@inproceedings{0ecc5393776742e58978860d6a5e64c2,
title = "An Innovative Multimodal Learning System Based on Robot and Tangible Objects for Chinese Numeral-Classifier-Noun Phrase Learning",
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 = "ASSURE, CAL, Chinese, RALL, classifier",
author = "Hsu, {Fu Hui} and Hsueh, {Yu Tang} and Chang, {Wei Lun} and Lin, {Yen Ting R.} and Lan, {Yu Ju} and Chen, {Nian Shing}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 22nd International Conference on Advanced Learning Technologies, ICALT 2022 ; Conference date: 01-07-2022 Through 04-07-2022",
year = "2022",
doi = "10.1109/ICALT55010.2022.00072",
language = "English",
series = "Proceedings - 2022 International Conference on Advanced Learning Technologies, ICALT 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "221--223",
editor = "Maiga Chang and Nian-Shing Chen and Mihai Dascalu and Sampson, {Demetrios G} and Ahmed Tlili and Stefan Trausan-Matu",
booktitle = "Proceedings - 2022 International Conference on Advanced Learning Technologies, ICALT 2022",
}