Intelligent Call Granular Systems And Learner Data Short Papers From Eurocall 2022
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Intelligent CALL, granular systems and learner data: short papers from EUROCALL 2022
Author: Birna Arnbjörnsdóttir
language: en
Publisher: Research-publishing.net
Release Date: 2022-12-12
The 2022 EUROCALL conference was held in Reykjavik on 17-19 August 2022 as a fully online event hosted by the Vigdís Finnbogadóttir Institute for Foreign Languages, the University of Iceland, and the Árni Magnússon Institute for Icelandic Studies. The conference theme was Intelligent CALL, granular systems and learner data. This theme reflects the newest developments in the field of technology for language learning. Subfields such as natural language processing and machine learning not only enable smoother spoken and written communication between human learners and computers, but also offer ways in which language learning can be tailored to the needs of individual learners. By adding components of automatic speech recognition, text-to-speech systems, automatic feedback mechanisms, and tracking systems monitoring learners’ progress and their use of tools, applications are becoming better targeted. All of this is used to optimise the learning experience of individual learners. This volume includes 66 short papers by some of the EUROCALL 2022 presenters and it offers a combination of research studies and theoretical papers reflecting the subthemes of the conference. The articles are ordered alphabetically.
The Evolution of Artificial Intelligence in Higher Education
Author: Miltiadis D. Lytras
language: en
Publisher: Emerald Group Publishing
Release Date: 2024-11-25
The Evolution of Artificial Intelligence in Higher Education is a comprehensive guide to the transformative potential of AI in the higher education landscape, focused on the need to nurture technology literacy among educators and learners.
Insights into AI and Language Teaching and Learning
Overview Language educators often have varied levels of comfort and expertise with emerging technologies like Artificial Intelligence (AI). This creates a pedagogical gap that must be filled to ensure that educators can make informed choices about the technologies they integrate into their classrooms. The primary aim of “Insights into AI and Language Teaching” is to function as a comprehensive training guide for language educators interested in incorporating AI technologies into their teaching practice for foreign/second language education across a variety of language contexts—not just English as a Foreign Language (EFL), but also for the teaching of other foreign languages. This book aims to act as a bridge, guiding teachers from a basic understanding of AI to a level where they can confidently employ it as part of their teaching toolbox. As teachers have a long-lasting impact on how students view learning, adopt new technologies, and even how they perceive themselves, this book will, therefore, focus not only on technology but also on how teachers can be empowered to use AI in a way that enhances their influence and the positive impact they can have on their students. Table of Contents* 1. Introduction Part 1: Overview of the Issues 2. Historical Foundations of AI – Mathias Schulze 3. Challenges of AI in Language Education – Benjamin Luke Moorhouse, Yuwei Wan 4. AI Literacy – Antonie Alm 5. AI and Assessment – Peter Crosthwaite, Qing Ma 6. Ethical Considerations of AI – Gilbert Dizon 7. Research Methods and AI – Yijen Wang Part 2: Establishing the Foundations of Good Practice 8. Motivational Issues in AI Integration – Chun Lai, Zhan Shi 9. AI and Teaching Communities – Louise Ohashi 10. Teacher and AI Collaboration – Jaeho Jeon, Seongyong Lee 11. Teacher’s Practical Pedagogical Knowledge for AI – Zoe Handley 12. Professional Development and Learner Training for AI – Glenn Stockwell Part 3: AI in Practice 13. Machine Translation – Sangmin Michelle Lee, Nayeon Kang 14. Generative AI and Chatbots – Lucas Kohnke, Curtis Green-Eneix 15. AI-integrated Language Learning Applications – Eneyire Godwin Omuya, Xin Zhao, Minna Rollins 16. Feedback and Automated Writing Evaluation (AWE) – Volker Hegelheimer, Inyoung Na, Mahdi Duris Index