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Showing 1 to 15 of 32 results Save | Export
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Jost, Patrick – International Association for Development of the Information Society, 2021
Educators are increasingly confronted with technology-driven learning scenarios. Even before the push from the current pandemic, digital learning apps became an integrated didactic tool. Advanced computing can thereby support the digital content creation for educational courses offered on mobile platforms. Computed media content such as natural…
Descriptors: Artificial Intelligence, Computer Software, Nonverbal Communication, Decision Making
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Cattaneo, Alberto A. P.; van der Meij, Hans; Aprea, Carmela; Sauli, Florinda; Zahn, Carmen – Interactive Learning Environments, 2019
In this article, we provide a conceptual model for the design of instructional scenarios integrating hypervideo as an instructional tool. The model provides a structural aid for making design decisions about using hypervideo in instruction. We start by introducing the theoretical rationale for hypervideo as a tool, exploiting three different…
Descriptors: Instructional Design, Vignettes, Hypermedia, Interactive Video
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Dounas, Lamiae; Salinesi, Camille; Beqqali, Omar El – Journal of Information Technology Education: Research, 2019
Aim/Purpose: In this paper, we highlight the need to monitor and diagnose adaptive e-learning systems requirements at runtime to develop a better understanding of their behavior during learning activities and improve their design. Our focus is to reveal which learning requirements the adaptive system is satisfying while still evolving and to…
Descriptors: Electronic Learning, Learning Activities, Instructional Design, Accuracy
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Banire, Bilikis; Jomhari, Nazean; Ahmad, Rodina – Journal of Autism and Developmental Disorders, 2015
The effect of education on children with autism serves as a relative cure for their deficits. As a result of this, they require special techniques to gain their attention and interest in learning as compared to typical children. Several studies have shown that these children are visual learners. In this study, we proposed a Visual Hybrid…
Descriptors: Autism, Children, Visual Learning, Instructional Design
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Latham, Annabel; Crockett, Keeley; McLean, David; Edmonds, Bruce – Computers & Education, 2012
This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student's learning style. Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and…
Descriptors: Cognitive Style, Teaching Methods, Cognitive Measurement, Prediction
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Chen, Chiu-Jung; Liu, Pei-Lin – Turkish Online Journal of Educational Technology - TOJET, 2012
The purpose of this study was to explore the effectiveness of using learner-generated and instructor-provided multimedia annotations on foreign language reading comprehension and attitudes. The four research questions are: (1) what are the effects of using different multimedia annotations on reading comprehension for learners of different…
Descriptors: Foreign Countries, Hypermedia, Cognitive Style, Reading Comprehension
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Cegielski, Casey G.; Hazen, Benjamin T.; Rainer, R. Kelly – Journal of Information Systems Education, 2011
The rich, interdisciplinary tradition of learning styles is markedly absent in information systems-related research. The current study applies the framework of learning styles to a common educational component of many of today's information systems curricula--object-oriented systems development--in an effort to answer the question as to whether…
Descriptors: Cognitive Style, Information Systems, Systems Development, Teaching Methods
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Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.; Kommers, Piet, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers of the International Conference e-Learning 2017, which was organised by the International Association for Development of the Information Society, 20-22 July, 2017. This conference is part of the Multi Conference on Computer Science and Information Systems 2017, 20-23 July, which had a total of 652 submissions.…
Descriptors: Electronic Learning, Online Courses, Teaching Methods, Information Literacy
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Tseng, J. C. R.; Chu, H. C.; Hwang, G. J.; Tsai, C. C. – Computers & Education, 2008
Previous research of adaptive learning mainly focused on improving student learning achievements based only on single-source of personalization information, such as learning style, cognitive style or learning achievement. In this paper, an innovative adaptive learning approach is proposed by basing upon two main sources of personalization…
Descriptors: Cognitive Style, Instructional Design, Computer Software, Individualized Instruction
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Solvie, Pamela; Sungur, Engin – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2012
This study, using mixed methods design research, examined the achievement of third level preservice teachers when advice in the form of text and resources was provided based on students' identified learning styles. In this study, Kolb's learning style inventory was used to identify students' preferred learning style preferences, and an online…
Descriptors: Preservice Teacher Education, Preservice Teachers, Cognitive Style, Learning Processes
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Othman, Mahfudzah; Othman, Muhaini – Turkish Online Journal of Distance Education, 2012
This paper discusses the proposed model of the collaborative virtual learning system for the introductory computer programming course which uses one of the collaborative learning techniques known as the "Think-Pair-Share". The main objective of this study is to design a model for an online learning system that facilitates the…
Descriptors: Foreign Countries, Electronic Learning, Cognitive Style, Computer Assisted Instruction
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Knauf, Rainer; Sakurai, Yoshitaka; Tsuruta, Setsuo; Jantke, Klaus P. – Journal of Educational Computing Research, 2010
University education often suffers from a lack of an explicit and adaptable didactic design. Students complain about the insufficient adaptability to the learners' needs. Learning content and services need to reach their audience according to their different prerequisites, needs, and different learning styles and conditions. A way to overcome such…
Descriptors: Prerequisites, College Instruction, Educational Experiments, Cognitive Style
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Hung, Yen-Chu – Journal of Educational Computing Research, 2012
The instructional value of web-based education systems has been an important area of research in information systems education. This study investigates the effect of various teaching methods on program design learning for students with specific learning styles in web-based education systems. The study takes first-year Computer Science and…
Descriptors: Foreign Countries, Control Groups, Experimental Groups, Programming
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Li, Frederick W. B.; Lau, Rynson W. H.; Dharmendran, Parthiban – International Journal of Distance Education Technologies, 2010
Existing adaptive e-learning methods are supported by student (user) profiling for capturing student characteristics, and course structuring for organizing learning materials according to topics and levels of difficulties. Adaptive courses are then generated by extracting materials from the course structure to match the criteria specified in the…
Descriptors: Electronic Learning, Programming, Profiles, Student Characteristics
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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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