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Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
Murai, Yumiko; Ikejiri, Ryohei; Yamauchi, Yuhei; Tanaka, Ai; Nakano, Seiko – Interactive Learning Environments, 2023
Cultivating children's creativity and imagination is fundamental to preparing them for an increasingly complex and uncertain future. Engaging in creative learning enables children to think independently and critically, work cooperatively, and take risks while actively engaged in meaningful projects. While current trends in education, such as maker…
Descriptors: Creativity, Imagination, Teaching Methods, Computer Science Education
Xu, Zhe; Gu, Xiaoqing – Interactive Learning Environments, 2017
Using tools to support learning design has been proven feasible in improving the integration of technology into the curriculum. However, novice teachers are faced with two major issues, including their limited experience in learning design and limited ability in using new technologies. Learning map is explored and developed in e-Textbooks to…
Descriptors: Beginning Teachers, Concept Mapping, Instructional Design, Case Studies
Miwa, Kazuhisa; Morita, Junya; Nakaike, Ryuichi; Terai, Hitoshi – Interactive Learning Environments, 2014
Cognitive modelling is one of the representative research methods in cognitive science. It is believed that creating cognitive models promotes learners' meta-cognitive activities such as self-monitoring and reflecting on their own cognitive processing. Preceding studies have confirmed that such meta-cognitive activities actually promote learning…
Descriptors: Metacognition, Models, Reflection, Instructional Design
Wong, Lung-Hsiang; Looi, Chee-Kit – Interactive Learning Environments, 2012
The notion of a system adapting itself to provide support for learning has always been an important issue of research for technology-enabled learning. One approach to provide adaptivity is to use social navigation approaches and techniques which involve analysing data of what was previously selected by a cluster of users or what worked for…
Descriptors: Electronic Learning, Entomology, Educational Technology, Individualized Instruction
The Social Semantic Web in Intelligent Learning Environments: State of the Art and Future Challenges
Jovanovic, Jelena; Gasevic, Dragan; Torniai, Carlo; Bateman, Scott; Hatala, Marek – Interactive Learning Environments, 2009
Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments…
Descriptors: Models, Interaction, Educational Technology, Design Requirements
Chu, Hui-Chun; Hwang, Gwo-Jen; Tsai, Chin-Chung; Chen, Nian-Shing – Interactive Learning Environments, 2009
Although Web 2.0 technologies have been recognized as effective means of conducting group learning activities, a critical and challenging issue of Web 2.0-based learning is the lack of mechanisms for promoting information exchanges and sharing among participating students. To cope with this problem, an intelligent blog system is proposed in this…
Descriptors: Web Sites, Electronic Publishing, Learning Activities, Teaching Methods