subject predicate object context
50450 Creator c9d52ef4a11ad1277436a89c20d0a5d4
50450 Creator 71122b7715e55a3f53d5c14540adcbbb
50450 Creator f037b91553d4d0d207f3e2fe9751bb02
50450 Date 2017-07
50450 Is Part Of repository
50450 Is Part Of p16113349
50450 abstract In the last five years, learning analytics has proved its potential in predicting academic performance based on trace data of learning activities. However, the role of pedagogical context in learning analytics has not been fully understood. To date, it has been difficult to quantify learning in a way that can be measured and compared. By coding the design of e-learning courses, this study demonstrates how learning design is being implemented on a large scale at the Open University UK, and how learning analytics could support as well as benefit from learning design. Building on our previous work, our analysis was conducted longitudinally on 23 undergraduate distance learning modules and their 40,083 students. The innovative aspect of this study is the availability of fine-grained learning design data at individual task level, which allows us to consider the connections between learning activities, and the media used to produce the activities. Using a combination of visualizations and social network analysis, our findings revealed a diversity in how learning activities were designed within and between disciplines as well as individual learning activities. By reflecting on the learning design in an explicit manner, educators are empowered to compare and contrast their design using their own institutional data.
50450 authorList authors
50450 editorList editors
50450 issue 10296
50450 presentedAt ext-f3348b25515797a905a81045a9ebc75a
50450 status peerReviewed
50450 uri http://data.open.ac.uk/oro/document/631086
50450 uri http://data.open.ac.uk/oro/document/631087
50450 uri http://data.open.ac.uk/oro/document/631088
50450 uri http://data.open.ac.uk/oro/document/631089
50450 uri http://data.open.ac.uk/oro/document/631090
50450 uri http://data.open.ac.uk/oro/document/631091
50450 uri http://data.open.ac.uk/oro/document/659350
50450 type AcademicArticle
50450 type Article
50450 label Nguyen, Quan ; Rienties, Bart and Toetenel, Lisette (2017). Mixing and Matching Learning Design and Learning Analytics. In: Learning and Collaboration Technologies: Technology in Education - 4th International Conference, LCT 2017 Held as Part of HCI International 2017 Vancouver, BC, Canada, July 9–14, 2017 Proceedings, Part II (Zaphiris, Panayiotis and Ioannou, Andri eds.), Springer, pp. 302–316.
50450 label Nguyen, Quan ; Rienties, Bart and Toetenel, Lisette (2017). Mixing and Matching Learning Design and Learning Analytics. In: Learning and Collaboration Technologies: Technology in Education - 4th International Conference, LCT 2017 Held as Part of HCI International 2017 Vancouver, BC, Canada, July 9–14, 2017 Proceedings, Part II (Zaphiris, Panayiotis and Ioannou, Andri eds.), Springer, pp. 302–316.
50450 Publisher ext-1c5ddec173ca8cdfba8b274309638579
50450 Title Mixing and Matching Learning Design and Learning Analytics
50450 in dataset oro