Leveraging Artificial Intelligence to Predict Young Learner Online Learning Engagement

Xu, Xin; Dugdale, Deborah M.; Wei, Xin; Mi, Wenjuan

doi:10.1080/08923647.2022.2044663

Cited by 8 publications

(6 citation statements)

References 36 publications

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“…These quantitative results align with previous research conducted by Xu et al (2022) and Zheng et al (2021), who also reported positive outcomes of AI-powered language learning instruction on EFL learners' learning achievement. Additionally, the current study's findings are consistent with the research conducted by Hsu et al (2023) and Utami et al (2023), which highlighted the significant impact of AI-assisted language learning on language learners' vocabulary knowledge and writing performance, respectively.…”

Section: Discussionsupporting

confidence: 90%

“…As supported by the existing literature, AI-assisted language learning applications have demonstrated a significant role in enhancing English language learners' overall language learning achievement and specific language skills and sub-skills (Kim, 2019;El Shazly, 2021;Xu et al, 2022;Lee et al, 2023;Schmidt-Fajlik, 2023;Yan, 2023). Moreover, these studies have shown that AI-powered language learning tools contribute to improved self-regulated learning and increased motivation among English language learners (Carpio Cañada et al, 2015;Ebadi and Amini, 2022;Hsu et al, 2023).…”

Section: The Present Studymentioning

confidence: 90%

“…This means that most of the studies revolved around the great impact of AI on learning achievement followed by its impact on learner perceptions. Xu et al (2022) examined the effects of AI-assisted language learning on English language learner speech and interaction. The findings indicated that the AI-assisted language learning tool using a speech recognition feature improved the learners' language learning achievement and engaged them in interactive language learning activities.…”

Section: Artificial Intelligencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Several research studies have explored the influence of AI-assisted language learning tools on English language learners' overall learning achievement and specific language skills and sub-skills (Kim, 2019;Junaidi, 2020;Zheng et al, 2021;Xu et al, 2022;Hsu et al, 2023;Yan, 2023). For instance, Xu et al (2022) conducted a study investigating the impact of AI-powered language learning tools on English language learners' overall learning achievement and found a positive contribution of AI-assisted language learning tools to learners' achievement. Another study by Hsu et al (2023) examined the effects of AI-assisted language learning tools on EFL learners' vocabulary knowledge and revealed that learners utilizing AI tools demonstrated significant improvement and outperformed their peers in vocabulary knowledge.…”

Section: Introductionmentioning

confidence: 99%

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Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning

Wei

2023

Front. Psychol.

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IntroductionThis mixed methods study examines the effects of AI-mediated language instruction on English learning achievement, L2 motivation, and self-regulated learning among English as a Foreign Language (EFL) learners. It addresses the increasing interest in AI-driven educational technologies and their potential to revolutionize language instruction.MethodsTwo intact classes, consisting of a total of 60 university students, participated in this study. The experimental group received AI-mediated instruction, while the control group received traditional language instruction. Pre-tests and post-tests were administered to evaluate English learning achievement across various domains, including grammar, vocabulary, reading comprehension, and writing skills. Additionally, self-report questionnaires were employed to assess L2 motivation and self-regulated learning.ResultsQuantitative analysis revealed that the experimental group achieved significantly higher English learning outcomes in all assessed areas compared to the control group. Furthermore, they exhibited greater L2 motivation and more extensive utilization of self-regulated learning strategies. These results suggest that AI-mediated instruction positively impacts English learning achievement, L2 motivation, and self-regulated learning.DiscussionQualitative analysis of semi-structured interviews with 14 students from the experimental group shed light on the transformative effects of the AI platform. It was found to enhance engagement and offer personalized learning experiences, ultimately boosting motivation and fostering self-regulated learning. These findings emphasize the potential of AI-mediated language instruction to improve language learning outcomes, motivate learners, and promote autonomy.ConclusionThis study contributes to evidence-based language pedagogy, offering valuable insights to educators and researchers interested in incorporating AI-powered platforms into language classrooms. The results support the notion that AI-mediated language instruction holds promise in revolutionizing language learning, and it highlights the positive impact of AI-driven educational technologies in the realm of language education.

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