TY  - GEN
N1  - © 2016 ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, http://dx.doi.org/10.1145/2883851.2883900.
CY  - New York, NY, USA
TI  - An analysis framework for collaborative problem solving in practice-based learning activities: A mixed-method approach
UR  - http://dx.doi.org/10.1145/2883851.2883900
Y1  - 2016/02//
ID  - discovery1476723
PB  - ACM
EP  - 88
T3  - LAK '16
SP  - 84
KW  - Collaborative learning
KW  -  problem solving
KW  -  practice-based learning
KW  -  analysis framework
N2  - Systematic investigation of the collaborative problem solving process in open-ended, hands-on, physical computing design tasks requires a framework that highlights the main process features, stages and actions that then can be used to provide 'meaningful' learning analytics data. This paper presents an analysis framework that can be used to identify crucial aspects of the collaborative problem solving process in practice-based learning activities. We deployed a mixed-methods approach that allowed us to generate an analysis framework that is theoretically robust, and generalizable. Additionally, the framework is grounded in data and hence applicable to real-life learning contexts. This paper presents how our framework was developed and how it can be used to analyse data. We argue for the value of effective analysis frameworks in the generation and presentation of learning analytics for practice-based learning activities.
A1  - Cukurova, M
A1  - Avramides, K
A1  - Spikol, D
A1  - Luckin, R
A1  - Mavrikis, M
AV  - public
ER  -