Artificial Intelligence (AI) has gradually confirmed itself to be a transformative force, reshaping how we interact with language in contemporary life. This is particularly evident in English Language Education, where AI, powered by advanced language models like ChatGPT and Copilot, is revolutionizing students’ learning practices of goal setting, management, and self-evaluation. AI is also reforming teachers’ conventions of lesson delivery, activity organization, collaboration facilitation, and students’ learning achievement measurements.
Advanced language models can now provide learners with personalized tools that can analyze their linguistic strengths and weaknesses, aiding in the formulation of language learning goals. AI-driven systems can also offer tailored exercises and real-time feedback, allowing students to navigate their language acquisition at their own pace efficiently. The transformative impact extends to self-evaluation, where AI-powered assessments provide insightful analyses of language proficiency, guiding students in identifying areas for improvement and celebrating achievements. AI can be employed as a personalized language companion, available round-the-clock to support any self-directed learning initiative. The integration of AI in language education empowers students to take charge of their learning journey, fostering a sense of autonomy and motivation. AI has significantly contributed to the shaping of a dynamic and adaptive educational landscape that caters to the unique needs of each English language learner.
In addition, teaching practices are undergoing a transformative shift. Adaptive learning platforms offer educators tools to tailor content to individual student needs, fostering a more personalized and effective teaching approach. AI-driven systems can assist teachers in creating engaging and dynamic learning experiences. Interactions among learners are enhanced through AI-powered tools that promote real-time communication and seamless collaboration among students and educators, transcending traditional classroom boundaries. AI also contributes to a paradigm shift in how learning achievements are measured, moving beyond standardized tests to more holistic assessments that consider individual progress, creativity, and critical thinking skills. As AI continues to evolve, its integration into educational practices reshapes the roles of teachers and students, fostering a more adaptive, collaborative, and student-centered learning environment.
Vietnam Association of English Language Teaching and Research (VTA), in collaboration with the National Foreign Language Project (NFLP) and UEH University, will hold the annual VietTESOL International Convention at UEH University, Ho Chi Minh City from July 26th to July 28th, 2024. The convention will explore the influential role played by AI in the dynamic landscape of formal and informal language learning realms in Vietnam and beyond. It will delve into the possibilities and applicability of AI-driven tools in paving the way for immersive and flexible learning experiences, breaking down geographical barriers and providing access to high-quality language education anytime, anywhere.
We welcome new and contemporary research and practices to unravel the multifaceted impact of AI and technology on English language education. Participants will engage in discussions surrounding curriculum design, student management, teaching methods, assessment, professional development, and classroom climates. The convention aims to shape the future of language education, where AI and language models are integral components of a dynamic and inclusive learning ecosystem. The proposal submissions to the convention are categorized into three strands:
Strand 1: AI Technology
● Online Teaching and Learning
● Blended Learning
● Distance Education
● Technologies and AI-Powered Technologies
● Technology and Learner Autonomy Development
● Technology-Enhanced Testing and Assessment
● Mobile-Assisted Language Learning
Strand 2: Teaching Methods and Applied Linguistics
● Language Skills Teaching
● Language Aspects Teaching
● English Linguistics and Educational Linguistics Teaching
● Intercultural Competence in Language Teaching and Learning
● Global Englishes
● Translanguaging
● English for Specific Purposes (ESP)
● Content and Language Integrated Learning (CLIL)
● English as a Medium of Instruction (EMI)
● Task and Project-Based Language Teaching (TBLT/PBLT)
● Second Language Acquisition (SLA)
● Translation and Interpretation
● Testing and Assessment
● Curriculum Development
● Classroom Management
● Learning Motivation, Engagement, and Learner Autonomy
● Corpus Linguistics
● Computational Linguistics
● Outcome-Based Education
● Policies on Language Teaching and Learning
Strand 3. Professional Development
● In-service Teacher Education
● Teacher Training for the Digital Age
● Professional Development
● Communities of Practice (CoP)
● Practical Teaching Contemplation
● Teacher Identity and Autonomy
Please visit the call for abstracts for further information.
