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Titlebook: Research-Based Learning: Case Studies from Maastricht University; Ellen Bastiaens,Jonathan van Tilburg,Jeroen van Me Book 2017 Springer In

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书目名称Research-Based Learning: Case Studies from Maastricht University
编辑Ellen Bastiaens,Jonathan van Tilburg,Jeroen van Me
视频video
概述Describes and reflects on 5 years of practical experience with a new educational concept.Is the first book to discuss the intricate relationships between PBL and UGR/RBL.Provides clear guidelines for
丛书名称Professional Learning and Development in Schools and Higher Education
图书封面Titlebook: Research-Based Learning: Case Studies from Maastricht University;  Ellen Bastiaens,Jonathan van Tilburg,Jeroen van Me Book 2017 Springer In
描述.This book describes lessons learned from the implementation of research based learning at Maastricht University. Well-known for its problem based learning (PBL) educational model, Maastricht University implemented research-based learning (RBL) as a new educational concept in addition to PBL, around 2009. The model has taken the shape of an excellence programme offering third-year bachelor students an opportunity to conduct academic research together with academic staff. The introduction of the research-based learning concept into the programmes of all Maastricht University’s faculties has resulted in a range of RBL models that vary to fit the various disciplines and programmes offered by the faculties. The book first presents theoretical models and a description of the concepts of research-based learning and undergraduate research (UGR). Next, by means of case studies, it describes the formulas developed to suit the various programmes, the challenges encountered, the initial reservations on the part of the staff, the limitations caused by regulations and demands of the curricula, as well as the successes and results of the excellence programme. The disciplines described in the cas
出版日期Book 2017
关键词research-based learning; undergraduate research; problem-based learning; excellence programmes; educatio
版次1
doihttps://doi.org/10.1007/978-3-319-50993-8
isbn_softcover978-3-319-84540-1
isbn_ebook978-3-319-50993-8Series ISSN 1879-8624 Series E-ISSN 2543-0556
issn_series 1879-8624
copyrightSpringer International Publishing AG 2017
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Roeland van der Rijstorld applications engage the reader with the complexities ofGenetic Algorithms (GA) as a tool for a search and optimizing methodology has now reached a mature stage. It has found many useful applications in both the scientific and engineering arenas. The main reason for this success is undoubtedly d
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Jonathan van Tilburg,Jeroen van Merriënboer,Ellen Bastiaensusing input information; much of this research employs heuristic approaches to learning rather than algorithmic ones. The most active research area in recent years [284] has continued to be symbolic empirical learning (SEL). This area is concerned with creating and/or modifying general symbolic desc
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Herco Fonteijn,Arie van der Lugtusing input information; much of this research employs heuristic approaches to learning rather than algorithmic ones. The most active research area in recent years [284] has continued to be symbolic empirical learning (SEL). This area is concerned with creating and/or modifying general symbolic desc
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Ragna Zeiss nothing.‘ Anthony de Mello, One Minute Wisdom During the last three decades there has been a growing interest in algorithms which rely on analogies to natural processes. The emergence of massively par­ allel computers made these algorithms of practical interest. The best known algorithms in this cl
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