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Wangda Zhu; Ying Hua – Interactive Learning Environments, 2024
During the COVID-19 quarantine, we conducted a field-setting pre/post-test randomized experiment (n = 115), creating a community using the social media application Instagram to enhance students' interactions with their peers and immediate physical environments in a large, introductory online course in environmental psychology. We used the…
Descriptors: Learning Experience, Social Networks, Social Media, Cooperative Learning
Min-Chi Chiu; Gwo-Jen Hwang; Yun-Fang Tu – Interactive Learning Environments, 2024
This research reviews 56 robots in science education (RSE) research articles published in SSCI (Social Sciences Citation Index) journals in the Web of Science (WoS) database. The analysis results showed that there were three clusters of RSE studies: robots in elementary science education, robot-based STEM activities, and robot-facilitated…
Descriptors: Robotics, Science Education, Literature Reviews, Bibliometrics
Zheng, Juan; Xing, Wanli; Huang, Xudong; Li, Shan; Chen, Guanhua; Xie, Charles – Interactive Learning Environments, 2023
Research on self-regulated learning (SRL) in engineering design is growing. While SRL is an effective way of learning, however, not all learners can regulate themselves successfully. There is a lack of research regarding how student characteristics, such as science knowledge and design knowledge, interact with SRL. Adapting the SRL theory in the…
Descriptors: Engineering Education, Achievement Gains, Knowledge Level, Learning Strategies
Lin, Kuen-Yi; Lu, Shao-Chuan; Hsiao, Hsien-Hsien; Kao, Chia-Pin; Williams, P. John – Interactive Learning Environments, 2023
Over the past few years, digital fabrication has been utilized in technology laboratories to emphasize hands-on learning processes in technology and engineering education. Recent studies indicate that hands-on activities can help students connect with science, technology, engineering, and mathematics (STEM) disciplines and develop key skills…
Descriptors: STEM Education, Imagination, Vocational Interests, Repetition
Elfeky, Abdellah Ibrahim Mohammed; Elbyaly, Marwa Yasien Helmy – Interactive Learning Environments, 2023
Data analytics technique in education provides unparalleled opportunities in the era of e-learning platforms to support students. In this context, learning management system (LMS) as a platform allows recording the learner's activity recorded in order to explore data unique types coming from the academic context in order to improve the learning…
Descriptors: Data Analysis, Learning Management Systems, Clothing Instruction, Design
Wu, Pengfei; Ma, Fengjuan; Yu, Shengquan – Interactive Learning Environments, 2023
A linked data approach provides new opportunities for annotating, interlinking, sharing and enriching massive open online educational resources. However, it can be difficult for non-expert users to build and utilize the educational linked data in educational settings. Thus, flexible and user-friendly ways to represent, interlink, visualize and…
Descriptors: Art Education, Design, Undergraduate Students, Student Motivation
Li Jin; Dawei Shang – Interactive Learning Environments, 2024
Massive open online courses (MOOC) have become important in the learning process and have been adopted in higher education, especially during the COVID-19 pandemic. However, few studies investigated MOOC continuance intention (CI) for arts disciplines. Thus, an integrated framework was proposed based on the expectation-confirmation model (ECM) and…
Descriptors: Art Education, MOOCs, Computer System Design, Continuing Education
Jian-Guo Jiang; Qing-Shen Li; Xin Guan – Interactive Learning Environments, 2024
Experimental learning is one kind of contextual learning, which places learners in a variety of virtual or real contexts to acquire knowledge, gain ability and experience, and generates emotion through experiencing and perceiving, communicating and exploring, and self-reflecting. Applying VR technology to experiential learning involves both…
Descriptors: Experiential Learning, Computer Simulation, Global Approach, Technology Uses in Education
Chang, Chi-Cheng; Chen, Yiching – Interactive Learning Environments, 2022
This study aims to explore psychomotor performance and perception on task-centered hands-on STEM learning of educational robotics. The study adopted a convergent parallel mixed method to gather both quantitative and qualitative data in the same period of time. Participants were 42 tenth-grade students (25 male students and 17 female students) from…
Descriptors: Mastery Learning, Hands on Science, STEM Education, Robotics
Martinez-Maldonado, Roberto; Elliott, Doug; Axisa, Carmen; Power, Tamara; Echeverria, Vanessa; Buckingham Shum, Simon – Interactive Learning Environments, 2022
Learning Analytics (LA) systems can offer new insights into learners' behaviours through analysis of multiple data streams. There remains however a dearth of research about how LA interfaces can enable effective communication of educationally meaningful insights to teachers and learners. This highlights the need for a participatory, horizontal…
Descriptors: Learning Analytics, Design, Teamwork, Clinical Experience
Huo, Yi; Wang, A'Xi; Zhao, Ying – Interactive Learning Environments, 2023
Smart education and ubiquitous learning have come over globally, especially under coronavirus regime. Visual media and interactive operation can draw children's attention and interests, so the VR educational software becomes a prominent trend for training children. However, in K12 education, the VR technology is just in its initial period. In the…
Descriptors: Student Projects, Active Learning, Computer Simulation, Preservice Teachers
Xin Cao; Yen Hsu – Interactive Learning Environments, 2023
Virtual experiments are widely used in the field of education for their low cost, strong interaction, hyperspace and safety advantages. While some researchers have analysed the impact of virtual technologies such as AR or VR on teaching effectiveness, few researchers have comprehensively explored the impact of virtual experiments on students'…
Descriptors: Influence of Technology, Electronic Learning, School Effectiveness, Laboratory Experiments
Hasan Zuhtu Okulu; Nilay Muslu – Interactive Learning Environments, 2024
ChatGPT holds significant potential for enhancing learning through integration into education as an advanced chatbot. With the goal of harnessing this potential, our research focused on exploring the utilization of ChatGPT in designing a course plan for pre-service science teachers. We adopted a qualitative research approach and employed ChatGPT…
Descriptors: Preservice Teachers, Science Teachers, Science Instruction, Instructional Design
Kim, Mi Song – Interactive Learning Environments, 2021
Collaboration is often emphasized as one of the key twenty-first century competencies to promote scientific literacies through many representational modes. However, collaborative interactions have been often characterized as a coordinated, synchronous, and symmetrical activity in terms of the same level of knowledge with little attention paid…
Descriptors: Cooperative Learning, Astronomy, Foreign Countries, Scientific Literacy
Kim, Min Kyu; Gaul, Cassandra J.; Bundrage, Crystal N.; Madathany, Reeny J. – Interactive Learning Environments, 2023
In this article, we explored the potential of the Student Mental Model Analyzer for Research and Teaching (SMART) technology that was designed to help students write and revise high-quality summaries of complex texts. Grounded in the design research, the aim of this pilot study was twofold: (a) to generate insights to further improve the SMART…
Descriptors: Technology Uses in Education, Reading Comprehension, Educational Technology, Schemata (Cognition)

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