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Seongyune Choi; Hyeoncheol Kim – Education and Information Technologies, 2025
Attention to programming education from K-12 to higher education has been growing with the aim of fostering students' programming ability. This ability involves employing appropriate algorithms and computer codes to solve problems and can be enhanced through practical learning. However, in a formal educational setting, it is challenging to provide…
Descriptors: Foreign Countries, High School Freshmen, Programming, Artificial Intelligence
Jiyamole Jose; Binu Pathippallil Mathew – Journal of Education and Learning (EduLearn), 2025
There have been many studies about the effectiveness of differentiated instruction in promoting student-centered learning. However, most of these studies have focused on primary and secondary education. There is hardly any research about its application and effectiveness in higher education settings. Furthermore, there is a need to identify the…
Descriptors: Information Technology, Student Attitudes, Individualized Instruction, Cognitive Style
Wang, Sufen; Du, Ming; Yu, Rong; Wang, Zhijun; Sun, Jingjing; Wang, Ling – Interactive Learning Environments, 2023
It has been controversial whether the matching of learning styles with teaching environment has improved the teaching effects. This paper constructs matching modes by choosing Sternberg's three learning styles (liberal leaning, internal scope and global level) and adopts curriculum comprehensiveness and instructing modes. The research, based on…
Descriptors: Foreign Countries, Cognitive Style, Cognitive Processes, Information Processing
Lertnattee, Verayuth; Wangwattana, Bunyapa – Interactive Learning Environments, 2021
In the academic year of 2019, the designed personalized learning and assessment was applied to the fourth-year pharmacy students who registered for the Pharmacognosy Laboratory in the Faculty of Pharmacy, Silpakorn University. We allowed all students to do the experiment as they preferred. We created a personalized assessment that allowed the…
Descriptors: Individualized Instruction, Pharmaceutical Education, Laboratory Equipment, Identification
Ricardo-Adán Salas-Rueda – Journal of Learning for Development, 2024
Currently, educators seek to offer personalised contents to facilitate autonomy during the educational process. The aim of this mixed study (quantitative and qualitative approach) was to build and analyse the effectiveness of the Adaptive Educational application on electronics topics (AEET) considering Data Science (machine learning algorithm on…
Descriptors: Individualized Instruction, Technology Uses in Education, Student Motivation, Student Satisfaction
Troussas, Christos; Chrysafiadi, Konstantina; Virvou, Maria – Education and Information Technologies, 2021
Personalized computer-based tutoring demands learning systems and applications that identify and keep personal characteristics and features for each individual learner. This is achieved by the technology of student modeling. One prevalent technique of student modeling is stereotypes. Furthermore, individuals differ in how they learn. So, the way…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style, Stereotypes
Demir, Serkan – Shanlax International Journal of Education, 2021
This study, it was aimed to determine the motivation of students to learn science according to learning styles and the effect of differentiated teaching practices on their opinions. A mixed research design consisting of a preliminary pre test-post test model with a control group and a qualitative data combination was used. The survey was conducted…
Descriptors: Foreign Countries, Elementary School Students, Grade 4, Student Motivation
Elyas, Tariq; AlHashmi, Bayan; Fang, Fan – TEFLIN Journal: A publication on the teaching and learning of English, 2020
With a theory-driven interest in the factors that make some language learners more successful than others, this study attempts to measure the cognitive diversity level of EFL learners at a Saudi university. To achieve this purpose, the Ehrman and Leaver's questionnaire of learners' cognitive profiles (Ehrman & Leaver, 2003) was adapted,…
Descriptors: Cognitive Processes, Diversity, English (Second Language), Second Language Instruction
Malacapay, Marjon C. – International Journal of Instruction, 2019
Differentiating of instruction is salient as learners absorb information at their own styles. Differentiating of instruction is salient as learners absorb information at their own styles. Thus, determining their preferred mode of instruction as to their learning style is important. In attaining this, the researcher first determined the…
Descriptors: Individualized Instruction, Correlation, Cognitive Style, Teaching Methods
Li, Xiaoyu; Xia, Jianping – Science Insights Education Frontiers, 2020
The rise of big data technology provides direction and support for the reform and development of education. Big data technology can realize the inventory management and effective dynamic monitoring of schools, students, and teachers. It is conducive to comprehensively and accurately controlling the development of teaching activities, injecting new…
Descriptors: Foreign Countries, Middle School Students, Data Analysis, Data Collection
Synekop, Oksana – Advanced Education, 2020
This study aims to investigate the issue of regulation aspect of learner's language learning style in differentiated instruction of English for Specific Purposes (ESP) at technical universities. In particular, we defined and characterised the self-regulation levels of information technology (IT) students; outlined recommendations for improvement…
Descriptors: Second Language Learning, English (Second Language), English for Special Purposes, Cognitive Style
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
Jafari, Seyed Mohammadbagher; Abdollahzade, Zahra – Education and Information Technologies, 2019
The game-based learning, which uses computer games to improve performance and learning, is a new field which can be used as a powerful educational tool. To increase the effectiveness of educational games, new games fit the learning styles of each individual can be made to have a customized learning environment. Currently, playing computer games…
Descriptors: Cognitive Style, Game Based Learning, Computer Games, Foreign Countries
Alshammari, Mohammad T.; Qtaish, Amjad – Journal of Information Technology Education: Research, 2019
Aim/Purpose: Effective e-learning systems need to incorporate student characteristics such as learning style and knowledge level in order to provide a more personalized and adaptive learning experience. However, there is a need to investigate how and when to provide adaptivity based on student characteristics, and more importantly, to evaluate its…
Descriptors: Electronic Learning, Cognitive Style, Knowledge Level, Individualized Instruction
Hariyanto, Didik; Triyono, Moch. Bruri; Köhler, Thomas – Knowledge Management & E-Learning, 2020
One of the advanced technologies in e-learning deals with the systems' ability to fit the students' preferences. It emerged based upon the common conception that every person has different learning style. However, despite the many options of learning style models toward using personalized elearning, there are considerable challenges to assess the…
Descriptors: Usability, Electronic Learning, Individualized Instruction, Computer Assisted Instruction

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