Loreto Lancia – författare

This book is based on the 9th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning, which was hosted by the University of Salamanca and held in Ávila (Spain) from 26th to 28th June 2019. Expanding on the topics of the evidence-based TEL workshops series, it provides an open forum for discussing intelligent technologies for learning.  In particular, it discusses recommendation mechanisms that enable us to tailor learning to different contexts and people, e.g., by considering their personality; and learning analytics that help augment learning opportunities, e.g., by supporting the adaptation of the learning material. In addition to technologies, it covers methods from different fields, such as educational psychology or medicine, and from diverse communities co-working with people, such as making communities and participatory design communities to help create novel TEL opportunities. Further it describes the use of methods and technologies to investigate and enhance learning for “fragile users”, like children, the elderly and those with special needs. We thank the sponsors: IEEE Systems Man and Cybernetics Society Spain Section Chapter and the IEEE Spain Section (Technical Co-Sponsor), IBM, Indra, Viewnext, Global exchange, AEPIA, APPIA and AIR institute.

This book features papers from workshops at the 10th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning, which was hosted by the University of L''Aquila (Italy) from 17th to 19th June 2020. 

The workshops provided participants with the opportunity to present and discuss novel research ideas on emerging topics complementing the main conference. They particularly focused on multi-disciplinary and transversal aspects such as TEL in nursing education programs, social and personal computing for web-supported learning communities, interactive environments and emerging technologies for eLearning, and TEL for future citizens.

State-of-the-art and novel methodologies and technologies allow researchers, designers, and domain experts to pursue technology-enhanced learning (TEL) solutions targeting not only cognitive processes but also motivational, personality, or emotional factors. The International Conference in Methodologies and Intelligent Systems for Technology-Enhanced Learning (MIS4TEL''21) is hosted by the University of Salamanca and was held in Salamanca (Spain) from October 6–8, 2021. The annual appointment of MIS4TEL established itself as a consolidated fertile forum where scholars and professionals from the international community, with a broad range of expertise in the TEL field, share results and compare experiences. The calls for papers of the 11th edition of the conference welcomed novel research in TEL and expands on the topics of the previous editions: It solicited work from new research fields (ranging from artificial intelligence and agent-based systems to robotics, virtual reality, Internet of things and wearable solutions, among others) concerning methods and technological opportunities, and how they serve to create novel approaches to TEL, innovative TEL solutions, and valuable TEL experiences.

This book covers the 12th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning which was hosted by the University of L''Aquila and was held in L''Aquila (Italy) from July 13 to 15, 2022. The conference has established itself as a consolidated fertile forum where scholars and professionals from the international community, with a broad range of expertise in the TEL field, share results and compare experiences.

Technologies in TEL are capable of delivering smart, personalized, tailored, and motivating learning solutions. Methods are coming from different fields, such as education, psychology, medicine, computer science, and from diverse communities, where collaboration and co-working are used.

This book includes the accepted papers of the four selected workshops which focus on integration of emerging technologies into education and training (ETELT), Interactive Environments and Emerging Technologies for eLearning (IEETeL), Technology Enhanced Learning in Nursing Education (Nursing), and Technology Enhanced Learning for Future Citizens (TEL4FC). Education is the cornerstone of any society; it serves as one of the foundations for many of its social values and characteristics. mis4TEL’23 promotes the interaction among the scientific community to discuss applications of Technology Enhanced Learning solutions targeting not only cognitive and social processes but also motivational, personality, or emotional factors. In addition, current trends concerning the use of artificial intelligence can help and augment learning opportunities for learners and educators.

 We would like to thank all the contributing authors, the members of the program committee, national associations (AEPIA, and APPIA), and the sponsors (AIR Institute, and Camara Municipal de Guimarães).Chapter “Exploring Value and Ethical Dimensions of Disruptive Technologies for Learning and Teaching” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Chapter "Datasets for Artificial Intelligence in Education: The Case of Children with Neurodevelopmental Disorders” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.”

This book includes the accepted papers of the four selected workshops focus on Artificial Intelligence for Education (Ai4Ed), Technology Enhanced Learning in Nursing Education (NURSING), Technology Enhanced Learning for Future Citizens (TEL4FC), and integration of emerging technologies into education and training (ETELT). Education is the cornerstone of any society; it serves as one of the foundations for many of its social values and characteristics. mis4TEL’24 promotes the interaction among the scientific community to discuss applications Technology enhanced learning solutions targeting not only cognitive and social processes but also motivational, personality, or emotional factors. In addition, current trends concerning the use of artificial intelligence can help and augment learning opportunities for learners and educators.

The authors would like to thank all the contributing authors, the members of the Program Committee, National Associations (AEPIA, APPIA, and LASI), and the sponsors (AIR Institute).