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A case study on learning analytics using Experience API
PROCEEDINGS

, , , Digital Education Institute, Institute for Information Industry, Taiwan ; , Boise State University, United States

Society for Information Technology & Teacher Education International Conference, in Las Vegas, NV, United States ISBN 978-1-939797-13-1 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

Abstract

The Tin Can API (Experience API, xAPI) is a set of data standards to record and store individual user’s learning experiences either online or offline. It aims to standardize data format to enable tracking and analysis across platforms and time spans. This paper discusses two major data issues in learning analytics and examines whether xAPI can be a solution for these issues. A case study was conducted on a xAPI compliant LMS to collect, analyze, and visualize student’s learning patterns. The results xAPI cannot solve the issue of behavioral definition inconsistency but it empowers analysts to track and differentiate more micro-level behaviors to enable in-depth analyses. As the xAPI standard receives more attentions in K-12 online education, we can expect that more research efforts will be input on related topics.

Citation

Chiang, C.F., Tseng, H.C., Chiang, C.C. & Hung, J.L. (2015). A case study on learning analytics using Experience API. In D. Rutledge & D. Slykhuis (Eds.), Proceedings of SITE 2015--Society for Information Technology & Teacher Education International Conference (pp. 2273-2278). Las Vegas, NV, United States: Association for the Advancement of Computing in Education (AACE). Retrieved October 22, 2019 from .

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