This book investigates how artificial intelligence (AI) will impact the educational, cognitive, social, and psychological processes of teaching and learning in diverse ways across different educational levels. It focuses on a variety of key areas of enquiry, such as:
Learner motivation, engagement, self-esteem, self-efficacy, self-regulation, critical and reflective thinking, and learning outcomes.
The psychological impact of AI on teachers (e.g. changes in job roles, professional identity, work motivation, job satisfaction, and work-life balance).
The ethical considerations of using AI in education (e.g. issues of privacy, bias, and safety).
Emotional intelligence in AI-based teaching and learning.
The impact of human-computer interaction on cognition, memory, and mental health.
Cognitive and self-directed learning in adult, lifelong, and inclusive education.
Humanization of AI in education.
Technology fatigue and technostress in education.
This book serves as a reference for various stakeholders in the field of education and assists them in understanding the impact of AI on both teachers and learners.
Readers who wish to learn more about this topic can refer to 'Artificial Intelligence and Human Agency in Education: Volume Two'.
This book investigates how artificial intelligence (AI) will impact the educational, cognitive, social, and psychological processes of teaching and learning in diverse ways across different educational levels. It focuses on a variety of key areas of enquiry, such as:
Learner motivation, engagement, self-esteem, self-efficacy, self-regulation, critical and reflective thinking, and learning outcomes.
The psychological impact of AI on teachers (e.g. changes in job roles, professional identity, work motivation, job satisfaction, and work-life balance).
The ethical considerations of using AI in education (e.g. issues of privacy, bias, and safety).
Emotional intelligence in AI-based teaching and learning.
The impact of human-computer interaction on cognition, memory, and mental health.
Cognitive and self-directed learning in adult, lifelong, and inclusive education.
Humanization of AI in education.
Technology fatigue and technostress in education.
This book serves as a reference for various stakeholders in the field of education and assists them in understanding the impact of AI on both teachers and learners.
Readers who wish to learn more about this topic can refer to 'Artificial Intelligence and Human Agency in Education: Volume Two'.
Michael Agyemang Adarkwah
Artificial Intelligence in Education Human-AI Interaction Technostress Artificial Intelligence and Psychology Human-Machine Collaboration Emotional Intelligence in AI-based Teaching and Learning Humanization of AI in Education Delf-directed Learning Impact of Human-Computer Interaction on Cognition Impact of Human-Computer Interaction on Memory