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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
Hii, Puong Koh; Goh, Chin Fei; Tan, Owee Kowang; Amran, Rasli; Ong, Choon Hee – Education and Information Technologies, 2023
The underutilization of e-learning among university lecturers is an important issue that needs to be resolved. This study aimed to formulate an e-learning postadoption model for Malaysian universities. Data were collected using self-administered questionnaires involving 36 e-learning experts who from lecturers in public and private universities in…
Descriptors: Information Systems, Success, Models, Electronic Learning
Xiaoyan Chu; Minjuan Wang; Jonathan Michael Spector; Nian-Shing Chen; Ching Sing Chai; Gwo-Jen Hwang; Xuesong Zhai – Educational Technology Research and Development, 2025
The Flipped Classroom Model (FCM) has gained widespread acceptance in higher education as an effective pedagogical strategy. Despite its success, the FCM still faces persistent concerns, including a lack of personalized interaction, limited application to introductory courses, and insufficient analysis of the learning process. The integration of…
Descriptors: Flipped Classroom, Artificial Intelligence, Technology Uses in Education, Educational Technology
Jordan, Katy – Learning, Media and Technology, 2020
The rise of social media and its permeation into all aspects of social life has in turn led to its adoption and use by academics in their professional lives. Social media, and social networking sites in particular, require profiles and cultivation of an online identity. An individual may use a range of online platforms, and existing models of…
Descriptors: Identification (Psychology), Professional Identity, Social Media, Models
Kristina Marie Lux – ProQuest LLC, 2023
The purpose of this study is to create a model of tertiary vocational education in Kenya. Despite considerable progress in Kenya over the last 20 years, current education models, low attendance, and low academic proficiency levels preclude many vulnerable learners from becoming employable. Utilizing semi structured interviews of eight Kenyan…
Descriptors: Vocational Education, Higher Education, Academic Achievement, Educational Development
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
Edinova, Maria – Tuning Journal for Higher Education, 2020
The aim of this article is to explore the characteristics of the new model of PhD programs (using the case of SPSU) and to test the following hypothesis: the new model of PhD programs in Saint-Petersburg State University (SPSU) is relevant and useful for innovative development and knowledge economy formation. The hypothesis was tested according to…
Descriptors: Foreign Countries, Doctoral Programs, Educational Development, Graduate Study
Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
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
Gardner, Josh; Brooks, Christopher; Li, Warren – Journal of Learning Analytics, 2018
In this paper, we evaluate the complete undergraduate co-enrollment network over a decade of education at a large American public university. We provide descriptive and exploratory analyses of the network, demonstrating that the co-enrollment networks evaluated follow power-law degree distributions similar to many other large-scale networks; that…
Descriptors: Markov Processes, Classification, Undergraduate Students, Grade Point Average
Fagan, Jesse; Eddens, Katherine S.; Dolly, Jennifer; Vanderford, Nathan L.; Weiss, Heidi; Levens, Justin S. – Journal of Research Administration, 2018
Interdisciplinary research collaboration is needed to perform transformative science and accelerate innovation. The Science of Team Science strives to investigate, evaluate, and foster team science, including institutional policies that may promote or hinder collaborative interdisciplinary research and the resources and infrastructure needed to…
Descriptors: Authors, Network Analysis, Social Networks, Interdisciplinary Approach
Hu, Po – ProQuest LLC, 2018
The purpose of this study is to explore the nature of complex adaptive systems (CAS) and network dynamics in international education (IE) programs in a U.S. higher education institution. I analyze the IE programs through a lens of complexity and network theories and ask how measures of engagement in complex networks affect performance in the IE…
Descriptors: International Education, Higher Education, Network Analysis, Program Evaluation
González Canché, Manuel S. – Review of Higher Education, 2018
This study measures the extent to which student outmigration outside the 4-year sector takes place and posits that the benefits from attracting non-resident students exist regardless of sector of enrollment. The study also provides empirical evidence about the relevance of employing geographical network analysis (GNA) and spatial econometrics in…
Descriptors: Network Analysis, Geographic Distribution, Student Mobility, Educational Principles
Zwolak, Justyna P.; Dou, Remy; Williams, Eric A.; Brewe, Eric – Physical Review Physics Education Research, 2017
Increasing student retention (successfully finishing a particular course) and persistence (continuing through a sequence of courses or the major area of study) is currently a major challenge for universities. While students' academic and social integration into an institution seems to be vital for student retention, research into the effect of…
Descriptors: Physics, Introductory Courses, School Holding Power, Academic Persistence