BALANCING INNOVATION AND MENTAL HEALTH: AI’S PSYCHOLOGICAL EFFECTS ON ENGLISH EDUCATION STAKEHOLDERS
DOI:
https://doi.org/10.21009/ishel.v1i1.57221Keywords:
Artificial Intelligence (AI), English Language Teaching (ELT), Adaptive Learning, Psychological Impacts, Human-Centered EducationAbstract
This investigation delves into the incorporation of Artificial Intelligence (AI) within the domain of English Language Teaching (ELT), underscoring its transformative capacity and the psychological ramifications for both educators and learners. AI instruments, such as adaptive learning platforms and chatbots, have fundamentally altered the landscape of language education by personalizing instructional experiences, automating monotonous tasks, and providing immediate feedback. These advancements significantly enhance motivation and engagement by cultivating a sense of achievement and competence among learners. Nonetheless, obstacles such as technostress, performance anxiety, and excessive dependency on AI instruments highlight the necessity for judicious integration. Educators express apprehensions regarding professional obsolescence, while learners face potential declines in self-efficacy and preparedness for autonomous tasks. This inquiry employs a systematic literature review (SLR) methodology, scrutinizing approximately 50 peer-reviewed articles to discern pivotal patterns, deficiencies, and trends. The results accentuate the criticality of reconciling technological advancement with humanistic principles. AI ought to augment human interaction, promoting collaboration, empathy, and social learning. Professional advancement for educators and culturally attuned implementations for diverse educational settings are essential to guarantee inclusive and efficacious AI integration. By addressing these dimensions, AI can facilitate equitable, engaging, and human-centered learning environments, thereby enhancing both pedagogical outcomes and psychological well-being. Subsequent research should investigate the comprehensive interplay between AI technologies and the psychological factors influencing their impact in educational contexts.
References
Aisyiyah, M. N. (2022). PRE-SERVICE ENGLISH TEACHERS’ READINESS FOR TECHNOLOGY-ENHANCED LANGUAGE LEARNING. ELT Echo : The Journal of English Language Teaching in Foreign Language Context, 7(2). https://doi.org/10.24235/eltecho.v7i2.12509
Alam, S. (2024). Reflecting the Voices of EFL Teachers in the World of Intelligent Computer-Assisted Language Assessment (ICALA): An Insight Into Teacher Immunity, Reflective Teaching, Job Satisfaction, and L2-Teacher Grit. Language Testing in Asia, 14(1). https://doi.org/10.1186/s40468-024-00314-z
AlTwijri, L. (2024). Investigating the Integration of Artificial Intelligence in English as Foreign Language Classes for Enhancing Learners’ Affective Factors: A Systematic Review. Heliyon, 10(10), e31053. https://doi.org/10.1016/j.heliyon.2024.e31053
Bannister, P. (2023). A Systematic Review of Generative AI and (English Medium Instruction) Higher Education. Aula Abierta, 52(4), 401–409. https://doi.org/10.17811/rifie.52.4.2023.401-409
Brusilovsky, P. (2023). AI in Education, Learner Control, and Human-Ai Collaboration. 34(1), 122–135. https://doi.org/10.1007/s40593-023-00356-z
Busso, A. (2024). Advancing Communicative Competence in the Digital Age: A Case for AI Tools in Japanese EFL Education. Technology in Language Teaching & Learning, 6(3), 1211. https://doi.org/10.29140/tltl.v6n3.1211
Chakraborty, S. (2024). AI-Empowered Knowledge Management in Primary and Higher Education. 29–47. https://doi.org/10.1007/978-981-97-2574-8_5
Chen, Y. (2023). Pandoras Pixel Box: The Rise of AI Art and the Ethical Dilemma of Creativity. Lecture Notes in Education Psychology and Public Media, 28(1), 135–143. https://doi.org/10.54254/2753-7048/28/20231315
Cooper, N. (2024). Harnessing Large Language Models for Coding, Teaching and Inclusion to Empower Research in Ecology and Evolution. Methods in Ecology and Evolution, 15(10), 1757–1763. https://doi.org/10.1111/2041-210x.14325
Crompton, H. (2024). AI and English Language Teaching: Affordances and Challenges. British Journal of Educational Technology, 55(6), 2503–2529. https://doi.org/10.1111/bjet.13460
Febriyanti, E. R., Fadilla, R., Pasani, C. F., & Amelia, R. (2022). NovoLearning: A strategic response to large class problems in teaching non-English department students. JOALL (Journal of Applied Linguistics and Literature), 7(2), 395–412. https://doi.org/10.33369/joall.v7i2.20117
Feng, Y. (2021). A Case Study of Applying AI Educational Robot to Help Chinese Preschoolers Acquire Chinese and English Bilingualism. 25–30. https://doi.org/10.1145/3510309.3510314
Fitria, T. N. (2021). THE USE TECHNOLOGY BASED ON ARTIFICIAL INTELLIGENCE IN ENGLISH TEACHING AND LEARNING). ELT Echo : The Journal of English Language Teaching in Foreign Language Context, 6(2). https://doi.org/10.24235/eltecho.v6i2.9299
Huynh, Q. Q. (2024). A Literature Review on EFL Students’ Integration of Al-Based Tools in English Learning and the Perceived Impact on Autonomy. 1(2), 30–51. https://doi.org/10.54855/ijaile.24123
Ibrahim, M. (2024). AI as a Collaborative Partner. 117–149. https://doi.org/10.4018/979-8-3693-1054-0.ch006
Kaiser, G. (2024). AI in Education. 241–260. https://doi.org/10.4018/979-8-3693-6130-6.ch010
Karpova, K. (2020). INTEGRATION OF “WRITE AND IMPROVE” AWE TOOL INTO EFL AT HIGHER EDUCATIONAL ESTABLISHMENT: CASE STUDY. Celtic: A Journal of Culture, English Language Teaching, Literature and Linguistics, 7(2), 137–150. https://doi.org/10.22219/celtic.v7i2.14036
Klimova, B., Pikhart, M., Polakova, P., Cerna, M., Yayilgan, S. Y., & Shaikh, S. (2023). A Systematic Review on the Use of Emerging Technologies in Teaching English as an Applied Language at the University Level. Systems, 11(1), 42. https://doi.org/10.3390/systems11010042
Ma, Y. (2023a). A Comprehensive Model for Recommending Personalized Learning Resources for the Development of Linguistic Competence. International Journal of Emerging Technologies in Learning (Ijet), 18(23), 145–159. https://doi.org/10.3991/ijet.v18i23.45639
Ma, Y. (2023b). Exploring ChatGPT in Language Teaching for Higher Education in China. Lecture Notes in Education Psychology and Public Media, 18(1), 265–271. https://doi.org/10.54254/2753-7048/18/20231337
Marar, S. D., & Hamza, M. A. (2020). Attitudes of Researchers Towards Plagiarism: A Study on a Tertiary Care Hospital in Riyadh, Saudi Arabia. Learned Publishing, 33(3), 270–276. https://doi.org/10.1002/leap.1295
Moreno-Guerrero, A.-J., López-Belmonte, J., Marín-Marín, J.-A., & Soler-Costa, R. (2020). Scientific Development of Educational Artificial Intelligence in Web of Science. Future Internet, 12(8), 124. https://doi.org/10.3390/fi12080124
Ningsih, F. (2023). Classtime.Com as an Ai-Based Testing Platform: Analysing ESP Students’ Performances and Feedback. Journal of Languages and Language Teaching, 11(3), 390. https://doi.org/10.33394/jollt.v11i3.8286
Obeid, R., & Hill, D. B. (2017). An Intervention Designed to Reduce Plagiarism in a Research Methods Classroom. Teaching of Psychology, 44(2), 155–159. https://doi.org/10.1177/0098628317692620
Sabiq, A. H. A., & Fahmi, M. I. (2020). Mediating Quizzes as Assessment Tool Through WhatsApp Auto-Response in ELT Online Class. Langkawi Journal of the Association for Arabic and English, 6(2), 186. https://doi.org/10.31332/lkw.v6i2.2216
Shen, C. (2023). From Process to Product: Writing Engagement and Performance of EFL Learners Under Computer-Generated Feedback Instruction. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1258286
Sheng, B. (2024). Research on the Innovation of English Teaching Mode Based on Artificial Intelligence. Frontiers in Education Technology, 7(1), p85. https://doi.org/10.22158/fet.v7n1p85
Shijie, Z. (2024). Innovative Strategies for Teaching Models in Higher Vocational English Education Under the Background of Artificial Intelligence. 1(3), 308–315. https://doi.org/10.62517/jhve.202416348
Shikun, S. (2024). AI Chatbots: Developing English Language Proficiency in EFL Classroom. Arab World English Journal, 1(1), 292–305. https://doi.org/10.24093/awej/chatgpt.20
Sultana, S. (2024). AI in Higher Education. 111–136. https://doi.org/10.4018/979-8-3693-3534-5.ch006
Susanto, D. A. (2024). Utilizing ChatGPT on Designing English Language Teaching (ELT) Materials in Indonesia: Opportunities and Challenges. Celt a Journal of Culture English Language Teaching & Literature, 24(1), 157–171. https://doi.org/10.24167/celt.v24i1.11633
Tian, W. (2024). AI Chatbots in Chinese Higher Education: Adoption, Perception, and Influence Among Graduate Students—An Integrated Analysis Utilizing UTAUT and ECM Models. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1268549
Wu, L. (2024). Application of Artificial Intelligence in Teaching English as a Foreign Language: Progress, Challenges, and Trends. English Language Teaching and Linguistics Studies, 6(4), p215. https://doi.org/10.22158/eltls.v6n4p215
Xiong, Y. (2024). A Review of the Features and Efficacy of Chat-GPT AI Writing Assistant in Influencing EFL Learners’ English Writing Skills. 11, 177–183. https://doi.org/10.62051/bxz3th29
Yadav, S. (2024). Advancing Education With AI-Driven Education for Diverse Learners. 49–80. https://doi.org/10.4018/979-8-3693-6130-6.ch003
Yang, Z. (2022). Natural Language Enhancement for English Teaching Using Character-Level Recurrent Neural Network with Back Propagation Neural Network based Classification by Deep Learning Architectures. JUCS - Journal of Universal Computer Science, 28(9), 984–1000. https://doi.org/10.3897/jucs.94162
Zhai, X. (2024). Unpacking the Dynamics of AI-Based Language Learning: Flow, Grit, and Resilience in Chinese EFL Contexts. Behavioral Sciences, 14(9), 838. https://doi.org/10.3390/bs14090838
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Abdul Hamid Aly, Zainal Rafli, Liliana Muliastusi

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