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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