Download full textERIC Number: ED539075
Record Type: Non-Journal
Publication Date: 2009-Jul
Pages: 10
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
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Available Date: N/A
Student Consistency and Implications for Feedback in Online Assessment Systems
Madhyastha, Tara M.; Tanimoto, Steven
International Working Group on Educational Data Mining, Paper presented at the International Conference on Educational Data Mining (EDM) (2nd, Cordoba, Spain, Jul 1-3, 2009)
Most of the emphasis on mining online assessment logs has been to identify content-specific errors. However, the pattern of general "consistency" is domain independent, strongly related to performance, and can itself be a target of educational data mining. We demonstrate that simple consistency indicators are related to student outcomes, and suggest how consistency might be used in an online assessment framework to provide scaffolding to help students in need. (Contains 2 figures and 2 tables.) [For the complete proceedings, "Proceedings of the International Conference on Educational Data Mining (EDM) (2nd, Cordoba, Spain, July 1-3, 2009)," see ED539041.]
Descriptors: Web Based Instruction, Computer Assisted Testing, Computer Software, Computer Science Education, Artificial Intelligence, Computer Graphics, Predictor Variables, Data, Information Retrieval, Data Analysis, Educational Indicators, Educational Assessment, Educational Strategies, Educational Policy, College Students, College Instruction, Scaffolding (Teaching Technique), Formative Evaluation, Laboratories, Cognitive Processes, Misconceptions, Feedback (Response)
International Working Group on Educational Data Mining. Available from: International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: http://www.educationaldatamining.org
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: International Working Group on Educational Data Mining
Identifiers - Location: Washington
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