对照组,以加快技术辅助绩效衡量的发展。社会含义这项研究有助于研究学习结果的绩效改进和预测,这对这一新兴的学习分析领域至关重要。独创性/价值所提出的PI的开发解决了学习分析中的科学差距,即在技能强化培训课程中对绩效改进和预测的客观衡量。本文介绍了PI的改进版本,该版本于2022年4月在新加坡举行的第12届学习型工厂会议上发表。
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Objectively measuring learning outcomes of information technology-assisted training courses
PurposeThe objective of the presented pilot study was to test the applicability of a metric to specifically measure performance improvement via a hands-on workshop about collaborative robotics.Design/methodology/approachCandidates interested in acquiring basic practical skills in working with a collaborative robot completed a distance learning exercise in preparation for a hands-on training workshop. The candidates executed a test before and after the workshop for recording the parameters compiled in the tested performance index (PI).FindingsThe results reflected the potential of the tested PI for applications in detecting improvement in practical skill acquisition and revealed potential opportunities for integrating additional performance factors.Research limitations/implicationsThe low number of candidates available limited in-depth analyses of the learning outcomes.Practical implicationsThe study outcomes provide the basis for follow-up projects with larger cohorts of candidates and control groups in order to expedite the development of technology-assisted performance measurements.Social implicationsThe study contributes to research on performance improvement and prediction of learning outcomes, which is imperative to this emerging field in learning analytics.Originality/valueThe development of the presented PI addresses a scientific gap in learning analytics, i.e. the objective measurement of performance improvement and prediction along skill-intensive training courses. This paper presents an improved version of the PI, which was published at the 12th Conference on Learning Factories, Singapore, April 2022.
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来源期刊
International Journal of Information and Learning Technology
International Journal of Information and Learning Technology COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.10
自引率
3.30%
发文量
33
期刊介绍: International Journal of Information and Learning Technology (IJILT) provides a forum for the sharing of the latest theories, applications, and services related to planning, developing, managing, using, and evaluating information technologies in administrative, academic, and library computing, as well as other educational technologies. Submissions can include research: -Illustrating and critiquing educational technologies -New uses of technology in education -Issue-or results-focused case studies detailing examples of technology applications in higher education -In-depth analyses of the latest theories, applications and services in the field The journal provides wide-ranging and independent coverage of the management, use and integration of information resources and learning technologies.
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