The DOI matches its Crossref record; 65 of the 66 references it cites were found in a registry or an index.
Using AI-driven chatbots to foster Chinese EFL students’ academic engagement: An intervention study
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“One intervention study by Wang and Xue (2024), which focused on Chinese EFL students using AI-powered chatbots, found higher scores across all three aspects of engagement: affective, behavioral, and cognitive.”
From Peer feedback and ChatGPT-generated feedback on Japanese EFL students’ engagement in a foreign language writing context (2025) · cites this paper as Wang and Xue (2024)
Citations
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Chen, J. (2025) · Learning and Motivation · doi:10.1016/j.lmot.2025.102199 · Cited by 10
Pan, Z., & Zhang, Y. (2025) · Learning and Motivation · doi:10.1016/j.lmot.2025.102214 · Cited by 13
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“In informal L2 speaking practice, GenAI tools offer interactive and adaptive learning experiences that can boost learner engagement [71].”
Zhang, H. (2025) · Learning and Motivation · doi:10.1016/j.lmot.2025.102164 · Cited by 12
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Jalilzadeh, K., Çelık, F., & Duran, V. (2025) · European Journal of Education · doi:10.1111/ejed.70293 · Cited by 5
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“…(Derakhshan & Yin, 2024; Dewaele & Li, 2020; Wang, Derakhshan et al., 2021, 2022; Wang & Reynolds, 2024; Wang et al., 2023, 2024c, 2024a, 2024b; Wang & Xue, 2024), with psycho-affective factors chief among forces in the success and developmental path of L2 learning (Fan & Wang, 2022; Wang &…”
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“T he landscape of education is rapidly transforming in the contemporary era, propelled by the integration of advanced technologies (Bygstad et al., 2022; Escueta et al., 2020; F. Huang et al., 2024; Y. Wang & Xue, 2024).”
Zhou, W., & Liu, Q. (2025) · BMC Psychology · doi:10.1186/s40359-025-03069-1 · Cited by 14
“…logical reasoning and problem-solving, as well as implementing creative pedagogical technologies such as simulation tools, virtual reality or gamified learning platforms [99] and AI-driven chatbots which can foster EFL learners’ engagement [100] to stimulate creative thinking and expression.”
Wu, X., & Chen, L. (2024) · Learning and Motivation · doi:10.1016/j.lmot.2024.102043 · Cited by 4
Shang, X. (2025) · European Journal of Education · doi:10.1111/ejed.70257 · Cited by 5
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Şan, N. (2024) · Asian-Pacific Journal of Second and Foreign Language Education · doi:10.1186/s40862-024-00306-9 · Cited by 3
“In another recent study, Wang and Xue (2024) concluded that the AI-driven chatbots positively influenced the academic engagement of students in Chinese EFL classrooms.”
Naamati-Schneider, L. (2025) · Medical Science Educator · doi:10.1007/s40670-025-02486-6 · Cited by 3
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“…including context-aware responses, multimodal capabilities, and human-like conversational interactions, enable learners to brainstorm ideas, organise arguments, simulate situational dialogues, and receive immediate feedback on vocabulary, pronunciation, and grammar [35, 36, 52, 54, 55, 68].”
Lu, Q. (2025) · European Journal of Education · doi:10.1111/ejed.70411 · Cited by 5
Wang, H., & Gao, C. (2025) · Scientific Reports · doi:10.1038/s41598-025-33052-0 · Cited by 6
“In Chinese classrooms, conversational bots have boosted international students’ engagement and willingness to communicate, signaling the technology’s potential to bridge linguistic and cultural divides 33 .”
Xing, W., & Teng, M. F. (2026) · European Journal of Education · doi:10.1111/ejed.70439 · Cited by 5
Mwansa, G., Ngandu, M. R., & Mwansa, M. M. (2026) · Educational Technology Quarterly · doi:10.55056/etq.1017 · Cited by 4
“Although AI tools such as ChatGPT [1] and Grammarly [53] reduce workload and increase turnaround time, essential formative engagement may be sidelined [46, 57].”
Liu, X., & Deng, Y. (2026) · European Journal of Education · doi:10.1111/ejed.70459 · Cited by 4
Xing, W., & Teng, M. F. (2026) · System · doi:10.1016/j.system.2026.104030 · Cited by 4
From information evaluation to technology use: Generative AI adoption in Chinese business schools
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From disengaged to self-determined: A latent transition analysis of students’ AI learning motivation
Liang, S., Yau, K. W., Meng, H. M. L., Chiu, T. K. F., King, I., Yam, Y., & Chai, C. S. (2026) · Education and Information Technologies · doi:10.1007/s10639-026-13998-y · Cited by 4
“Second, identifying disengaged students early and providing targeted support such as mentoring, hands-on exposure, or confidence-building activities may prevent long-term disengagement (Wang & Xue, 2024).”
Guo, H., & Zheng, M. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1807643 · Cited by 4
“In contrast, when these needs are undermined, students’ motivation and engagement tend to decline (Wang and Wang, 2024).”
InfluentialEffects of Generative AI Tools On Students’ Critical Thinking: A Three-Level Meta-Analysis
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Dong, Y., Zhang, K., Li, S., & Gu, X. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1762411 · Cited by 4
“For example, Wang and Wang (2024) examined this engagement through the lens of SDT, suggesting that LLMs foster active participation by satisfying learners’ internal psychological needs (Wang and Wang, 2024).”
Liang, H. (2024) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2024.2428675 · Cited by 3
“This exhaustion negatively impacts language learners, hindering their performance in classroom interactions and real-world conversations (Fathi et al. 2023; Qi and Wang 2024; Wang and Xue 2024).”
Cui, T., & Sun, Y. (2025) · European Journal of Education · doi:10.1111/ejed.70109 · Cited by 4
Yu, J., & Huang, X. (2024) · International Conference on Electronic Information Technology and Computer Engineering (EITCE) · doi:10.1145/3711129.3711328 · Cited by 3
Metadata
- Authors
- Wang, Y., & Xue, L.
- Affiliations
- North China University of Water Resources and Electric Power (CN)
- Henan University (CN)
- Corresponding author
- Xue, Lina
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2024-10
- Volume
- 159
- Pages
- 108353
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W4399851955
- Semantic Scholar
- a68f3266774b49456b6421fb13769c69883678ea
- Cited by
- 328
- References
- 62
- Citations by year
- 2026: 122 · 2025: 153 · 2024: 53
- FWCI
- 123.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Computers in Human Behavior (publishedVersion)
- Funders
- Henan University
- Foundation of Henan Educational Committee
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Social Sciences › Education › English Language Learning and Teaching
- Keywords
- academic engagement, EFL learners, Chinese university students, behavioral engagement, cognitive engagement, emotional engagement, second language teaching, educational technology intervention
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