2016
DOI: 10.1016/j.econedurev.2015.12.002
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Knowledge decay between semesters

Abstract: Abstract:Summer learning loss has been widely studied in K-12 schooling, where the literature finds a range of results. This study provides the first evidence of summer learning loss in higher education. We analyze college students taking sequential courses with some students beginning the sequence in the fall semester and others in the spring. Those beginning in the fall experience a shorter break between the courses. We test whether the length of that gap explains the students' performance in the subsequent … Show more

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Cited by 11 publications
(2 citation statements)
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“…This sequential learning framework discussed in Shmanske (1988) has been used throughout the last several decades as a way to understand faculty value-added on student learning (see Weinberg et al (2009) and Hoffmann and Oreopoulos (2009)). While the length of time one might expect the material to be carried into follow-on courses varies by discipline (Dills et al (2016)), across disciplines subsequent course performance is a commonly used empirical strategy to identify teaching effectiveness.…”
Section: Teacher Value-addedmentioning
confidence: 99%
“…This sequential learning framework discussed in Shmanske (1988) has been used throughout the last several decades as a way to understand faculty value-added on student learning (see Weinberg et al (2009) and Hoffmann and Oreopoulos (2009)). While the length of time one might expect the material to be carried into follow-on courses varies by discipline (Dills et al (2016)), across disciplines subsequent course performance is a commonly used empirical strategy to identify teaching effectiveness.…”
Section: Teacher Value-addedmentioning
confidence: 99%
“…However, many students commence university only having mastered surface learning techniques, resulting in an erosion of learning and decay of knowledge/ learning loss between semesters (Dills et al, 2016). To combat this, assessments should be designed to encourage students to develop deep learning approaches to maximise knowledge retention for application in the subsequent subjects in the next semesters.…”
Section: Introductionmentioning
confidence: 99%