Applying the ARCS Motivation Theory for the Assessment of AR Digital Media Design Learning Effectiveness
This research adopts Keller’s ARCS motivation theory as a method to create a teaching experiment by integrating augmented reality (AR) into teaching in order to enhance learning interest and learning effectiveness in a digital media design course. The purpose of this research is to examine the appli...
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Formato: | article |
Lenguaje: | EN |
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MDPI AG
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/1cde22a6aedb48ee80ba17724a6961bd |
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Sumario: | This research adopts Keller’s ARCS motivation theory as a method to create a teaching experiment by integrating augmented reality (AR) into teaching in order to enhance learning interest and learning effectiveness in a digital media design course. The purpose of this research is to examine the application of AR in quarantine during the COVID-19 pandemic, whereby students can enhance their learning interest, learning satisfaction, and learning performance. Augmented reality acts as a tool for this research, wherein it is applied with the course of a 3D model-based interface and built-in learning contexts for the “digital media design” of the learning topics. The learning performance of the test group students was examined through the aspects of attention, relevance, confidence, and satisfaction, according to the ARCS motivation theory. According to the results of quantitative validation, experimental teaching with AR is more effective than traditional teaching methods. The learning feedback of the test group students obtained a positive result by using the AR. This research concludes with three results: firstly, integrating AR into teaching can improve students’ concentration with respect to digital media design practice; secondly, video teaching with an AR interface can help increase students’ confidence in digital media design learning; lastly, applying AR during the learning process can enhance the digital media visual effects that effectively enhance students’ self-learning abilities. |
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