Before You Dive in: An AI-Enhanced Scaffolding Strategy for Clinician Learners in Graduate Education.

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Title: Before You Dive in: An AI-Enhanced Scaffolding Strategy for Clinician Learners in Graduate Education.
Authors: Jung, Eulho1 (AUTHOR) eulho.jung@usuhs.edu, Samuel, Anita1 (AUTHOR), Merkebu, Jerusalem1 (AUTHOR)
Source: Adult Learning. Aug2026, Vol. 37 Issue 3, p214-220. 7p.
Subject Terms: *Learning readiness, *Self-regulated learning, *Learning theories in education, *Intelligent tutoring systems, *Clinical education, *Graduate education, *Computer assisted instruction, *Concept mapping
Abstract: Clinicians often struggle to engage with abstract learning theories due to limited cognitive readiness and time constraints. To address this challenge in a graduate-level learning theories course, we implemented "Before You Dive In" (BYDI), an AI-supported instructional strategy offering optional pre-reading supports. BYDI included reflective study guides, AI-generated podcasts, and concise reading summaries, all delivered asynchronously to accommodate adult learners' schedules. The intervention aimed to scaffold learners' understanding and foster engagement with dense theoretical content. Learner feedback indicated that BYDI helped activate prior knowledge, reduce cognitive overload, and improve reading focus. Analysis through the lenses of schema development and self-regulated learning suggests that BYDI facilitated the formation of conceptual frameworks and promoted autonomous, strategic study behaviors. This innovation demonstrates how technology-enhanced scaffolding can improve theory engagement in adult education, particularly in time-pressured professional contexts. [ABSTRACT FROM AUTHOR]
Copyright of Adult Learning is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Before You Dive in: An AI-Enhanced Scaffolding Strategy for Clinician Learners in Graduate Education.
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  Data: <searchLink fieldCode="JN" term="%22Adult+Learning%22">Adult Learning</searchLink>. Aug2026, Vol. 37 Issue 3, p214-220. 7p.
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  Data: *<searchLink fieldCode="DE" term="%22Learning+readiness%22">Learning readiness</searchLink><br />*<searchLink fieldCode="DE" term="%22Self-regulated+learning%22">Self-regulated learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Learning+theories+in+education%22">Learning theories in education</searchLink><br />*<searchLink fieldCode="DE" term="%22Intelligent+tutoring+systems%22">Intelligent tutoring systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Clinical+education%22">Clinical education</searchLink><br />*<searchLink fieldCode="DE" term="%22Graduate+education%22">Graduate education</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+assisted+instruction%22">Computer assisted instruction</searchLink><br />*<searchLink fieldCode="DE" term="%22Concept+mapping%22">Concept mapping</searchLink>
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  Data: Clinicians often struggle to engage with abstract learning theories due to limited cognitive readiness and time constraints. To address this challenge in a graduate-level learning theories course, we implemented "Before You Dive In" (BYDI), an AI-supported instructional strategy offering optional pre-reading supports. BYDI included reflective study guides, AI-generated podcasts, and concise reading summaries, all delivered asynchronously to accommodate adult learners' schedules. The intervention aimed to scaffold learners' understanding and foster engagement with dense theoretical content. Learner feedback indicated that BYDI helped activate prior knowledge, reduce cognitive overload, and improve reading focus. Analysis through the lenses of schema development and self-regulated learning suggests that BYDI facilitated the formation of conceptual frameworks and promoted autonomous, strategic study behaviors. This innovation demonstrates how technology-enhanced scaffolding can improve theory engagement in adult education, particularly in time-pressured professional contexts. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Adult Learning is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/10451595261464539
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        Text: English
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      – SubjectFull: Self-regulated learning
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      – SubjectFull: Learning theories in education
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      – TitleFull: Before You Dive in: An AI-Enhanced Scaffolding Strategy for Clinician Learners in Graduate Education.
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              Text: Aug2026
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