Artificial intelligence and English classroom: the implications of AI toward EFL students' motivation
Open accessAbstract
The integration of Artificial Intelligence (AI) into the realm of English as a Foreign Language (EFL) education has brought forth transformative possibilities, particularly in the context of student motivation. This research employs a mixed-methods approach, encompassing quantitative surveys and qualitative study of previous literature, to delve into the multifaceted dimensions of EFL students' motivation within the AI-driven learning environment. Quantitative data collection involves administering structured survey questionnaires to a diverse group of EFL students who have experienced AI-based language learning tools. Qualitative insights are gleaned through document/literature study, aiming to provide in-depth narratives and understandings concerning the participants' experiences, attitudes, and perceptions regarding AI in EFL classroom. This integration highlights the nuanced interplay between AI technologies and motivation factors, shedding light on how AI can enhance intrinsic motivation, boost self-efficacy, and facilitate personalized language learning experiences. Moreover, the study addresses ethical considerations, ensuring the privacy and well-being of participants throughout the research process. Ultimately, the research contributes to the growing body of knowledge on AI's role in education and its potential to shape the future of EFL instruction. By unveiling the implications of AI on EFL students' motivation, this study provides valuable insights for educators, policymakers, and stakeholders, guiding the effective integration of AI to foster enduring and enthusiastic language learners in an increasingly digital age.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The integration of AI enhances affective factors, attributed to personalized and constant feedback, an interactive learning environment, accessibility and flexibility in terms of place and time, and autonomous learning opportunities.
“It has been found that the integration of AI enhances affective factors and this attributed to different reasons, such as personalized and constant feedback, an interactive learning environment, accessibility and flexibility in terms of place and time, and autonomous learning opportunities.”
Chatbots that operated as teaching assistants provided academic knowledge, offered formative feedback, and enabled scaffolded learning.
“The chatbots that operated as teaching assistants provided academic knowledge ([41,[48], [49], [50]]), offered formative feedback to EFL learners [45], and enabled scaffolded learning ([22,27,31,42,51]).”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Exploring AI chatbot affordances in the EFL classroom: young learners’ experiences and perspectives
Jeon, J. (2024) · Computer Assisted Language Learning · doi:10.1080/09588221.2021.2021241 · Cited by 433 · see citing works
Shazly, R. F. E. (2021) · Expert Systems · doi:10.1111/exsy.12667 · Cited by 344 · cited 1× · see citing works
“Among the myriad tools and technologies reshaping pedagogy, Artificial Intelligence (AI) has emerged as a promising contender with the potential to revolutionize the way students engage with their learning experiences (El Shazly, 2021).”
BackgroundImpact of ChatGPT on Learning Motivation: Teachers and Students' Voices
Ali, J. K. M., Shamsan, M. A. A., Hezam, T. A., & Mohammed, A. A. Q. (2023) · Journal of English Studies in Arabia Felix · doi:10.56540/jesaf.v2i1.51 · Cited by 335 · see citing works
Ebadi, S., & Amini, A. (2022) · Interactive Learning Environments · doi:10.1080/10494820.2022.2096638 · Cited by 235 · cited 1× · see citing works
“As AI technology continues to expand, its implications for English as a Foreign Language (EFL) students have become increasingly important to consider (Ebadi & Amini, 2022); (Jiang (2022); (Wang, 2022).”
BackgroundJiang, R. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1049401 · Cited by 181 · cited 1× · see citing works
“As AI technology continues to expand, its implications for English as a Foreign Language (EFL) students have become increasingly important to consider (Ebadi & Amini, 2022); (Jiang (2022); (Wang, 2022).”
BackgroundStudents’ Perceptions of the Use of AI in a Writing Class
Sumakul, D. T. Y. G., Hamied, F. A., & Sukyadi, D. (2022) · Proceedings of the 67th TEFLIN International Virtual Conference & the 9th ICOELT 2021 (TEFLIN ICOELT 2021) · doi:10.2991/assehr.k.220201.009 · Cited by 107 · cited 1× · see citing works
“As such, proficiency in English is a highly sought-after skill worldwide, leading to a growing demand for EFL instruction (Sumakul, Hamied, & Sukyadi, 2022); (Al-Zawaideh, 2022).”
BackgroundLiando, N., Tatipang, D., & Wuntu, C. (2023) · REiLA: Journal of Research and Innovation in Language · doi:10.31849/reila.v5i1.13183 · Cited by 8 · cited 2× · see citing works
“As educators strive to enhance the learning experience for students, one critical area of focus is English as a Foreign Language (EFL) instruction (Liando et al., 2023); (Tatipang et al., 2022); Liando et al., 2023).”
BackgroundSelf-citation
Flagged first, then by citations
1 of the 8 references couldn’t be matched to a known paper.
Research works printed but not linked: 9
- An, X., Chai, C. S., Li, Y., Zhou, Y., Shen, X., Zheng, C., & Chen, M. (2023). Modeling English teachers' behavioral intention to use artificial intelligence in middle schools. Education and Information Technologies, 28(5), 5187-5208.
- Al-Zawaideh, G. (2022). The Effectiveness of An Artificial Intelligence (AI) Applications on Fluency Performance Among Tenth Grade EFL Students. Review of International Geographical Education Online, 12(1).
- Han, D. E. (2020). The effects of voice- based AI chatbots on Korean EFL middle school students' speaking competence and affective domains. Asia-pacific Journal of Convergent Research Interchange, 6(7), 71-80.
- Hapsari, I. P., & Wu, T. T. (2022, August). AI Chatbots learning model in (Adolfina M. S. Moybeka * , Nur Syariatin, Devilito P. Tatipang, Dina Amaliyah Mushthoza, Ni Putu Juliani Lestari Dewi, Sulfany Tineh ) Copyright © 2023 Edumaspul -Jurnal Pendidikan (ISSN 2548-8201 (cetak); (ISSN 2580-0469 (online) English speaking skill: Alleviating speaking anxiety, boosting enjoyment, and fostering critical thinking. In International Conference on Innovative Technologies and Learning (pp. 444-453). Cham: Springer International Publishing.
- Haryanto, E., & Ali, R. M. (2019, January). Students' attitudes towards the use of Artificial Intelligence SIRI in EFL learning at one public university. In International Seminar and Annual Meeting BKS-PTN Wilayah Barat (Vol. 1, No. 1).
- Liando, N. V. F., Tatipang, D. P., & Wuntu, C. N. (2023). TPACK Framework Towards 21st Century's Pre-Service English Teachers: Opportunities and Challenges in Application. Edumaspul: Jurnal Pendidikan, 7(1), 1799-1815.
- Liando, N. V., Dallyono, R., Tatipang, D. P., & Lengkoan, F. Among English, Indonesian and local language: Translanguaging practices in an Indonesian EFL classroom. Indonesian Journal of Applied Linguistics, 13(1).
- Mushthoza, D. A., Syariatin, N., Tahalele, O., Telussa, S. I., Rasmita, R., & Mokodenseho, S. (2023). Analyzing The Impact Of Artificial Intelligence (AI) On The Future Of English Language Teaching And Learning. Journal on Education, 6(1), 1549-1557.
- Mohammadkarimi, E. (2023). Teachers' reflections on academic dishonesty in EFL students' writings in the era of artificial intelligence. Journal of Applied Learning and Teaching, 6(2).
Cited by
Sorted by citations
AlTwijri, L., & Alghizzi, T. M. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e31053 · Cited by 93 · see citing works
Rezai, A., Soyoof, A., & Reynolds, B. L. (2024) · European Journal of Education · doi:10.1111/ejed.12752 · Cited by 65 · see citing works
AbuSahyon, A. S. E., Alzyoud, A., AlShorman, O., & Al-Absi, B. (2023) · International Journal of Membrane Science and Technology · doi:10.15379/ijmst.v10i1.2829 · Cited by 82 · see citing works
“Certain language learning applications have made efforts to develop chatbots that provide more pedagogically and interactionally effective dialogues [52].”
BackgroundYuan, H. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04878-w · Cited by 68 · see citing works
“Addressing these limitations requires a focus on user-centered design and careful consideration of learners ’ emotional and motivational needs to ensure a supportive and productive educational experience (Zheng, 2024; Moybeka et al. 2023; Chiu et al. 2023).”
Shi, S., & Zhang, H. (2025) · Learning and Motivation · doi:10.1016/j.lmot.2025.102151 · Cited by 41 · see citing works
Shao, S. (2025) · Learning and Motivation · doi:10.1016/j.lmot.2025.102154 · Cited by 45 · see citing works
Zhao, J. (2025) · Learning and Motivation · doi:10.1016/j.lmot.2025.102152 · Cited by 40 · see citing works
Yi, M., & Chen, M. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1568239 · Cited by 56 · see citing works
Principles of foreign language teaching based on artificial intelligence technologies
Evstigneev, M. N. (2024) · Вестник Тамбовского университета. Серия: Гуманитарные науки · doi:10.20310/1810-0201-2024-29-2-309-323 · Cited by 24 · see citing works
Galindo‐Domínguez, H., Delgado, N., Urruzola, M. V., Urbieta, J. M. E., & Campo, L. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.70020 · Cited by 32 · see citing works
Impact of Artificial Intelligence Software on English Learning Motivation and Achievement
Yang, T. (2024) · SHS Web of Conferences · doi:10.1051/shsconf/202419302011 · Cited by 24 · see citing works
Busso, A., & Sanchez, B. (2024) · Technology in Language Teaching & Learning · doi:10.29140/tltl.v6n3.1211 · Cited by 14 · see citing works
Liang, H., & Reiss, M. J. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1681635 · Cited by 29 · see citing works
Öğretimde Yapay Zekâ Uygulamaları Hakkında Sınıf Öğretmenleri Ne Düşünüyor?
Sontay, G., Kazancı, Y., & Karamustafaoğlu, O. (2024) · İstanbul Eğitim Dergisi · doi:10.71270/istanbulegitim.istj.1586392 · Cited by 16 · see citing works
Dou, W., & Sun, X. (2025) · Learning and Motivation · doi:10.1016/j.lmot.2025.102169 · Cited by 20 · see citing works
Nguyen, T. X. (2024) · Journal of Knowledge Learning and Science Technology · doi:10.60087/jklst.vol3.n1.p193 · Cited by 12 · see citing works
Yaşar, H., & Karagücük, V. (2024) · International Journal of Languages Education · doi:10.71084/ijlet.1561914 · Cited by 12 · see citing works
A Systematic Review of EFL Teachers’ Perspectives on Artificial Intelligence Technologies
Özkan, E. K., Erdemir, N., & Coşkun, D. (2024) · Ihlara Eğitim Araştırmaları Dergisi · doi:10.47479/ihead.1535035 · Cited by 17 · see citing works
Yilmaz, Ö. U., & Aydın, S. (2025) · Reading Research Quarterly · doi:10.1002/rrq.70016 · Cited by 10 · see citing works
Alfaleh, M., Albasis, H. H., & Mohamed, A. M. A. (2025) · Cogent Education · doi:10.1080/2331186x.2025.2542395 · Cited by 10 · see citing works
“…traditional methodologies may offer new pathways for enhancing reading proficiency, motivation, and the overall language learning experience, though optimal implementation frameworks require further investigation (Daweli & Moqbel Mahyoub, 2024; Guo & Wang, 2025; Moybeka et al., 2023; Yang, 2024).”
Cao, L., & Abdullah, A. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1643653 · Cited by 14 · see citing works
Chen, J. (2025) · Learning and Motivation · doi:10.1016/j.lmot.2025.102199 · Cited by 10 · see citing works
Research on Personalized English Language Learning Based on Artificial Intelligence
Yang, K. (2024) · Applied Mathematics and Nonlinear Sciences · doi:10.2478/amns-2024-2151 · Cited by 8 · see citing works
Generative AI as a Personal Tutor for English Language Learning: A Review of Benefits and ConcernsPreprint
Pang, S., Nol, E., & Heng, K. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4865398 · Cited by 8 · see citing works
“Moybeka et al. [19] found in their mixed-methods study, which examined the influence of AI on motivation among EFL students, that AI could significantly boost intrinsic motivation, enhance self-efficacy, and facilitate personal learning plans.”
AI acceptance and Chinese EFL learners’ behavioral engagement with mediating effects of motivation
Wang, Q., Amini, M., & Fu, Z. (2025) · Scientific Reports · doi:10.1038/s41598-025-11305-2 · Cited by 16 · see citing works
“This integrative framework offers a more comprehensive explanation of how external technological factors interact with internal psychological needs 40,50 .”
Ghiasvand, F., Seyri, H., & Demir, S. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.106487 · Cited by 6 · see citing works
Students’ Motivation in the Artificial Intelligence Environment: A Systematic Review
Daher, W. M., & Thabet, E. A. (2025) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v19i11.55139 · Cited by 5 · see citing works
Alwafi, E. M. (2025) · Learning and Motivation · doi:10.1016/j.lmot.2025.102215 · Cited by 6 · see citing works
Ali, Z. B., Bhar, S. K., Majid, S. N. A., & Masturi, S. Z. (2025) · Education Sciences · doi:10.3390/educsci15050522 · Cited by 11 · see citing works
Teachers’ Experiences of Using AI-powered Technologies in Bangladeshi English Language Classrooms
Munni, B. E., & Rafique, R. (2025) · Spectrum · doi:10.3329/spectrum.v18i1.76362 · Cited by 10 · see citing works
“Teachers discovered that the user-friendly interfaces of these tools offer an alternative to traditional lecture-based classes, supporting Davis’s (1986) TAM, Ahn and Lee (2016), Ghali et al. (2018), and Moybeka et al. (2023).”
InfluentialRahman, M. A. (2024) · Pedagogy Journal of English Language Teaching · doi:10.32332/joelt.v12i2.9549 · Cited by 5 · see citing works
“Likewise, (Reiser, 2017) found that prompt feedback from AI systems enhances students' motivation and self-efficacy in writing assignments (Moybeka et al., 2023).”
Wei, L.-W. (2025) · Beijing international review of education · doi:10.1177/25902547251372084 · Cited by 4 · see citing works
“However, the concomitant increase in UA necessitates critical examination of how AI in fl uences students ’ career outlooks (Ruiz-Talavera et al., 2023; Moybeka et al., 2023).”
Masoudi, H. A. (2025) · CDELT Occasional Papers in the Development of English Education · doi:10.21608/opde.2025.426955 · Cited by 3 · see citing works
Campoverde-Quezada, D. A., & Valdiviezo-Ramírez, E. A. (2024) · Revista Metropolitana de Ciencias Aplicadas · doi:10.62452/y9pfb437 · Cited by 3 · see citing works
ChatGPT for EFL: Usage and Perceptions among BA and MA Students
Aljohani, W. A. (2024) · Open Journal of Modern Linguistics · doi:10.4236/ojml.2024.146059 · Cited by 4 · see citing works
Self-reported cognitive effects of AI applications on learning
Krsmanović, G., & Deek, F. P. (2025) · Journal of Higher Education Theory and Practice · doi:10.33423/jhetp.v25i1.7563 · Cited by 3 · see citing works
Sun, J. (2025) · International Journal of Academic Research in Progressive Education and Development · doi:10.6007/ijarped/v14-i2/25239 · Cited by 2 · see citing works
“Moybeka et al. (2023) pointed out that EFL classrooms using AI tools can significantly increase students' learning motivation, having positive effects in terms of immediate feedback, personalized instructional design, and self-efficacy enhancement.”
Beyond the ban: A theoretical framework for integrating Generative AI in assessment
Chapman, B. L., & Dalgarno, B. (2025) · Policy Futures in Education · doi:10.1177/14782103251411725 · Cited by 2 · see citing works
“…as a Foreign Language (EFL) classrooms has revealed positive effects on student motivation (Kim et al., 2024) while GenAl-based language learning tools have been shown to enhance intrinsic motivation, boost self-ef fi cacy, and facilitate personalised learning experiences (Moybeka et al., 2023).”
A Teaching Mode of College English Listening in Intelligent Phonetic Environments
Yan, X. (2024) · International Journal of e-Collaboration · doi:10.4018/ijec.347986 · Cited by 2 · see citing works
Akademik Motivasyon ve Akademik Öz Yeterliğin Eğitimde Chatbot Kullanımı Üzerindeki Yordayıcı Etkisi
Taşkın, Ş., & Canoğulları, Ö. (2025) · Türk Eğitim Bilimleri Dergisi · doi:10.37217/tebd.1569685 · Cited by 2 · see citing works
AI-Driven Language Enhancement Strategies for Libraries
Visnudharshana, R., & Kishore, H. S. (2024) · Advances in library and information science (ALIS) book series · doi:10.4018/979-8-3693-5593-0.ch018 · Cited by 3 · see citing works
Budiman, J. N. C., & Ganap, N. N. (2024) · Edumaspul - Jurnal Pendidikan · doi:10.33487/edumaspul.v8i1.7655 · Cited by 1 · see citing works
Emerging Research in AI-Assisted Language Learning
Yaqin, L. N. (2025) · Advances in multimedia and interactive technologies book series · doi:10.4018/979-8-3373-1681-9.ch002 · Cited by 1 · see citing works
From Algorithms to insights: Revolutionizing literature education with AI
Papa, E. (2025) · Academic journal of business, administration, law and social sciences · doi:10.2478/ajbals-2025-0003 · Cited by 1 · see citing works
Hu, W.-C., & Hsu, S. (2025) · doi:10.3390/engproc2025098023 · Cited by 1 · see citing works
Redefining the Role of Educators, Not Replacing Them
Terantino, J., Zaheer, S., & Zhu, Y. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-0396-3.ch009 · Cited by 1 · see citing works
Chih-Chung, L., Tang, C.-K., Lin, T.-H., et al. (2026) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2026.2688409 · Cited by 1 · see citing works
Radovan, M., Košmerl, T., & Radovan, D. M. (2026) · Sustainability · doi:10.3390/su18147213 · Cited by 3 · see citing works
Wu, Z., Halim, H. B. A., & Saad, M. R. M. (2025) · Proceedings of The International Conference on Modern Research in Education Teaching and Learning · doi:10.33422/icmetl.v4i1.769 · Cited by 1 · see citing works
“Students can ask questions, get clarification on topics, and get quick responses while interacting with AI, which encourages deeper engagement with the material (Moybeka, 2023).”
Gomathi, R. D., Murugan, J., Kavitha, P., & Gomathi, B. S. (2025) · Journal of Machine and Computing · doi:10.53759/7669/jmc202505089 · Cited by 1 · see citing works
University Students' Sense of Belonging in AI-Mediated EFL Classrooms
Pham, C. H. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-0969-9.ch011 · Cited by 1 · see citing works
Automated Feedback Effect on Foreign Language Writing Motivation and Anxiety
Altınay, G., & Aydın, S. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-5681-5.ch002 · Cited by 1 · see citing works
Students' Perception toward Chat PDF AI Applied in Critical Reading Course
Yuniari, N. M. (2024) · Indonesian Journal of Foreign Language Studies · doi:10.65576/indofes.v1i1.6 · Cited by 1 · see citing works
Jiménez, W. C. (2023) · Revista Comunicación · doi:10.18845/rc.v32i2.6988
“Furthermore, as Moybeka et al. (2023) emphasize, text-to-speech applications serve as pivotal tools in dismantling language barriers, leading to a more inclusive and equitable approach to English language education.”
BackgroundDevelopment, Implementation, Evaluation, and Comparation Toward ELT Curriculum (A Case in Indonesia)
Kicha, L., Mogea, T., & Liando, N. V. F. (2023) · Edumaspul - Jurnal Pendidikan · doi:10.33487/edumaspul.v7i2.6978
Zhou, J. (2024) · International Journal of Education and Humanities · doi:10.54097/kp6wvy03
Mustafa, Ş. (2025) · i-manager s Journal on School Educational Technology · doi:10.26634/jsch.20.3.21784 · Cited by 1 · see citing works
Krsmanovic, I. M., & Archan, D. A. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-5477-3.ch006
Students’ Knowledge and Perspectives of Using Artificial Intelligence in Academic Writing Works
Yunita, W., Sujarwati, I., & Dahlia (2025) · Ethical Lingua Journal of Language Teaching and Literature · doi:10.30605/25409190.807
Le, S. T. (2025) · International journal of AI in language education. · doi:10.54855/ijaile.25226
Krsmanovic, G., Deek, R. A., & Deek, F. P. (2025) · Computer · doi:10.1109/mc.2025.3576936
“17 The same results were found in, 4,10,18,19 which similarly investigated the impact that AI has on motivation in students.”
He, T., Yao, J., Lai, Y., et al. (2025) · Applied Mathematics and Nonlinear Sciences · doi:10.2478/amns-2025-1102
Jiménez, C. R., Robles, A. S., Lorenzo-Martín, M. E., & Fernández-Fernández, C. R. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-7922-7.ch006 · Cited by 1 · see citing works
Almalahmeh, M. S. I. (2026) · Studies in systems, decision and control · doi:10.1007/978-3-031-95310-1_9
Fostering Critical Thinking in AI-Assisted English Language Learning Environments
Rosmayanti, V. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-3000-6.ch011
Empowering EFL Writers Through AI
Rosmayanti, V. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-5601-3.ch009
AI Literacy and Trust in AI Among Higher Education Lecturers
Archan, D. A., & Krsmanovic, I. M. (2026) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-95-4423-3_49
Tang, W. K.-W., & Zhang, X.-Y. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6621596
Exploring Student Experiences With AI- Driven Tools for Speech ProficiencyPreprint
Serundo, D. A., Tapic, L. G. E., Turtogo, J. R., Fabricante, E. L., Apao, D. D. G., & Tayros, M. T. (2026) · Research Square · doi:10.21203/rs.3.rs-10066024/v1
Guo, J. (2026) · International Conference on Intelligent Systems and Computational Networks (ICISCN) · doi:10.1109/iciscn67954.2026.11566658
AI Literacy in Early Language Development
Rosmayanti, V., Sabillah, B. M., & Syata, W. M. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-4893-3.ch006
Al-Sofi, B. B. M. A. (2026) · East European Journal of Psycholinguistics · doi:10.29038/eejpl.2026.13.1.al-s
Li, X. (2026) · Journal of higher education teaching. · doi:10.62517/jhet.202615233
Loor, J. M. P., Villon, J. A. U., & Coloma, N. S. O. (2026) · SATHIRI · doi:10.32645/13906925.1484
Tang, W. K.-W., & Zhang, X.-Y. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.103261
Li, Y.-R., Luo, W.-C., Lin, L., & Lee, S.-Y. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-32115-2_11
Chen, X., & Li, Y. (2026) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2026.2706630 · Cited by 2 · see citing works
Yin, J., Xie, X., Guo, S., Chen, J., & Cui, J. (2026) · Big Data and Cognitive Computing · doi:10.3390/bdcc10080262
Mao, Y., Wu, H., & Li, J. (2026) · European Journal of Education · doi:10.1111/ejed.70849
- Authors
- Moybeka, A. M. S., Syariatin, N., Tatipang, D. P., Mushthoza, D. A., Dewi, N. P. J. L., & Tineh, S.
- Affiliations
- Universitas Tribuana Kalabahi (ID)
- Universitas Muhammadiyah Luwuk Banggai (ID)
- Manado State University (ID)
- Universitas Qomaruddin (ID)
- Universitas Persatuan Guru 1945 NTT (ID)
- Venue
- Edumaspul - Jurnal Pendidikan
- Publisher
- STKIP Muhammadiyah Enrekang
- Published
- 2023-10-01
- Volume
- 7
- Issue
- 2
- Pages
- 2444-2454
- ISSN
- 2548-8201 (ISSN-L)
- 2580-0469
- OpenAlex
- W4393173319
- Cited by
- 118
- References
- 8
- Citations by year
- 2026: 34 · 2025: 55 · 2024: 26 · 2023: 3
- FWCI
- 21.32
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-sa
- Locations
- Edumaspul - Jurnal Pendidikan (publishedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Physical Sciences › Computer Science › Information Systems › English Language Learning and Teaching
- Keywords
- artificial intelligence in education, English as a foreign language, student motivation, intrinsic motivation, self-efficacy, personalized language learning, AI-assisted language learning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
