Integrating Artificial Intelligence in Education
IGI Global (Verlag)
979-8-3693-3944-2 (ISBN)
The education sector faces unprecedented challenges, from rapidly evolving technologies to diverse learner needs, placing immense pressure on educators to adapt and innovate. Traditional teaching methods need help to keep pace with the demands of modern education, leading to gaps in personalized learning and student engagement. Ethical concerns surrounding AI integration in education remain a significant hurdle, requiring careful navigation and responsible implementation. Integrating Artificial Intelligence in Education: Enhancing Teaching Practices for Future Learning offers a comprehensive solution by exploring how AI can address these challenges and revolutionize education. Through a collection of insightful contributions, it provides practical strategies for integrating AI into teaching practices, empowering educators to personalize learning experiences and enhance student engagement. By examining AI ethics and responsible education, the book equips educators with the knowledge needed to navigate the ethical complexities of AI integration. This book is a practical guide for educators, researchers, policymakers, and practitioners who want to harness the potential of AI in education. It provides a roadmap for leveraging AI technologies to create adaptive learning environments, automate classroom tasks, and enhance instructional design. With a strong focus on practical insights and ethical considerations, this book is a valuable resource for anyone looking to navigate the intersection of AI and education.
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).
| Erscheinungsdatum | 21.08.2024 |
|---|---|
| Verlagsort | Hershey |
| Sprache | englisch |
| Maße | 216 x 279 mm |
| Themenwelt | Schulbuch / Wörterbuch ► Unterrichtsvorbereitung ► Unterrichts-Handreichungen |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Sozialwissenschaften ► Pädagogik | |
| ISBN-13 | 979-8-3693-3944-2 / 9798369339442 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
