2026 ASEE Annual Conference & Exposition

Making Online Asynchronous Class Effective and Successful: A Through Investion with Flipped Classroom Model

Presented at Continuing, Professional, and Online Education Division (CPOED) Technical Session 2

With the growing demand for flexible and accessible education, online learning has become an essential component of academic programs, particularly for remote and working students. However, traditional online instruction often lacks the interaction and engagement found in face-to-face settings. Synchronous sessions can be ineffective for working learners due to scheduling conflicts, and once live classes conclude, students lose access to instructor explanations and real-time feedback. To address these challenges, this study explores the effectiveness of a flipped classroom model in improving online learning experiences. The flipped classroom approach incorporates pre-recorded video lectures for each module, weekly live discussions, periodic quizzes, quarterly assignments, and two major examinations. The study focuses on four key research questions: (1) How does the flipped classroom support student learning in a remote environment? (2) How convenient is this model for students to follow course materials? (3) How does it affect student motivation? and (4) What challenges do students face in online learning, and how does the flipped approach mitigate them? The study was conducted with twenty students enrolled in an online course. Pre- and post-surveys measured learning efficiency, course content quality, instructional effectiveness, and multimedia quality. A comprehensive quantitative analysis was performed to evaluate the results and summarize key findings.

Authors

Dr. Md Fashiar Rahman http://orcid.org/0000-0002-0437-2587 University of Texas at El Paso [biography]

Dr. Md Fashiar Rahman is an Assistant Professor of the Industrial, Manufacturing and Systems Engineering (IMSE) Department at The University of Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and computer simulation for industrial and healthcare applications. In addition, Dr. Rahman has taught various engineering courses in industrial and manufacturing engineering. His research area covers advanced quality technology, AI application in smart manufacturing, health care applications, computational intelligence/data analytics, and decision support systems.
Prof. Tzu-liang Bill Tseng http://orcid.org/0000-0002-3903-529X University of Texas at El Paso [biography]

Dr. Bill Tseng is a Professor and Chair of Department of Industrial, Manufacturing and Systems Engineering at the UTEP. He is also a Director of Research Institute for Manufacturing & Engineering Systems, the host institute of Texas Manufacturing Assistan
Jakia Sultana University of Texas at El Paso [biography]

PhD candidate in STEM Education at The University of Texas at El Paso, focused on developing and integrating effective methodologies and classroom practices to enhance STEM education for minority and underrepresented students. Experienced Research Associate contributing to interdisciplinary projects in curriculum development, assessment design, and STEM learning improvement. Skilled in qualitative, quantitative, and mixed-methods research. Committed to advancing inclusive education, strengthening support for underserved learners, and fostering innovation that bridges research with effective classroom practice.

Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 21, 2026, and to all visitors after the conference ends on June 24, 2026

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