An analysis framework for collaborative problem solving in practice-based learning activities : A mixed-method approach

An analysis framework for collaborative problem solving in practice-based learning activities : A mixed-method approach

Publication Type:
paper-conference
Date Issued:
2016
Authors:
Mutlu Cukurova , Katerina Avramides , Daniel Spikol , Rose Luckin , Manolis Mavrikis
Publisher:
ACM Digital Library
Language:
eng
Page:
84-88
DOI:
10.1145/2883851.2883900
Abstract:

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.

Keywords:
Collaborative learning problem solving practice-based learning analysis framework