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Likhanov, Maxim; Maslennikova, Ekaterina; Costantini, Giulio; Budakova, Anna; Esipenko, Elena; Ismatullina, Victoria; Kovas, Yulia – British Journal of Educational Psychology, 2022
Background: Spatial ability (SA) was shown to be important for success in different fields, including STEM. Recent research suggested that SA is a unitary construct, rather than a set of related skills. However, it is not clear how individual differences in different facets of SA emerge, and how they relate to variance in general cognitive…
Descriptors: Spatial Ability, Models, Cognitive Ability, College Students
Patterson, M. S.; Prochnow, T.; Nelon, J. L.; Spadine, M. N.; Brown, S. E.; Lanning, B. A. – Journal of American College Health, 2022
Objective: To use egocentric network analysis to understand how composition and structure of egonetworks relate to violence victimization among college students. Participants: 697 students from a large southeastern university completed online surveys. Methods: Hierarchical logistic regression analyses assessed the relationship between egocentric…
Descriptors: Violence, Victims, College Students, Student Attitudes
Liu, Haiyan; Jin, Ick Hoon; Zhang, Zhiyong – Grantee Submission, 2018
Psychologists are interested in whether friends and couples share similar personalities or not. However, no statistical models are readily available to test the association between personalities and social relations in the literature. In this study, we develop a statistical model for analyzing social network data with the latent personality traits…
Descriptors: Structural Equation Models, Social Networks, Personality Traits, Statistical Analysis
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
Zwolak, Justyna P.; Zwolak, Michael; Brewe, Eric – Physical Review Physics Education Research, 2018
The lack of an engaging pedagogy and the highly competitive atmosphere in introductory science courses tend to discourage students from pursuing science, technology, engineering, and mathematics (STEM) majors. Once in a STEM field, academic and social integration has been long thought to be important for students' persistence. Yet, it is rarely…
Descriptors: Social Networks, STEM Education, Academic Persistence, Peer Relationship
Perez-Encinas, Adriana; Rodriguez-Pomeda, Jesus – Journal of Studies in International Education, 2018
In this article, we analyze international students' perceptions of their needs when going abroad. The trend toward internationalization and the increase in mobility drives the agenda for globalization in many higher education institutions, and in some cases without any clear strategy for identifying the possible needs of international students.…
Descriptors: Foreign Students, Student Attitudes, Student Needs, Student Mobility
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
Wright, Fiona; White, David; Hirst, Tony; Cann, Alan – Learning, Media and Technology, 2014
The Visitors and Residents model of internet use suggests a continuum of modes of engagement with the online world, ranging from tool use to social spaces. In this paper, we examine evidence derived from a large cohort of students to assess whether this idea can be validated by experimental evidence. We find statistically significant differences…
Descriptors: Internet, Student Attitudes, Social Networks, Models
Laakkonen, Ilona – Research-publishing.net, 2015
Despite the proliferation of social media, few learners make effective use of digital technology to support their learning or graduate with the skills necessary for developing and communicating their expertise in the knowledge-driven networked society of the digital age. This article makes use of the concept of Personal Learning Environments (PLE)…
Descriptors: Foreign Countries, College Students, Computer Literacy, Technological Literacy
Bodin, Madelen – Physical Review Special Topics - Physics Education Research, 2012
Solving physics problem in university physics education using a computational approach requires knowledge and skills in several domains, for example, physics, mathematics, programming, and modeling. These competences are in turn related to students' beliefs about the domains as well as about learning. These knowledge and beliefs components are…
Descriptors: Network Analysis, Physics, Programming, College Science
Zheng, Lanqin; Yang, Kaicheng; Huang, Ronghuai – Educational Technology & Society, 2012
This study proposes a new method named the IIS-map-based method for analyzing interactions in face-to-face collaborative learning settings. This analysis method is conducted in three steps: firstly, drawing an initial IIS-map according to collaborative tasks; secondly, coding and segmenting information flows into information items of IIS; thirdly,…
Descriptors: Foreign Countries, Computer Uses in Education, Program Effectiveness, Research Methodology
Young, Kyle McLendon – ProQuest LLC, 2010
A grounded theory research study employing network analysis as a means of facilitating the latter stages of the coding process was conducted at a selective university that competes at the highest level of college football. The purpose of the study was to develop a better understanding of how interactive dynamics and controlling mechanisms, such as…
Descriptors: Grounded Theory, Team Sports, College Athletics, Physical Activities
Shea, Peter; Hayes, Suzanne; Vickers, Jason; Gozza-Cohen, Mary; Uzuner, Sedef; Mehta, Ruchi; Valchova, Anna; Rangan, Prahalad – Internet and Higher Education, 2010
This study provides a simultaneous examination of all components of the Community of Inquiry (CoI) framework (Garrison, Anderson & Archer, 2000; Anderson, Rourke, Garrison & Archer, 2001; and Rourke, Garrison, Anderson & Archer, 1999) and seeks to extend previous work into the nature, development, and relationships between the constructs of…
Descriptors: Communities of Practice, Inquiry, Models, Network Analysis
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction