An Innovative Multimodal Learning System Based on Robot and Tangible Objects for Chinese Numeral-Classifier-Noun Phrase Learning
Fu-Hui Hsu, Yu-Tang Hsueh, Wei‐Lun Chang, Yen-Ting Lin, Yu‐Ju Lan, Nian‐Shing Chen
- Year
- 2022
- Citations
- 3
Abstract
Learning Chinese Numeral-Classifier-Noun (NCN) phrases is one of the most challenging tasks for Chinese language learners. In this study, we developed learning applications based on a multimodal robot and IoT tangible objects (R&T) learning system to help Chinese language learners, adopting technologies suiting language learning, and implementing instructional design by professional Chinese language teachers. This study adopted the ASSURE model to develop and investigate the effect of the learning system and applications. Participants were divided into two groups: learning after a human teacher and learning with the R&T learning system. Findings from Table 1 show that learning Chinese NCN Phrases with the R&T learning system is comparable to the human teacher. This study contributes to Chinese language teaching and learning by providing an alternative method for Chinese language learners learning Chinese NCN phrases or a teaching assistant system for Chinese language teachers.
Keywords
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