{"title":"Mechanisms to prepare for future learning: A think-aloud study","authors":"Katharina Ockl, Inga Glogger-Frey","doi":"10.1016/j.learninstruc.2025.102309","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Preparation-for-learning is expected to foster learning-relevant cognitive processes to prepare learners for subsequent instruction. Various degrees of generation can prepare learners differently through such cognitive mechanisms. Open-problem-solving can make learners more aware of knowledge gaps, while self-explaining a solution of the same problem can help learners to process relevant learning content more deeply.</div></div><div><h3>Aims</h3><div>This study compares the cognitive processes during different forms of preparation and their influence on learning outcomes.</div></div><div><h3>Sample</h3><div>135 undergraduate psychology students participated in this study.</div></div><div><h3>Methods</h3><div>Participants were randomly assigned to a preparation condition and either invented a solution (inventing, <em>n</em> = 66) or self-explained a worked-out solution (worked example, <em>n</em> = 69). While working on the preparation task, participants were asked to think aloud. The cognitive process variables 'expressed knowledge gaps' and 'deep feature processing' were coded. After the preparation phase, participants watched an instructional video and completed a post-test targeting near and far transfer.</div></div><div><h3>Results</h3><div>Students who self-explained a worked example processed deep features more deeply, which in turn had a positive effect on near transfer, but not on far transfer. Conversely, students expressed more knowledge gaps while inventing, but more expressed knowledge gaps revealed no effect on either near or far transfer. Overall, self-explaining a worked example led to better far transfer, but not to better near transfer.</div></div><div><h3>Conclusion</h3><div>This study shows that a worked example can prepare learners for far transfer, and deep-feature processing even mediates outcomes in part. The various preparation activities foster different cognitive mechanisms.</div></div>","PeriodicalId":48357,"journal":{"name":"Learning and Instruction","volume":"102 ","pages":"Article 102309"},"PeriodicalIF":5.7000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Learning and Instruction","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959475225002336","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/27 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Preparation-for-learning is expected to foster learning-relevant cognitive processes to prepare learners for subsequent instruction. Various degrees of generation can prepare learners differently through such cognitive mechanisms. Open-problem-solving can make learners more aware of knowledge gaps, while self-explaining a solution of the same problem can help learners to process relevant learning content more deeply.
Aims
This study compares the cognitive processes during different forms of preparation and their influence on learning outcomes.
Sample
135 undergraduate psychology students participated in this study.
Methods
Participants were randomly assigned to a preparation condition and either invented a solution (inventing, n = 66) or self-explained a worked-out solution (worked example, n = 69). While working on the preparation task, participants were asked to think aloud. The cognitive process variables 'expressed knowledge gaps' and 'deep feature processing' were coded. After the preparation phase, participants watched an instructional video and completed a post-test targeting near and far transfer.
Results
Students who self-explained a worked example processed deep features more deeply, which in turn had a positive effect on near transfer, but not on far transfer. Conversely, students expressed more knowledge gaps while inventing, but more expressed knowledge gaps revealed no effect on either near or far transfer. Overall, self-explaining a worked example led to better far transfer, but not to better near transfer.
Conclusion
This study shows that a worked example can prepare learners for far transfer, and deep-feature processing even mediates outcomes in part. The various preparation activities foster different cognitive mechanisms.
期刊介绍:
As an international, multi-disciplinary, peer-refereed journal, Learning and Instruction provides a platform for the publication of the most advanced scientific research in the areas of learning, development, instruction and teaching. The journal welcomes original empirical investigations. The papers may represent a variety of theoretical perspectives and different methodological approaches. They may refer to any age level, from infants to adults and to a diversity of learning and instructional settings, from laboratory experiments to field studies. The major criteria in the review and the selection process concern the significance of the contribution to the area of learning and instruction, and the rigor of the study.