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ERIC Number: EJ864189
Record Type: Journal
Publication Date: 2009
Pages: 6
Abstractor: As Provided
Reference Count: N/A
ISSN: ISSN-0191-491X
Automatic Item Generation of Probability Word Problems
Holling, Heinz; Bertling, Jonas P.; Zeuch, Nina
Studies in Educational Evaluation, v35 n2-3 p71-76 Jun-Sep 2009
Mathematical word problems represent a common item format for assessing student competencies. Automatic item generation (AIG) is an effective way of constructing many items with predictable difficulties, based on a set of predefined task parameters. The current study presents a framework for the automatic generation of probability word problems based on templates that allow for the generation of word problems involving different topics from probability theory. It was tested in a pilot study with N = 146 German university students. The items show a good fit to the Rasch model. Item difficulties can be explained by the Linear Logistic Test Model (LLTM) and by the random-effects LLTM. The practical implications of these findings for future test development in the assessment of probability competencies are also discussed. (Contains 2 figures and 2 tables.)
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Germany