Towards Skills-based Curriculum Analytics (LAK20)

Coming up this month at LAK20… some of the first work to emerge from our new priority stream on the use of NLP and ontologies for Skills Analytics…

Kirsty Kitto, Nikhil Sarathy, Aleksandr Gromov, Ming Liu, Katarzyna Musial, and Simon Buckingham Shum. 2020. Towards Skills-based Curriculum Analytics: Can we automate the recognition of prior learning? In Proceedings of the 10th International Conference on Learning Analytics and Knowledge (LAK ’20), March 23–27, 2020, Frankfurt, Germany. ACM, New York, NY, USA, 10 pages. [Open Access Eprint]

Abstract: In an era that will increasingly depend upon lifelong learning, the LA community will need to facilitate the movement and sharing of data and information across institutional and geographic boundaries. This will help us to recognise prior learning (RPL) and to personalise the learner experience. Here, we explore the utility of skills-based curriculum analytics and how it might facilitate the process of awarding RPL between two institutions. We explore the potential utility of combining natural language processing and skills taxonomies to map between subject descriptions for these two different institutions, presenting two algorithms we have developed to facilitate RPL and evaluating their performance. We draw attention to some of the issues that arise, listing areas that we consider ripe for future work in a surprisingly underexplored area.

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