Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 8 |
| Since 2007 (last 20 years) | 9 |
Descriptor
| Cognitive Style | 9 |
| Foreign Countries | 9 |
| Learning Analytics | 9 |
| Electronic Learning | 5 |
| College Students | 4 |
| Computer Interfaces | 3 |
| Individualized Instruction | 3 |
| Integrated Learning Systems | 3 |
| Behavior Patterns | 2 |
| Course Content | 2 |
| Design | 2 |
| More ▼ | |
Source
| Interactive Learning… | 2 |
| Online Submission | 2 |
| Educational Technology &… | 1 |
| IEEE Transactions on Learning… | 1 |
| International Educational… | 1 |
| Pakistan Journal of Distance… | 1 |
| Science Insights Education… | 1 |
Author
| Maaliw, Renato R., III | 2 |
| Bo Zhang | 1 |
| Chen, Sherry Y. | 1 |
| Chuang, Tsung-Yen | 1 |
| Fu, Xiao | 1 |
| Hu, Hong-Zhen | 1 |
| Konomi, Shin'ichi | 1 |
| Li, Xiaoyu | 1 |
| Liang He | 1 |
| Lin, Yu-Lun | 1 |
| Mouri, Kousuke | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 7 |
| Reports - Research | 6 |
| Reports - Evaluative | 2 |
| Dissertations/Theses -… | 1 |
| Speeches/Meeting Papers | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 6 |
| Postsecondary Education | 6 |
| Middle Schools | 2 |
| Secondary Education | 2 |
| Elementary Education | 1 |
| Grade 6 | 1 |
| High Schools | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
Audience
Location
| China | 2 |
| Philippines | 2 |
| Taiwan | 2 |
| China (Shanghai) | 1 |
| Japan | 1 |
| Pakistan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Qin Ni; Yifei Mi; Yonghe Wu; Liang He; Yuhui Xu; Bo Zhang – IEEE Transactions on Learning Technologies, 2024
Learning style recognition is an indispensable part of achieving personalized learning in online learning systems. The traditional inventory method for learning style identification faces the limitations such as subject and static characteristics. Therefore, an automatic and reliable learning style recognition mechanism is designed in this…
Descriptors: Cognitive Style, Electronic Learning, Prediction, Identification
Yang, Tzu-Chi; Chen, Sherry Y. – Interactive Learning Environments, 2023
Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…
Descriptors: Student Behavior, Educational Technology, Electronic Learning, Cognitive Style
Sun, Fu-Rong; Hu, Hong-Zhen; Wan, Rong-Gen; Fu, Xiao; Wu, Shu-Jing – Interactive Learning Environments, 2022
To determine the impact of cognitive style on change of concept of engagement in the flipped classroom, a sequential analysis from the perspective of Bloom's Taxonomy was conducted to establish if significant differences existed between the learning achievements and engagement of students with different cognitive styles. The participants were…
Descriptors: Learning Analytics, Preservice Teachers, Educational Change, Learner Engagement
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
Chuang, Tsung-Yen; Yeh, Martin K.-C.; Lin, Yu-Lun – Educational Technology & Society, 2021
Students with different cognitive styles benefit from different instructional strategies, including learning through playing video games. Although playing video games can be an effective learning method, we do not know its impact on the reasoning ability of students with different cognitive styles. The purposes of this study are to investigate…
Descriptors: Game Based Learning, Video Games, Computer Games, Puzzles
Maaliw, Renato R., III – Online Submission, 2020
Most virtual learning environment fails to recognize that students have different needs when it comes to learning. With the evolving characteristics and tendencies of students, these learning environments must provide adaptation and personalization features for adaptive learning materials, course content and navigational designs to support…
Descriptors: Virtual Classrooms, Electronic Learning, Integrated Learning Systems, Individualized Instruction
Shahzad, Muhammad; Nadeem, Muhammad Asif; U-Nisa, Zaib – Pakistan Journal of Distance and Online Learning, 2021
The study was conducted in three phases that is testing, using multimedia and observation of the controlled group. Major objective of the research were to assess the implications of software development design on learners and to identify effects of interactive multimedia environment on learning patterns of learners' at graduate level. The…
Descriptors: Educational Environment, Multimedia Instruction, Instructional Effectiveness, Hypermedia
Shimada, Atsushi; Mouri, Kousuke; Taniguchi, Yuta; Ogata, Hiroaki; Taniguchi, Rin-ichiro; Konomi, Shin'ichi – International Educational Data Mining Society, 2019
In this paper, we focus on optimizing the assignment of students to courses. The target courses are conducted by different teachers using the same syllabus, course design, and lecture materials. More than 1,300 students are mechanically assigned to one of ten courses taught by different teachers. Therefore, mismatches often occur between students'…
Descriptors: Student Placement, Learning Activities, Learning Analytics, Cognitive Style
Maaliw, Renato R., III – Online Submission, 2016
Virtual Learning Environment (VLE) such as Moodle, Blackboard, and WebCT are commonly and successfully used in E-education. While they focus on supporting educators in creating and holding online courses, they typically do not consider the individual differences of learners. However, learners have different needs and characteristics such as prior…
Descriptors: Virtual Classrooms, Electronic Learning, Integrated Learning Systems, Cognitive Style

Peer reviewed
Direct link
