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Frontiers and advances in Positive L...

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Frontiers and advances in Positive Learning in the Age of InformaTiOn (PLATO)

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Frontiers and advances in Positive Learning in the Age of InformaTiOn (PLATO)edited by Olga Zlatkin-Troitschanskaia.
其他作者:	Zlatkin-Troitschanskaia, Olga.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	ix, 323 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Educational technology.
電子資源:	https://doi.org/10.1007/978-3-030-26578-6
ISBN:	9783030265786$q(electronic bk.)

Frontiers and advances in Positive Learning in the Age of InformaTiOn (PLATO)
Frontiers and advances in Positive Learning in the Age of InformaTiOn (PLATO)[electronic resource] /edited by Olga Zlatkin-Troitschanskaia. - Cham :Springer International Publishing :2019. - ix, 323 p. :ill., digital ;24 cm.

Part I: Positive and Negative Learning in Higher Education -- Towards Quality Higher Education: Barriers and Enablers -- The Role of Modeling for "Seeking Truth" in an Educational Policy Classroom -- Critical Thinking in Social Domains -- Part II: Learning with New Media and Technology -- Positive and Negative Media Effects on University Students' Learning: Preliminary Findings and a Research Program -- Explicating Logic of Biology to Support Critical Thinking -- Picture Bias in Upper-Division Physics Education -- The Role of Media Conversion for Positive Learning -- Part III: Innovative Analytical Approaches for Modeling of Learning -- Towards a Computational Model for Measuring the Complexity of Learning Tasks: A Combined Cognitive and Computational Approach -- Automated Methods for the Comparison of Natural Languages -- Grounding Educational Language: From Situation Modeling to Cognitive Structures -- Successful and Positive Learning through Study Crafting: A Self-Control Perspective -- Literature, Simulation, and the Path towards Deeper Learning -- On the Way of Developing a Holistic Explanatory Model of Positive Learning -- Part IV: Measuring of Intra- and Interindividual Learning - From Neural Correlates to Language Topology -- The Neural Basis of Idea Density During Natural Spoken Language -- What Can the Eyes and the Brain Tell Us About Learning? The Role of Information Density in the Comprehension and Retrieval of Complex Concepts -- IRT Modeling of Decomposed Student Learning Patterns as Positive and Negative Learning in Higher Education Economics -- Performance in Knowledge Assessment Tests from the Perspective of Linguistic Typology -- Challenges in the Modeling and Assessment of Complex Constructs: Some Examples from the PLATO Project -- Part V: Perspectives -- Positive Learning at Risk - Mapping Information Structures of Learning Sources in Economics and Computer Science (PLATO-i) -- PLATO in Search of Identity.

Research on students' media use outside of education is just slowly taking off. Influences of information and communication technologies (ICT) on human information processing are widely assumed and particularly effects of dis- and misinformation are a current threat to democracies. Today, higher education competes with a very diverse (online) media landscape and domain-specific content from sources of varying quality, ranging from high-quality videographed lectures by top-level university lecturers, popular-scientific video talks, collaborative wikis, anonymous forum comments or blog posts to YouTube remixes of discipline factoids and unverified twitter feeds. Self-organizing learners need more knowledge, skills, and awareness on how to critically evaluate quality and select trustworthy sources, how to process information, and what cognitive, affective, attitudinal, behavioral, and neurological effects it can have on them in the long term. The PLATO program takes on the ambitious goal of uniting strands of research from various disciplines to address these questions through fundamental analyses of human information processing when learning with the Internet. This innovative interdisciplinary approach includes elements of ICT innovations and risks, learning analytics and large-scale computational modelling aimed to provide us with a better understanding of how to effectively and autonomously acquire reliable knowledge in the Information Age, how to design ICTs, and shape social and human-machine interactions for successful learning. This volume will be of interest to researchers in the fields of educational sciences, educational measurement and applied branches of the involved disciplines, including linguistics, mathematics, media studies, sociology of knowledge, philosophy of mind, business, ethics, and educational technology.

ISBN: 9783030265786$q(electronic bk.)

Standard No.: 10.1007/978-3-030-26578-6doiSubjects--Topical Terms:

222132
Educational technology.

LC Class. No.: LB1044.87 / .F76 2019

Dewey Class. No.: 371.3344678

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