Interaction And Knowledge Construction In Online English Teaching

Within a Chinese English as a Foreign Language (EFL) learning context, this book investigates how teachers and learners interacted and articulated their understanding of English for Research Publication Purposes (ERPP)-related knowledge in a synchronous EFL classroom. The outbreak of the COVID-19 pandemic changed the way people receive education, causing an almost overnight switch from on-campus instruction to distance learning. Under the use of three different learning analytics approaches, this book has moved beyond the usual descriptive understanding of the online learning process to an in-depth exploratory and inferential analysis of the entities, structures, relations, and processes of learning. The findings enrich current understandings of the complexity of ERPP teaching and learning in synchronous learning contexts. These findings also drive us to rethink and reshape the way ERPP instruction is delivered post-pandemic. An essential read for students and scholars of education and academic English. This book will also be a vital source for researchers in the field of learning analytics, data analysis, and data interpretation in language teaching and learning.

"Within a Chinese English as a Foreign Language (EFL) learning context, this book investigates how teachers and learners interacted and articulated their understanding of English for Research Publication Purposes (ERPP)-related knowledge in a synchronous EFL classroom. The outbreak of the COVID-19 Pandemic changed the way people receive education, causing an almost overnight switch from on-campus instruction to distance learning. Under the use of three different learning analytics approaches, this book has moved beyond the usual descriptive understanding of the online learning process to an in-depth exploratory and inferential analysis of the entities, structures, relations, and processes of learning. The findings enrich current understandings of the complexity of ERPP teaching and learning in synchronous learning contexts. These findings also drive us to rethink and reshape the way ERPP instruction is delivered post-pandemic. An essential read for students and scholars of education and academic English. This book will also be a vital source for researchers in the field of learning analytics, data analysis, and data interpretation in language teaching and learning"--

This book utilises expectancy–value theory and undermining effect of extrinsic reward theory to examine the impact of the Central Government-Funded Teacher Education (CGFTE) policy on Chinese pre-service teachers' motivations for choosing the teaching profession. Quantitative data analysis revealed six distinct categories of motivations to teach: teacher influence, job advantages (extrinsic), social value (altruistic), personal interest (intrinsic), others' suggestions, and fallback career. These categories were further exemplified in ten narrative stories. The findings indicate that the CGFTE policy attracts high-school graduates with higher intrinsic motivation to enrol in teacher-training programs, but it seems ineffective in increasing their intrinsic career-choice motivation. It is argued that the CGFTE policy, which emphasises extrinsic benefits but limits professional development, does not have a significant negative impact on pre-service teachers' motivation to choose teaching. This conclusion is supported by the offsetting effects of the policy's restrictive and encouraging aspects, as explained by expectancy–value theory and the qualitative data. Nevertheless, the intrinsic motivation of policy-funded pre-service teachers did not improve as much as that of their self-supported counterparts, indicating potential undermining effects of the policy. The study concludes by discussing the implications of these findings for enhancing the CGFTE policy, teacher training, and career education in China. The book will be an essential read for students and scholars of higher education, Chinese studies, and educational studies in general.

The possibilities of the virtual age can provide many valuable resources and opportunities for teachers, preservice teachers, and teacher educators. However, in order to utilize these resources responsibly and productively, the researchers and practitioners of teaching and teacher education must better understand the new potentials and pitfalls related to teaching and learning that are present within the virtual age. The Handbook of Research on Advancing Teaching and Teacher Education in the Context of a Virtual Age focuses on the recent innovations in teaching and teacher educations as well as innovations in the curriculum and pedagogy of teacher education. It deepens discussions related to how teacher education can address educational possibilities within this digital age. Covering topics such as learning material adaptation, teacher talent pipelines, and metaverse, this major reference work is a comprehensive resource for administrators and educators of both K-12 and higher education, teacher educators, pre-service teachers, government officials, librarians, researchers, and academicians.

This is an open access book. The 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) was held on April 28–30, 2023 at the Xiamen, China. With the development of science and technology, information technology and information resources should be actively developed and fully applied in all fields of education and teaching, so as to promote the modernization of education and cultivate talents to meet the needs of society. From the technical point of view, the basic characteristics of educational informatization are digitalization, networking, intelligentization and multi-media. From the perspective of education, the basic characteristics of educational information are openness, sharing, interaction and cooperation. With the advantage of the network, it can provide students with a large amount of information and knowledge by combining different knowledge and information from various aspects in a high frequency. Therefore, we have intensified efforts to reform the traditional teaching methods and set up a new teaching concept, from the interaction between teachers and students in the past to the sharing between students. In short, it forms a sharing learning mode. For all students, strive to achieve students' learning independence, initiative and creativity. To sum up, we will provide a quick exchange platform between education and information technology, so that more scholars in related fields can share and exchange new ideas. The 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) was held on April 28-30, 2023 in Xiamen, China. IEIT 2023 is to bring together innovative academics and industrial experts in the field of Internet, Education and Information Technology to a common forum. The primary goal of the conference is to promote research and developmental activities in Internet, Education and Information Technology and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in international conference on Internet, Education and Information Technology and related areas.

This is an open access book. The 2022 3rd International Conference on Artificial Intelligence and Education(ICAIE 2022) will be held in Chengdu, China during June 24-26, 2022. The meeting focused on the new trends in the development of "artificial intelligence" and "education" under the new situation, and jointly discussed how to empower and promote the high-quality development of "artificial intelligence" and "education". An ideal platform to share views and experiences with industry experts. The conference invites experts and scholars in the field to conduct wonderful exchanges based on their own research results based on the development of the times. The themes are around artificial intelligence technology and applications; intelligent and knowledge-based systems; information-based education; intelligent learning; advanced information theory and neural network technology ; software computing and algorithms; intelligent algorithms and computing and many other topics.

This book contains the proceedings of the 3rd International Conference on Innovation Design and Digital Technology (ICIDDT 2023) which was held in a hybrid form from November 3rd to 5th, 2023. The conference topics covered in this conference include Smart Village and Future Community, Digital Communication of Traditional Culture, Intelligent Equipment and Innovative Design, Intelligent Interaction and User Experience, Digital Ecology, and Data Analysis. The conference aims to promote communication and cooperation between academia and industry and provide a platform to discuss the latest research results and development trends in the field of innovative design and digital technology. We invited experts, scholars, and industry elites from all over the world to share their research results and experiences from different perspectives and fields. In addition, we would like to thank the conference chair, publication chairs, technical program committee chairs, program committee chairs, conference secretariat, local organizers, and conference sponsors for their financial support in making ICIDDT 2023 a success. We hope that this conference will be organized again in the future with more informative publications and inspirational research published. We would also like to thank the invited speakers for their excellent contributions and for sharing their points of view during their speeches.