Ali, N., Ahmed, L., & Rose, S. (2018). Identifying predictors of students’ perception of and engagement with assessment feedback.
Active Learning in Higher Education,
19(3), 239-251.
https://doi.org/10.1177/1469787417735609
Allen, T. J., & Mizumoto, A. (2024). ChatGPT Over My Friends: Japanese English-as-a-Foreign-Language Learners’ Preferences for Editing and Proofreading Strategies.
RELC Journal,
0(0).
https://doi.org/10.1177/00336882241262533
Asadi, M., Ebadi, S., & Mohammadi, L. (2025). The impact of integrating ChatGPT with teachers’ feedback on EFL writing skills.
Thinking Skills and Creativity,
56, 101766.
https://doi.org/10.1016/j.tsc.2025.101766
Barker, D. (2007). A personalized approach to analyzing ‘cost’and ‘benefit’in vocabulary selection.
System,
35(4), 523-533.
https://doi.org/10.1016/j.system.2007.09.001
Barrot, J. S. (2023). Using ChatGPT for second language writing: Pitfalls and potentials.
Assessing Writing,
57, 100745.
https://doi.org/10.1016/j.asw.2023.100745
Basham, J. D., Hall, T. E., Carter, R. A., & Stahl, W. M. (2016). An Operationalized Understanding of Personalized Learning.
Journal of Special Education Technology,
31(3), 126-136.
https://doi.org/10.1177/0162643416660835
Black, P., & Wiliam, D. (1998). Assessment and Classroom Learning.
Assessment in Education: Principles, Policy & Practice,
5(1), 7–74.
https://doi.org/10.1080/0969595980050102
Boelens, R., Voet, M., & De Wever, B. (2018). The design of blended learning in response to student diversity in higher education: Instructors’ views and use of differentiated instruction in blended learning.
Computers & Education,
120, 197-212.
https://doi.org/10.1016/j.compedu.2018.02.009
Brown, Tom, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D. Kaplan, Prafulla Dhariwal, Arvind Neelakantan et al. "Language models are few-shot learners." Advances in neural information processing systems 33 (2020): 1877-1901.
Bruning, R., & Horn, C. (2000). Developing Motivation to Write.
Educational Psychologist,
35(1), 25–37.
https://doi.org/10.1207/S15326985EP3501_4
Cao, S., & Zhong, L. (2023). Exploring the effectiveness of ChatGPT-based feedback compared with teacher feedback and self-feedback: Evidence from Chinese to English translation.
arXiv preprint arXiv:2309.01645.
https://doi.org/10.48550/arXiv.2309.01645
Chen, C. M., & Chung, C. J. (2008). Personalized mobile English vocabulary learning system based on item response theory and learning memory cycle.
Computers & Education,
51(2), 624-645.
https://doi.org/10.1016/j.compedu.2007.06.011
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE access, 8, 75264-75278.
Er, E., Dimitriadis, Y., & Gašević, D. (2020). Collaborative peer feedback and learning analytics: theory-oriented design for supporting class-wide interventions.
Assessment & Evaluation in Higher Education,
46(2), 169–190.
https://doi.org/10.1080/02602938.2020.1764490
Escalante, J., Pack, A. & Barrett, A. AI-generated feedback on writing: insights into efficacy and ENL student preference.
Int J Educ Technol High Educ 20, 57 (2023).
https://doi.org/10.1186/s41239-023-00425-2
Flower, L., & Hayes, J. R. (1981). A cognitive process theory of writing.
College Composition & Communication,
32(4), 365-387.
https://doi.org/10.58680/ccc198115885
Graham, S., & Perin, D. (2007). A meta-analysis of writing instruction for adolescent students.
Journal of Educational Psychology, 99(3), 445–476.
https://doi.org/10.1037/0022-0663.99.3.445
Graham, S., & Sandmel, K. (2011). The Process Writing Approach: A Meta-analysis.
The Journal of Educational Research,
104(6), 396–407.
https://doi.org/10.1080/00220671.2010.488703
Guo, K., Wang, D. To resist it or to embrace it? Examining ChatGPT’s potential to support teacher feedback in EFL writing.
Educ Inf Technol 29, 8435–8463 (2024).
https://doi.org/10.1007/s10639-023-12146-0
Hattie, J., & Timperley, H. (2007). The Power of Feedback.
Review of Educational Research,
77(1), 81-112.
https://doi.org/10.3102/003465430298487
Hayes, J. R. (2012). Modeling and Remodeling Writing.
Written Communication,
29(3), 369-388.
https://doi.org/10.1177/0741088312451260
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education promises and implications for teaching and learning. Center for Curriculum Redesign.
Huang, X., Zou, D., Cheng, G., Chen, X., & Xie, H. (2023). Trends, Research Issues and Applications of Artificial Intelligence in Language Education.
Educational Technology & Society,
26(1), 112–131.
https://www.jstor.org/stable/48707971
Jansen, T., Vögelin, C., Machts, N., Keller, S., Köller, O., & Möller, J. (2021). Judgment accuracy in experienced versus student teachers: Assessing essays in English as a foreign language.
Teaching and Teacher Education,
97, 103216.
https://doi.org/10.1016/j.tate.2020.103216
Junqueira, L., & Payant, C. (2015). “I just want to do it right, but it's so hard”: A novice teacher's written feedback beliefs and practices.
Journal of Second Language Writing,
27, 19-36.
https://doi.org/10.1016/j.jslw.2014.11.001
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education.
Learning and individual differences,
103, 102274.
https://doi.org/10.1016/j.lindif.2023.102274
Klašnja-Milićević, A., Vesin, B., Ivanović, M., & Budimac, Z. (2011). E-Learning personalization based on hybrid recommendation strategy and learning style identification. Computers & education, 56(3), 885-899.
https://doi.org/10.1016/j.compedu.2010.11.001
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). Exploring generative artificial intelligence preparedness among university language instructors: A case study.
Computers and Education: Artificial Intelligence,
5, 100156.
https://doi.org/10.1016/j.caeai.2023.100156
Lee, M., Liang, P., & Yang, Q. (2022, April). Coauthor: Designing a human-ai collaborative writing dataset for exploring language model capabilities. In
Proceedings of the 2022 CHI conference on human factors in computing systems (pp. 1-19).
https://doi.org/10.1145/3491102.3502030
Meyer, J., Jansen, T., Schiller, R., Liebenow, L. W., Steinbach, M., Horbach, A., & Fleckenstein, J. (2024). Using LLMs to bring evidence-based feedback into the classroom: AI-generated feedback increases secondary students’ text revision, motivation, and positive emotions.
Computers and Education: Artificial Intelligence,
6, 100199.
https://doi.org/10.1016/j.caeai.2023.100199
Mohamed, A. M. (2024). Exploring the potential of an AI-based Chatbot (ChatGPT) in enhancing English as a Foreign Language (EFL) teaching: perceptions of EFL Faculty Members.
Education and Information Technologies,
29(3), 3195-3217.
https://doi.org/10.1007/s10639-023-11917-z
Pane, J. F., Steiner, E. D., Baird, M. D., & Hamilton, L. S. (2015). Continued Progress: Promising Evidence on Personalized Learning. Rand Corporation.
Pérez-Segura, J. J., Sánchez Ruiz, R., González-Calero, J. A., & Cózar-Gutiérrez, R. (2022). The effect of personalized feedback on listening and reading skills in the learning of EFL.
Computer Assisted Language Learning,
35(3), 469–491.
https://doi.org/10.1080/09588221.2019.1705354
Shatri, Z. G. (2020). Advantages and disadvantages of using ınformation technology in learning process of students. Journal of Turkish Science Education, 17(3), 420-428.
Shi, M. (2019). The effects of class size and instructional technology on student learning performance.
The International Journal of Management Education,
17(1), 130-138.
https://doi.org/10.1016/j.ijme.2019.01.004
Shibani, A., Knight, S., & Shum, S. B. (2020). Educator perspectives on learning analytics in classroom practice.
The Internet and Higher Education,
46, 100730.
https://doi.org/10.1016/j.iheduc.2020.100730
Shute, V. J. (2008). Focus on Formative Feedback.
Review of Educational Research,
78(1), 153-189.
https://doi.org/10.3102/0034654307313795
Slavuj, V., Meštrović, A., & Kovačić, B. (2016). Adaptivity in educational systems for language learning: a review.
Computer Assisted Language Learning,
30(1–2), 64–90.
https://doi.org/10.1080/09588221.2016.1242502
Su, Y., Lin, Y., & Lai, C. (2023). Collaborating with ChatGPT in argumentative writing classrooms.
Assessing Writing,
57, 100752.
https://doi.org/10.1016/j.asw.2023.100752
Teng, M. F. (2024). “ChatGPT is the companion, not enemies”: EFL learners’ perceptions and experiences in using ChatGPT for feedback in writing.
Computers and Education: Artificial Intelligence,
7, 100270.
https://doi.org/10.1016/j.caeai.2024.100270
Winkler, R., & Söllner, M. (2018, July). Unleashing the potential of chatbots in education: A state-of-the-art analysis. In Academy of management proceedings (Vol. 2018, No. 1, p. 15903). Briarcliff Manor, NY 10510: Academy of Management.
Winstone, N. E., Nash, R. A., Parker, M., & Rowntree, J. (2016). Supporting Learners’ Agentic Engagement With Feedback: A Systematic Review and a Taxonomy of Recipience Processes.
Educational Psychologist,
52(1), 17–37.
https://doi.org/10.1080/00461520.2016.1207538
Yao, Y., Yu, S., Zhu, X., Zhu, S. & Pang, W. (2023). Exploring Chinese university English writing teachers’ emotions in providing feedback on student writing.
International Review of Applied Linguistics in Language Teaching.
https://doi.org/10.1515/iral-2023-0233
Yu, S. (2021). Feedback-giving practice for L2 writing teachers: Friend or foe?.
Journal of Second Language Writing,
52, 100798.
https://doi.org/10.1016/j.jslw.2021.100798
