Louise Hanna, Dr. David Barr, Dr. Helen Hou and Shauna McGill School of Education, Ulster University, UK ABSTRACT A study was carried out with 33 teachers of Modern Foreign Languages (MFL) to obtain information on the interaction of classroom professionals with Computer Assisted Language Learning (CALL) and digital technologies in Second Language (L2) education. MFL teachers were recruited through Facebook groups in the UK. Research subjects were asked to fill out a questionnaire with CALL-specific statements. Significantly, participants recognised a gap in practice versus the expectation of CALL in the MFL classroom. Overall, participants were shown to be interested adopted and daily users of CALL who appreciated its ease and importance for teaching and learning in L2 pedagogy. KEYWORDS Computer Assisted Language Learning (CALL), Modern Foreign Languages (MFL), teacher attitudes, digital technologies, Second Language (L2) pedagogy, Second Language Acquisit...
Paper Title: Generative AI as a New Paradigm for Personalized Tutoring in Modern Education Authors: Maikel Leon, University of Miami, USA Abstract: Conventional education often falls short when delivering personalized and immediate support to all students, resulting in disparities in understanding and unequal learning opportunities. Generative Artificial Intelligence (GenAI) provides a scalable and cost-effective solution for on-demand tutoring, offering personalized support 24/7. This paper delves into the potential application of GenAI as an on-demand tutoring system, addressing the critical need for immediate and personalized educational support. Implementing GenAI to establish an on-demand tutoring system that delivers personalized, real-time assistance is vital in meeting the demands of today’s academic landscape. Critical components of this approach encompass advanced natural language processing techniques to comprehend and respond to student inquiries, machine learning algo...
Paper Title: Problems of Activating Students as Teachers with ICT-based Training Authors: Khishigbayar. G., Chuluun-Erdene. B., Azjargal. D., Ichinhorloo. A., Batkhishig. A, Sarantsatsralt. B. and Tserennadmid. L., Mongolian State University of Education Arkhangai province, Mongolia Abstract: Through this study, we organized mixed training based on information and communications technology and conducted experiments on how students’ age, gender, course difference, level of language, and other factors influenced learning skills via active training. The collected information was divided into four parts, and the analysis was undertaken using ANOVA (a method that shows differences between two or more items using variation analysis). From the results of the research, it became clear that learners' skills increased through the use of content administrative systems, generally independent of age and gender Keywords: ICT-based Training, Knowledge Creation, Active Training, Elect...
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