Publication Date
| In 2026 | 0 |
| Since 2025 | 12 |
| Since 2022 (last 5 years) | 52 |
| Since 2017 (last 10 years) | 118 |
Descriptor
Source
Author
| Baker, Marshall A. | 2 |
| Chin-Feng Lai | 2 |
| Colquitt, Gavin | 2 |
| Hua-Xu Zhong | 2 |
| Johnson, Christine | 2 |
| Jui-Hung Chang | 2 |
| Pracana, Clara, Ed. | 2 |
| Pritchard, Tony | 2 |
| Robinson, J. Shane | 2 |
| Wang, Michael, Ed. | 2 |
| Ababneh, Sana' | 1 |
| More ▼ | |
Publication Type
Education Level
Location
| Turkey | 10 |
| Indonesia | 8 |
| China | 4 |
| Iran | 4 |
| Taiwan | 4 |
| Japan | 3 |
| Jordan | 3 |
| Portugal | 3 |
| United States | 3 |
| Albania | 2 |
| Australia | 2 |
| More ▼ | |
Laws, Policies, & Programs
| Individuals with Disabilities… | 1 |
| No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Huiting Liu; Xiyuan Zhang; Jiangping Zhou; Yuancong Shou; Yang Yin; Chunlei Chai – International Journal of Technology and Design Education, 2025
Students exhibit diverse cognitive styles, necessitating tailored educational approaches. However, the integration of Generative AI (GenAI) tools into design education presents challenges in accommodating the diverse cognitive styles of Industrial Design (ID) students. This study aims to identify students' cognitive styles in a GenAI environment,…
Descriptors: Cognitive Style, Design, Artificial Intelligence, Technology Uses in Education
Hani Y. Ayyoub; Omar S. Al-Kadi – IEEE Transactions on Learning Technologies, 2024
Education is a dynamic field that must be adaptable to sudden changes and disruptions caused by events like pandemics, war, and natural disasters related to climate change. When these events occur, traditional classrooms with traditional or blended delivery can shift to fully online learning, which requires an efficient learning environment that…
Descriptors: Cognitive Style, Individualized Instruction, Learning Management Systems, Artificial Intelligence
Thomas Fallace – University of Chicago Press, 2025
The widely embraced notion that we all process information in one of three distinct modes--visual, auditory, or kinesthetic--has informed educational practices for decades. In recent years, however, numerous studies have questioned the effectiveness of aligning instruction with the alleged learning styles of individual students. So, why is it…
Descriptors: Cognitive Style, Educational History, Equal Education, Labeling (of Persons)
Birney, Damian P.; Beckmann, Jens F. – Journal of Intelligence, 2022
Despite substantial evidence for the link between an individual's intelligence and successful life outcomes, questions about what defines intelligence have remained the focus of heated dispute. The most common approach to understanding intelligence has been to investigate what performance on tests of intellect is and is not associated with. This…
Descriptors: Intelligence, Cognitive Processes, Cognitive Style, Psychometrics
Ulrike Cress; Joachim Kimmerle – International Journal of Computer-Supported Collaborative Learning, 2023
Generative Artificial Intelligence (AI) tools, such as ChatGPT, have received great attention from researchers, the media, and the public. They are gladly and frequently used for text production by many people. These tools have undeniable strengths but also weaknesses that must be addressed. In this squib we ask to what extent these tools can be…
Descriptors: Artificial Intelligence, Cognitive Style, Computer Assisted Instruction, Learning Strategies
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
Hua-Xu Zhong; Jui-Hung Chang; Chin-Feng Lai; Pei-Wen Chen; Shang-Hsuan Ku; Shih-Yeh Chen – Education and Information Technologies, 2024
Artificial intelligence (AI) education is becoming an advanced learning trend in programming education. However, AI subjects can be difficult to understand because they require high programming skills and complex knowledge. This makes it challenging to determine how different departments of students are affected by them. This study draws on…
Descriptors: Undergraduate Students, Artificial Intelligence, Programming, STEM Education
Jun Xiao; Yule Yang; Min Li – Education and Information Technologies, 2025
Artificial intelligence (AI) education empowers teachers to enhance the educational process. Although conventional face-to-face or fully online training methods each have their strengths, they do not fully address challenges such as the rapid pace of AI advancements, differences in teachers' ability to grasp AI knowledge, and the need for flexible…
Descriptors: Blended Learning, Teacher Education, Digital Literacy, Skill Development
Clarivando Francisco Belizário Júnior; Fabiano Azevedo Dorça; Luciana Pereira de Assis; Alessandro Vivas Andrade – International Journal of Learning Technology, 2024
Loop-based intelligent tutoring systems (ITSs) support the learning process using a step-by-step problem-solving approach. A limitation of ITSs is that few contents are compatible with this approach. On the other hand, recommendation systems can recommend different types of content but ignore the fine-grained concepts typical of the step-by-step…
Descriptors: Artificial Intelligence, Educational Technology, Individualized Instruction, Cognitive Style
Troussas, Christos; Giannakas, Filippos; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Interactive Learning Environments, 2023
Computer-Supported Collaborative Learning is a promising innovation that ameliorates tutoring through modern technologies. However, the way of recommending collaborative activities to learners, by taking into account their learning needs and preferences, is an important issue of increasing interest. In this context, this paper presents a framework…
Descriptors: Computer Assisted Instruction, Cognitive Style, Cooperative Learning, Models
Taheri, Hamideh; Sadighi, Firooz; Bagheri, Mohammad Sadegh; Bavali, Mohammad – Cogent Education, 2019
The purpose of this study is threefold: firstly, to explore the relationship between EFL learners' cognitive intelligence, emotional intelligence, and language learning achievement, secondly, to find out the relationship between EFL learners' language learning styles and strategies and their L2 achievement, and thirdly, to uncover the relationship…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Intelligence
Dewi Komalasari; Wahyu Sukartiningsih; H. Hendratno; S. Suryanti; Agus Satmoko Adi – International Journal of Language Education, 2025
This research aims to develop video learning to recognize vowel letters through sign language with an approach that is suitable for children with kinesthetic learning styles, who often experience difficulties in the traditional learning process. This research draws on multiple learning intelligences, particularly kinesthetic intelligence, which…
Descriptors: Phonics, Teaching Methods, Video Technology, Vowels
Muhammad Zahrudin Afnan; Rinie Pratiwi Puspitawati; I. Isnawati – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2025
Traditional approaches to intelligence often neglect the diverse cognitive profiles of learners, potentially limiting the inclusivity and effectiveness of educational practices. This review article examines the application of Howard Gardner's Theory of Multiple Intelligences (MI) within the context of biology education, with a particular focus on…
Descriptors: Multiple Intelligences, Learning Processes, Biology, Science Instruction
Oliwa, Robert – Journal of Interactive Learning Research, 2022
The study examined the relationship between student satisfaction with online learning and the intelligence types postulated by Howard Gardner in the multiple intelligences theory. Student satisfaction, being a multifaceted construct, is contingent on an array of factors in an educational setting. Additionally, the introduction of an online…
Descriptors: Student Satisfaction, Multiple Intelligences, Online Courses, Electronic Learning
Shiv K. Tripathi; Wolfgang C. Amann; Agat Stachowicz-Stanusch – International Society for Technology, Education, and Science, 2023
The effective anti-corruption education requires careful understanding of the teaching-learning context. At the different stages of the designing an anti-corruption focuses course, we need to consider factors related to target learning group as well as the respective context in which they are. Learning style versatility is an important factor that…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Computer Oriented Programs

Peer reviewed
Direct link
