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Blended Learning: Convergence between Technology and Pedagogy

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Blended Learning: Convergence between Technology and Pedagogy/ edited by Antonio Víctor Martín-García.
其他作者:	Martín-García, Antonio Víctor.
面頁冊數:	X, 293 p. 58 illus., 39 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-3-030-45781-5
ISBN:	9783030457815

Blended Learning: Convergence between Technology and Pedagogy
Blended Learning: Convergence between Technology and Pedagogy[electronic resource] /edited by Antonio Víctor Martín-García. - 1st ed. 2020. - X, 293 p. 58 illus., 39 illus. in color.online resource. - Lecture Notes in Networks and Systems,1262367-3370 ;. - Lecture Notes in Networks and Systems,1.

Towards ‘onlife’ education. How technology is forcing us to rethink pedagogy -- On Blended Learning Flexibility: An Educational Approach -- The policy approach of b-learning. The university model of education in the public-private binomial. .

This book focuses on essential aspects of the theoretical foundations that support blended learning (BL) as a teaching training modality in tertiary education. Analyzing the changes in the world of education that lead to new ways of thinking and learning, it redefines the concept of blended learning at a time of constant growth in many universities around the world. This involves a shared reflection on the role of technology in the current university teacher education programs, as well as on the role that pedagogy plays in increasingly technology-driven contexts. Furthermore, the book presents pedagogical approaches to guide university professors in the design and implementation of blended learning courses. To this end, it describes some of the major models and approaches to BL instructional design, and examines issues related to the quality of BL training and the indicators to measure it, in order to identify those models that contribute to a better understanding of the dimensions that increase its effectiveness.

ISBN: 9783030457815

Standard No.: 10.1007/978-3-030-45781-5doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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