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Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM activities
2016
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge - LAK '16
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.
doi:10.1145/2883851.2883920
dblp:conf/lak/SpikolAC16
fatcat:4eqx2sf67zblhpl7vc545xvifm