Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM ActivitiesShow others and affiliations
2016 (English)In: Proceedings of LAK '16 6th International Conference on Learning Analytics and Knowledge, ACM Digital Library, 2016, p. 522-523Conference paper, Published paper (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages
ACM Digital Library, 2016. p. 522-523
Keywords [en]
Mobile, Learning Analytics, CSCL
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-16773DOI: 10.1145/2883851.2883920ISI: 000390844700083Local ID: 24112OAI: oai:DiVA.org:mau-16773DiVA, id: diva2:1420287
Conference
LAK 16 Sixth International Learning Analytics & Knowledge Conference, Edinburgh, Scotland (April 25 - 29, 2016 )
2020-03-302020-03-302022-06-27Bibliographically approved