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Danijela Stojanovic; Zorica Bogdanovic; Luka Petrovic; Svetlana Mitrovic; Aleksandra Labus – Interactive Learning Environments, 2023
In this paper we present an approach to employing pervasive technologies, such as IoT and mobile technologies, in secondary education. The goal is to develop a comprehensive methodology, IoT infrastructure and a mobile application that would enable secondary students to test their knowledge in interaction with a smart environment. We have…
Descriptors: Learning Processes, Secondary School Students, Technology Uses in Education, Handheld Devices
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Hua-yang Zhang; Yi-xin Wang; Wei Liu – Interactive Learning Environments, 2024
During the normalization of COVID-19 control measures, more and more high school students are learning through the Internet. With the widespread use of online teaching, students' internet self-efficacy has become an important factor in measuring students' online learning ability. Although researchers have been paying greater attention to the…
Descriptors: High School Students, Internet, Self Efficacy, Influence of Technology
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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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Halimi, Khaled; Seridi-Bouchelaghem, Hassina; Faron-Zucker, Catherine – Interactive Learning Environments, 2014
Compared with learning in classrooms, classical e-learning systems are less adaptive and once a system that supports a particular strategy has been designed and implemented, it is less likely to change according to student's interactions and preferences. Remote educational systems should be developed to ensure as much as necessary the…
Descriptors: Electronic Learning, Learning Processes, Semantics, Student Interests
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Casquero, Oskar; Portillo, Javier; Ovelar, Ramon; Benito, Manuel; Romo, Jesus – Interactive Learning Environments, 2010
Universities can offer eLearning 2.0 tools and services to learners while obtaining clear benefits from releasing the control over some learning content. This means a shift from the institution centred and monolithic model of traditional virtual learning environments (VLEs) to a more heterogeneous and open model. This article tries to plot an…
Descriptors: Web Sites, Learning Processes, Internet, Client Server Architecture
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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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Oliver, Ron; Herrington, Jan – Interactive Learning Environments, 2003
A considerable amount of the effort and enthusiasm that goes into the development and implementation of technology-mediated learning environments often fails to create effective settings for learning. Too often the opportunities and advantages of the use of technology in the learning process are poorly exploited. This paper explores ways in which…
Descriptors: Online Courses, Instructional Design, Technology Integration, Computer Uses in Education