Study strategies of college students: Are self-testing and scheduling related to achievement?

Previous studies, such as those by Kornell and Bjork (Psychonomic Bulletin & Review, 14:219–224, 2007) and Karpicke, Butler, and Roediger (Memory, 17:471–479, 2009), have surveyed college students’ use of various study strategies, including self-testing and rereading. These studies have documented that some students do use self-testing (but largely for monitoring memory) and rereading, but the researchers did not assess whether individual differences in strategy use were related to student achievement. Thus, we surveyed 324 undergraduates about their study habits as well as their college grade point average (GPA). Importantly, the survey included questions about self-testing, scheduling one’s study, and a checklist of strategies commonly used by students or recommended by cognitive research. Use of self-testing and rereading were both positively associated with GPA. Scheduling of study time was also an important factor: Low performers were more likely to engage in late-night studying than were high performers; massing (vs. spacing) of study was associated with the use of fewer study strategies overall; and all students—but especially low performers—were driven by impending deadlines. Thus, self-testing, rereading, and scheduling of study play important roles in real-world student achievement.

[1]  Douglas J. Hacker,et al.  Metacognition in educational theory and practice. , 1998 .

[2]  A. C. Butler,et al.  The critical role of retrieval practice in long-term retention , 2011, Trends in Cognitive Sciences.

[3]  J. Byrne Learning and memory : a comprehensive reference , 2008 .

[4]  R. Fowler,et al.  Effectiveness of highlighting for retention of text material. , 1974 .

[5]  Mark A. McDaniel,et al.  The Limited Benefits of Rereading Educational Texts. , 2009 .

[6]  John Limber,et al.  Reading Skill, Textbook Marking, and Course Performance , 2009 .

[7]  W S Maki,et al.  Measuring study time distributions: Implications for designing computer-based courses , 1999, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[8]  M. McDaniel,et al.  2.43 – Cognition, Memory, and Education , 2008 .

[9]  John Dunlosky,et al.  Optimizing schedules of retrieval practice for durable and efficient learning: how much is enough? , 2011, Journal of experimental psychology. General.

[10]  Jeffrey D. Karpicke,et al.  Test-Enhanced Learning , 2006, Psychological science.

[11]  H. P. Bahrick,et al.  Reconstructive processing of memory content for high versus low test scores and grades , 1993 .

[12]  John Dunlosky,et al.  What constrains the accuracy of metacomprehension judgments? Testing the transfer-appropriate-monitoring and accessibility hypotheses , 2005 .

[13]  Walter Kintsch,et al.  Rereading Effects Depend on Time of Test. , 2005 .

[14]  Philip H. Winne,et al.  Studying as self-regulated learning. , 1998 .

[15]  Lynn Hasher,et al.  Optimal Time of Day and the Magnitude of Age Differences in Memory , 1993 .

[16]  Robert A. Bjork,et al.  The promise and perils of self-regulated study , 2007, Psychonomic bulletin & review.

[17]  H. Pashler,et al.  Distributed practice in verbal recall tasks: A review and quantitative synthesis. , 2006, Psychological bulletin.

[18]  J. McCabe Metacognitive awareness of learning strategies in undergraduates , 2011, Memory & cognition.

[19]  Mark A. McDaniel,et al.  Test-Enhanced Learning in a Middle School Science Classroom: The Effects of Quiz Frequency and Placement. , 2011 .

[20]  Jeffrey D. Karpicke,et al.  Metacognitive strategies in student learning: Do students practise retrieval when they study on their own? , 2009, Memory.

[21]  P. Pintrich A Manual for the Use of the Motivated Strategies for Learning Questionnaire (MSLQ). , 1991 .