FACTORS INFLUENCING STUDENT ADOPTION OF DIGITAL STORYTELLING IN A LEARNING MANAGEMENT SYSTEM: EVIDENCE FROM UMS ITEL USING UTAUT

Nur Dina Farhana  Mokhtaruddin; Jackel Vui Lung Chew; Nur Aliyah  Suhaimi; Loveny  Jekul

doi:10.51200/ijelp.v9i1.7468

Authors

Nur Dina Farhana Mokhtaruddin
Jackel Vui Lung Chew +60172622657 https://orcid.org/0000-0002-1195-0955
Nur Aliyah Suhaimi
Loveny Jekul

DOI:

https://doi.org/10.51200/ijelp.v9i1.7468

Keywords:

E-learning, digital storytelling, student perceptions, UTAUT, structural equation modeling

Abstract

Digital Storytelling (DST) is one of the innovative pedagogical approaches that enhances student engagement in the learning process. However, its adoption within the Malaysian university e-learning environment remains underexplored. This study investigates undergraduate students’ perceptions of DST adoption within Universiti Malaysia Sabah's learning management system called iTEL. This study uses the Unified Theory of Acceptance and Use of Technology (UTAUT) as the guiding framework. Throughout this study, a structured survey instrument was developed to examine the influence of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC) on students’ Behavioral Intention (BI) to adopt DST. Data collection was conducted among undergraduate students in the information technology field to explore their perceptions of DST and its adoption in iTEL. The findings revealed that PE significantly influences students’ BI to adopt DST in iTEL. This implies that the usefulness of DST strongly determines students’ intention to use it. In contrast, EE, SI, and FC do not significantly affect students’ BI in adopting DST. These results imply that students’ willingness to adopt DST is primarily driven by their perception of its performance benefits rather than by ease of use, encouragement by peers or lecturers, or institutional and technical support. This study contributes to the understanding of DST adoption within the Malaysian university e-learning environment.

Author Biography

Jackel Vui Lung Chew, +60172622657

Dr. Jackel is a Senior Lecturer in the Faculty of Computing and Informatics at Universiti Malaysia Sabah, where he has been a faculty member since 2019. He completed his PhD and undergraduate studies in the Faculty of Science and Natural Resources at the same university. His research focuses on numerical analysis, statistical modelling and machine learning. He has also contributed to solving both linear and nonlinear fractional PDE problems.

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