Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th International Conference, Workshops

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.

Highlights the latest research on distributed computing and artificial intelligence Presents the outcomes of the 16th International Conference on Distributed Computing and Artificial Intelligence 2019 (DCAI 2019) held in Ávila, Spain, 26th28th June 2019 Written by respected experts in the field

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Problem Solving Incorporated into Blending Learning in Nursing Masters Degree.- Nurse Application Bundle: tools for nursing practice in home care settings.- Care robots: from tools of care to training opportunities.- Virtual reality for Informal Caregivers of Heart Failure patients: a mixed method research proposal.- Efficacy of High-Fidelity Simulation on learning outcomes: immediate results for a postgraduate Intensive Care Nursing course.- How to reduce biological risk among nursing students: A research project.- Electronic Test of Competence administration: qualitative evaluation of students' satisfaction on telematic platform a cross sectional study