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Cho, Moon-Heum; Yoo, Jin Soung – Interactive Learning Environments, 2017
Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online…
Descriptors: Online Courses, Self Management, Active Learning, Data Analysis
Kadioglu, Cansel; Uzuntiryaki-Kondakci, Esen – Eurasian Journal of Educational Research, 2014
Problem Statement: Motivation plays an important role in explaining students' academic achievement. In an effort to explain students' purposes for learning and the reasons they engage in a learning activity, different achievement goal models (dichotomous, trichotomous, and 2x2) have been proposed over time. The present study aimed to extend…
Descriptors: Correlation, Learning Strategies, Mastery Learning, High School Students
Hancock, Dawson R. – Active Learning in Higher Education, 2007
This study explored the impact of performance assessment versus traditional paper-and-pencil assessment on graduate students' achievement and motivation to learn while enrolled in a 16-lesson course on program evaluation methods. Students in two sections of the course were exposed to the same content and instructional methods, with one exception:…
Descriptors: Graduate Students, Program Evaluation, Performance Based Assessment, Performance Tests
Bong, Mimi – 1999
Academic self-efficacy beliefs of 204 Korean high school freshmen were solicited in Korean, English, and math by using (a) specific problems, (b) task descriptions, and (c) general statements referring to each domain. Regardless of the assessment specificity, self-efficacy judgments demonstrated certain degrees of generality. Cross-domain…
Descriptors: Academic Achievement, Context Effect, Evaluation Methods, Foreign Countries