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John Dunlosky is a professor of psychology and the director of experimental training at Kent State University. His research focuses on self-regulated learning . Dr. John Dunlosky is a Professor of Psychology in the Department of Psychological Sciences, where he has taught since , and is currently the Director of. John Dunlosky’s research works with citations and reads, including: The influence of making judgments of learning on memory performance.

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Here’s what they found. Learn more about Amazon Prime. New articles related to this author’s research. Two techniques came out as clear winners: Email address for updates. Dunlosky and colleagues concluded that results of studies have been mixed.

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An overview of learning and revision techniques — University of Leicester

Amazon Restaurants Food delivery from local restaurants. General 3, Further resources Related study guides you may find useful: Current Directions in Psychological Science 16 4, The authors of this study examined the techniques in isolation, but there is nothing stopping you combining a number of them within your learning.

Agenda-based regulation of study-time allocation: Navigation Succeed in your studies. The following articles are merged in Scholar.

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The other technique which received a high utility rating from the authors, and links to the previous point about spacing out practice tests, was distributed practice. Eight other techniques were reviewed by the authors.


Low to High Price: Another factor to consider in the choice of a learning technique is the nature of the to-be-remembered material. Are self-testing and scheduling related to achievement?

Personal tools Web Editor Log in. This study guide provides a summary of the findings of a meta study which looked at the effectiveness of different learning techniques. Amazon Inspire Digital Educational Resources. Study strategies of college students: Producing summaries of texts; Highlighting and underlining portions of text; Using keywords and imagery to build associations within memory; And simply rereading the relevant materials.

New citations to this author.

This “Cited by” count includes citations to the following articles in Scholar. Only 3 left in stock – order soon. Psychological Science in the Public Interest 14 1, Interleaving different topics, questions or problems might subsequently provide you with more integrated practice to boost learning in the later nohn.

Similar authors to follow

Age-related differences in absolute but not relative metamemory accuracy. What conclusions should we draw and, more importantly, what learning and revision techniques should we actually use?

Available for download now. So in this case the advice is simple. Does the sensitivity of judgements of learning JOLs to the effects of various study activities depend on when the JOLs occur? Aging and deficits in associative memory: If you are just starting out with a particular type of problem, blocking might provide you with dumlosky space to get to grips with a particular topic.


An analysis of selection of items for study and self-paced study time. Self-explanation refers to a similar process, where the explanation might take the form of answering why but also other questions, as well as relating new information to information which is already known.

When people’s judgments of learning JOLs are extremely accurate at predicting kohn recall: The authors concluded that more research is needed to in relation to both of these techniques, but that they offer promising directions in terms kohn strategies for effective learning.

An overview of learning and revision techniques

But how do we ensure that it is? Shopbop Designer Fashion Brands. Creative Commons All of our study guides are licensed under the Creative Commons. Journal of Experimental Psychology: Examples of this technique include practising recall through flash cards, or completing practice problems or tests. Journal of experimental psychology: Amazon Renewed Refurbished products with a warranty.

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Get to Know Us. Toward a general model of self-regulated study: