Recipe for success — Lessons learnt from using xAPI within the Connected Learning Analytics toolkit
Bakharia, Aneesha, Kitto, Kirsty, Pardo, Abelardo, Gasevic, Dragan, & Dawson, Shane (2016) Recipe for success — Lessons learnt from using xAPI within the Connected Learning Analytics toolkit. In 6th International Learning Analytics and Knowledge (LAK) Conference, 25-29 April 2016, Edinburgh, UK.
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An ongoing challenge for Learning Analytics research has been the scalable derivation of user interaction data from multiple technologies. The complexities associated with this challenge are increasing as educators embrace an ever growing number of social and content related technologies. The Experience API (xAPI) alongside the development of user specific record stores has been touted as a means to address this challenge, but a number of subtle considerations must be made when using xAPI in Learning Analytics. This paper provides a general overview to the complexities and challenges of using xAPI in a general systemic analytics solution - called the Connected Learning Analytics (CLA) toolkit. The importance of design is emphasised, as is the notion of common vocabularies and xAPI Recipes. Early decisions about vocabularies and structural relationships between statements can serve to either facilitate or handicap later analytics solutions. The CLA toolkit case study provides us with a way of examining both the strengths and the weaknesses of the current xAPI specification, and we conclude with a proposal for how xAPI might be improved by using JSON-LD to formalise Recipes in a machine readable form.
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|Item Type:||Conference Paper|
|Keywords:||xAPI, CLA toolkit, Learning Analytics, HERN|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DATA FORMAT (080400) > Data Structures (080403)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Computer-Human Interaction (080602)
Australian and New Zealand Standard Research Classification > EDUCATION (130000) > SPECIALIST STUDIES IN EDUCATION (130300) > Educational Technology and Computing (130306)
|Divisions:||Current > Institutes > Institute for Future Environments
Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2016 ACM|
|Deposited On:||08 Feb 2016 00:12|
|Last Modified:||20 Jul 2016 18:51|
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