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Hoa-Huy Nguyen; Kien Do Trung; Loc Nguyen Duc; Long Dang Hoang; Phong Tran Ba; Viet Anh Nguyen – Education and Information Technologies, 2024
This article presents the results of an experiment in personalizing course content and learning activity model tailored for online courses based on students' learning styles. The main research objectives are to design and pilot a model to determine students' learning styles to create personalized online courses. The study also addressed an…
Descriptors: Models, Online Courses, Cognitive Style, Classification
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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
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Joseph, Lumy; Abraham, Sajimon; Mani, Biju P.; N., Rajesh – Journal of Educational Computing Research, 2022
A fixed learning path for all learners is a major drawback of virtual learning systems. An online learning path recommendation system has the advantage of offering flexibility to select appropriate learning content. Learning Analytics Intervention (LAI) provides several educational benefits, particularly for low-performing students. Researchers…
Descriptors: Cognitive Style, Learning Analytics, Educational Benefits, Integrated Learning Systems
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Assis, Luciana; Rodrigues, Ana Carolina; Vivas, Alessandro; Pitangui, Cristiano Grijó; Silva, Cristiano Maciel; Dorça, Fabiano Azevedo – International Journal of Distance Education Technologies, 2022
The automation of learning object recommendation and learning styles detection processes has attracted the interest of many researchers. Some works consider learning styles to recommend learning objects. On the other hand, other works automatically detect learning styles, analyzing the behavior of students in intelligent tutorial systems in…
Descriptors: Research Reports, Instructional Materials, Correlation, Cognitive Style
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Linling Zhong – Cogent Education, 2024
Self-regulated learning and EFL speaking competence are seen as crucial abilities for students to acquire in the twenty-first century. However, EFL students' performance in self-regulated learning and speaking has not been optimal. Therefore, the implementation of flipped classrooms aims to achieve a breakthrough in self-regulated learning and EFL…
Descriptors: Flipped Classroom, Independent Study, English (Second Language), Second Language Instruction
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Rich, Bruce Louis – International Journal of Inclusive Education, 2023
This study investigates the treatment of culturally inclusive teaching practices in schools of business. A content and quantitative analysis were performed on 392-course syllabi selected from management departments in the United States, representing 131 AACSB-accredited schools of business. Syllabi were coded for content, pedagogy, accommodation…
Descriptors: Culturally Relevant Education, Inclusion, Educational Practices, Business Schools
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Doyle, Elaine; Buckley, Patrick; McCarthy, Brendan – Assessment & Evaluation in Higher Education, 2021
The literature acknowledges that deeper comprehension of content can be realised when students actively create their own learning materials. However, studies measuring the impact of students co-creating content on their academic performance are limited. Furthermore, there is a significant lacuna in our knowledge about the impact of learning styles…
Descriptors: Academic Achievement, Cognitive Style, Student Developed Materials, Course Content
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João Arantes do Amaral – Journal of Open, Flexible and Distance Learning, 2024
This article presents findings from a massive, free-of-charge online extension course titled Systems Thinking, which was conducted in Brazil in May and June 2024. The course engaged 345 participants. The research aimed to analyse how students' backgrounds, learning methods, and use of AI tools influenced learning outcomes. A mixed-method approach…
Descriptors: Cognitive Style, MOOCs, Outcomes of Education, Artificial Intelligence
Rachel Williams Newman – Online Submission, 2025
Surgical resident learning style preferences in the wake of the rapid, widespread adoption of online learning technology during and following the COVID-19 pandemic is not widely studied. This study investigated learning style preferences of surgical residents in the context of engagement in a hybrid national scientific conference. Thirty-five…
Descriptors: Surgery, Graduate Medical Education, Cognitive Style, Distance Education
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Radhakrishnan, Madhubala – International Journal of Mobile and Blended Learning, 2021
Mobile-based learning provides new experience to the learners to learn anything from anywhere and anytime by using their portable or mobile device. Vast educational contents and also different media formats can be supported by the mobile devices. Access speed of those materials has also improved a lot. With this advancement, providing required…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
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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
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Portnoy, Lindsay; Lemberger, Talia – Information and Learning Sciences, 2022
Purpose: Approaches to learning have the ability to influence knowledge acquisition, comprehension, retention and even motivation to learn. Previous work indicates that despite age, experience, or prior knowledge, students have a tendency to approach learning differently as a function of the presented content. The purpose of this study is to…
Descriptors: Cognitive Style, Learning Processes, Science Education, History
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de Vasconcellos, Isabella Moreira Pereira; Robaina, Diogo Tavares; Bonanni, Carole – Journal of Education and Learning, 2020
In recent years, e-learning has been the fastest growing educational form in students' numbers, and this industry's market revenue (Lee, Choi, &Kim, 2013). Despite this growth, concern about the significantly higher student dropout rate of students in online courses as compared with conventional learning environments has increased. Brazil has…
Descriptors: Decision Making, Dropout Rate, Dropouts, Adult Students
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Eldenfria, Atef; Al-Samarraie, Hosam – Education and Information Technologies, 2019
The differences in learning preferences can be attributed to the differences in individuals' cognitive capacities which may lead them to undertake a certain behavior. It is argued that characterizing the learning complexity based on the volume of information presented to learners can eliminate any avoidable load on working memory. This study…
Descriptors: Diagnostic Tests, Short Term Memory, Cognitive Style, Cognitive Ability
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Labrecque, Lauren I.; Markos, Ereni; Darmody, Aron – Journal of Marketing Education, 2021
Sophisticated technology advances are delivering new and powerful ways for marketers to collect and use consumer data. These data-driven marketing capabilities present a unique challenge for students, as they will soon be expected to manage consumer data and make business decisions based on ethical, legal, and fiscal considerations. This article…
Descriptors: Marketing, Advertising, Privacy, Comparative Analysis
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