The Acceptance of Mobile Learning: A Case Study of 3D Simulation Android App for Learning Physics

Abstract

This study investigates the adoption of the mobile learning, 3D simulation Android app, as an innovative tool for learning in physics for high school students. The factors affecting the acceptance of mobile learning are also determined in this study. The proposed research model employs two constructs, Perceived Usefulness and Perceived Ease of Use, from Technology Acceptance Model (TAM) as a baseline and adds another relevant factor based on prior mobile learning adoption research, Perceived Enjoyment. Data are collected through questionnaires distributed to 50 high school students using Google Forms. Structural equation modeling (SEM) is used to analyze and develop the research model. The study finds that Perceived Enjoyment becomes the most influencing factor considered by high school students to use mobile learning, 3D simulation Android app, followed by Perceived Usefulness. However, the Perceived Ease of Use factor does not significantly influence the acceptance of the 3D simulation Android app.

Factors affecting university students switching intention to mobile learning: a push-pull-mooring theory perspective

“…Additionally, if ML as new innovative technology gives the students greater enjoyment in performing their learning activities, they intend to switch to using it. Several authors reported that perceived enjoyment strongly affects students’ intention to adopt ML systems (Pramana, 2018 ; Lisana & Suciadi, 2021 ). Conversely, a study by Rehman et al, ( 2016 ) found that the influence of perceived enjoyment on student behavioral intention was insignificant.…”

“…In this study, the network externalities factor is defined as the extent to which the perceived value of ML increases as the number of users grows (Lisana, 2021 ). It implies that the network’s behavior toward the ML platform positively correlates with students’ acceptance of the platform.…”

“…Several studies provided evidence of how ML may enhance students’ learning achievements and increase their level of knowledge in HEIs (Oyelere et al, 2018 ; Kaliisa et al, 2019 ; Troussas et al, 2020 ). Additionally, university students of this generation appear to be primed for ML, as they are predominantly composed of generation Z who grow up in a technology-savvy environment (Yeap et al, 2016 ; Lisana & Suciadi, 2021 ).…”

“…Another survey from Statista ( 2021a , 2021b ) reported that 67% of those populations (183.7 million) are mobile phone users. In addition, 345.3 million mobile internet connections were available in 2020, exceeding the total population (Lisana, 2021 ; Datareportal, 2021 ). According to the Indonesian Central Bureau of Statistics, generation Z dominated the Indonesian people in 2020, counting 27.94% of the total population (Triyasni, 2021 ).…”

Developing an Android-Based E-Textbook to Improve Learning Media Course Outcomes

“…A comfortable online learning environment can be created by combining mobile technology, contextual learning strategies, and meaningful learning designs (Lisana & Suciadi, 2021;Papadakis & Kalogiannakis, 2019). For example, recent research indicates that the use of Android learning media on mobile devices can provide an effective means of establishing socially interactive and constructivist learning environments (Drolia et al, 2020;Nurhasanah et al, 2022;Papadakis et al, 2020).…”