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Showing 1 to 15 of 78 results Save | Export
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Wang, Cheng; Butts, Carter T.; Hipp, John; Lakon, Cynthia M. – Sociological Methods & Research, 2022
The recent popularity of models that capture the dynamic coevolution of both network structure and behavior has driven the need for summary indices to assess the adequacy of these models to reproduce dynamic properties of scientific or practical importance. Whereas there are several existing indices for assessing the ability of the model to…
Descriptors: Models, Goodness of Fit, Comparative Analysis, Computer Software
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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
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Zhao, Anping; Yu, Yu – IEEE Transactions on Learning Technologies, 2022
To provide insight into online learners' interests in various knowledge from course discussion texts, modeling learners' sentiments and interests at different granularities are of great importance. In this article, the proposed framework combines a deep convolutional neural network and a hierarchical topic model to discover the hidden structure of…
Descriptors: Online Courses, Student Attitudes, Knowledge Level, Networks
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Deng, Xinjie; Yu, Zhonggen – Education and Information Technologies, 2023
As information technologies develop, social networking services have gradually gained attention from both researchers and practitioners. However, little is known about the technology adoption of social networking from the perspective of hedonic motivation. For this purpose, this study applied the hedonic motivation system adoption model (HMSAM) to…
Descriptors: Foreign Countries, College Students, Student Motivation, Models
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Purificación Alcaide-Pulido; Belén Gutiérrez-Villar; Mariano Carbonero-Ruz; Helena Alves – Journal of Marketing for Higher Education, 2024
Currently, the higher education sector can be considered a marketplace, within which university education is considered a marketable service in the literature on higher education management. The analysis of the variables that generate university image has been the subject of numerous studies on higher education institutions (HEIs). The purpose of…
Descriptors: Undergraduate Students, Student Attitudes, Reputation, Institutional Characteristics
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Amin Shahini – Language Learning in Higher Education, 2025
In recent years, Social Networking Sites (SNSs) have witnessed a substantial surge in global user adoption. Apart from their primary intended functionalities, these platforms have been increasingly utilized for language learning purposes. However, the extent to which they cater to the needs of language learners remains a longstanding question. The…
Descriptors: Social Media, Student Attitudes, Social Networks, English (Second Language)
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Keyu Zhai; Kang Cao – Asia Pacific Journal of Education, 2025
Although there is an abundance of research on international students' study and life experiences in the receiving countries and their post-study labour market outcomes in the sending countries, the motivations to study in a specific country have rarely been studied. Based on the theoretically grounded analysis, this article aims to explore the…
Descriptors: Foreign Countries, Study Abroad, Foreign Students, Student Mobility
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K. Keerthi Jain; J. N. V. Raghuram – Education and Information Technologies, 2024
This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study…
Descriptors: Prediction, Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge
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McCray, Janet; Joseph-Richard, Paul – Higher Education: The International Journal of Higher Education Research, 2020
This article asks what makes PhD completers resilient and which resilience protection factors help them complete their doctoral programme? A narrative inquiry methodology is applied to capture the experiences of eleven doctoral students who completed their PhDs in the United Kingdom. Data collected from interview conversations were analysed using…
Descriptors: Models, Resilience (Psychology), Doctoral Students, Doctoral Degrees
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Sigit, Diana Vivanti; Miarsyah, Mieke; Komala, Ratna; Suryanda, Ade; Ichsan, Ilmi Zajuli; Fadrikal, Rahmat – International Journal of Instruction, 2020
The purpose of this study was to measure student knowledge and attitudes in conservation of mangroves and coral reefs, introducing and applying Environmental Education Community Network (EECN) to students in wider scale. The method used in this research is a descriptive method and used a survey for gathering data. Samples were selected with simple…
Descriptors: Environmental Education, Student Attitudes, Conservation (Environment), Knowledge Level
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Sascha Mowrey; Kayla Lewis; Reesha Adamson – Teacher Education Quarterly, 2022
Effective collaboration among general education, special education, and support professionals is critical for the support of student learning and growth. However, preservice teachers rarely get the opportunity to learn about this process or to engage in meaningful interactions with professionals from other disciplines during their preparation…
Descriptors: Teacher Collaboration, Interprofessional Relationship, Regular and Special Education Relationship, Preservice Teachers
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Karajeh, Huda; Maqableh, Mahmoud; Rajab, Lama; Mohammad, Hiba; Khatib, Tahani; Al-Qirim, Nabeel; Tarhini, Ali – Education and Information Technologies, 2018
This study examined impact of a social media networks course on student use of SNSs performance. Moreover, it examined the associations among course design, course materials, learning experiences and a social media networks course. Survey instrument is used to examine the relationships in the proposed model. A total of 380 questionnaires have been…
Descriptors: Foreign Countries, Social Media, College Students, Networks
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Yildiz Durak, Hatice – Journal of Computing in Higher Education, 2019
Social network sites (SNSs) has a big potential to improve teaching and learning experience. It has become a necessity for teachers to transfer this technologies to learning environments has become a requirement. For this reason, the use of SNSs in the education process of preservice teachers who are the teachers of the future and examination of…
Descriptors: Social Networks, Teaching Methods, Learning Experience, Preservice Teacher Education
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Samad, Sarminah; Nilashi, Mehrbakhsh; Ibrahim, Othman – Education and Information Technologies, 2019
Social networking sites have played an important role in enhancing students' social presence. As an educational tool for online courses, they have significantly contributed in promoting students' motivation for learning. The aim of this research is to investigate the impact of social networking sites on students' academic performance. We conduct a…
Descriptors: Social Networks, Academic Achievement, Correlation, Social Media
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Wang, Qi; Zhang, Ning; Ma, Wulin – SAGE Open, 2023
This paper is designed to explore the current status of Chinese EFL teachers' use of digital resources in doing research and its influential factors. It classifies digital resources into six types aligned to the research process and uses the revised TAM to find out and explain its influential factors. A total of 180 teachers were investigated via…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Teachers
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