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Pimmer, Christoph – Interactive Learning Environments, 2016
This paper examines digital and mobile learning that goes beyond bounded communities and closed domains. While recent work from the field of mobile learning has emphasized the importance of learning across "contexts," little analytical attention has been paid to the underlying dynamics of this phenomenon. To illuminate this, the four…
Descriptors: Telecommunications, Handheld Devices, Technology Uses in Education, Educational Technology
Girvan, C.; Savage, T. – Interactive Learning Environments, 2012
The combination of features in virtual worlds provides an opportunity to implement and research unique learning experiences. With increasing interest and activity from the educational research community, exploring virtual worlds for teaching and learning, there is a need to identify and understand the ethical implications of conducting research in…
Descriptors: Educational Research, Ethics, Virtual Classrooms, Learning Experience
Hwang, Wu-Yuin; Huang, Yueh-Min; Wu, Sheng-Yi – Interactive Learning Environments, 2011
The use of instant messaging to support e-learning will continue to gain importance because of its speed, effectiveness, and low cost. This study developed an MSN agent to mediate and facilitate students' learning in a Web-based course. The students' acceptance of the MSN agent and its effect on learning community identification and learning…
Descriptors: Electronic Learning, Feedback (Response), Web Based Instruction, Identification
Hazel, Paul – Interactive Learning Environments, 2008
The use of narrative within interactive learning environments (ILEs) is widespread. Reviewing recent research in the fields of ethnography, cognitive psychology, neurobiology, discourse analysis, and education, this paper proposes a rationale for the use of narrative in ILEs. Starting with a description of the origin of narrative in the brain, the…
Descriptors: Computer Assisted Instruction, Ethnography, Discourse Analysis, Cognitive Psychology
Yannibelli, Virginia; Godoy, Daniela; Amandi, Analia – Interactive Learning Environments, 2006
Learning styles encapsulate the preferences of the students, regarding how they learn. By including information about the student learning style, computer-based educational systems are able to adapt a course according to the individual characteristics of the students. In accomplishing this goal, educational systems have been mostly based on the…
Descriptors: Student Characteristics, Mathematical Models, Genetics, Educational Technology
Veen, Jan; Collis, Betty; Jones, Val – Interactive Learning Environments, 2003
Group-based learning is being introduced into many settings in higher education. Is this a sustainable development with respect to the resources required? Under what conditions can group-based learning be applied successfully in distance education and in increasingly flexible campus-based learning? Can networked support facilitate and enrich…
Descriptors: Higher Education, Identification, Sustainable Development, Distance Education

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