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Showing 1 to 15 of 22 results Save | Export
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Albers, Fabian; Trypke, Melanie; Stebner, Ferdinand; Wirth, Joachim; Plass, Jan L. – British Journal of Educational Psychology, 2023
Background: What is redundancy? While most studies confirm that redundancy is harmful to learning, there are two theoretical approaches to redundancy. The first understands redundancy as a contentual overlap that puts demand on the limited cognitive capacities of the learner. The second understands redundancy as an ineffective combination of…
Descriptors: Cognitive Ability, Short Term Memory, Undergraduate Students, Learning Theories
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Murphy, Tony – Tertiary Education and Management, 2019
This literature review proposes a mechanism for assessing the extent to which the processes involved in developing blended learning courses are managed. A review of the literature on the development of blended learning courses reveals a wide disparity in how these processes are managed. Emerging from the review is a set of criteria that constitute…
Descriptors: Blended Learning, Case Studies, Classification, Comparative Analysis
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Pishtari, Gerti; Prieto, Luis P.; Rodriguez-Triana, Maria Jesus; Martinez-Maldonado, Roberto – Journal of Learning Analytics, 2022
This research was triggered by the identified need in literature for large-scale studies about the kinds of designs that teachers create for mobile learning (m-learning). These studies require analyses of large datasets of learning designs. The common approach followed by researchers when analyzing designs has been to manually classify them…
Descriptors: Scaling, Classification, Context Effect, Telecommunications
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Huynh, Tra; Madsen, Adrian; McKagan, Sarah; Sayre, Eleanor – Information and Learning Sciences, 2021
Purpose: Personas are lifelike characters that are driven by potential or real users' personal goals and experiences when interacting with a product. Personas support user-centered design by focusing on real users' needs. However, the use of personas in educational research and design requires certain adjustments from its original use in…
Descriptors: Phenomenology, Instructional Design, Classification, Faculty Development
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Zhang, Yin; Chu, Samuel K. W. – International Review of Research in Open and Distributed Learning, 2016
In recent years, a number of models concerning problem solving systems have been put forward. However, many of them stress on technology and neglect the research of problem solving itself, especially the learning mechanism related to problem solving. In this paper, we analyze the learning mechanism of problem solving, and propose that when…
Descriptors: Web Based Instruction, Problem Solving, Foreign Countries, Information Processing
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Govindasamy, Malliga K. – Journal of Educational Multimedia and Hypermedia, 2013
This study was designed to examine whether embodied agent integrated with the pedagogical approach of learning by asking questions impacts lower academic ability students' perceived science self-efficacy beliefs, immediate and delayed retention and whether the students' cognitive styles interact with the treatment condition in the outcome…
Descriptors: Self Efficacy, Student Attitudes, Energy, Retention (Psychology)
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Bedwell, Wendy L.; Pavlas, Davin; Heyne, Kyle; Lazzara, Elizabeth H.; Salas, Eduardo – Simulation & Gaming, 2012
The serious games community is moving toward research focusing on direct comparisons between learning outcomes of serious games and those of more traditional training methods. Such comparisons are difficult, however, due to the lack of a consistent taxonomy of game attributes for serious games. Without a clear understanding of what truly…
Descriptors: Taxonomy, Comparative Analysis, Video Games, Computer Games
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Ozpolat, Ebru; Akar, Gozde B. – Computers & Education, 2009
A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing…
Descriptors: Cognitive Style, Classification, Measures (Individuals), Measurement Techniques
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Baschera, Gian-Marco; Gross, Markus – International Journal of Artificial Intelligence in Education, 2010
We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…
Descriptors: Foreign Countries, Spelling, Intelligent Tutoring Systems, Prediction
Pontes, Elvis, Ed.; Silva, Anderson, Ed.; Guelfi, Adilson, Ed.; Kofuji, Sergio Takeo, Ed. – InTech, 2012
With the resources provided by communication technologies, E-learning has been employed in multiple universities, as well as in wide range of training centers and schools. This book presents a structured collection of chapters, dealing with the subject and stressing the importance of E-learning. It shows the evolution of E-learning, with…
Descriptors: Foreign Countries, Educational Technology, Virtual Classrooms, Program Effectiveness
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Laakso, Mikko-Jussi; Myller, Niko; Korhonen, Ari – Educational Technology & Society, 2009
In this paper, two emerging learning and teaching methods have been studied: collaboration in concert with algorithm visualization. When visualizations have been employed in collaborative learning, collaboration introduces new challenges for the visualization tools. In addition, new theories are needed to guide the development and research of the…
Descriptors: Visualization, Teaching Methods, Classification, Comparative Analysis
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Edmonds, Gerald S.; And Others – Educational Technology Research and Development, 1994
Presents a conceptual framework for comparing instructional design models and employing appropriate design applications. Highlights include the classification system on which the framework is centered and how the framework allows for the models' instructional context and the size of the audience. (27 references) (KRN)
Descriptors: Classification, Comparative Analysis, Evaluation, Evaluation Methods
Frey, Linda A.; Reigeluth, Charles M. – Journal of Instructional Development, 1986
Describes tutoring models and compares instructional strategies classified as organizational, delivery, and management strategies, in those models that have been found effective: Literacy Volunteers, Laubach Literacy, Structured Tutoring, Programmed Tutoring, Peer-Mediated Instruction, and the Audio-Tutorial System. Tutoring cost-effectiveness and…
Descriptors: Administration, Classification, Comparative Analysis, Cost Effectiveness
Low, William C. – Journal of Instructional Development, 1980
Examines the implications of cognitive psychology for some of the fundamental components of instructional development. Behaviorism and information processing are compared in their relationships to instructional design, and potential changes for such ideas as objectives, evaluation, instructional taxonomies, content analysis, and instructional…
Descriptors: Behavioral Objectives, Bibliographies, Classification, Comparative Analysis
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Gulmans, Jan – Educational and Training Technology International, 1991
Discusses a new model of concept learning called prototype theory and describes an experiment with nursing education students in which the differential effects of prototype formation on classification were explored through an instructional program on the concept of shock. Hypotheses tested are discussed and results of pretests and posttests are…
Descriptors: Classification, Comparative Analysis, Concept Formation, Epistemology
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