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Huijuan Fu; Yangcai Xiao; Isaac Kofi Mensah; Rui Wang – Education and Information Technologies, 2024
The nation's explosive growth in Massive Open Online Courses (MOOCs) is likely to lead to low effectiveness of MOOCs, therefore, it is necessary to promote the high-quality and long-term development of MOOCs through understanding learner satisfaction. The present research adopted the Latent Dirichlet Allocation (LDA) to derive factors affecting…
Descriptors: Student Satisfaction, MOOCs, Computer Science Education, Curriculum Design
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Hoa-Huy Nguyen; Kien Do Trung; Loc Nguyen Duc; Long Dang Hoang; Phong Tran Ba; Viet Anh Nguyen – Education and Information Technologies, 2024
This article presents the results of an experiment in personalizing course content and learning activity model tailored for online courses based on students' learning styles. The main research objectives are to design and pilot a model to determine students' learning styles to create personalized online courses. The study also addressed an…
Descriptors: Models, Online Courses, Cognitive Style, Classification
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Humble, Niklas – Education and Information Technologies, 2023
Due to increased need of professionals on the future labour market with competence in programming, many countries have integrated programming in kindergarten to grade 12 (K-12) education. In 2017, programming was integrated in Swedish primary and secondary school curriculum and the courses of Mathematics and Technology. Research has highlighted…
Descriptors: Secondary School Students, Mathematics Instruction, Programming, Teaching Methods
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Khan, Mohd Javed; Mustafa, Khurram – Education and Information Technologies, 2019
AHIS equation describes a new model for instructional system design and develops a system based on Merrill's Component Display Theory incorporating appropriate selection of Media, Ergonomics and Navigation Structures to produce learner engaging and effective learning outcome. A significant component of the proposed model is the integration of…
Descriptors: Hypermedia, Instructional Systems, Models, Human Factors Engineering
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Eldenfria, Atef; Al-Samarraie, Hosam – Education and Information Technologies, 2019
The differences in learning preferences can be attributed to the differences in individuals' cognitive capacities which may lead them to undertake a certain behavior. It is argued that characterizing the learning complexity based on the volume of information presented to learners can eliminate any avoidable load on working memory. This study…
Descriptors: Diagnostic Tests, Short Term Memory, Cognitive Style, Cognitive Ability
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Engelbertink, Monique M. J.; Kelders, Saskia M.; Woudt-Mittendorff, Kariene M.; Westerhof, Gerben J. – Education and Information Technologies, 2020
Whereas blended learning can deliver several benefits to students in higher education, their achievement depends on how exactly it is designed. A participatory design is recommendable to try to meet the needs of all stakeholders. The Persuasive System Design-model can be used to motivate students during the online part of the course. In the design…
Descriptors: Blended Learning, Educational Benefits, Higher Education, Participatory Research
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Shankararaman, Venky; Ducrot, Joelle – Education and Information Technologies, 2016
A number of engineering education programs have defined learning outcomes and course-level competencies, and conducted assessments at the program level to determine areas for continuous improvement. However, many of these programs have not implemented a comprehensive competency framework to support the actual delivery and assessment of an…
Descriptors: Instructional Improvement, Program Implementation, Models, Competence