Applying ARCS model for enhancing and sustaining learning motivation in using robot as teaching assistant

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Abstract

Although many researchers have pointed out that educational robots can stimulate learners' learning motivation, learning motivation will be inevitably decreased over time if the amusement just came from the new technology itself. Accordingly, learners must be well guided by suitable instructional strategies to gain the enhancement and sustainability of the learning motivation. In other words, it still requires adopting suitable instructional strategies so as to enhance and sustain their learning motivation even if introducing educational robots to learners can stimulate learning motivation at the beginning. This paper presents a preliminary experiment result to explore if the instructional strategy of integrating robot teaching assistant (RTA) with ARCS model can enhance and sustain learning motivation. The result from the pilot experiment showed that the test group learners had potential to outperform the control group learners in terms of enhancement and sustainability of learning motivation and learning performance. © 2011 Springer-Verlag.

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Hung, I. C., Lee, L., Chao, K. J., & Chen, N. S. (2011). Applying ARCS model for enhancing and sustaining learning motivation in using robot as teaching assistant. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6872 LNCS, pp. 334–341). https://doi.org/10.1007/978-3-642-23456-9_61

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