AI-Powered Pedagogy and Curriculum Design
Practical Insights for Educators
Herausgeber: Baker, Geoff; Caton, Lucy
AI-Powered Pedagogy and Curriculum Design
Practical Insights for Educators
Herausgeber: Baker, Geoff; Caton, Lucy
- Broschiertes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
AI-Powered Pedagogy and Curriculum Design offers practical insights and guidance on the effective integration of AI tools into teaching practices and curriculum design.
Andere Kunden interessierten sich auch für
- Artificial Intelligence Applications in K-1242,99 €
- Alex RockeyThe Mobile Course Design Journey44,99 €
- Theodore â TJâ KopchaEmbodied Learning in the Schools53,99 €
- Charlotte Nirmalani GunawardenaKnowledge Co-Construction in Online Learning64,99 €
- Enhancing Smart Universities with Emotional Intelligence70,99 €
- Digital Learning in High-Needs Schools53,99 €
- Andrea FilatroTechnology-Enabled Learning and Design Methodologies54,99 €
-
-
-
AI-Powered Pedagogy and Curriculum Design offers practical insights and guidance on the effective integration of AI tools into teaching practices and curriculum design.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 276
- Erscheinungstermin: 16. September 2025
- Englisch
- Abmessung: 229mm x 152mm x 15mm
- Gewicht: 400g
- ISBN-13: 9781032894744
- ISBN-10: 1032894741
- Artikelnr.: 73777441
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 276
- Erscheinungstermin: 16. September 2025
- Englisch
- Abmessung: 229mm x 152mm x 15mm
- Gewicht: 400g
- ISBN-13: 9781032894744
- ISBN-10: 1032894741
- Artikelnr.: 73777441
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Geoff Baker is CEO of True Learning Partnership Multi-Academy Trust and Emeritus Professor of Education at the University of Greater Manchester, UK. Lucy Caton is Lead for the Centre of AI in Education in the School of Education at the University of Greater Manchester, UK.
Introduction: AI in Education Part 1: Historical and Philosophical
Foundations for Engaging with AI and Education 2. How Did we Get Here? A
Brief History of Artificial Intelligence 3. A Philosophical Overview of Key
Ethical Concepts for Navigating AI in Education Part 2: AI, Education and
Ethics in Practice 4. AI in Education: Balancing Innovation and Ethics 5.
Ethics in Practice: How AI is Transforming the Experience of Higher
Education 6. Transparency and Accountability in AI Decision-Making
Processes: Explainable AI and Education Part 3: Professional Development
and Teacher Identity in AI and Education 7. Navigating the Landscape of AI
in Teacher Professional Development 8. Professional Readiness and Ethical
Practices for AI Integration: Establishing a Framework for Staff
Development 9. 'If Students have ChatGPT, Why do they Need Us?': Why
Educators Remain Irreplaceable in AI-Enhanced Learning 10. Academic
Identity in the AI Era: Navigating Resistance, Adaptation, and Traditional
Values in Higher Education Part 4: Student Experience and Employability in
AI and Education 11. AI and Student Experience: Enhancing Students'
Learning Experience through AI Integration 12. Metamorphic Frontiers: The
Influence of Generative AI on Enhancing Student Employability 13. Ada and
FirstPass: Bolton College's Digital Assistants for Students, Teachers and
Campus Support Teams 14. Understanding the Staff and Student Partnership to
Maximise the Benefits of AI in Higher Education Institutions 15.
Conclusion: Building Skills, Ethics, and Human Autonomy within a Future of
AI-Enhanced Learning
Foundations for Engaging with AI and Education 2. How Did we Get Here? A
Brief History of Artificial Intelligence 3. A Philosophical Overview of Key
Ethical Concepts for Navigating AI in Education Part 2: AI, Education and
Ethics in Practice 4. AI in Education: Balancing Innovation and Ethics 5.
Ethics in Practice: How AI is Transforming the Experience of Higher
Education 6. Transparency and Accountability in AI Decision-Making
Processes: Explainable AI and Education Part 3: Professional Development
and Teacher Identity in AI and Education 7. Navigating the Landscape of AI
in Teacher Professional Development 8. Professional Readiness and Ethical
Practices for AI Integration: Establishing a Framework for Staff
Development 9. 'If Students have ChatGPT, Why do they Need Us?': Why
Educators Remain Irreplaceable in AI-Enhanced Learning 10. Academic
Identity in the AI Era: Navigating Resistance, Adaptation, and Traditional
Values in Higher Education Part 4: Student Experience and Employability in
AI and Education 11. AI and Student Experience: Enhancing Students'
Learning Experience through AI Integration 12. Metamorphic Frontiers: The
Influence of Generative AI on Enhancing Student Employability 13. Ada and
FirstPass: Bolton College's Digital Assistants for Students, Teachers and
Campus Support Teams 14. Understanding the Staff and Student Partnership to
Maximise the Benefits of AI in Higher Education Institutions 15.
Conclusion: Building Skills, Ethics, and Human Autonomy within a Future of
AI-Enhanced Learning
Introduction: AI in Education Part 1: Historical and Philosophical
Foundations for Engaging with AI and Education 2. How Did we Get Here? A
Brief History of Artificial Intelligence 3. A Philosophical Overview of Key
Ethical Concepts for Navigating AI in Education Part 2: AI, Education and
Ethics in Practice 4. AI in Education: Balancing Innovation and Ethics 5.
Ethics in Practice: How AI is Transforming the Experience of Higher
Education 6. Transparency and Accountability in AI Decision-Making
Processes: Explainable AI and Education Part 3: Professional Development
and Teacher Identity in AI and Education 7. Navigating the Landscape of AI
in Teacher Professional Development 8. Professional Readiness and Ethical
Practices for AI Integration: Establishing a Framework for Staff
Development 9. 'If Students have ChatGPT, Why do they Need Us?': Why
Educators Remain Irreplaceable in AI-Enhanced Learning 10. Academic
Identity in the AI Era: Navigating Resistance, Adaptation, and Traditional
Values in Higher Education Part 4: Student Experience and Employability in
AI and Education 11. AI and Student Experience: Enhancing Students'
Learning Experience through AI Integration 12. Metamorphic Frontiers: The
Influence of Generative AI on Enhancing Student Employability 13. Ada and
FirstPass: Bolton College's Digital Assistants for Students, Teachers and
Campus Support Teams 14. Understanding the Staff and Student Partnership to
Maximise the Benefits of AI in Higher Education Institutions 15.
Conclusion: Building Skills, Ethics, and Human Autonomy within a Future of
AI-Enhanced Learning
Foundations for Engaging with AI and Education 2. How Did we Get Here? A
Brief History of Artificial Intelligence 3. A Philosophical Overview of Key
Ethical Concepts for Navigating AI in Education Part 2: AI, Education and
Ethics in Practice 4. AI in Education: Balancing Innovation and Ethics 5.
Ethics in Practice: How AI is Transforming the Experience of Higher
Education 6. Transparency and Accountability in AI Decision-Making
Processes: Explainable AI and Education Part 3: Professional Development
and Teacher Identity in AI and Education 7. Navigating the Landscape of AI
in Teacher Professional Development 8. Professional Readiness and Ethical
Practices for AI Integration: Establishing a Framework for Staff
Development 9. 'If Students have ChatGPT, Why do they Need Us?': Why
Educators Remain Irreplaceable in AI-Enhanced Learning 10. Academic
Identity in the AI Era: Navigating Resistance, Adaptation, and Traditional
Values in Higher Education Part 4: Student Experience and Employability in
AI and Education 11. AI and Student Experience: Enhancing Students'
Learning Experience through AI Integration 12. Metamorphic Frontiers: The
Influence of Generative AI on Enhancing Student Employability 13. Ada and
FirstPass: Bolton College's Digital Assistants for Students, Teachers and
Campus Support Teams 14. Understanding the Staff and Student Partnership to
Maximise the Benefits of AI in Higher Education Institutions 15.
Conclusion: Building Skills, Ethics, and Human Autonomy within a Future of
AI-Enhanced Learning