{"title":"Who Can Benefit More From More or Less Elaborated Feedback in a Computer-Based Assessment? Dominant Goal Orientation Matters","authors":"Zhen Wang, Yang Cao, Shaoying Gong","doi":"10.1177/07356331221132079","DOIUrl":null,"url":null,"abstract":"Although learner characteristics have been identified as important moderator variables for feedback effectiveness, the question of why learners benefit differently from feedback has only received limited attention. In this study, we investigated: (1) whether learners’ dominant goal orientation moderated the effects of computer-based elaborated feedback on learning; and (2) whether learners’ feedback perception and learning motivation mediated the relationship between elaborated feedback and learning performance. To answer these questions, 101 undergraduates with dominant learning or performance goals were randomly exposed to cue feedback or explanation feedback while working on psychological statistics tasks in a computer-based assessment. Results revealed the moderation role of dominant goal orientation in the relations between elaborated feedback and learning. Specifically, elaborated feedback had more positive effects on dominant learning-oriented learners, but no effects on dominant performance-oriented learners. In addition, feedback perception mediated the moderating effect of dominant goal orientation on the relationship between elaborated feedback and transfer performance. These findings contribute to a better understanding of the role of goal orientations in feedback learning.","PeriodicalId":47865,"journal":{"name":"Journal of Educational Computing Research","volume":"61 1","pages":"671 - 695"},"PeriodicalIF":4.0000,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Educational Computing Research","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1177/07356331221132079","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
Although learner characteristics have been identified as important moderator variables for feedback effectiveness, the question of why learners benefit differently from feedback has only received limited attention. In this study, we investigated: (1) whether learners’ dominant goal orientation moderated the effects of computer-based elaborated feedback on learning; and (2) whether learners’ feedback perception and learning motivation mediated the relationship between elaborated feedback and learning performance. To answer these questions, 101 undergraduates with dominant learning or performance goals were randomly exposed to cue feedback or explanation feedback while working on psychological statistics tasks in a computer-based assessment. Results revealed the moderation role of dominant goal orientation in the relations between elaborated feedback and learning. Specifically, elaborated feedback had more positive effects on dominant learning-oriented learners, but no effects on dominant performance-oriented learners. In addition, feedback perception mediated the moderating effect of dominant goal orientation on the relationship between elaborated feedback and transfer performance. These findings contribute to a better understanding of the role of goal orientations in feedback learning.
期刊介绍:
The goal of this Journal is to provide an international scholarly publication forum for peer-reviewed interdisciplinary research into the applications, effects, and implications of computer-based education. The Journal features articles useful for practitioners and theorists alike. The terms "education" and "computing" are viewed broadly. “Education” refers to the use of computer-based technologies at all levels of the formal education system, business and industry, home-schooling, lifelong learning, and unintentional learning environments. “Computing” refers to all forms of computer applications and innovations - both hardware and software. For example, this could range from mobile and ubiquitous computing to immersive 3D simulations and games to computing-enhanced virtual learning environments.