| 1. |
- Cukurova, Mutlu, et al.
(författare)
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An analysis framework for collaborative problem solving in practice-based learning activities : A mixed-method approach
- 2016
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Ingår i: Proceedings of LAK '16 6th International Conference on Learning Analytics and Knowledge. - New York, New York, USA : ACM Digital Library. ; , s. 84-88
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Konferensbidrag (refereegranskat)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.
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| 2. |
- Spikol, Daniel, et al.
(författare)
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CSCL Opportunities with Digital Fabrication through Learning Analytics
- 2015
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Ingår i: Exploring the Material Conditions of Learning. - : International Society of the Learning Sciences. ; , s. 697-698
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- This paper presents a recently started research project that aims to generate, analyze, use, and provide feedback for analytics derived from hands-on, project-based and experiential learning scenarios. The project draws heavy influence from digital fabrication activities and related inquiry-based learning. The intention of the poster is to raise the discussion about how learning analytics from the project can be used to support and enhance learning for tangible technologies, These activities include physical computing and other lab work for small group work in higher education and high school settings.
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| 3. |
- Spikol, Daniel, et al.
(författare)
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Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM Activities
- 2016
-
Ingår i: Proceedings of LAK '16 6th International Conference on Learning Analytics and Knowledge. - New York, New York, USA : ACM Digital Library. ; , s. 522-523
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Konferensbidrag (refereegranskat)abstract
- This poster explores how to develop a working framework for STEM education that uses both human annotated and machine data across a purpose-built learning environment. Our dual approach is to develop a robust framework for analysis and investigate how to design a learning analytics system to support hands-on engineering design tasks. Data from the first user tests are presented along with the framework for discussion.
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