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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
Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
Joy, Jeevamol; Renumol, V. G. – International Journal of Learning Technology, 2021
In the e-learning domain, content recommender systems had evolved to recommend relevant learning contents based on the learner preferences. One of the significant drawbacks of content recommenders in the e-learning domain is the new user cold-start problem. The objective of this study is to propose a recommendation model for addressing the…
Descriptors: Cognitive Style, Electronic Learning, Metadata, Integrated Learning Systems
Kunt, Aygül; Kesan, Cenk – Online Submission, 2020
Although the general purpose in this research is to use the artificial neural network model in mathematics education, the main purpose is to show the relationship between students' tendency towards the types of mathematical proof and the learning styles they have by using the artificial neural network model. In addition, SOM-Ward clustering…
Descriptors: Foreign Countries, Middle School Students, Grade 8, Mathematics Skills
Yerizon; Putra, Atus Amadi; Subhan, Muhammad – International Electronic Journal of Mathematics Education, 2018
The mathematical ability of Indonesian students is still very low compared to other countries. One alternative to overcome the problem is by creating learning instructional that allows students to learn well. Most of learning instructional developed today do not accommodate the student learning styles especially in schools that have classified…
Descriptors: Foreign Countries, Junior High School Students, Middle School Mathematics, Mathematics Instruction
Aksoy, Esra; Narli, Serkan; Aksoy, Mehmet Akif – International Journal of Research in Education and Science, 2018
In the identification process, there may be gifted students who may be unnoticed or students who are misdiagnosed and are disappointed. In this context, this study is a step that may solve these two problems about the identification of mathematically gifted students with the help of data mining, which is data analysis methodology that has been…
Descriptors: Academically Gifted, Talent Identification, Data Collection, Mathematics Instruction
Salmani Nodoushan, Mohammad Ali – Journal on Educational Psychology, 2014
Societies have striven through centuries to develop educational systems that would foster the most idealistic educational outcomes among learners. A brief overview of the existing body of knowledge on this issue shows the recurring patterns of underachievement and the growing rates of student drop-outs which have motivated psychologists and…
Descriptors: Cognitive Style, Models, Taxonomy, Experiential Learning
Salmani Nodoushan, Mohammad Ali – Online Submission, 2014
Societies have striven through centuries to develop educational systems that would foster the most idealistic educational outcomes among learners. A brief overview of the existing body of knowledge on this issue shows the recurring patterns of underachievement and the growing rates of student drop-outs which have motivated psychologists and…
Descriptors: Cognitive Style, Models, Taxonomy, Experiential Learning
Almuhammadi, Anas – English Language Teaching, 2017
This paper explores the professional development literature in the educational setting. The different literature pieces are aligned to a framework that requires effective professional development to focus on three concepts: content, context, and process. The content focuses on the "what" question in the programs while the context aims to…
Descriptors: Literature Reviews, Models, Faculty Development, Program Content
Alahdadi, Shadi; Ghanizadeh, Afsaneh – Iranian Journal of Language Teaching Research, 2017
A key objective of education is to prepare individuals to be fully-functioning learners. This entails developing the cognitive, metacognitive, motivational, cultural, and emotional competencies. The present study aimed to examine the interrelationships among adaptability, tolerance of ambiguity, cultural intelligence, learning approach, and…
Descriptors: Cultural Awareness, Cognitive Style, Translation, Language Teachers
Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides
Kuhn, Matthew S. – Learning & Leading with Technology, 2008
Tremendous growth in educational technology tools, applications, and Web 2.0 resources have created a plethora of new methods to meet the learning needs of all students. Unfortunately, the potential of these methods is hardly understood before a new technological breakthrough makes its way into the classroom, through either teachers or, more…
Descriptors: Multiple Intelligences, Cognitive Style, Educational Technology, Teaching Methods
Knauf, Rainer; Sakurai, Yoshitaka; Tsuruta, Setsuo; Jantke, Klaus P. – Journal of Educational Computing Research, 2010
University education often suffers from a lack of an explicit and adaptable didactic design. Students complain about the insufficient adaptability to the learners' needs. Learning content and services need to reach their audience according to their different prerequisites, needs, and different learning styles and conditions. A way to overcome such…
Descriptors: Prerequisites, College Instruction, Educational Experiments, Cognitive Style
Peer reviewedMorgan, Harry – Roeper Review, 1996
Howard Gardner's hypothesis of seven distinct types of intelligence is explained and each of the theorized intelligences is related to the theory of cognitive style. The article concludes that multiple intelligence theory is not about new "intelligences," but rather, a reframing of what others have defined as cognitive styles. (DB)
Descriptors: Cognitive Psychology, Cognitive Style, Individual Differences, Intelligence

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