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Showing 1 to 15 of 20 results Save | Export
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Rani Van Schoors; Sohum M. Bhatt; Jan Elen; Annelies Raes; Wim Van den Noortgate; Fien Depaepe – International Journal of Designs for Learning, 2024
Due to swift technological changes in society, programming tasks are proliferating in formal and informal education around the globe. However, challenges arise regarding the acquisition of programming skills. Many students are unequipped to develop programming skills due to limited instruction or background and therefore feel insecure when…
Descriptors: Secondary School Students, Grade 1, Individualized Instruction, Electronic Learning
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Sonia Triana-Vera; Omar López-Vargas – Contemporary Educational Technology, 2025
This research aimed to determine the effects of motivational scaffolding and adaptive scaffolding on academic and online self-efficacy in learners interacting with a multimedia learning environment within the field of technology. The study involved 146 students from four tenth-grade classes at a public institution in the municipality of Soacha…
Descriptors: Self Efficacy, Electronic Learning, Scaffolding (Teaching Technique), High School Students
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Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
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Lin, Che-Chern; Liu, Zi-Cheng; Chang, Chih-Lin; Lin, Yu-Wen – IEEE Transactions on Education, 2019
Contribution: An online genetic algorithm-based remedial learning system is presented in order to strengthen students' understanding of object-oriented programming (OOP) concepts by tailoring personalized learning materials according to each student's strengths and weaknesses. Background: Prior studies on computer programming education have…
Descriptors: Individualized Instruction, Remedial Instruction, Computer Science Education, Programming Languages
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Wang, Lisa; Sy, Angela; Liu, Larry; Piech, Chris – International Educational Data Mining Society, 2017
Modeling student knowledge while students are acquiring new concepts is a crucial stepping stone towards providing personalized automated feedback at scale. We believe that rich information about a student's learning is captured within her responses to open-ended problems with unbounded solution spaces, such as programming exercises. In addition,…
Descriptors: Online Courses, Knowledge Level, Pedagogical Content Knowledge, Scaffolding (Teaching Technique)
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O'Donnell, Eileen; Lawless, Séamus; Sharp, Mary; Wade, Vincent P. – International Journal of Distance Education Technologies, 2015
The realisation of personalised e-learning to suit an individual learner's diverse learning needs is a concept which has been explored for decades, at great expense, but is still not achievable by non-technical authors. This research reviews the area of personalised e-learning and notes some of the technological challenges which developers may…
Descriptors: Electronic Learning, Individualized Instruction, Programming, Authors
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Capacho, Jose – Turkish Online Journal of Distance Education, 2016
The main objective of this paper is to show a set of new methodologies applied in the teaching of Computer Science using ICT. The methodologies are framed in the conceptual basis of the following sciences: Psychology, Education and Computer Science. The theoretical framework of the research is supported by Behavioral Theory, Gestalt Theory.…
Descriptors: Teaching Methods, Information Technology, Computer Science Education, Games
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Hsieh, Tung-Cheng; Lee, Ming-Che; Su, Chien-Yuan – Educational Technology & Society, 2013
In recent years, the demand for computer programming professionals has increased rapidly. These computer engineers not only play a key role in the national development of the computing and software industries, they also have a significant influence on the broader national knowledge industry. Therefore, one of the objectives of information…
Descriptors: Foreign Countries, Computer Science Education, Individualized Instruction, Remedial Instruction
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Hsiao, I.-H.; Sosnovsky, S.; Brusilovsky, P. – Journal of Computer Assisted Learning, 2010
Rapid growth of the volume of interactive questions available to the students of modern E-Learning courses placed the problem of personalized guidance on the agenda of E-Learning researchers. Without proper guidance, students frequently select too simple or too complicated problems and ended either bored or discouraged. This paper explores a…
Descriptors: Electronic Learning, Guidance, Individualized Instruction, Computer Software
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Wang, Ya-huei; Liao, Hung-Chang – British Journal of Educational Technology, 2011
In the conventional English as a Second Language (ESL) class-based learning environment, teachers use a fixed learning sequence and content for all students without considering the diverse needs of each individual. There is a great deal of diversity within and between classes. Hence, if students' learning outcomes are to be maximised, it is…
Descriptors: Cognitive Style, Learning Motivation, Learning Processes, Individualized Instruction
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Wong, Lung-Hsiang; Looi, Chee-Kit – Interactive Learning Environments, 2012
The notion of a system adapting itself to provide support for learning has always been an important issue of research for technology-enabled learning. One approach to provide adaptivity is to use social navigation approaches and techniques which involve analysing data of what was previously selected by a cluster of users or what worked for…
Descriptors: Electronic Learning, Entomology, Educational Technology, Individualized Instruction
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Reiners, Torsten; Dreher, Heinz – Journal of Information Technology Education, 2009
In modern learning environments, the lecturer or educational designer is often confronted with multi-national student cohorts, requiring special consideration regarding language, cultural norms and taboos, religion, and ethics. Through a somewhat provocative example we demonstrate that taking such factors into account can be essential to avoid…
Descriptors: Student Diversity, Culturally Relevant Education, Profiles, Cultural Differences
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Liao, Ching-Jung; Chou, Chien-Chih; Yang, Jin-Tan David – International Journal of Distance Education Technologies, 2009
The purpose of this study is to incorporate adaptive ontology into ubiquitous learning grid to achieve seamless learning environment. Ubiquitous learning grid uses ubiquitous computing environment to infer and determine the most adaptive learning contents and procedures in anytime, any place and with any device. To achieve the goal, an…
Descriptors: Individualized Instruction, Simulation, Educational Environment, College Freshmen
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Tseng, Shian-Shyong; Su, Jun-Ming; Hwang, Gwo-Jen; Hwang, Gwo-Haur; Tsai, Chin-Chung; Tsai, Chang-Jiun – Educational Technology & Society, 2008
The popularity of web-based learning systems has encouraged researchers to pay attention to several new issues. One of the most important issues is the development of new techniques to provide personalized teaching materials. Although several frameworks or methods have been proposed, it remains a challenging issue to design an easy-to-realize…
Descriptors: Computer Assisted Instruction, Educational Technology, Individualized Instruction, Intelligent Tutoring Systems
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Papasalouros, Andreas; Retalis, Symeon; Papaspyrou, Nikolaos – Educational Technology & Society, 2004
The role of conceptual modeling in Educational Adaptive Hypermedia Applications (EAHA) is especially important. A conceptual model of an educational application depicts the instructional solution that is implemented, containing information about concepts that must be ac-quired by learners, tasks in which learners must be involved and resources…
Descriptors: Intelligent Tutoring Systems, Models, Individualized Instruction, Educational Technology
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