Integrating Artificial Intelligence in Education: Enhancing Teaching Practices for Future Learning

Integrating Artificial Intelligence in Education: Enhancing Teaching Practices for Future Learning

Ricardo Alexandre Peixoto de Queiros, Mário Cruz, Carla Pinto, Daniela Mascarenhas
Pages: 300
DOI: 10.4018/979-8-3693-3944-2
ISBN13: 9798369339442|ISBN13 Softcover: 9798369349816|EISBN13: 9798369339459
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Description & Coverage
Description:

Introduction

As we stand at the intersection of education and technology, Artificial Intelligence (AI) emerges as a transformative force in reshaping the teaching-learning realm. This book seeks to explore the multifaceted impacts of AI on educational practices, from classrooms to online learning environments. We invite contributions that delve into the integration, challenges, and future perspectives of AI in the teaching-learning process.

Objective of the book

This book aims to provide a comprehensive understanding of how AI is influencing and revolutionizing the teaching-learning process. We seek contributions that explore both the opportunities and challenges presented by AI technologies in several educational settings.

Target audience

This book is intended for educators, researchers, policymakers, and practitioners in the field of education and technology. It serves as a valuable resource for understanding the evolving role of AI in shaping the future of education.

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Editor/Author Biographies
Carla Pinto is a Coordinating Professor in the School of Engineering, Polytechnic of Porto, Portugal. She has a PhD degree in the scientific area of Mathematics, since January 2004. Her main research topic is epidemiology, in particular Mathematical Epidemiology. She is interested in mathematical challenges and their role in providing advice on public health policies. Dr. Pinto is trained in Nonlinear Dynamics, Bifurcation Theory. Previous research included the analysis of Central Pattern Generators for Animal and Robot Locomotion, coupled cell networks, neuron-like equations (Hodgkin-Huxley equations, Fitz-Hugh Nagumo, Morris-Lecar).
Daniela Mascarenhas is an assistant teacher at the Porto School of Education linked to the training of early childhood educators and teachers from the 1st and 2nd Basic Education Cycle. She has published several articles and she is a researcher in several projects, allocated to the CeiED and INED research centers. Participating as a trainer in several ongoing training actions for teachers and educators in Portugal and Sao Tome and Principe. Post-Doctorate in Educational Sciences, in the specialty of Pedagogical Supervision, by the University of Minho (2019). PhD in Education and Didactics of Mathematics by the Faculty of Education Sciences of the University of Granada (2011). She obtained the Diploma of Advanced Studies in Education and Didactics of Mathematics by the Faculty of Education Sciences of the University of Granada (2010). Graduated in Mathematics from the University of Minho (2003).
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