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Showing all 12 results Save | Export
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Svicher, Andrea; Gori, Alessio; Di Fabio, Annamaria – Australian Journal of Career Development, 2022
The present study examined the Italian version of the Work as Meaning Inventory and Work as Meaning Inventory for University students through a network perspective. Network analysis was applied to 505 Italian workers assessed via the Work as Meaning Inventory and 214 Italian university students assessed via the Work as Meaning Inventory for…
Descriptors: Foreign Countries, Employees, College Students, Network Analysis
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Siebert-Evenstone, Amanda L.; Irgens, Golnaz Arastoopour; Collier, Wesley; Swiecki, Zachari; Ruis, Andrew R.; Shaffer, David Williamson – Journal of Learning Analytics, 2017
Analyses of learning based on student discourse need to account not only for the content of the utterances but also for the ways in which students make connections across turns of talk. This requires segmentation of discourse data to define when connections are likely to be meaningful. In this paper, we present an approach to segmenting data for…
Descriptors: Semantics, Discourse Analysis, Models, Epistemology
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Shadiev, Rustam; Huang, Yueh-Min – Australasian Journal of Educational Technology, 2020
In this study, we carried out an online cross-cultural learning activity supported by speech-enabled language translation technology on a social network service with representatives from 13 nationalities. The participants were assigned into two groups: Group I discussed the traditions and related culture of interest whereas Group II discussed…
Descriptors: Cross Cultural Training, Translation, Computational Linguistics, Speech Communication
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Yin, Ming; Yeakey, Carol Camp – Oxford Review of Education, 2019
In 2016, approximately 5 million students, about 2% of global tertiary enrolments, studied abroad. As globalisation of education advances, tertiary student mobility is an important channel through which highly skilled immigrants arrive and work in different nation states. Informed by the multidisciplinary internationalisation frameworks, this…
Descriptors: Social Networks, Network Analysis, Political Power, Global Approach
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Mauldin, Rebecca L.; Narendorf, Sarah C.; Mollhagen, Amber M. – Journal of Social Work Education, 2017
Peer relationships are an integral part of social work education. This study examined three types of social ties (academic, friendship, and professional) among first-semester students in a cohort-based MSW program. Data were collected three times during the semester and analyzed using social network analysis. By semester's end, students had an…
Descriptors: Student Diversity, Masters Programs, Social Networks, Network Analysis
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Putnik, Goran; Costa, Eric; Alves, Cátia; Castro, Hélio; Varela, Leonilde; Shah, Vaibhav – International Journal of Technology and Design Education, 2016
Social network-based engineering education (SNEE) is designed and implemented as a model of Education 3.0 paradigm. SNEE represents a new learning methodology, which is based on the concept of social networks and represents an extended model of project-led education. The concept of social networks was applied in the real-life experiment,…
Descriptors: Engineering Education, Social Networks, Network Analysis, Correlation
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Nagovitsyn, Roman S.; Chigovskaya-Nazarova, Yanina A.; Miroshnichenko, Aleksey A.; Senator, Svetlana Y. – European Journal of Contemporary Education, 2018
The purpose of the article is to develop a system programme "Health saving education" on the basis of creating a structural model and model of management and ensuring health and preventive activities and experimentally prove the effectiveness of its implementation in the educational process of the university. The solution of research…
Descriptors: Systems Development, Models, Beliefs, Cultural Influences
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Uddin, Shahadat; Jacobson, Michael J. – Computers & Education, 2013
Email is considered as one of the most widely accepted computer-mediated communication tools among university students. Evidence from the present literature shows that students make a significant amount of their course-related communications (e.g. discuss a topic with peers) using this tool. This study explores the dynamics of an email…
Descriptors: Computer Mediated Communication, Communications, Social Networks, Network Analysis
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Jahng, Namsook; Nielsen, Wendy S.; Chan, Eric K. H. – Journal of Distance Education, 2010
This article reports on the investigation of collaborative learning processes in an online course that examined students' communication during whole-group discussions and small-group activities. Content analysis and social network analysis methods were employed to code and categorize text messages to uncover students' communication behaviour. The…
Descriptors: Online Courses, Cooperative Learning, Comparative Analysis, Group Activities
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LaRiviere, Kristin; Snider, Jeanette; Stromberg, Alison; O'Meara, KerryAnn – About Campus, 2012
In this article, the authors consider the strengths and weaknesses of digital media in the organization of student activism, and how educators can better assist and advise student activists using digital media to create improved learning opportunities. To gain a perspective on the relative strengths and challenges of online media in regard to…
Descriptors: Higher Education, Activism, Social Change, Educational Opportunities
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Simonson, Michael, Ed. – Association for Educational Communications and Technology, 2011
For the thirty-fourth year, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Jacksonville, FL. A limited quantity of these Proceedings were printed and sold in both hardcopy and electronic…
Descriptors: Foreign Countries, Research and Development, Educational Technology, Conference Papers
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Aviv, Reuven; Erlich, Zippy; Ravid, Gilad – Educational Technology & Society, 2005
Theoretical foundation of Response mechanisms in networks of online learners are revealed by Statistical Analysis of p* Markov Models for the Networks. Our comparative analysis of two networks shows that the minimal-effort hunt-for-social-capital mechanism controls a major behavior of both networks: negative tendency to respond. Differences in…
Descriptors: Statistical Analysis, Educational Technology, Comparative Analysis, Peer Influence