RESEARCH PAPER
Empowering vocational students: Exploring mobile learning for sustainable high-level cognition in authentic contexts
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1
Master of Educational Technology, Universitas Pelita Harapan, Tangerang, INDONESIA
2
Department of Electrical Engineering, National Dong Hwa University, Hualien, TAIWAN
3
Graduate Institute of Network Learning Technology, National Central University, Taoyuan City, TAIWAN
Publication date: 2024-08-06
EURASIA J. Math., Sci Tech. Ed 2024;20(8):em2491
KEYWORDS
ABSTRACT
Early studies show that learning with mobile devices, also known as mobile learning, improves
students’ learning in authentic contextual learning–i.e., learning connected to the real world.
However, no empirical evidence has yet to firmly prove the effects of mobile technology on
specific student skillsets such as learning scalability which means learning can be applied in
various scenarios and learning sustainability which means learning can be sustained in real-world
environments. Therefore, this study aims to explore the effect of learning using a mobile app
called mobile Smart-Physics on learning cognitive levels, learning scalability (e.g., number of
learning locations and number of experimental data), and learning sustainability (e.g., number of
completed assignments). Eleventh-grade vocational high school students volunteered for this
quasi-experiment and were divided into an experimental group (EG), which used Smart-Physics,
and a control group (CG), which used a mobile Ubiquitous-Physics (U-Physics) app. The findings
show that the EG significantly outperformed the CG concerning learning cognitive levels, learning
scalability and learning sustainability. Smart-Physics features enabled the students to tackle
technical and pedagogical difficulties during physical investigations in real-world environments
and, in some cases, improved their task accomplishment and sustained their motivation to learn.
Location awareness promoted the students’ authentic experiential learning, which sharpened their
ability to apply learning in real-world environments and upload more experimental data. Feedback
helped the students consolidate their physics theories and practical experiences, thereby
generating more learning records with meaningful multimedia content like experimental graphs,
tables, and notes in various learning locations. Therefore, we encourage practitioners to use smart
learning environment features in their learning tools and activity designs.
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