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The what, how much, and when of study strategies: comparing intended versus actual study behaviour.
Abstract
The study behaviours of students can be assessed from several perspectives, such as what study strategies are used, the total number of hours of study, and the distribution of studying over time. Here, we present the results of a survey study that considered each of these perspectives by asking students to report the what, how much, and when of their study behaviours over the course of a semester. As important, to better understand students' use of study strategies, we also had students report at the beginning of the semester how they intended to study and their beliefs about the effectiveness of a variety of common strategies. Our results indicate that during the semester, students rely on relatively ineffective strategies and mass their studying the day or two before an exam. However, students intended to begin studying earlier and to use a mix of effective and ineffective study habits. Despite their use of some ineffective strategies, they did have a relatively accurate assessment of which strategies were less versus more effective. Taken together, our results suggest that students have some excellent intentions but may falter because massing study the evening before an exam limits their use of more effective study strategies.
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“Teachers’ knowledge of effective study strategies is also lacking (Morehead et al., 2016; Blasiman et al., 2017).”
From How Study Environments Foster Academic Procrastination: Overview and Recommendations (2020) · cites this paper as Blasiman et al., 2017
In the citing paper
“But if you ask college students, who are fairly sophisticated learners, how to best learn new information, their answers suggest that they do not appreciate this fact (Blasiman et al. 2017, Karpicke et al. 2009, Kornell & Bjork 2007, McCabe 2011).”
From Practicing Retrieval Facilitates Learning (2021) · cites this paper as Blasiman et al. 2017
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“Moreover, along with the fact that students report rereading their notes more than any other strategy, students’ use of notes during study puts a premium on quality notetaking – another skill that students are not particularly adept at (e.g., Kobayashi, 2005).”
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Metadata
- Authors
- Blasiman, R. N., Dunlosky, J., & Rawson, K. A.
- Affiliations
- Kent State University (US)
- Corresponding author
- Blasiman, Rachael N.
- Venue
- Memory
- Publisher
- Informa UK Limited
- Published
- 2016-08-25
- Volume
- 25
- Issue
- 6
- Pages
- 784-792
- ISSN
- 0965-8211 (ISSN-L)
- 1464-0686
- OpenAlex
- W2512976318
- Cited by
- 227
- References
- 20
- Citations by year
- 2026: 17 · 2025: 29 · 2024: 34 · 2023: 34 · 2022: 32 · 2021: 22 · 2020: 38 · 2019: 8 · 2018: 9 · 2017: 3 · 2016: 1
- FWCI
- 4.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Memory (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Social Sciences › Education › Educational Outcomes and Influences
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Keywords
- study habits, study time allocation, procrastination, massed practice, spaced practice, student self-regulation, student intention, academic performance
- MeSH terms
- Adolescent, Adult, Educational Measurement, Female, Humans, Male, Middle Aged, Practice, Psychological, Students, Intention, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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