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Wise, Steven L.; Kingsbury, G. Gage – Applied Measurement in Education, 2022
In achievement testing we assume that students will demonstrate their maximum performance as they encounter test items. Sometimes, however, student performance can decline during a test event, which implies that the test score does not represent maximum performance. This study describes a method for identifying significant performance decline and…
Descriptors: Achievement Tests, Performance, Classification, Guessing (Tests)
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Liyanage, Indika; Bartlett, Brendan John – Language Learning Journal, 2012
Research on language learning strategies (LLS) has pointed to a significant association at a general level between learners' gender and their choice of LLS. To explore this generality further, we conducted a study on gender and strategy use with Sri Lankan learners (N = 886) of English as a second language (ESL) in five different learning…
Descriptors: Speech Communication, English (Second Language), Learning Strategies, Gender Differences
Janowiak, John – American Journal of Health Education, 2009
The instructional approach used in this teaching idea involves high-level cognitive and affective learning rather than passive learning through lecture, which often is the traditional, and ineffective, approach for students being educated about drugs. Objectives: At the conclusion of this drug education teaching strategy, students will be able to:…
Descriptors: Drug Education, Drug Abuse, Teaching Methods, Cognitive Processes
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis