Task-value motivational prompts in a descriptive dashboard can increase anxiety among anxious learners

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Natercia Valle , Pavlo Antonenko , Denis Valle , Benjamin Baiser
{"title":"Task-value motivational prompts in a descriptive dashboard can increase anxiety among anxious learners","authors":"Natercia Valle ,&nbsp;Pavlo Antonenko ,&nbsp;Denis Valle ,&nbsp;Benjamin Baiser","doi":"10.1016/j.compedu.2025.105242","DOIUrl":null,"url":null,"abstract":"<div><div>Despite the ubiquitous use of learning analytics dashboards in computer-mediated learning environments, there is still a knowledge gap on how these tools can support learners’ academic performance and motivation. This article describes an experimental study that investigated the influence of motivational prompts (task-value scaffolding) in a descriptive learning analytics dashboard on learners’ motivation, statistics anxiety, and learning performance in an authentic semester-long online statistics course. The study was based on a two-group experimental design during two semesters (Fall 2020 and Spring 2021). A total of 122 graduate students completed the study. The results showed that despite learners’ mostly positive perceptions of the dashboard, the use of motivational prompts did not influence learners’ cognitive outcomes. Test anxiety was the only affective outcome influenced by the intervention, with motivational prompts having a negative effect on learners who started the course with a higher level of test anxiety. This study provides needed empirical evidence on how the design of these tools can influence learners’ affective outcomes, with implications for theory and practice. However, additional experimental studies that account for sources of heterogeneity (e.g., intrapersonal characteristics, contextual factors) are necessary to uncover theoretical gaps and opportunities in the design of effective learning analytics dashboards.</div></div>","PeriodicalId":10568,"journal":{"name":"Computers & Education","volume":"229 ","pages":"Article 105242"},"PeriodicalIF":8.9000,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Education","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360131525000107","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

Despite the ubiquitous use of learning analytics dashboards in computer-mediated learning environments, there is still a knowledge gap on how these tools can support learners’ academic performance and motivation. This article describes an experimental study that investigated the influence of motivational prompts (task-value scaffolding) in a descriptive learning analytics dashboard on learners’ motivation, statistics anxiety, and learning performance in an authentic semester-long online statistics course. The study was based on a two-group experimental design during two semesters (Fall 2020 and Spring 2021). A total of 122 graduate students completed the study. The results showed that despite learners’ mostly positive perceptions of the dashboard, the use of motivational prompts did not influence learners’ cognitive outcomes. Test anxiety was the only affective outcome influenced by the intervention, with motivational prompts having a negative effect on learners who started the course with a higher level of test anxiety. This study provides needed empirical evidence on how the design of these tools can influence learners’ affective outcomes, with implications for theory and practice. However, additional experimental studies that account for sources of heterogeneity (e.g., intrapersonal characteristics, contextual factors) are necessary to uncover theoretical gaps and opportunities in the design of effective learning analytics dashboards.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信