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Simms, Kathryn – Journal of Instructional Pedagogies, 2021
This study takes a step toward using data-driven instruction (i.e., using data to guide instructional choices) in the accounting classroom: Evaluating which students are most likely to struggle in the first course of accounting. More specifically, it evaluates the correlations between four constructs (i.e., academic background, grit, attendance,…
Descriptors: Data Use, Decision Making, Introductory Courses, Accounting
Rodriguez, David B. – ProQuest LLC, 2013
Employing a non-experimental, ex-post facto design, the study examined the relationship of student demographic information and internal characteristics identified from the Learning and Study Strategies Inventory (LASSI) to student persistence, grade point average, and academic success. Cognitive Learning Theory (CLT), which focuses on the internal…
Descriptors: Statistical Analysis, Correlation, Academic Persistence, Academic Achievement
Healy, Megan – ProQuest LLC, 2012
With a large global, national, state, and local drive for post-secondary credentials, higher education institutes are exploring new retention and graduation strategies to meet the needs of the employers and employees. Many students who are unprepared for college level work will enter a community college to take developmental courses. Developmental…
Descriptors: Learning Strategies, College Mathematics, Community Colleges, Academic Persistence
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Lens, Willy; Lacante, Marlies; Vansteenkiste, Maarten; Herrera, Dora – European Journal of Psychology of Education, 2005
In order to understand and predict students' achievement and persistence at learning activities, many contemporary motivational models consider how much students are motivated for their school work. However, students' achievement and persistence might not only be affected by their amount of study motivation, but also by the motivation to engage in…
Descriptors: Persistence, Leisure Time, Academic Achievement, Student Motivation