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

Abstract

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.

A Meta-Analysis of the Effect of Interactive Technologies on Language Education

“…Technology-assisted tools also significantly improve language education, aligning with findings that such tools enhance students' language learning outcomes (Cho, 2021). These tools provide timely feedback and personalized learning environments, enhancing language learning effectiveness and efficiency (Wei, 2023). Platforms like educational interaction platforms offer a wealth of language education-related information, enabling students to access vast amounts of learning resources and promoting educational informatization (Yang, 2022).…”

“…Karimova et al (2023),Tavassoli & Beyranvand (2023),Bu (2023),Ma (2023),Zakian et al (2022),Rahimi et al (2021),Tang (2021),Cho (2021), Abudou (2014,Smith (2012),Shi (2012), Meli (2009 10 GrammarKarimova et al (2023), Lopez Vera (2022,Wang (2022), Shen (2021)Table 2. Subgroup 4 of Included Studies N Focus Study 1 Flipped classroom Sun (2022), Chen (2015), Prefume (2015) 2 Game Sarabchian (2021), Shen (2021), Yan (2019), Yükseltürk et al (2018) 3 Interactive approach Adel (2023), Jiang (2017), Idrees (2017), Cloe (2012) 4 Mobile Bu (2023), Tavassoli & Beyranvand (2023), Zakian et al (2022), Qiu (2017), Abudou (2014), Woloshen (2013) 5 Multimedia Dai et al (2023), Karimova et al (2023), Ma (2023), Liang et al (2023), Tang (2021), Min(2018),Wang (2010),Guo & Jia (2009), Meli (2009,He (2008) 6 Technology-assisted toolWei (2023), Lopez Vera (2022),Yang (2022),Cho (2021),Liang (2021),Kılıç (2020),Kocaman & İskender (2016), Glymph (2012,Sydorenko (2011), Su (2009 …”

Exploring the Opportunities of Implementing Artificial Intelligence (AI) Technology for Teaching Arabic to Non-Native Speakers: A Theoretical Approach

“…Contemporary studies prove that AI has a potential contribution to addressing the challenges in learning a language and enhancing its experiences. (Darwin et al, 2024); (Wei, 2023); (Grassini, 2023), says that "within language learning, AI offers a wealth of tools and technologies to enrich the educational experience. Machine translation, speech technology, chatbots, virtual assistants, and AI-generated content enhance language learning through personalized, interactive, and flexible solutions.…”

Transforming Language Acquisition: Advanced Artificial Intelligence Approaches for Second Language Education in Asia

“…Two, the cultural diversity in Asia, which is vast, would also be recognised, and an enhanced understanding of it. AI-assisted language learning systems are of undisplayed necessity to developing multicultural exchange programmes that, in turn, contribute to the larger goal of fostering tolerance and empathy among learners and lecturers with different linguistic and cultural backgrounds (Wei, 2023). However, the sophisticated development of technology is not replacing localisation and cultural adaptation of language learning but the continuous formation of the proprieties of inclusive language instruction for learners in Asia and the world.…”

“…Yet another exciting element of AI-powered L2 education in Asia is the invention of adaptive tutoring computer programmes, which provide one-on-one assistance with pronunciation, vocabulary, and grammar (Wei, 2023). Using machine learning algorithms, these systems can analyse student data to identify learning trajectories and then offer tailored interventions that will attend to the learning needs of individuals (Pan et al…”