Making good suggestions in analytics-based early alert systems Shaping minds and changing behaviours

被引:3
作者
Foung, Dennis [1 ]
机构
[1] Hong Kong Polytech Univ, Kowloon, Hong Kong, Peoples R China
关键词
Data mining; Learning analytics; Academic writing; Change of behaviours; Early alert systems; University teaching; LEARNING ANALYTICS; STUDENTS; PERFORMANCE; INTERVENTION; STRATEGIES;
D O I
10.1108/JARHE-12-2018-0264
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Purpose The purpose of this paper is to answer the following questions: On which early alert system suggestions are students more likely to act? What factors drive students' decisions to act on early alert system recommendations? Design/methodology/approach This study examined whether students' behaviour changed after receiving the results of an early alert system (CDR). In the middle of a semester, 423 students with varying levels of English proficiency were invited to try the CDR and complete a questionnaire that asked about their perception of the tool and whether they planned to act on the recommendations they received. Findings Results suggested that students mainly planned to take the assessment-related recommendations provided through the CDR to improve their assessment performance. Results also suggested that student anxiety and student ability affected the likelihood that students would act on the recommendations. Practical implications - These findings provide useful insights for early alert system designers to establish a system that generates useful recommendations for students. Originality/value The findings of this study contribute to the development of early alert systems. Designers can now realise what suggestions can be effectively offered to students.
引用
收藏
页码:109 / 123
页数:15
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