A reference model for learning analytics

被引:349
作者
Chatti, Mohamed Amine [1 ]
Dyckhoff, Anna Lea [1 ]
Schroeder, Ulrik [1 ]
Thues, Hendrik [1 ]
机构
[1] Rhein Westfal TH Aachen, Informat Learning Technol 9, Ahornstr 55, D-52056 Aachen, Germany
关键词
learning analytics; academic analytics; educational data mining; action research; literature review; reference model;
D O I
10.1504/IJTEL.2012.051815
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Recently, there is an increasing interest in learning analytics in Technology-Enhanced Learning (TEL). Generally, learning analytics deals with the development of methods that harness educational datasets to support the learning process. Learning analytics (LA) is a multi-disciplinary field involving machine learning, artificial intelligence, information retrieval, statistics and visualisation. LA is also a field in which several related areas of research in TEL converge. These include academic analytics, action analytics and educational data mining. In this paper, we investigate the connections between LA and these related fields. We describe a reference model for LA based on four dimensions, namely data and environments (what?), stakeholders (who?), objectives (why?) and methods (how?). We then review recent publications on LA and its related fields and map them to the four dimensions of the reference model. Furthermore, we identify various challenges and research opportunities in the area of LA in relation to each dimension.
引用
收藏
页码:318 / 331
页数:14
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