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Using Kern's Method to Develop Asynchronous Elearning for the Clinical Curriculum: One Facility's Experience.

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Title: Using Kern's Method to Develop Asynchronous Elearning for the Clinical Curriculum: One Facility's Experience.
Authors: Bradley, Jonathan1, Johnson, Jessica1, Mejia, Guadalupe1, Staley, Lara Pedretti1
Source: Optometric Education. Fall2025, Vol. 51 Issue 1, p3-14. 12p.
Subject Terms: *Asynchronous learning, *Instructional systems design, *Critical thinking, *Clinical education, *Bloom's taxonomy, *Information technology, *Cognitive load
Abstract: The authors present their experience using Kern's Six Step Process in developing an asynchronous elearning module targeting gaps in foundational knowledge at an early stage in the clinical rotation. Toward the goal of increasing efficiency in the learners' mastery of critical RNFL Thickness OCT analysis, learners showed improvement on the post-test of foundational concepts as part of the formal needs assessment and provided positive feedback. The process and concept are analyzed in relation to contemporary educational theory including critical thinking in clinical reasoning, Bloom's taxonomy of cognitive development, and cognitive load. This process could be upscaled to target more concepts for learners throughout the world by developing a web-based delivery application. For context, the pretest and video portion of the learning module are presented. [ABSTRACT FROM AUTHOR]
Copyright of Optometric Education is the property of Association of Schools & Colleges of Optometry 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.)
Database: Education Research Complete
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  Data: <searchLink fieldCode="JN" term="%22Optometric+Education%22">Optometric Education</searchLink>. Fall2025, Vol. 51 Issue 1, p3-14. 12p.
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  Data: *<searchLink fieldCode="DE" term="%22Asynchronous+learning%22">Asynchronous learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Instructional+systems+design%22">Instructional systems design</searchLink><br />*<searchLink fieldCode="DE" term="%22Critical+thinking%22">Critical thinking</searchLink><br />*<searchLink fieldCode="DE" term="%22Clinical+education%22">Clinical education</searchLink><br />*<searchLink fieldCode="DE" term="%22Bloom's+taxonomy%22">Bloom's taxonomy</searchLink><br />*<searchLink fieldCode="DE" term="%22Information+technology%22">Information technology</searchLink><br />*<searchLink fieldCode="DE" term="%22Cognitive+load%22">Cognitive load</searchLink>
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  Data: The authors present their experience using Kern's Six Step Process in developing an asynchronous elearning module targeting gaps in foundational knowledge at an early stage in the clinical rotation. Toward the goal of increasing efficiency in the learners' mastery of critical RNFL Thickness OCT analysis, learners showed improvement on the post-test of foundational concepts as part of the formal needs assessment and provided positive feedback. The process and concept are analyzed in relation to contemporary educational theory including critical thinking in clinical reasoning, Bloom's taxonomy of cognitive development, and cognitive load. This process could be upscaled to target more concepts for learners throughout the world by developing a web-based delivery application. For context, the pretest and video portion of the learning module are presented. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Optometric Education is the property of Association of Schools & Colleges of Optometry 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=191625497
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              Text: Fall2025
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