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Students' Learning Experiences in a Hyflex Learning Environment.

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Title: Students' Learning Experiences in a Hyflex Learning Environment.
Authors: Mohd Razali, Nurul Amirah1 nurul.amirah@graduate.utm.my, Tasir, Zaidatun2 p-zaida@utm.my
Source: International Journal of Instruction. Jul2025, Vol. 18 Issue 3, p457-484. 28p.
Subject Terms: *Open learning, *Effective teaching, *Blended learning, *Cognitive styles, *Teaching methods
Abstract: Hybrid flexible (HyFlex) learning, which integrates in-person and online formats, offers flexibility and adaptability to diverse learning styles, positively influencing academic performance, student retention, and attitudes toward teaching. Despite its benefits, limited research exists on students' experiences within this framework. This study investigated postgraduate students' learning experiences in HyFlex environments, focusing on course content, technology effectiveness, learning modes, and instructor roles. It aimed to identify effective teaching practices and gather student suggestions for improving interaction and collaboration. Using a survey-based quantitative approach, data from 76 postgraduate students were analysed through descriptive and thematic methods. Findings revealed positive learning experiences, with effective teaching practices including clear communication, interactive engagement, knowledgeable instructors, flexible learning modes, and varied methods. Suggestions for improvement emphasized enhancing both technical and pedagogical aspects. This study underscores HyFlex's potential to deliver engaging educational experiences and provides actionable insights for optimizing its implementation, contributing to the expanding field of HyFlex education research. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Instruction is the property of International Journal of Instruction 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: Students' Learning Experiences in a Hyflex Learning Environment.
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  Data: Hybrid flexible (HyFlex) learning, which integrates in-person and online formats, offers flexibility and adaptability to diverse learning styles, positively influencing academic performance, student retention, and attitudes toward teaching. Despite its benefits, limited research exists on students' experiences within this framework. This study investigated postgraduate students' learning experiences in HyFlex environments, focusing on course content, technology effectiveness, learning modes, and instructor roles. It aimed to identify effective teaching practices and gather student suggestions for improving interaction and collaboration. Using a survey-based quantitative approach, data from 76 postgraduate students were analysed through descriptive and thematic methods. Findings revealed positive learning experiences, with effective teaching practices including clear communication, interactive engagement, knowledgeable instructors, flexible learning modes, and varied methods. Suggestions for improvement emphasized enhancing both technical and pedagogical aspects. This study underscores HyFlex's potential to deliver engaging educational experiences and provides actionable insights for optimizing its implementation, contributing to the expanding field of HyFlex education research. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Instruction is the property of International Journal of Instruction 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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