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Methodologies and Intelligent System...
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Lancia, Loreto.
Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th International Conference, Workshops
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th International Conference, Workshops/ edited by Elvira Popescu, Ana Belén Gil, Loreto Lancia, Luigia Simona Sica, Anna Mavroudi.
其他作者:
Popescu, Elvira.
面頁冊數:
XIII, 158 p. 61 illus., 51 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational intelligence. -
電子資源:
https://doi.org/10.1007/978-3-030-23884-1
ISBN:
9783030238841
Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th International Conference, Workshops
Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th International Conference, Workshops
[electronic resource] /edited by Elvira Popescu, Ana Belén Gil, Loreto Lancia, Luigia Simona Sica, Anna Mavroudi. - 1st ed. 2020. - XIII, 158 p. 61 illus., 51 illus. in color.online resource. - Advances in Intelligent Systems and Computing,1008 2194-5357 ;. - Advances in Intelligent Systems and Computing,335.
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 .
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.
ISBN: 9783030238841
Standard No.: 10.1007/978-3-030-23884-1doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th International Conference, Workshops
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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 .
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