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Zhan, Zehui; Mei, Hu; Liang, Ting; Huo, Liming; Bonk, Curtis; Hu, Qintai – Interactive Learning Environments, 2023
The purpose of this study is to examine the effect of material incentives on the knowledge-sharing networks and information lifecycles of a public online forum. The users' interaction data were collected from two similar sub-forums, and one of them provided material incentives for sharing knowledge. After collecting user behaviors for one natural…
Descriptors: Longitudinal Studies, Incentives, Networks, Computer Mediated Communication
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
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
Xu Yaqian; Zheng Qinhua – Interactive Learning Environments, 2024
The interactive mechanism between social and concept networks is a key question in connectivist learning, which explains the impact of interaction on cognitive development and knowledge generation. The successful practice of "Internet Change Education: Dialogue between Theory and Practice", the first cMOOC in China, provides data support…
Descriptors: Correlation, Social Networks, Status, MOOCs
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
Pei, Bo; Xing, Wanli; Wang, Minjuan – Interactive Learning Environments, 2023
Multimodal Learning Analytics (MMLA) has huge potential for extending the work beyond traditional learning analytics for the capabilities of leveraging multiple data modalities (e.g. physiological data, digital tracing data). To shed a light on its applications and academic development, a systematic bibliometric analysis was conducted in this…
Descriptors: Learning Analytics, Bibliometrics, Publications, Citations (References)
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
Senthil Kumaran, V.; Malar, B. – Interactive Learning Environments, 2023
Churn in e-learning refers to learners who gradually perform less and become lethargic and may potentially drop out from the course. Churn prediction is a highly sensitive and critical task in an e-learning system because inaccurate predictions might cause undesired consequences. A lot of approaches proposed in the literature analyzed and modeled…
Descriptors: Electronic Learning, Dropouts, Accuracy, Classification
Shan, JunHao; Wang, Wei – Interactive Learning Environments, 2023
Collaboration is the key element of maker movement. Online maker community is a new environment for makers to collaborate with one another voluntarily. This article selected one of the largest open online maker communities in China as the research sample. A total of 1292 postings selected from 19 threads were coded using Schaefer et al.'s (2019,…
Descriptors: Communities of Practice, Creativity, Entrepreneurship, Computer Mediated Communication
Zhang, Hai; Yu, Luyao; Cui, Yulu; Ji, Mengxue; Wang, Yining – Interactive Learning Environments, 2022
The study of teacher development and teaching interaction in physical classrooms has presented research problems, but with the development of classroom observation and video analysis, quantitative and visual analysis of the teaching process has been realized. In order to better understand the teaching models of teachers, this study is devoted to…
Descriptors: Classroom Observation Techniques, Teacher Evaluation, Teaching Methods, Teaching Models
Liu, Chenchen; Hwang, Gwo-Jen; Tu, Yun-fang; Yin, Yiqing; Wang, Youmei – Interactive Learning Environments, 2023
This study reviewed the mobile technology-supported music education (MTSME) studies published in several academic databases, namely Scopus, WOS, ERIC, and RILM, from 2008-2019. Based on the technology-based learning model, the application domains, research issues, sample groups, research methods, adopted devices, and learning strategies were…
Descriptors: Computer Assisted Instruction, Teaching Methods, Telecommunications, Handheld Devices
Tan, Hongye; Wang, Chong; Duan, Qinglong; Lu, Yu; Zhang, Hu; Li, Ru – Interactive Learning Environments, 2023
Automatic short answer grading (ASAG) is a challenging task that aims to predict a score for a given student response. Previous works on ASAG mainly use nonneural or neural methods. However, the former depends on handcrafted features and is limited by its inflexibility and high cost, and the latter ignores global word cooccurrence in a corpus and…
Descriptors: Automation, Grading, Computer Assisted Testing, Graphs
Zhai, Xuesong; Wang, Minjuan; Chen, Nian-Shing; Ghani, Usman; Cacciolatti, Luca – Interactive Learning Environments, 2023
Social networking sites (SNSs) are widely used to support online learning and knowledge exchange (KE) in projects that require the coordination of collaborative team-playing, especially in COVID-19 world pandemic. Paradoxically, while digital infrastructures enable instant communication, SNSs are not always conducive to KE behaviours, as learners…
Descriptors: Social Networks, Cooperation, Internet, Test Construction
Heidari, Elham; Salimi, Ghasem; Mehrvarz, Mahboobe – Interactive Learning Environments, 2023
Studies have revealed that individuals' identities can be shaped not only offline but also online. However, the formation of online identity of students in higher education environments is complex. Empirical evidence has suggested that academics are interested in using social media to enhance their professional identity and reputation. The current…
Descriptors: Social Networks, Social Capital, Professional Identity, Graduate Students
Jingjing Shao; Lu Cheng; Yansu Wang; Keru Li; Yanyan Li – Interactive Learning Environments, 2024
Although peer feedback has been proposed as an instructional strategy for cultivating critical thinking, high-quality peer feedback is difficult to obtain. Regulation scripts are a promising scaffold for this activity. Besides, few previous studies have explored the dynamic relationship between feedback content and critical thinking. Therefore,…
Descriptors: Peer Evaluation, Feedback (Response), Scripts, Critical Thinking