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Wang, 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
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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
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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
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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
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Gómez-García, Melchor; Soto-Varela, Roberto; Boumadan, Moussa; Matosas-López, Luis – Interactive Learning Environments, 2023
The emergence of social networks in the university context has contributed to modify students' behaviour, conditioning their academic performance and learning preferences. The objective is to analyse the influence of the patterns of use of social networks when predicting the usefulness that university students, give to different digital…
Descriptors: Foreign Countries, College Students, Social Networks, Social Media
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Bo Wang – Interactive Learning Environments, 2024
The rise and development of new network technologies have shaped a new information revolution. At the same time, they have penetrated education, including football training. The study aimed to determine the impact of network technologies on players' ability to cooperate, be engaged, and be creative when teaching football tactics. ANCOVA (analysis…
Descriptors: Team Sports, Cooperation, Creativity, Learner Engagement
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Duan, JinJu; Lu, Lin; Xie, Kui – Interactive Learning Environments, 2023
Knowledge construction can be facilitated through different types of social interactive environment. A knowledge network environment (KN) develops a knowledge-centered network visualizing the structure of collective knowledge. A social network environment (SN) creates a people-centered network visualizing the social relationships among people.…
Descriptors: Educational Environment, Cooperative Learning, Social Networks, Interpersonal Relationship
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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
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Jordi Guitart; Juan José Costa – Interactive Learning Environments, 2024
The pandemic situation banned the presence of teachers and students in the classrooms disrupting the typical teaching process. Videoconferencing services have been used successfully for lectures, but they are insufficient for hands-on laboratories where the physical presence is a requirement (i.e. to access specific hardware). Enabling remote…
Descriptors: Distance Education, Laboratories, Computer Networks, Videoconferencing
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Premlatha, K. R.; Dharani, B.; Geetha, T. V. – Interactive Learning Environments, 2016
E-learning allows learners individually to learn "anywhere, anytime" and offers immediate access to specific information. However, learners have different behaviors, learning styles, attitudes, and aptitudes, which affect their learning process, and therefore learning environments need to adapt according to these differences, so as to…
Descriptors: Electronic Learning, Profiles, Automation, Classification
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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
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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
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Chen, Chih-Ming; Chang, Chia-Cheng – Interactive Learning Environments, 2014
Many studies have identified web-based cooperative learning as an increasingly popular educational paradigm with potential to increase learner satisfaction and interactions. However, peer-to-peer interaction often suffers barriers owing to a failure to explore useful social interaction information in web-based cooperative learning environments.…
Descriptors: Social Networks, Cooperative Learning, Problem Based Learning, Web Based Instruction
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Huang, Yueh-Min; Huang, Yong-Ming; Liu, Chien-Hung; Tsai, Chin-Chung – Interactive Learning Environments, 2013
Web-based self-learning (WBSL) has received a lot of attention in recent years due to the vast amount of varied materials available in the Web 2.0 environment. However, this large amount of material also has resulted in a serious problem of cognitive overload that degrades the efficacy of learning. In this study, an information graphics method is…
Descriptors: Web 2.0 Technologies, Cognitive Processes, Difficulty Level, College Students
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Tseng, Shian-Shyong; Weng, Jui-Feng – Interactive Learning Environments, 2010
The most important thing for learners in Programming Language subject is problem solving. During the practical programming project, various problems may occur and learners usually need consultation from the senior programmers (i.e. the experts) to assist them in solving the problems. Thus, the inquiry-based learning with learning forum is applied…
Descriptors: Programming Languages, Inquiry, Active Learning, Problem Solving
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