Data Mining as an Emerging Means of Assessing Student Learning

Added by the EDUCAUSE Librarian
Title:Data Mining as an Emerging Means of Assessing Student Learning (ID: EDU07069)
Author(s):Chris Dede (Harvard Graduate School of Education) and Jody Clarke (Harvard University)
Topics:Assessment and Evaluation, Data Mining, EDUCAUSE2007, Learning, Outcomes Assessment, Students
Origin:Presented at EDUCAUSE Annual Conferences (10/23/2007)
Type:Presentations/Speeches
Abstract:

Routine in business, data mining has unrealized potential in education. Sophisticated educational media enable the collection of rich data streams about individual learners. Analyzing these data streams could yield formative, diagnostic information about student performance (including real-time feedback to teachers) and research findings about student behavior and learning. Session presenters will share their work exploring the educational potentials of data mining.

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