Reimagining Intelligent Computer-Assisted Language Education

Reimagining Intelligent Computer-Assisted Language Education

Author: Stevkovska, Marija

Publisher: IGI Global

Published: 2024-10-18

Total Pages: 536

ISBN-13:

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Reimagining language education through intelligent technologies and computer assistance marks a shift in how we approach language learning in the digital age. With advancements in artificial intelligence and machine learning, there is potential to transform traditional methods into personalized educational experience. Intelligent systems now offer adaptive learning pathways that cater to individual proficiency levels, learning styles, and progress rates, making language education more accessible and effective. These technologies beg further exploration to effectively provide real-time feedback and support, creating a more engaging and responsive educational experience. Reimagining Intelligent Computer-Assisted Language Education explores fundamental aspects of educational technology to improve language teaching and learning. It reimagines educational practice for language teaching and learning through the integration of educational technology for making the language teaching and learning process more efficient and engaging, while improving learner performance and progress. This book covers topics such as artificial intelligence, language education, and academic writing, and is a useful resource for education professionals, language learners, computer engineers, academicians, scientists, and researchers.


Reimagining Education

Reimagining Education

Author: Sharon Mistretta

Publisher: BoD – Books on Demand

Published: 2024-01-24

Total Pages: 412

ISBN-13: 1837697302

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Education stakeholders are at a crossroads where teaching and learning paths intersect with technologies fueled by emerging artificial intelligence. Educators who observe the residual effects of a global pandemic are left to wonder what creative technology solutions that sustain teaching and learning amidst mutating contagions should be retained, abandoned, or re-imagined to create sustainable pedagogy practices. In this book about e-learning, invited authors analyze the impacts of overarching issues facing educators across the globe to rethink how they deliver content and assess students' learning. A global community of scholars and researchers contributed twenty chapters to examine artificial intelligence, alternative assessments, education policy, creative technology, creative lesson plans, and emerging workforce trends to foster emerging paradigms in the post-pandemic era.


Artificial Intelligence Applications in Higher Education

Artificial Intelligence Applications in Higher Education

Author: Helen Crompton

Publisher: Taylor & Francis

Published: 2024-10-31

Total Pages: 359

ISBN-13: 1040159826

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Artificial Intelligence Applications in Higher Education offers direct examples of how artificial intelligence systems can be applied in today’s higher education contexts. As the use of AI rapidly advances within colleges and universities worldwide, there is a pressing need to showcase the challenges, opportunities, and ethical considerations that are inherent in deploying these advanced computational tools. This book highlights the multifaceted roles of AI across teaching and learning, institutional administration, student data management, and beyond. Its collected case studies furnish actionable insights into enhancing academic institutions and addressing diverse learning priorities, such as motivation, engagement, feedback, and achievement goals. This valuable reference for researchers, designers, administrators, teaching faculty, and graduate students across various university programs offers fresh perspectives on generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, remote learning, and more.


AI in Language Teaching, Learning, and Assessment

AI in Language Teaching, Learning, and Assessment

Author: Pan, Fang

Publisher: IGI Global

Published: 2024-02-12

Total Pages: 406

ISBN-13:

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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.


AI and education

AI and education

Author: Miao, Fengchun

Publisher: UNESCO Publishing

Published: 2021-04-08

Total Pages: 50

ISBN-13: 9231004476

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Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]


Computer-Assisted Language Learning: Concepts, Methodologies, Tools, and Applications

Computer-Assisted Language Learning: Concepts, Methodologies, Tools, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2019-01-04

Total Pages: 2231

ISBN-13: 1522576649

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In a diverse society, the ability to cross communication barriers is critical to the success of any individual personally, professionally, and academically. With the constant acceleration of course programs and technology, educators are continually being challenged to develop and implement creative methods for engaging English-speaking and non-English-speaking learners. Computer-Assisted Language Learning: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines the relationship between language education and technology and the potential for curriculum enhancements through the use of mobile technologies, flipped instruction, and language-learning software. This multi-volume book is geared toward educators, researchers, academics, linguists, and upper-level students seeking relevant research on the improvement of language education through the use of technology.


Predictive Intelligence Using Big Data and the Internet of Things

Predictive Intelligence Using Big Data and the Internet of Things

Author: Gupta, P.K.

Publisher: IGI Global

Published: 2018-12-28

Total Pages: 316

ISBN-13: 1522562117

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With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time. Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.


Re-imagining University Assessment in a Digital World

Re-imagining University Assessment in a Digital World

Author: Margaret Bearman

Publisher: Springer Nature

Published: 2020-07-13

Total Pages: 297

ISBN-13: 3030419568

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This book is the first to explore the big question of how assessment can be refreshed and redesigned in an evolving digital landscape. There are many exciting possibilities for assessments that contribute dynamically to learning. However, the interface between assessment and technology is limited. Often, assessment designers do not take advantage of digital opportunities. Equally, digital innovators sometimes draw from models of higher education assessment that are no longer best practice. This gap in thinking presents an opportunity to consider how technology might best contribute to mainstream assessment practice. Internationally recognised experts provide a deep and unique consideration of assessment’s contribution to the technology-mediated higher education sector. The treatment of assessment is contemporary and spans notions of ‘assessment for learning’, measurement and the roles of peer and self within assessment. Likewise the view of educational technology is broad and includes gaming, learning analytics and new media. The intersection of these two worlds provides opportunities, dilemmas and exemplars. This book serves as a reference for best practice and also guides future thinking about new ways of conceptualising, designing and implementing assessment.


Transforming the Internet of Things for Next-Generation Smart Systems

Transforming the Internet of Things for Next-Generation Smart Systems

Author: Alankar, Bhavya

Publisher: IGI Global

Published: 2021-06-04

Total Pages: 173

ISBN-13: 1799875431

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The internet of things (IoT) has massive potential to transform current business models and enhance human lifestyles. With the current pace of research, IoT will soon find many new horizons to touch. IoT is now providing a base of technological advancement in various realms such as pervasive healthcare, smart homes, smart cities, connected logistics, automated supply chain, manufacturing units, and many more. IoT is also paving the path for the emergence of the digital revolution in industrial technology, termed Industry 4.0. Transforming the Internet of Things for Next-Generation Smart Systems focuses on the internet of things (IoT) and how it is involved in modern day technologies in a variety of domains. The chapters cover IoT in sectors such as agriculture, education, business and management, and computer science applications. The multi-disciplinary view of IoT provided within this book makes it an ideal reference work for IT specialists, technologists, engineers, developers, practitioners, researchers, academicians, and students interested in how IoT will be implemented in the next generation of smart systems and play an integral role in advancing technology in the future.


Second Language Teacher Professional Development

Second Language Teacher Professional Development

Author: Karim Sadeghi

Publisher: Springer Nature

Published: 2023-03-23

Total Pages: 314

ISBN-13: 3031120701

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This edited book brings together documented evidence and theoretical propositions on the essential mediating role of digital technology in L2 teacher education and professional development. Topics range from technological affordances in teacher education, to challenges and responses to emergency transition from face to face to virtual professional development, to successful practices of online teacher training courses. Bringing together examples from various countries and contexts of how L2 teacher trainers and trainee teachers view these forced changes and react to them, the volume fills a gap in the use of digital technology in contexts where teacher educators and trainee teachers are not technology-literate and not prepared for technology-oriented education. In addition to a Foreword by Mark Warschauer and Introduction and Conclusion chapters by Editors, the volume features 13 full-length chapters by some of the well-known experts from countries such as Australia, Finland, Mexico, the UK, the USA, Spain, Singapore, Turkey and Sweden.