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Xia, Xiaona – Interactive Learning Environments, 2023
Learning interaction activities are the key part of tracking and evaluating learning behaviors, that plays an important role in data-driven autonomous learning and optimized learning in interactive learning environments. In this study, a big data set of learning behaviors with multiple learning periods is selected. According to the instance…
Descriptors: Behavior, Learning Processes, Electronic Learning, Algorithms
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Gang Lei – Interactive Learning Environments, 2024
With the emergence of the Industrial Revolution 4.0, modern technologies such as cloud computing, artificial intelligence, and big data are profoundly transforming the education ecosystem. The development of education is not only faced with huge challenges but also contains rare opportunities. New concepts such as deep learning, adaptive learning,…
Descriptors: Educational Technology, Artificial Intelligence, Blended Learning, Data
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Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
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Lafuente, Marc – Interactive Learning Environments, 2017
Through profiling and matching processes, technology provides individuals with information that becomes redundant to their previous beliefs, attitudes and preferences. The emergence of informational redundancies encouraged by some technologies is likely to influence the way knowledge is constructed by individuals in these settings. In this paper,…
Descriptors: Learning Processes, Influence of Technology, Technology Uses in Education, Barriers
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Chen, Sherry Y.; Liu, Xiaohui – Interactive Learning Environments, 2011
Personalization has been widely used in Web-based instruction (WBI). To deliver effective personalization, there is a need to understand different preferences of each student. Cognitive style has been identified as one of the most pertinent factors that affect students' learning preferences. Therefore, it is essential to investigate how learners…
Descriptors: Cognitive Style, Web Based Instruction, Internet, Learning Processes
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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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Laru, Jari; Jarvela, Sanna; Clariana, Roy B. – Interactive Learning Environments, 2012
This study explores how collaborative inquiry learning can be supported with multiple scaffolding agents in a real-life field trip context. In practice, a mobile peer-to-peer messaging tool provided meta-cognitive and procedural support, while tutors and a nature guide provided more dynamic scaffolding in order to support argumentative discussions…
Descriptors: Foreign Countries, Educational Technology, Field Trips, Persuasive Discourse
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Huang, Wen-Hao David; Nakazawa, Kazuaki – Interactive Learning Environments, 2010
As Web 2.0 emerging technologies are gaining momentum in higher education, educators as well as students are finding new ways to integrate them for teaching and learning. Technologies such as blogs, wikis and multimedia-sharing utilities have been used to teach various subject matters. This trend not only creates new opportunities for us to afford…
Descriptors: Reading Assignments, Web Sites, Online Courses, Learning Processes
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Wilhelm, Pascal; Beishuizen, Jos J. – Interactive Learning Environments, 2004
Asking learners standardized questions during performance of a self-directed inductive learning task might be a useful way to complement think aloud protocol data. However, asking questions might also scaffold the learning process and thus influence the exact processes one wants to study. In the study described in this paper two groups of learners…
Descriptors: Learning Processes, Logical Thinking
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Lofstrom, Erika; Nevgi, Anne – Interactive Learning Environments, 2008
This article focuses on how the teachers' pedagogical awareness is displayed and shaped while they learn to use information and communication technology (ICT) in their teaching and the aim here is to increase our understanding of university teachers as learners and as developers of their pedagogical awareness. The pedagogical awareness of teachers…
Descriptors: Pedagogical Content Knowledge, College Faculty, Educational Technology, Electronic Publishing
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Smits, Marieke H. S. B.; Boon, Jo; Sluijsmans, Dominique M. A.; van Gog, Tamara – Interactive Learning Environments, 2008
This study investigated the effectiveness of different types of feedback content (elaborate versus global) and feedback timing (immediate versus delayed) for learning genetics in a web-based learning environment as a function of learners' prior knowledge. It was hypothesized that learning outcomes of students with low prior knowledge would be…
Descriptors: Feedback (Response), Student Attitudes, Computer Assisted Instruction, Prior Learning
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Michael, Joel; Rovick, Allen; Glass, Michael; Zhou, Yujian; Evens, Martha – Interactive Learning Environments, 2003
CIRCSIM-Tutor is a computer tutor designed to carry out a natural language dialogue with a medical student. Its domain is the baroreceptor reflex, the part of the cardiovascular system that is responsible for maintaining a constant blood pressure. CIRCSIM-Tutor's interaction with students is modeled after the tutoring behavior of two experienced…
Descriptors: Natural Language Processing, Medical Students, Computer Mediated Communication, Artificial Intelligence
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Shute, Valerie J.; Glaser, Robert – Interactive Learning Environments, 1990
Presents an evaluation of "Smithtown," an intelligent tutoring system designed to teach inductive inquiry skills and principles of basic microeconomics. Two studies of individual differences in learning are described, including a comparison of knowledge acquisition with traditional instruction; hypotheses tested are discussed; and the…
Descriptors: Artificial Intelligence, Cluster Analysis, Comparative Analysis, Computer Assisted Instruction