适度
形成性评价
心理学
建设性的
独创性
学习管理
集合(抽象数据类型)
应用心理学
知识管理
跨国公司
医学教育
计算机科学
业务
社会心理学
数学教育
医学
过程(计算)
程序设计语言
操作系统
财务
创造力
作者
Lian Duan,Hongbo Song,Xiaoshan Huang,Weihan Lin,Jiang Yan,Xinheng Wang,Yihua Wu
出处
期刊:Information and learning sciences
[Emerald (MCB UP)]
日期:2023-08-17
卷期号:124 (11/12): 442-459
被引量:1
标识
DOI:10.1108/ils-02-2023-0012
摘要
Purpose The study examined the impact of feedback types through a learning management system (LMS) on employees’ training performance. The purpose of this study is to establish effective feedback on advanced technologies for promoting corporate training. Design/methodology/approach A total of 148 trainees were recruited from a multinational medical company. Employees were randomly assigned to receive feedback from shallow to more constructive details on their learning performance with LMS. Data sources included are employees’ goal setting (GS) performance evaluated by the experts and their posttest scores obtained from the LMS. A series of statistical analyses were performed to investigate the impact of feedback intervention on employees’ GS and their impacts on corporate training results. Findings GS has a significant impact on learning outcomes. Employees who set greater specific goals attained higher scores. Furthermore, feedback with more formative evaluation and constructive developmental advice resulted in the most significant positive influence on the relationship between participants’ GS and learning outcomes. Practical implications Organizations can benefit from delivering appropriate feedback using LMS to enhance employees’ GS and learning efficacy in corporate training. Originality/value This study is one of the first to examine the moderating effect of feedback provided by LMS on GS and online learning performance in corporate training. This study contributes to GS theory for practical application and proposes a viable method for remote learning. The current study’s findings can be used to provide educational psychological insights for training and learning in industrial contexts.
科研通智能强力驱动
Strongly Powered by AbleSci AI