Artificial Intelligence and Human Agency in Education: Volume Two by Adarkwah, Michael Agyemang; Amponsah, Samuel; Huang, Ronghuai; Thomas, Michael;

Long description:

This book provides a comprehensive insight into the transformative role of artificial intelligence (AI) in education, emphasizing its implications on pedagogy, learner experiences, and institutional practices. It examines how AI can be harnessed to enhance educational equity, accessibility, and innovation across various educational contexts. Key areas of inquiry include:

• How AI personalizes learning experiences to cater to diverse learner needs and preferences.
• Investigating the potential of AI to bridge gaps in access to quality education for marginalized groups and measures for promoting digital well-being.
• The evolving role of educators in an AI-enhanced learning environment, focusing on continuous learning and adaptation.
• Utilizing AI analytics to inform teaching strategies and improve educational outcomes.
• The impact of AI on fostering collaboration among students and educators.
• Exploring innovative assessment methods powered by AI, including formative and summative evaluation techniques.
• Anticipating the next wave of AI developments and their potential implications for the educational landscape.

This book serves as a comprehensive resource for educators, policymakers, and researchers, providing insights into the multifaceted effects of AI on teaching and learning.

Readers who wish to learn more about this topic can refer to 'Artificial Intelligence and Human Agency in Education: Volume One'.

Table of Contents:

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Preface.- Part I Cognitive Context.- Rethinking education: Artificial Intelligence-powered learning tools, Human-Computer Interaction and Transhumanism on Cognitive learning and wellbeing.- Personalizing Education in the AI Era: The Comprehensive Impact of Customized Chatbots Across Educational Domains.- Impact of Artificial Intelligence on Education: Does ChatGPT facilitate or impede learning?.- Pedagogical Language Model Competence – The Requisite Knowledge and Skills for Modern Classroom Relevancy.- Part II Social Context.- Enhancing Inclusive Self-Directed Learning for Students with Visual Impairments in Higher Education: A Focus on Namibian Context.- Artificial Intelligence and Academic Auditing: Bias in Systems and Institutions.- AI representation of African culture: Perspectives, challenges, and implications for media studies.- Generative AI and the [South] African University Curriculum: A Tool for Decolonization or a Threat to Progress.- Part III Psychological Context.- Memory in the digital age: are we offloading or overloading.- Modelling Pre-Service Business Teachers’ Motivational Beliefs and Use of Artificial Intelligence in Lesson Planning-Preparation During Teaching Practicum.- Leveraging Generative AI in Designing and Delivering Individualized Responsive Feedback for Pre-Service Teachers in Higher Education.