Learning analytics beyond the LMS : the Connected Learning Analytics toolkit
| Data(s) |
16/03/2015
|
|---|---|
| Resumo |
We present a Connected Learning Analytics (CLA) toolkit, which enables data to be extracted from social media and imported into a Learning Record Store (LRS), as defined by the new xAPI standard. Core to the toolkit is the notion of learner access to their own data. A number of implementational issues are discussed, and an ontology of xAPI verb/object/activity statements as they might be unified across 7 different social media and online environments is introduced. After considering some of the analytics that learners might be interested in discovering about their own processes (the delivery of which is prioritised for the toolkit) we propose a set of learning activities that could be easily implemented, and their data tracked by anyone using the toolkit and a LRS. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
ACM |
| Relação |
http://eprints.qut.edu.au/81343/1/lak15_submission_116.pdf DOI:10.1145/2723576.2723627 Kitto, Kirsty, Cross, Sebastian, Waters, Zak, & Lupton, Mandy (2015) Learning analytics beyond the LMS : the Connected Learning Analytics toolkit. In Proceedings of the 5th International Learning Analytics and Knowledge (LAK) Conference, ACM, Poughkeepsie, New York, USA. |
| Direitos |
Copyright 2015 Kirsty Kitto Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Permissions@acm.org. |
| Fonte |
School of Cultural & Professional Learning; Faculty of Education; Institute for Future Environments; School of Information Systems; Science & Engineering Faculty |
| Palavras-Chave | #080602 Computer-Human Interaction #130306 Educational Technology and Computing #170203 Knowledge Representation and Machine Learning #Connected Learning #xAPI #integration #data ownership #HERN |
| Tipo |
Conference Paper |
