Artificial Intelligence in Higher Education Framed by a Pedagogy First Approach
Description
This book discusses the integration of artificial intelligence into higher education, viewed through diverse academic, pedagogical, and technological lenses. The chapters explore how AI is being embedded in university-level teaching and learning, not as an external add-on, but as an active participant in transforming instructional design, student support, assessment, and curriculum planning.
A key focus throughout the book is the relationship between human educators and intelligent systems. Contributions examine how generative AI tools are being used to support self-regulated learning, refine learning outcomes, automate design processes, and stimulate creativity in domains ranging from STEM to arts and design. The authors highlight the need for educators to engage not only with the functional affordances of AI, but also with the ethical, epistemological, and professional challenges it introduces. The book offers insights into institutional responses to AI, especially within developing countries, where higher education systems are negotiating access, quality, and sustainability. These perspectives provide a broader view of how AI adoption interacts with policy, infrastructure, and local educational cultures.
Chapter 6,7,8 is available open access under a Creative Commons Attribution 4.0 NC-ND International License via link.springer.com.
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Persons
Professor Linda Daniela is a senior researcher, Dean of the Faculty of Education, Psychology and Art, Chair of the Council for PhD Defence in Education at the University of Latvia. She also serves as an expert in Education at the Council of Sciences of the Republic of Latvia. Her expertise spans Technology enhanced learning, Smart Pedagogy, Virtual Education, Smart Education, Digital Learning Materials, Educational technologies for learning, Educational robotics, Educational processes and solutions for reducing social exclusion from the educational processes, and Behavioral problems. Professor Daniela is an author and co-author of more than 80 publications about processes in all dimensions of education.
Dr. Calixto Gutiérrez-Braojos is an Associate Professor of Research Methods and Educational Assessment, and Evaluation at the University of Granada, Spain, where he also teaches Participatory Research and Impact Evaluation of Educational Research. He was selected as an FPU fellow by the Spanish Ministry and completed his PhD Cum Laude at the University of Granada. Throughout his career, he has completed several training and research stays at prestigious universities included in the Shanghai World Universities Academic Ranking. His main research topics encompass Knowledge-Building Communities; Educational Research Training; and Development and Evaluation of Technology for Education. In these fields, he has led numerous R&D&I innovation and research projects and was an author of over 90 publications.
Content
AI-Assisted Pedagogical Framework: Personalized Self-Regulated Learning (PSRL).- Generative Artificial Intelligence as a catalyst for a new educational theory.- Empowering the Academic Community through AI in the Research and Learning Process.- Bias and Fairness in AI-Driven Education: Toward Ethical and Inclusive Systems.- Alternatives Analysis for Reduction of Hallucinations in the Use of Artificial Intelligence for High-Performance Learning Efficiency.- Transforming Higher Education with AI Chatbots: University Educators' Perspectives on Opportunities, Competencies, Curriculum Adaptation, and Ethical Considerations.- PART II AI ASISTED LEARNING AND ASSESSMENT.- Resignifying Assessment through Knowledge Building: A Grounded Theory on Students' Perceived Value of Reflective Evaluation with KBAT and AI.- AI in Gamification and Immersive Learning: Foundations and Futures.- Collaborative and Automated Creation of Educational Cases with AI Tools: A Playful Study Design Approach.- AI-based Approach for Improving Learning Competence Toward Sustainable Tertiary Education.- Learning Outcome Assessment of AI-assisted Higher Education in Developing Countries.- The Applicability of Artificial Intelligence for Construction Education in Developing Countries.- PART III PRACTISE BASED LEARNING ENHANCED BY AI.- Enhancing Environmental and Disaster Education with AI-Driven Tutoring and Immersive Gamification.- Integration of Artificial Intelligence in Design Workshops: Exploring New Competencies in AI Management.- AI in the Graphic Design Classroom: Reflections on Its Implementation and Impact on the Creative Process.- Artificial Neural Networks in Discovering Students' Tolerance for Disagreement.- New Technologies and Artificial Intelligence: Trends in the Education of University Social Work Students.