The VR-AI–Assisted Simulation for Content Knowledge Application in Pre-Service EFL Teacher Training.
Saved in:
| Title: | The VR-AI–Assisted Simulation for Content Knowledge Application in Pre-Service EFL Teacher Training. |
|---|---|
| Authors: | Pitura, Joanna1 (AUTHOR) joanna.pitura@uken.krakow.pl, Kaplan-Rakowski, Regina2 (AUTHOR) Regina.Kaplan-Rakowski@unt.edu, Asotska-Wierzba, Yuliya1 (AUTHOR) yuliya.asotska-wierzba@uken.krakow.pl |
| Source: | TechTrends: Linking Research & Practice to Improve Learning. Jan2025, Vol. 69 Issue 1, p100-110. 11p. |
| Subject Terms: | *Career development, *Student teachers, *Artificial intelligence, *Teacher training, Cognitive flexibility |
| Abstract: | Pre-service teachers (PSTs) of English as a Foreign Language (EFL) need extensive training, preparing them for challenges encountered in real classrooms. Such challenges include presenting the target content knowledge in front of the class and promptly responding to students' questions on the content. High-immersion virtual reality (VR) is increasingly seen as technology facilitating teacher training. When integrated with Artificial Intelligence (AI), VR simulations can enhance teacher education by providing real-world practice opportunities. Drawing on cognitive flexibility theory (CFT), this case study investigated how pre-service EFL teachers (N = 17) in Poland interpret the VR-AI–assisted simulation designed to facilitate their content knowledge application. The results suggest that such simulations are valuable for professional development and reflective practice regarding content knowledge in pre-service EFL teacher training. The findings contribute to the broader understanding of the integration of VR and AI technology in language teachers' training programs aiming to support the application of content knowledge in real-life classrooms. [ABSTRACT FROM AUTHOR] |
| Copyright of TechTrends: Linking Research & Practice to Improve Learning is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: ehh DbLabel: Education Research Complete An: 182468368 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: The VR-AI–Assisted Simulation for Content Knowledge Application in Pre-Service EFL Teacher Training. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pitura%2C+Joanna%22">Pitura, Joanna</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> joanna.pitura@uken.krakow.pl</i><br /><searchLink fieldCode="AR" term="%22Kaplan-Rakowski%2C+Regina%22">Kaplan-Rakowski, Regina</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> Regina.Kaplan-Rakowski@unt.edu</i><br /><searchLink fieldCode="AR" term="%22Asotska-Wierzba%2C+Yuliya%22">Asotska-Wierzba, Yuliya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yuliya.asotska-wierzba@uken.krakow.pl</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22TechTrends%3A+Linking+Research+%26+Practice+to+Improve+Learning%22">TechTrends: Linking Research & Practice to Improve Learning</searchLink>. Jan2025, Vol. 69 Issue 1, p100-110. 11p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Career+development%22">Career development</searchLink><br />*<searchLink fieldCode="DE" term="%22Student+teachers%22">Student teachers</searchLink><br />*<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Teacher+training%22">Teacher training</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+flexibility%22">Cognitive flexibility</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Pre-service teachers (PSTs) of English as a Foreign Language (EFL) need extensive training, preparing them for challenges encountered in real classrooms. Such challenges include presenting the target content knowledge in front of the class and promptly responding to students' questions on the content. High-immersion virtual reality (VR) is increasingly seen as technology facilitating teacher training. When integrated with Artificial Intelligence (AI), VR simulations can enhance teacher education by providing real-world practice opportunities. Drawing on cognitive flexibility theory (CFT), this case study investigated how pre-service EFL teachers (N = 17) in Poland interpret the VR-AI–assisted simulation designed to facilitate their content knowledge application. The results suggest that such simulations are valuable for professional development and reflective practice regarding content knowledge in pre-service EFL teacher training. The findings contribute to the broader understanding of the integration of VR and AI technology in language teachers' training programs aiming to support the application of content knowledge in real-life classrooms. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of TechTrends: Linking Research & Practice to Improve Learning is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=182468368 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11528-024-01022-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 100 Subjects: – SubjectFull: Career development Type: general – SubjectFull: Student teachers Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Teacher training Type: general – SubjectFull: Cognitive flexibility Type: general Titles: – TitleFull: The VR-AI–Assisted Simulation for Content Knowledge Application in Pre-Service EFL Teacher Training. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pitura, Joanna – PersonEntity: Name: NameFull: Kaplan-Rakowski, Regina – PersonEntity: Name: NameFull: Asotska-Wierzba, Yuliya IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 87563894 Numbering: – Type: volume Value: 69 – Type: issue Value: 1 Titles: – TitleFull: TechTrends: Linking Research & Practice to Improve Learning Type: main |
| ResultId | 1 |
