作者
Saleh Alhazbi, Afnan Al‐ali, Aliya Tabassum, Abdulla Al‐Ali, Ahmed Al‐Emadi, Tamer Khattab, Mahmood A Hasan
发表日期
2024/3/29
来源
Journal of Computer Assisted Learning
出版商
John Wiley & Sons, Inc.
简介
Background
Measuring students' self‐regulation skills is essential to understand how they approach their learning tasks in order to identify areas where they might need additional support. Traditionally, self‐report questionnaires and think aloud protocols have been used to measure self‐regulated learning skills (SRL). However, these methods are based on students' interpretation, so they are prone to potential inaccuracy. Recently, there has been a growing interest in utilizing learning analytics (LA) to capture students' self‐regulated learning (SRL) by extracting indicators from their online trace data.
Objectives
This paper aims to identify the indicators and metrics employed by previous studies to measure SRL in higher education. Additionally, the study examined how these measurements were validated.
Methods
Following the protocol of Preferred Reporting Items for Systematic Reviews and Meta‐Analyses …
引用总数
学术搜索中的文章
S Alhazbi, A Al‐ali, A Tabassum, A Al‐Ali, A Al‐Emadi… - Journal of Computer Assisted Learning, 2024