Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 8 |
Since 2006 (last 20 years) | 14 |
Descriptor
Cognitive Style | 48 |
Computer Assisted Instruction | 48 |
Individualized Instruction | 48 |
Teaching Methods | 14 |
Instructional Design | 11 |
Educational Technology | 10 |
Foreign Countries | 9 |
Higher Education | 8 |
Academic Achievement | 7 |
Electronic Learning | 7 |
Instructional Effectiveness | 7 |
More ▼ |
Source
Author
Agapova, Olga I. | 1 |
Alshammari, Mohammad T. | 1 |
Bickel, Beverly | 1 |
Birenbaum, Menucha | 1 |
Bond, Francis | 1 |
Bruce, Kathy L. | 1 |
Campanizzi, J. A. | 1 |
Carrier, Carol | 1 |
Cavoura, Theodora | 1 |
Chadwick, Sandra S. | 1 |
Chu, H. C. | 1 |
More ▼ |
Publication Type
Education Level
Higher Education | 5 |
Postsecondary Education | 4 |
Secondary Education | 3 |
Elementary Secondary Education | 1 |
High Schools | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Audience
Researchers | 4 |
Practitioners | 3 |
Administrators | 1 |
Teachers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Learning Style Inventory | 2 |
Group Embedded Figures Test | 1 |
What Works Clearinghouse Rating
Sridharan, Shwetha; Saravanan, Deepti; Srinivasan, Akshaya Kesarimangalam; Murugan, Brindha – Education and Information Technologies, 2021
There exist numerous resources online to gain the desired level of knowledge on any topic. However, this complicates the process of selecting the most appropriate resources. Every learner differs in terms of their learning speed, proficiency, and preferred mode of learning. This paper develops an adaptive learning management system to tackle this…
Descriptors: Integrated Learning Systems, Computer Assisted Instruction, Individualized Instruction, Learning Analytics
Koc-Januchta, Marta M.; Höffler, Tim N.; Prechtl, Helmut; Leutner, Detlev – Educational Technology Research and Development, 2020
The aim of this study was to investigate the role of visual/verbal cognitive style and interactivity level in dynamic and non-dynamic multimedia learning environments. A group of 235 biology students learned about photosynthesis either from a computer-based animation or a series of static pictures with spoken explanatory text. Participants were…
Descriptors: Cognitive Style, Interaction, Visualization, Multimedia Instruction
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
Kolekar, Sucheta V.; Pai, Radhika M.; M. M., Manohara Pai – Education and Information Technologies, 2019
The term Adaptive E-learning System (AES) refers to the set of techniques and approaches that are combined together to offer online courses to the learners with the aim of providing customized resources and interfaces. Most of these systems focus on adaptive contents which are generated to the learners without considering the learning styles of…
Descriptors: Computer Interfaces, Computer Assisted Instruction, Electronic Learning, Online Courses
Zulfiani Zulfiani; Iwan Permana Suwarna; Sujiyo Miranto – Journal of Baltic Science Education, 2018
Students with their different learning styles also have their own different learning approaches, and teachers cannot simultaneously facilitate them all. Teachers' limitation in serving all students' learning styles can be anticipated by the use of computer-based instructions. This research aims to develop ScEd-Adaptive Learning System (ScEd-ASL)…
Descriptors: Science Instruction, Cognitive Style, Intelligent Tutoring Systems, Teaching Methods
Mudrák, Marián – ICTE Journal, 2018
The paper deals with the issue of e-courses personalization in selected LMS. Even though this topic has been the subject of research for a longer time, more effective concepts of learning through e-courses are still being sought. Part of the contribution is a brief explanation of the terms personalization and adaptivity, which are often mistaken…
Descriptors: Individualized Instruction, Online Courses, Electronic Learning, Curriculum Implementation
Huang, Min; Bond, Francis – Asian-Pacific Journal of Second and Foreign Language Education, 2016
In this paper, Chinese curricula in the contexts of China and Singapore on primary level are compared and contrasted by both quantitative (Word Segmenter and Text Analyzer) and qualitative methods (in-depth thematic analysis). The research shows challenges for educational administrators, teachers and other professional staff in Chinese education…
Descriptors: Foreign Countries, Comparative Education, National Curriculum, Information Technology
Di Bitonto, Pierpaolo – International Journal of Distance Education Technologies, 2010
The success of communities generally implies both growth of the participants (and thus of their contributions), and an increasing array of services offered. For this reason, it is often difficult for new users to fully understand the potential of the community, while for expert users it becomes difficult both to manage the resources available in…
Descriptors: Individualized Instruction, Knowledge Management, Cognitive Style, Computer Assisted Instruction
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
Springer, C. R.; Pear, J. J. – Computers & Education, 2008
Archived data from four courses taught with computer-aided personalized system of instruction (CAPSI)--an online, self-paced, instructional program--were used to explore the relationship between objectively rescored final exam grades, peer reviewing, and progress rate--i.e., the rate at which students completed unit tests. There was a strong…
Descriptors: Academic Achievement, Program Effectiveness, Correlation, Computer Assisted Instruction
Silva, Anderson, Ed.; Pontes, Elvis, Ed.; Guelfi, Adilson, Ed.; Kofuji, Sergio Takeo, Ed. – InTech, 2012
Chapters in this book include: (1) Courseware Adaptation to Learning Styles and Knowledge Level (Boyan Bontchev and Dessislava Vassileva); (2) Assisted On-Job Training (Claudio Teixeira and Joaquim Sousa Pinto); (3) Self-Directed Learning Readiness Factors in Physicians for Implementing E-Learning in the Continuing Medical Education Programs…
Descriptors: Knowledge Level, Computer Assisted Instruction, Job Training, Teaching Methods
Kyprianidou, Maria; Demetriadis, Stavros; Pombortsis, Andreas; Karatasios, George – Multicultural Education & Technology Journal, 2009
Purpose: The purpose of this paper is to present the design and first results of the integration of a web-based system person-centred group-activity support system (PEGASUS) in university instruction, as a means for advancing person-centred learning by supporting group activity. The PEGASUS is expected to help students and teachers in two distinct…
Descriptors: Cognitive Style, Group Activities, Metacognition, Internet
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
Cosky, Michael J. – 1980
Cognitive style is a potentially rich, but typically overlooked, source of individualization in computer based instruction (CBI). Using information about learners' cognitive styles in the design, development, and evaluation phases of CBI production can maximize individualization. In the design phase, for example, learners' cognitive styles can be…
Descriptors: Cognitive Style, Computer Assisted Instruction, Evaluation, Individualized Instruction