Sep 2026· Journal of Language Teaching and Research· 0 citations
AI in Service Interactions
Abstract
The integration of generative artificial intelligence (AI) chatbots into English as a Foreign Language (EFL) instruction has generated increasing interest, particularly in relation to vocabulary learning and learner autonomy. However, empirical evidence on their impact on productive vocabulary development remains limited, especially in the EFL context in the Middle East. This study investigated the impact of a generative AI chatbot on Saudi EFL students' productive vocabulary development and learner autonomy. Employing a quasi-experimental one-group pretest–posttest design, data were collected from 30 undergraduate EFL learners over a four-week instructional intervention. Participants completed a productive vocabulary test before and after the intervention, and a learner autonomy questionnaire at the end of the study. Paired-samples t-test results revealed statistically significant improvement in the students’ productive vocabulary performance following the chatbot-supported intervention. Descriptive analysis of the questionnaire responses indicated generally positive perceptions of learner autonomy, particularly in goal setting, strategy use, self-monitoring, and responsibility for learning. The findings suggest that generative AI chatbots can serve as effective supplementary tools for enhancing productive vocabulary learning and fostering learner autonomy in EFL contexts. The study offers several pedagogical implications and directions for future research.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
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A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
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Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduSep 16, 2026