Login Register

Environment and Social Psychology

  • Home
  • About the Journal
    • Focus and Scope
    • Peer Review Process
    • Open Access Policy
    • Publishing Ethics
    • Erratum & Withdrawal Policies
    • Copyright & Licence
    • Indexing & Archiving
    • Article Processing Charges (APC) Payment
    • Publisher
    • Contact
  • Article
    • Current
    • Archives
  • Submissions
  • Editorial Team
  • Announcements
  • Special Issues
Apply for Editorial Board Submit an Article

editor-in-chief

Editor-in-Chief

Prof. Dr. Paola Magnano
Kore University of Enna
Italy

Prof. Dr. Gabriela Topa
Social and organizational Psychology, Universidad Nacional de Educacion a Distancia
Spain

indexing-and-archiving

Indexing & Archiving

issn

ISSN

ISSN: 2424-8975 (Online)

ISSN: 2424-7979 (Print)

apc

Article Processing Charges (APCs)

US$1700

frequency

Publication Frequency

Monthly since 2024

Most Viewed

  • The Role of Social Support and Environment: The Mediating Effect of College Students’ Psychology and Behavior
    9058
  • The sustainable practice of education fairness in China: The influence of college students’ perceptions of senior teachers' support on students’ well-being
    8196
  • The Balance Between Resource Development And Environmental Protection Is “Social Contracting”: The Case Of LAPSSET Project In Kenya
    7960
  • Analyzing impacts of campus journalism on student’s grammar consciousness and confidence in writing engagements
    7529
  • A trip down memory lane: Sustaining collective memory through old shophouses in Jalan Mendaling Kajang, Selangor
    6093

Keywords

Home > Archives > Vol. 10 No. 8 (2025): Published > Research Articles
ESP-3906

Published

2025-08-30

Issue

Vol. 10 No. 8 (2025): Published

Section

Research Articles

License

Copyright (c) 2025 Mengji Tian, Qianxi Jiang

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

The journal adopts the Attribution-NonCommercial 4.0 International (CC BY-NC 4.0), which means that anyone can reuse and redistribute the materials for non-commercial purposes as long as you follow the license terms and the original source is properly cited.

Author(s) shall retain the copyright of their work and grant the Journal/Publisher rights for the first publication with the work concurrently licensed since 2023 Vol.8 No.2.

Under this license, author(s) will allow third parties to download, reuse, reprint, modify, distribute and/or copy the content under the condition that the authors are given credit. No permission is required from the authors or the publisher.

This broad license intends to facilitate free access, as well as the unrestricted use of original works of all types. This ensures that the published work is freely and openly available in perpetuity.

By providing open access, the following benefits are brought about:

  • Higher Visibility, Availability and Citations-free and unlimited accessibility of the publication over the internet without any restrictions increases citation of the article.
  • Ease of search-publications are easily searchable in search engines and indexing databases.
  • Rapid Publication – accepted papers are immediately published online.
  • Available for free download immediately after publication at https://esp.as-pub.com/index.php/ESP

 

Copyright Statement

1.The authors certify that the submitted manuscripts are original works, do not infringe the rights of others, are free from academic misconduct and confidentiality issues, and that there are no disputes over the authorship scheme of the collaborative articles. In case of infringement, academic misconduct and confidentiality issues, as well as disputes over the authorship scheme, all responsibilities will be borne by the authors.

2. The author agrees to grant the Editorial Office of Environment and Social Psychology a licence to use the reproduction right, distribution right, information network dissemination right, performance right, translation right, and compilation right of the submitted manuscript, including the work as a whole, as well as the diagrams, tables, abstracts, and any other parts that can be extracted from the work and used in accordance with the characteristics of the journal. The Editorial Board of Environment and Social Psychology has the right to use and sub-licence the above mentioned works for wide dissemination in print, electronic and online versions, and, in accordance with the characteristics of the periodical, for the period of legal protection of the property right of the copyright in the work, and for the territorial scope of the work throughout the world.

3. The authors are entitled to the copyright of their works under the relevant laws of Singapore, provided that they do not exercise their rights in a manner prejudicial to the interests of the Journal.

About Licence

Environment and Social Psychology is an open access journal and all published work is available under the Creative Commons Licence, Authors shall retain copyright of their work and grant the journal/publisher the right of first publication, and their work shall be licensed under the Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

Under this licence, the author grants permission to third parties to download, reuse, reprint, modify, distribute and/or copy the content with attribution to the author. No permission from the author or publisher is required.

This broad licence is intended to facilitate free access to and unrestricted use of original works of all kinds. This ensures that published works remain free and accessible in perpetuity. Submitted manuscripts, once accepted, are immediately available to the public and permanently accessible free of charge on the journal’s official website (https://esp.as-pub.com/index.php/ESP). Allowing users to read, download, copy, print, search for or link to the full text of the article, or use it for other legal purposes. However, the use of the work must retain the author's signature, be limited to non-commercial purposes, and not be interpretative.

Click to download <Agreement on the Licence for the Use of Copyright on Environmental and Social Psychology>.

How to Cite

Mengji Tian, & Qianxi Jiang. (2025). Role adaptation of Maysian secondary school physics teachers to AI-assisted experimental teaching: Integrating social psychological challenges with. Environment and Social Psychology, 10(8), ESP-3906. https://doi.org/10.59429/esp.v10i8.3906
  • ACM
  • ACS
  • APA
  • ABNT
  • Chicago
  • Harvard
  • IEEE
  • MLA
  • Turabian
  • Vancouver

  • Download Citation
  • Endnote/Zotero/Mendeley (RIS)
  • BibTeX

Role adaptation of Maysian secondary school physics teachers to AI-assisted experimental teaching: Integrating social psychological challenges with

Mengji Tian

School of Education,Taylor University, Selangor, 47500, Malaysia

Qianxi Jiang

School of Education,Taylor University, Selangor, 47500, Malaysia


DOI: https://doi.org/10.59429/esp.v10i8.3906


Keywords: AI-assisted experimental teaching; teacher role adaptation; socio-psychological challenges; environmental sustainability; physics education; Malaysia; green experimental teaching; sustainable development education


Abstract

With the rapid development of artificial intelligence technology in the educational field, teacher role adaptation has emerged as a critical factor influencing educational quality. This study focuses on Malaysian secondary physics teachers and employs an explanatory sequential mixed-methods design, utilizing questionnaire surveys (n=420), in-depth interviews (n=30), focus group discussions (6 groups), and classroom observations (12 cases) to thoroughly investigate teachers' role adaptation processes in AI-assisted experimental teaching, the socio-psychological challenges they encounter, and the integration pathways of environmental sustainability practices. The findings reveal that Malaysian secondary physics teachers demonstrate significant stratified characteristics in their cognitive levels regarding AI technology, with 23.8% possessing high cognitive levels, and younger teachers showing markedly higher technology acceptance than their older counterparts. During the role adaptation process, 72.4% of teachers experience varying degrees of role identity conflicts, primarily manifested as challenges to professional authority (68.1%) and shifts in instructional control (74.3%). Technology anxiety and adaptation pressure exhibit high correlation (r=0.72), with significant gaps between social support needs and current provision, particularly in technical training support (gap of 1.65 points).Environmental awareness exerts decisive influence on instructional design, with teachers possessing high environmental awareness demonstrating superior performance (78.9%) in integrating sustainability elements compared to those with low environmental awareness (31.6%). Green experimental teaching practice models achieve remarkable effectiveness, with 73.6% of teachers adopting related models and realizing 42.8% resource conservation rates. The achievement of sustainable development education goals exhibits multi-pathway synergistic effects, with interdisciplinary integrated teaching yielding optimal results (4.15 points), and students maintaining environmental behavior continuity rates of 78.3% post-graduation.The study constructs a three-dimensional "cognition-emotion-behavior" role adaptation model and a "technology-environment-society" triangular integration framework, providing theoretical guidance and practical pathways for promoting the organic fusion of AI-assisted teaching and environmental sustainability practices. This research enriches the empirical foundation of educational technology acceptance theory and offers significant reference for educational digital transformation and sustainable development education in Malaysia and other developing countries. The research results provide direct guidance for educational policy formulation and teacher professional development: it is recommended to construct a multi-tiered AI technology training system, with a focus on strengthening technical support for teachers over 50 years old; develop AI-assisted teaching curriculum standards that include environmental education modules, organically integrating virtual experiment technology with green education concepts; establish a three-dimensional teacher development support mechanism of "technical mentors + environmental experts + psychological support" to effectively alleviate social psychological pressure during the role adaptation process. These findings can be directly applied to educational digitalization transformation strategy formulation and teacher training system reform in Malaysia and other developing countries.


References

[1]. 1.Cao P X, Li W X, Huang Y B. Research on augmented reality-assisted physics experimental teaching[J]. Information and Computer, 2025, 37(03): 212-214.

[2]. 2.Li Z, Li Y X, Huang T. Preliminary exploration of theoretical computation-assisted physical chemistry experimental teaching reform[J]. Journal of Jilin Institute of Chemical Technology, 2024, 41(10): 1-6.

[3]. 3.Darzi R A A, Razbin M, Allahdadi A, et al. Designing high-efficiency parabolic trough receiver tubes via AI-assisted simulation[J]. Renewable Energy, 2025, 251: 123366-123366.

[4]. 4.Zhou W, Miwa S, Tsujimura R, et al. Development of the AI-assisted thermal hydraulic analysis method for condensing bubbles in vertical subcooled flow boiling[J]. International Journal of Multiphase Flow, 2025, 189: 105246-105246.

[5]. 5.Ma J Y. Strategies for digital information system-assisted physics experimental teaching[J]. Computer and Information Technology, 2020, 28(06): 78-80.

[6]. 6.Zheng Y, Zhang X, Li W, et al. A 12-week cluster randomized controlled trial of the effectiveness of an AI-aided DICE algorithm for BPSD management in low-resource settings: a study protocol[J]. Frontiers in Psychiatry, 2025, 16: 1548638-1548638.

[7]. 7.Liu B, Liu J M, Yin Y L, et al. Virtual simulation experiments assisting physics experiments[J]. DOI:10.19655/j.cnki.1005-4642.2020.10.006.

[8]. 8.Zhao J, Ma Y C, Yin Y X, et al. Exploration of multimedia technology-assisted physical chemistry experimental teaching[J]. Science Consultation (Educational Research), 2020, (24): 31.

[9]. 9.Ye Q, Wang S, Liu Y, et al. Application of AI-assisted multi-advisor system combined with BOPPPS teaching model in clinical pharmacy education[J]. BMC Medical Education, 2025, 25(1): 783-783.

[10]. 10.Ahmmad J, Dayel A A O, Khan A M, et al. AI-assisted technology optimization in disability support systems using fuzzy rough MABAC decision-making[J]. Scientific Reports, 2025, 15(1): 18335-18335.

[11]. 11.Chen S, Liu W P, Yang Z X, et al. Mobile internet-assisted physics and chemistry experimental teaching model and practice[J]. Guangdong Chemical Industry, 2019, 46(06): 233-234.

[12]. 12.Gu J H, Long H, Wang H N, et al. Research on computer-assisted university physics experimental teaching[J]. Green Technology, 2019, (03): 246-247+264.

[13]. 13.Li Y X, Chen X P, Liang R M. The auxiliary role of university online teaching resources from a learning psychology perspective[J]. Journal of Yan'an Vocational and Technical College, 2023, 37(06): 23-27.

[14]. 14.Li Y, Niu Y, Chai Q Z. Analysis of the application of mental health education in university physics teaching[J]. Huazhang, 2023, (08): 43-45.

[15]. 15.Wang J W, Wang T E. Analysis of AI pollution issues and youth AI literacy cultivation from the perspective of information ecological environment protection[J]. Youth Journal, 2025, (03): 22-29.

[16]. 16.Tsuyuzaki S, Fujioka T, Yamaga E, et al. Evaluation of AI diagnostic systems for breast ultrasound: comparative analysis with radiologists and the effect of AI assistance[J]. Japanese Journal of Radiology, 2025, (prepublish): 1-9.

[17]. 17.Yuan L, Wang Y, Xing M, et al. Global research trends in AI-assisted blood glucose management: a bibliometric study[J]. Frontiers in Endocrinology, 2025, 16: 1579640-1579640.

[18]. 18.Huang L N. Discussion on the integration of AI technology and broadcasting and hosting in new media environment[J]. China Media Technology, 2025, (05): 138-141.

[19]. 19.Pan Y K. Construction and implementation of advertising AI monitoring matrix in converged media environment[J]. Broadcasting and Television Information, 2025, 32(04): 104-107.

[20]. 20.Huang L N. Research on AI-based long-distance high-definition audio collection in noisy environments[J]. Modern Electronics Technique, 2025, 48(04): 130-134.

[21]. 21.Xie R, Lu X K. Practice and exploration of AI-empowered environmental design professional teaching from the perspective of industry-education integration[J]. Footwear Craft and Design, 2025, 5(02): 120-122.

[22]. 22.Tang W Y. Application analysis of AI-digitized landscapes in human-environment interactive design[J]. Modern Horticulture, 2025, 48(02): 131-133.

[23]. 23.Birla S, Tiwari N, Shyamal P, et al. A Novel Three-Stage AI-Assisted Approach for Accurate Differential Diagnosis and Classification of NIFTP and Thyroid Neoplasms[J]. Endocrine Pathology, 2025, 36(1): 22-22.

[24]. 24.Zhaojie L, Limin Z. Investigating the Effectiveness of Artificial Intelligence in English Listening Teaching: A Case Study of the New Concept English AI[J]. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 2025, 20(1): 1-19.

[25]. 25.Shen P Y, Wan D M, Zhu A N. Impact of AI-driven product environmental benefits on consumer willingness to pay[J]. Management Science, 2024, 37(06): 133-146.

[26]. 26.Nie Y. Research on environmental art design industry and education in the AI era[J]. Art and Design Research, 2024, (05): 120-128.

[27]. 27.Qi X J. Analysis of elementary mathematics mutual assistance and question-clarification teaching in AI smart classroom environments[J]. China New Telecommunications, 2024, 26(19): 167-169.

[28]. 28.Hou Q, Feng X G, Zheng J L, et al. Research on AI intelligence applications in interior design fields under big data environments[J]. Housing, 2024, (26): 4-6.

[29]. 29.Wei J H. AI-assisted applications and practices in radio station integrated production environments[J]. Broadcasting and Television Network, 2024, 31(08): 45-47.

[30]. 30.Karim S H I, Dhari O A, Fadi N S. The Robustness of AI-Classifiers in the Face of AI-Assisted Plagiarism: The Case of Turnitin AI Content Detector[J]. International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 2025, 15(1): 1-27.

[31]. 31.Duo T L, Liang T T. Discussion on media experimental teaching models and processes in AI environments[J]. News Research Guide, 2024, 15(15): 11-14.

[32]. 32.Qi H, Zhao Y L. Exploration of documentary creation strategies and innovative practices in new media environments[J]. New Media Research, 2024, 10(15): 74-78.

[33]. 33.Chen L C. Analysis of design trends and influencing factors of residential spaces in AI model environments[J]. China Housing Facilities, 2024, (05): 77-79.

[34]. 34.Pu J, Su Y. 57804380-2506 - AI and AR-Assisted Free Flap Harvest for Head and Neck Reconstruction: A Clinical Pilot Study[J]. International Journal of Oral & Maxillofacial Surgery, 2025, 54(S1): 306-306.

[35]. 35.Huiting S. Optimization of AI-Generated Animation Based on Computer-Aided Design in the Digital Media Environment[J]. Journal of Cases on Information Technology (JCIT), 2025, 27(1): 1-12.

[36]. 36.Liang M F. Creative thinking of traditional news media in the AI environment[J]. Satellite TV & Broadband Multimedia, 2024, 21(09): 67-69.

[37]. 37.Wang Y. AI technology assistance for nursing home architectural environment design[J]. Earthquake Resistant Engineering and Retrofitting, 2024, 46(02): 194-195.

[38]. 38.Li Z G, Yang H, Wang Q F. Opportunities and challenges facing environmental science and engineering professional education in the context of generative AI popularization[J]. Educational Observation, 2024, 13(10): 15-19.

[39]. 39.Shan L C, Wei Z S. Exploration of AI technology applications in human settlement environment design[J]. Beauty & Times (Urban Edition), 2024, (03): 83-85.

[40]. 40.Ma J. Research on the application of artificial intelligence in environmental legal supervision and governance[J]. China-Arab Science and Technology Forum (Chinese and English), 2024, (03): 152-156.

[41]. 41.Zhang Y, Lai C, Gu Y M M. Becoming a teacher in the era of AI: A multiple-case study of pre-service teachers' investment in AI-facilitated learning-to-teach practices[J]. System, 2025, 133: 103746-103746.

[42]. 42.Li X M, Ma X D. Research on security and privacy protection mechanisms of intelligent computing AI in cloud computing environments[J]. Information and Computer (Theoretical Edition), 2024, 36(01): 211-213.

[43]. 43.Li C P, Wang L P, Guan Y T. Discussion on the application of video AI recognition and early warning in water environment management and control[J]. Smart City, 2023, 9(11): 64-66.

[44]. 44.Chen W Y, Wu K J, Wu J, et al. Research on plant growth stage recognition in Baidu AI environment[J]. Fujian Computer, 2023, 39(08): 26-31.

[45]. 45.Chen H F. Integration and application of AI technology in environmental art design[J]. Building Structure, 2023, 53(15): 172.

[46]. 46.Song Q, He X, Wang Y, et al. Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma[J]. Scientific Reports, 2025, 15(1): 22513-22513.

[47]. 47.D'Addario M. A taxonomy of standardized terms for generative AI use in the composition classroom[J]. Discover Education, 2025, 4(1): 220-220.

[48]. 48.Li M, He X Y, Fang H J. Exploration of talent capability cultivation needs for hotel majors in higher vocational colleges under AI application environments[J]. Journal of Heilongjiang Institute of Teacher Development, 2021, 40(11): 74-76.

[49]. 49.Li D. Research on smart service strategies of public libraries in "5G+AI" technology integration environment[J]. Henan Library Journal, 2021, 41(10): 30-31+62.

[50]. 50.Maranca P R A, Chung J, Hinck M, et al. Correcting the Measurement Errors of AI-Assisted Labeling in Image Analysis Using Design-Based Supervised Learning[J]. Sociological Methods & Research, 2025, 54(3): 984-1016.

[51]. 51.Cowan M, Fox G, Larson K. Can AI Level the Playing Field? How AI-Assisted Assessment Impacts Gender Bias in Student Evaluations of Marketing Instructors[J]. Journal of Marketing Education, 2025, 47(2): 126-137.

[52]. 52.Tian M M, Cui W N, Wu Y S, et al. Intelligent agricultural ecological environment monitoring system based on AI technology[J]. Taiwan Strait Science & Technology and Industry, 2021, 34(08): 46-50.

[53]. 53.Xu A L, Geng J S. Discussion on ecological environment monitoring network platform based on 5G and AI[J]. Environmental Monitoring Management and Technology, 2021, 33(03): 5-8.

[54]. 54.Yang X, Liu X, Gao Y. The impact of Generative AI on students' learning: a study of learning satisfaction, self-efficacy and learning outcomes[J]. Educational Technology Research and Development, 2025, (prepublish): 1-14.

[55]. 55.Wang C. Research on information literacy cultivation strategies for university teachers in AI smart education environments[J]. Journal of Hunan Industry Polytechnic, 2021, 21(03): 117-120.

[56]. 56.Xu Q Y. Research on information literacy cultivation strategies for vocational teachers in AI smart education environments[J]. Journal of Heilongjiang Institute of Teacher Development, 2020, 39(12): 64-66.

[57]. 57.Zhou Y T, Li S. Research on AI intelligence applications in interior design fields under big data environments[J]. Science and Technology & Innovation, 2020, (23): 160-161.



ISSN: 2424-8975
21 Woodlands Close #02-10, Primz Bizhub,Postal 737854, Singapore

Email:editorial_office@as-pub.com