Meeting the challenges of decoding training in English as a foreign/second language listening education: current status and opportunities for technology-assisted decoding training

Jia, Chengyuan; Hew, Khe Foon

doi:10.1080/09588221.2021.1974051

Cited by 5 publications

(2 citation statements)

References 53 publications

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“…These methods often struggle to accommodate the diverse learning styles, paces, and preferences of EFL learners, resulting in a one-size-fits-all approach that may not effectively address individual needs [20]. Furthermore, the development of language proficiency and self-regulated learning skills among EFL learners is hindered by limited opportunities for immersive language practice and individualized support [21]. This limitation can impede learners' ability to engage in authentic language use, self-assessment, and metacognitive strategies essential for autonomous learning [22].…”

Section: Problem Statement and Research Questionsmentioning

confidence: 99%

Examining the Impact of Chatbot-Based Language Learning Support, Adaptive Learning Algorithms, and Virtual Reality Language Immersion on EFL Learners’ Language Learning Proficiency and Self-Regulated Learning Skills

Bahari,

Smith,

Scott

2024

Preprint

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The rapid advancement of technology has revolutionized language learning, introducing innovative methods that depart from traditional instructional approaches. This study employs a mixed-methods research design to examine the impact of chatbot-based language learning support, adaptive learning algorithms, and virtual reality language immersion on the language learning proficiency and self-regulated learning skills of English as a Foreign Language (EFL) learners. The research design includes quantitative analysis of language proficiency scores and qualitative exploration of learner experiences with the technological interventions. The theoretical implications of this study are rooted in constructivist and socio-cultural learning theories, which underpin the design and implementation of the technological interventions. The triangulation of qualitative and quantitative data revealed that the participants' positive perceptions of the effectiveness of chatbot-based language learning support were supported by the quantitative results, with the variable "chat-bot based support" demonstrating a substantial mean difference compared to other groups. This convergence of findings reinforces the positive influence of chatbot-based support on language learning outcomes and highlights the importance of integrating theoretical perspectives with empirical evidence to gain a comprehensive understanding of the impact of technological interventions on language learning outcomes for EFL learners. The study's findings provide insights into the potential of these technological interventions to optimize language learning outcomes for EFL learners and promote autonomous learning behaviors.

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Section: Problem Statement and Research Questionsmentioning

confidence: 99%

Examining the Impact of Chatbot-Based Language Learning Support, Adaptive Learning Algorithms, and Virtual Reality Language Immersion on EFL Learners’ Language Learning Proficiency and Self-Regulated Learning Skills

Bahari,

Smith,

Scott

2024

Preprint

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“…The Role of AI in Second Language Acquisition AI technologies, such as natural language processing and machine learning, have the potential to revolutionize SLA. In recent years, various AI-based tools and applications have been developed to support language learning, offering personalized feedback, automatic speech recognition, and language assessment features (Ma, 2019). The integration of AI in SLA holds promise for improving learners' engagement, motivation, and overall language proficiency.…”

Section: Review Of Related Literaturementioning

confidence: 99%

Enhancing Second Language Acquisition through Artificial Intelligence (AI): Current Insights and Future Directions

Kumar Betal

2023

JRSPELT

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Second language acquisition (SLA) has traditionally been a complex process, requiring significant time and effort on the part of learners. However, recent advancements in artificial intelligence (AI) present novel opportunities for enhancing SLA outcomes. This article explores the current insights and future directions of using AI technologies to augment SLA. This research paper explores the role of artificial intelligence (AI) in second language acquisition (SLA). As AI technology continues to evolve, it presents new opportunities to enhance language learning experiences and facilitate effective SLA. However, challenges related to authenticity, individualization, and ethical considerations must be addressed to fully leverage AI's potential in SLA. This paper investigates the current and potential applications of AI and discusses its impact on SLA, highlighting opportunities and potential pitfalls.

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Spoken Word Form Recognition with a Mobile Application: Comparing Azerbaijani and Japanese Learners

Matthews

Lange

Wiest

2023

Vocabulary Learning in the Wild

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Meeting the challenges of decoding training in English as a foreign/second language listening education: current status and opportunities for technology-assisted decoding training

Cited by 5 publications

References 53 publications

Examining the Impact of Chatbot-Based Language Learning Support, Adaptive Learning Algorithms, and Virtual Reality Language Immersion on EFL Learners’ Language Learning Proficiency and Self-Regulated Learning Skills

Examining the Impact of Chatbot-Based Language Learning Support, Adaptive Learning Algorithms, and Virtual Reality Language Immersion on EFL Learners’ Language Learning Proficiency and Self-Regulated Learning Skills

Enhancing Second Language Acquisition through Artificial Intelligence (AI): Current Insights and Future Directions

Spoken Word Form Recognition with a Mobile Application: Comparing Azerbaijani and Japanese Learners

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