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  • Search: person:"Wu, Ting-Ting"
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Subject
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Betriebswirtschaftsstudium 2 Graduate business education 2 Learning 2 Lernen 2 Berufsbildung 1 Business marketing education 1 Cognition 1 Complex networks 1 Cooperative learning 1 Didactics 1 Didaktik 1 Enhancing learning engagement 1 Flipped classroom 1 Flipped jigsaw II 1 Flipped jigsaw learning 1 Formative assessment 1 Higher-order thinking skills 1 Improving learning outcomes 1 International business education 1 Kognition 1 Learning method 1 Learning organization 1 Learning process 1 Lernende Organisation 1 Lernmethode 1 Lernprozess 1 Local community detection 1 Local degree central node 1 Vocational training 1
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Undetermined 3
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 2 Undetermined 1
Author
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Wu, Ting-Ting 3 Huang, Yueh-Min 2 Noviati Aning Rizki Mustika Sari 2 Chen, Qiong 1 Fang, Ming 1
Published in...
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The international journal of management education 2 Physica A: Statistical Mechanics and its Applications 1
Source
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ECONIS (ZBW) 2 RePEc 1
Showing 1 - 3 of 3
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Integrating extended formative assessment in flipped jigsaw learning : promoting learning engagement and higher-order thinking skills in international business education context
Wu, Ting-Ting; Noviati Aning Rizki Mustika Sari; Huang, … - In: The international journal of management education 22 (2024) 1, pp. 1-14
Persistent link: https://www.econbiz.de/10015073523
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Flipped jigsaw II versus conventional flipped classroom : which approach better improves learning outcomes in the International Marketing Management course?
Wu, Ting-Ting; Noviati Aning Rizki Mustika Sari; Huang, … - In: The international journal of management education 21 (2023) 3, pp. 1-11
Persistent link: https://www.econbiz.de/10014458724
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Detecting local community structures in complex networks based on local degree central nodes
Chen, Qiong; Wu, Ting-Ting; Fang, Ming - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 3, pp. 529-537
Detecting local communities in real-world graphs such as large social networks, web graphs, and biological networks has received a great deal of attention because obtaining complete information from a large network is still difficult and unrealistic nowadays. In this paper, we define the term...
Persistent link: https://www.econbiz.de/10010874910
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