Development and Validation of the Minnesota Inference Assessment
Autor: | Panayiota Kendeou, Jasmine Kim, Susan C. Slater, Kristen L. McMaster, Reese Butterfuss, Okan Bulut |
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Rok vydání: | 2020 |
Předmět: |
business.industry
05 social sciences Measure (physics) 050301 education Inference Machine learning computer.software_genre 050105 experimental psychology Education Comprehension General Health Professions Developmental and Educational Psychology 0501 psychology and cognitive sciences Artificial intelligence business Psychology 0503 education computer |
Zdroj: | Assessment for Effective Intervention. 47:47-52 |
ISSN: | 1938-7458 1534-5084 |
DOI: | 10.1177/1534508420937781 |
Popis: | The overall aim of the current investigation was to develop and validate the initial version of the Minnesota Inference Assessment (MIA). MIA is a web-based measure of inference processes in Grades K–2. MIA leverages the affordances of different media to evaluate inference processes in a nonreading context, using age-appropriate fiction and nonfiction videos coupled with questioning. We evaluated MIA’s technical adequacy in a proof-of-concept study. Taken together, the results support the interpretation that MIA shows promise as a valid and reliable measure of inferencing in a nonreading context for students in Grades K–2. Future directions involve further development of multiple, parallel forms that can be used for progress monitoring in K–2. |
Databáze: | OpenAIRE |
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