Exploratory Analysis in Learning Analytics
David Gibson, Sara de Freitas
Technology, Knowledge and Learning Volume 21, Number 1, ISSN 2211-1662
This article summarizes the methods, observations, challenges and implications for exploratory analysis drawn from two learning analytics research projects. The cases include an analysis of a games-based virtual performance assessment and an analysis of data from 52,000 students over a 5-year period at a large Australian university. The complex datasets were analyzed and iteratively modeled with a variety of computationally intensive methods to provide the most effective outcomes for learning assessment, performance management and learner tracking. The article presents the research contexts, the tools and methods used in the exploratory phases of analysis, the major findings and the implications for learning analytics research methods.
Gibson, D. & de Freitas, S. (2016). Exploratory Analysis in Learning Analytics. Technology, Knowledge and Learning, 21(1), 5-19. Retrieved June 8, 2023 from https://www.learntechlib.org/p/175806/.
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