The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Effects of peer assessment within the context of spherical video-based virtual reality on EFL students’ English-Speaking performance and learning perceptions
Abstract
Abstract English has been recognized as a means of communication around the globe. However, owing to the lack of realistic English practicing contexts, EFL (English as Foreign Language) students generally have few opportunities to communicate with people in English, not to mention to get feedback from others for making reflections. In this study, a spherical video-based virtual reality (SVVR) environment was developed to situate students in authentic English-speaking contexts; moreover, the peer assessment (PA) strategy was employed for guiding students to provide comments on peers' speaking performance and to make reflections on their own performance. To evaluate the effectiveness of the proposed approach, an experiment was conducted in a high school English course. The experiment results reveal more positive effects of the peer-assessment-based SVVR approach compared with the non-peer-assessment-based SVVR approach in terms of the learners' English speaking, learning motivation, and critical thinking skills, as well as reducing their English learning anxiety. Moreover, it was found that the ratings of the students were statistically correlated with those of the teacher. This study further analyzed the types of peer comments by categorizing them into four types: Praise, Criticism, Opinion, and Irrelevant. It was found that Praise feedback was helpful for the students' English-speaking performance, while Criticism feedback might have been unfavorable in this case. Additionally, Irrelevant feedback was not significantly correlated with the students’ performance in the earlier PA stage, but had a significantly negative correlation in the later stage.
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Hwang, G.-J., & Chien, S.-Y. (2022) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2022.100082 · Cited by 759
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“…vocabulary learning and retention (Lai and Chen, 2021; Tai et al., 2022), enhancing English speaking and willingness to communicate (Ebadi and Ebadijalal, 2020), building ideal 2L self (Adolphs et al., 2018), and improving English learning motivation to reduce anxiety (Chien et al., 2020).”
BackgroundFactors Influencing Students' Behavioral Intention to Continue Artificial Intelligence Learning
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Metadata
- Authors
- Chien, S.-Y., Hwang, G.-J., & Jong, M. S.-Y.
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 146
- Pages
- 103751
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2986776799
- Cited by
- 438
- References
- 63
- FWCI
- 179.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Funders
- Ministry of Science and Technology, Taiwan
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