Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Vanessa Chiang"'
Publikováno v:
Educational Technology & Society, Vol 27, Iss 2, Pp 347-385 (2024)
Generative Artificial Intelligence (AI), especially machine learning models that autonomously generate human-like content, has recently attracted significant attention in the education sector. This paper explores the potential of generative AI, inclu
Externí odkaz:
https://doaj.org/article/a43bec01c529440987baa91e89368a59
Publikováno v:
Educational Technology & Society, Vol 26, Iss 3, Pp 84-100 (2023)
Understanding the obstacles and causes students faced while learning with new technologies is the key to inform effective instructional designs. To achieve this aim, this study conducted a qualitative video analysis on language learners’ observable
Externí odkaz:
https://doaj.org/article/9b026bef108c4947a76f673fdcdd3ccb
Autor:
I-Chun Hung, Shih-Chieh Wang, Yueh-Hui Vanessa Chiang, Junfeng Yang, Kinshuk, Nian-Shing Chen
Publikováno v:
Smart Learning Environments, Vol 6, Iss 1, Pp 1-24 (2019)
Abstract Training efficiency is important for functional fitness training because it assures the trainees receive appropriate training to meet their needs of skill formation. With the support of technologies, the functional fitness training process c
Externí odkaz:
https://doaj.org/article/17c0c692e3a748d7a77332b149f0a1bc
Publikováno v:
International Review of Pragmatics. 13:125-152
Hēi diào ‘to turn black’ (黑掉) denotes a change-of-state meaning, but in social media, it has a special pragmatic use that emphasizes “bad consequences” following an uncooperative act, whether right or wrong. This metaphorical and new tr
Publikováno v:
2022 International Conference on Advanced Learning Technologies (ICALT).
Publikováno v:
ICALT
This study conducted a cross-classified multilevel analysis of undergraduate students’ peer-/self-assessment scores in a collaborative learning environment. The analysis intended to investigate group, rater and ratee effects on the peer-/self-asses
Publikováno v:
ICALT
This paper reports an analysis of elementary school students’ learning process as they participate in English learning activities using educational robots and IoT-based toys. Grounded on Vygotsky’s notion of zone of proximal development, the anal
Autor:
Kinshuk, Shih-Chieh Wang, Nian-Shing Chen, Yueh-Hui Vanessa Chiang, I-Chun Hung, Junfeng Yang
Publikováno v:
Smart Learning Environments, Vol 6, Iss 1, Pp 1-24 (2019)
Training efficiency is important for functional fitness training because it assures the trainees receive appropriate training to meet their needs of skill formation. With the support of technologies, the functional fitness training process can be ada
Publikováno v:
IIAI-AAI
This paper reports a pilot study of an ongoing project focusing on analyzing learners' social behavioral cues as learners interact with an English learning environment constructed by language learning robots and IoT based toys. In accordance with Vyg
Publikováno v:
Physical Education Journal; 2020, Vol. 53 Issue 2, p161-178, 18p