Description
The introduction of Artificial Intelligence (AI) has ignited a fervent academic discourse. AI's role is as both a powerful ally and a potential adversary in education. For instance, ChatGPT is a generative AI which mimics human conversation with impressive precision. Its capabilities span the educational spectrum, from answering questions and generating essays to composing music and coding. Yet, as with any innovation, its advent has sparked a spirited academic dialogue.
AI in Language Teaching, Learning, and Assessment seeks to address these concerns with rigor and thoughtfulness. It explores the undeniable drawbacks of AI in language education and offers strategic insights into their prevention. It scrutinizes the resources and safeguards required to ensure the ethical and secure integration of AI in academic settings. This book lays out the multifaceted benefits of incorporating AI into language teaching, learning, and assessment. Its chapters dissect the transformative impact of AI on pedagogy, teaching materials, assessment methodologies, applied linguistics, and the broader landscape of language education development. This book is a valuable resource for language learners, educators, researchers, and scholars alike. It beckons to those who are keen on exploring and implementing AI in education, as well as AI developers and experts seeking to bridge the chasm between technology and language education.
Reviews and Testimonials
As the educational horizon continues to evolve, the integration of AI within language education signifies not just a technological shift but a paradigmatic transformation. It signifies a collaborative alliance between human proficiency and technological prowess, fostering an environment where AI serves as a catalyst for personalized, dynamic, and inclusive language learning experiences.
This book serves as a comprehensive guide, a catalyst for discussions, and an impetus for further exploration of AI's role in language education. Through qualitative studies, experimental implementations, and analyses of AI tools like ChatGPT, both the promises and the challenges associated with integrating AI into language teaching and learning have been delineated. The discourse on AI's capacity to adapt to individual learning needs, its ethical implications, and its potential to revolutionize pedagogical dynamics have been both enriching and thought-provoking.
This book aims to inspire educators, researchers, developers, and policymakers to collaboratively pave the way for an educational landscape that embraces innovation, ethics, and inclusive pedagogical practices in the era of AI.
– Fang Pan
Author's/Editor's Biography
Fang Pan (Ed.)
Fang Pan
has a Master’s Degree in Chinese Language Pedagogy. The editor is an experienced teacher of Mandarin in different settings. Before joining London School of Economics and Political Science (LSE), the editor taught all levels of Chinese at Harvard University and won Teaching Distinction Certificates in three consecutive years. The editor has experience in teaching a wide range of Mandarin courses in different settings, including pre-school classes, high school summer programs and university intensive programs. At the LSE, the editor is involved in teaching BSc International Relations and Chinese and BSc Language, Culture and Society undergraduate degree programmes. He was awarded LSE Teaching Excellence Awards several times. In addition to in-class teaching, the editor is one of the writers of the book Cases on Audio-Visual Media in Language Education. The editor attended and presented at several regional and international language conferences. The editor’s past presentation topics include video project, grammar teaching, essay writing and curriculum design.