Leveraging Module Conditional Release to Support Evidence-Based Practices

Large enrollment, asynchronous online courses pose many teaching and learning challenges. Instructors want to use evidence-based practices like building connections with students, providing personalized support, giving quick feedback on formative assessments, and encouraging student engagement and...

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Main Author: Sarah Johnson
Format: Article
Language:English
Published: Indiana University Office of Scholarly Publishing 2024-12-01
Series:Journal of Teaching and Learning with Technology
Online Access:https://scholarworks.iu.edu/journals/index.php/jotlt/article/view/38225
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author Sarah Johnson
author_facet Sarah Johnson
author_sort Sarah Johnson
collection DOAJ
description Large enrollment, asynchronous online courses pose many teaching and learning challenges. Instructors want to use evidence-based practices like building connections with students, providing personalized support, giving quick feedback on formative assessments, and encouraging student engagement and self-regulation within the course. Yet, large asynchronous online classrooms can make those important evidence-based practices difficult. This Quick-Hit provides a detailed overview of module conditional release, a learning management system tool that can support instructors in achieving these evidence-based practices in large online courses. The application of conditional release and supporting tools and strategies will be discussed alongside a description of how instructors can leverage this technological support to better connect with students, provide personalized support, produce feedback opportunities on formative assessment and encourage student engagement and self-regulation, all at scale.  
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institution Kabale University
issn 2165-2554
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publisher Indiana University Office of Scholarly Publishing
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series Journal of Teaching and Learning with Technology
spelling doaj-art-937ba30229324a98a52850191eb28a5c2025-02-12T04:15:15ZengIndiana University Office of Scholarly PublishingJournal of Teaching and Learning with Technology2165-25542024-12-01131Leveraging Module Conditional Release to Support Evidence-Based Practices Sarah Johnson0a:1:{s:5:"en_US";s:31:"Indiana University Indianapolis";} Large enrollment, asynchronous online courses pose many teaching and learning challenges. Instructors want to use evidence-based practices like building connections with students, providing personalized support, giving quick feedback on formative assessments, and encouraging student engagement and self-regulation within the course. Yet, large asynchronous online classrooms can make those important evidence-based practices difficult. This Quick-Hit provides a detailed overview of module conditional release, a learning management system tool that can support instructors in achieving these evidence-based practices in large online courses. The application of conditional release and supporting tools and strategies will be discussed alongside a description of how instructors can leverage this technological support to better connect with students, provide personalized support, produce feedback opportunities on formative assessment and encourage student engagement and self-regulation, all at scale.   https://scholarworks.iu.edu/journals/index.php/jotlt/article/view/38225
spellingShingle Sarah Johnson
Leveraging Module Conditional Release to Support Evidence-Based Practices
Journal of Teaching and Learning with Technology
title Leveraging Module Conditional Release to Support Evidence-Based Practices
title_full Leveraging Module Conditional Release to Support Evidence-Based Practices
title_fullStr Leveraging Module Conditional Release to Support Evidence-Based Practices
title_full_unstemmed Leveraging Module Conditional Release to Support Evidence-Based Practices
title_short Leveraging Module Conditional Release to Support Evidence-Based Practices
title_sort leveraging module conditional release to support evidence based practices
url https://scholarworks.iu.edu/journals/index.php/jotlt/article/view/38225
work_keys_str_mv AT sarahjohnson leveragingmoduleconditionalreleasetosupportevidencebasedpractices