Khalil Mohammad, Slade Sharon, Prinsloo Paul
Centre for the Science of Learning & Technology (SLATE), University of Bergen, Christiesgate 12, Bergen, 5020 Norway.
EarthTrust, Little Wittenham, Abingdon, OX14 4QZ UK.
J Comput High Educ. 2023 Mar 14:1-18. doi: 10.1007/s12528-023-09363-4.
This article maps considerations of inclusiveness and support for students with disabilities by reviewing articles within the field of learning analytics. The study involved a PRISMA-informed systematic review of two popular digital libraries, namely Clarivate's Web of Science, and Elsevier's Scopus for peer-reviewed journal articles and conference proceedings. A final corpus of 26 articles was analysed. Findings show that although the field of learning analytics emerged in 2011, none of the studies identified here covered topics of inclusiveness in education before the year of 2016. Screening also shows that learning analytics provides great potential to promote inclusiveness in terms of reducing discrimination, increasing retention among disadvantaged students, and validating particular learning designs for marginalised groups. Gaps in this potential are also identified. The article aims to provide valuable insight into what is known about learning analytics and inclusiveness and contribute knowledge to this particular nascent area for researchers and institutional stakeholders.
本文通过回顾学习分析领域的文章,梳理了对残疾学生的包容性考量和支持措施。该研究对两个知名数字图书馆进行了基于PRISMA的系统综述,这两个图书馆分别是科睿唯安的《科学引文索引》和爱思唯尔的《Scopus》,检索对象为同行评审期刊文章和会议论文集。最终分析了26篇文章的语料库。研究结果表明,尽管学习分析领域于2011年出现,但在此处确定的研究中,没有一项在2016年之前涉及教育包容性主题。筛选还表明,学习分析在减少歧视、提高弱势学生的留校率以及验证针对边缘化群体的特定学习设计方面,具有促进包容性的巨大潜力。同时也指出了这种潜力存在的差距。本文旨在为学习分析与包容性方面的已知内容提供有价值的见解,并为这一新兴领域的研究人员和机构利益相关者贡献知识。