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Meina Zhu – Journal of Computer Assisted Learning, 2025
Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…
Descriptors: Computer Science Education, Programming, Social Media, Video Technology
Mehmet Firat; Saniye Kuleli – Journal of Educational Technology and Online Learning, 2024
This research investigates the comparative effectiveness of the ChatGPT and the Google search engine in facilitating the self-learning of JavaScript functions among undergraduate open and distance learning students. The study employed a quasi-experimental post-test control group design to analyze the variables of disorientation, satisfaction,…
Descriptors: Comparative Analysis, Web Sites, Computer Software, Artificial Intelligence
Kuo, Yu-Chen; Chen, Yun-An – Education and Information Technologies, 2023
With the development of science and technology, the demand for programmers has increased. However, learning computer programs is not an easy task. It might cause a significant impact on programming if misconceptions exist at the beginning of the study. Hence, it is important to discover and correct them immediately. Chatbots are effective teaching…
Descriptors: Programming, Artificial Intelligence, Computer Science Education, Misconceptions
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
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
Chen, Ling-Hsiu – Computers & Education, 2011
Although conventional student assessments are extremely convenient for calculating student scores, they do not conceptualize how students organize their knowledge. Therefore, teachers and students rarely understand how to improve their future learning progress. The limitations of conventional testing methods indicate the importance of accurately…
Descriptors: Foreign Countries, Educational Technology, Cognitive Style, Self Efficacy
Kert, Serhat Bahadir; Kurt, Adile Askim – Interactive Learning Environments, 2012
Electronic performance support systems (EPSSs) are the software programs commonly used in commercial environments since the early 1990s. These software programs are generally called performance-based systems and focus on the complete job rather than providing individual development. For that reason, the usage of these systems in learning…
Descriptors: Foreign Countries, Web Based Instruction, Program Effectiveness, Learning Strategies
Ivanova, Malinka; Chatti, Mohamed Amine – Journal of Educational Technology Systems, 2011
The development of Personal Learning Environments (PLEs) is in the scope of research groups and educators aiming to propose suitable mechanisms for the organization of self-controlled and self-directed learning, providing students with tools and services for access to content and human intelligence inside and outside the educational institutions.…
Descriptors: Foreign Countries, Learner Controlled Instruction, Individualized Instruction, College Students
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
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
Godwin-Jones, Robert – Language Learning & Technology, 2007
Ever since the PLATO system of the 1960's, CALL (computer assisted language learning) has had a major focus on providing self-paced, auto-correcting exercises for language learners to practice their skills and improve their knowledge of discrete areas of language learning. The computer has been recognized from the beginning as a patient and…
Descriptors: Individualized Instruction, Pacing, Computer Assisted Instruction, Intelligent Tutoring Systems
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
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
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
Suen, Che-yin; Pok, Yang-ming – 1999
Four years ago, the authors started to develop a self-paced mathematics learning software called NPMaths by using an authoring package called Tencore. However, NPMaths had some weak points. A development team was hence formed to develop similar software called Mathematics On Line. This time the team used another development language called…
Descriptors: Computer Software, Computer Uses in Education, Elementary Secondary Education, Individualized Instruction
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