Abstract

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.

Citation

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/.

This record was imported from ERIC on January 10, 2019. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.

Keywords

• College Students
• Computer Assisted Testing
• Data Analysis
• Data Collection
• Discovery Processes
• Educational Research
• Foreign Countries
• games
• Observation
• PERFORMANCE BASED ASSESSMENT
• Performance Tests
• Research Methodology
• Research Projects