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Direct linkWang, Wenjing; Li, Xiaoshan – Interactive Learning Environments, 2023
In the present study, using complex network analysis, we conducted a one-year including two semesters to investigate the effect of social network intervention on college students' social perception biases. One hundred and seventy college students participated in this study. Social network intervention was implemented in the second semester.…
Descriptors: College Students, Social Attitudes, Social Bias, Social Networks
Elísabet Mora; Natalia Vila; Inés Küster – Interactive Learning Environments, 2024
Market research topics and methodologies are gaining presence in the most syllabus of university degrees. Today's students will probably become business managers of companies commercializing different products and services, such as hotels, restaurants, or cultural products and services. Because of this, they must learn how to apply quantitative…
Descriptors: Social Media, Content Analysis, Teaching Methods, Marketing
Yoshida, Masami; Xiong, Chun; Liu, Yunyun; Liu, Hongyan – Interactive Learning Environments, 2023
This study aims to identify the formulation differences of groups in two online activities in a university course with different strategies by using social network analysis. Specifically, the connections within the members and identification of brokers were analyzed. Whilst the group enhancing a "community of practice" in WeChat by…
Descriptors: Communities of Practice, Social Networks, Network Analysis, Social Media
Yun-Fang Tu; Gwo-Jen Hwang – Interactive Learning Environments, 2024
The present study employed the draw-a-picture technique and epistemic network analysis (ENA) to reveal university students' viewpoints on ChatGPT-supported learning, as well as the conceptions, roles, and educational objectives of ChatGPT-supported learning among university students with different learning attitudes. The results showed that…
Descriptors: College Students, Student Attitudes, Knowledge Level, Artificial Intelligence
Cixiao Wang; Jianjun Xiao – Interactive Learning Environments, 2024
Community-based courses, driven by connectivist learning theory, provide learners with a social environment that supports collaborative problem solving (CPS). The purpose of this study is to investigate the characteristics of potential collaborators before they engage in CPS. This study analyzed a community-based course, a cMOOC with a total of…
Descriptors: Network Analysis, Longitudinal Studies, Age Differences, Gender Differences
Toikkanen, Tarmo; Lipponen, Lasse – Interactive Learning Environments, 2011
Studying networked learning (NL) by applying social network analysis (SNA) has gained popularity in recent years. However, it appears that in the context of NL the choice of SNA indices is very often dictated by using easily achievable SNA tools. Most studies in this field only involve a single group of students and utilise simple indices, such as…
Descriptors: College Students, Network Analysis, Social Networks, Learning Processes
Chang, Y. J.; Chang, Y. S. – Interactive Learning Environments, 2014
Blogs provide contextualization of the information which is vital to the process of peer support. Through dialogues initiated by blog authors and followed by readers, blog platforms build a viable base of shared experiences and mutual relationships. We employ blogs as interactive learning tools for communities of practice in higher education.…
Descriptors: Electronic Publishing, Web Sites, Usability, Blended Learning
