Full Description
This book is a timely and transformative contribution to the fields of educational evaluation, policy, and innovation. It offers a unique integration of classical impact assessment theory with cutting-edge developments in Artificial Intelligence and data analytics, making the book both academically rigorous and practically indispensable. By offering a compelling mix of innovation, ethical foresight, and practical relevance, this book directly addresses the increasing demand for evidence-based, strategic decision-making in education. It responds to the needs of a rapidly evolving educational landscape and to the professionals who are shaping its future.
Contents
Part I Conceptual Foundations of Impact Evaluation.- 1. Introduction to Impact Assessment in Education.- 2. Foundations of Impact Measurement.- 3. Causal Attribution and Its Relevance.- Part II Methodological Approaches to Causal Attribution.- 4. Counterfactual Analysis: Theory and Practice.- 5. Elimination of Alternative Explanations Approach.- 6. Contribution Analysis at Impact Assessment.- 7. Consistency of Evidence with Causal Relationships Approach.- Part III Ethical, Social, and Strategic Implications.- 8. Ethical and Legal Considerations in Impact Assessment.- 9. Social and Practical Implications of Impact Assessment.- 10. Strategic Decision-Making Using Impact Data.- Part IV Artificial Intelligence and Vision for the Future.- 11. Leveraging Artificial Intelligence in Impact Evaluation.- 12. Future Directions in Educational Impact Assessment.
