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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
Mustapha Riad; Mohammed Qbadou; Es-Saâdia Aoula; Soukaina Gouraguine – Journal of Education and Learning (EduLearn), 2023
E-learning has increased in popularity, especially during the COVID-19, due to its numerous advantages that allow learners to study anywhere and anytime. Therefore, recommending a list of the most appropriate learning objects for learners according to their specific needs is a great challenge for adaptive e-learning systems. In an e-learning…
Descriptors: Electronic Learning, COVID-19, Pandemics, Cognitive Style
Erginer, Ergin – Education Quarterly Reviews, 2022
If a learning disability is not defined, it can be said that primary school children show the features of adaptable students within the learning atmosphere of the classroom. Most of the time, teachers think that they teach and their students learn easily. However, studies on children's memory show that the learning process gets abstract when the…
Descriptors: Learning Disabilities, Cognitive Style, Elementary School Students, Educational Environment
Wang, Ling; Yang, Dan; Cui, Yue; Zheng, Jie; Wang, Jin; Yang, Yixue; Luo, Zheng – Psychology in the Schools, 2023
This study examined the relationship between regulatory focus and creativity in combination with adaptive-innovative cognitive style and school climate. A total of 687 middle school and high school students (M[subscript age] = 13.98 years; 52.8% males) completed a creative task and questionnaires concerning regulatory focus, adaptive-innovative…
Descriptors: Cognitive Style, Educational Environment, Creativity, Innovation
Chaw, Lee Yen; Tang, Chun Meng – Electronic Journal of e-Learning, 2023
In addition to a face-to-face classroom learning environment, today's learners in higher education are likely to have also experienced a blended learning or an online learning environment. These learning environments not only differ in their delivery modes, but also learning activities, class interactions, assessment approaches, etc. Learners tend…
Descriptors: Student Attitudes, Educational Environment, College Students, In Person Learning
Durmus Burak; Mehmet Gultekin – Technology, Knowledge and Learning, 2024
In this study, it was aimed to implement and evaluate an adaptive learning environment (ALE) designed according to the learner characteristics of 4th grade primary school students and integrate educational hypermedia environments with face-to-face teaching. Via a preliminary study carried out in accordance with this purpose, the variables that…
Descriptors: Educational Environment, Design, Grade 4, Elementary School Students
Ezequiel Scott; Marcelo Campo – Interactive Learning Environments, 2023
Scrum is one of the most used frameworks for agile software development because of its potential improvements in productivity, quality, and client satisfaction. Academia has also focussed on teaching Scrum practices to prepare students to face common software engineering challenges and facilitate their insertion in professional contexts.…
Descriptors: Computer Simulation, Training, Computer Software, Computer Science Education
El-Sabagh, Hassan A. – International Journal of Educational Technology in Higher Education, 2021
Adaptive e-learning is viewed as stimulation to support learning and improve student engagement, so designing appropriate adaptive e-learning environments contributes to personalizing instruction to reinforce learning outcomes. The purpose of this paper is to design an adaptive e-learning environment based on students' learning styles and study…
Descriptors: Electronic Learning, Educational Environment, Cognitive Style, Correlation
Learning Environments of Preschool Children Who Have Different Learning Styles and Sensory Behaviors
Suchitporn Lersilp; Supawadee Putthinoi; Napalai Chaimaha – Child Care in Practice, 2024
Introduction: Learning environment is an important factor in the development of preschool children. However, those who have different learning styles and sensory behaviors might not reach the same achievements in the same learning environments. The objective of this study aimed to develop a guideline program that considers learning environments,…
Descriptors: Educational Environment, Preschool Children, Preschool Education, Student Diversity
Christy Wolfe – National Alliance for Public Charter Schools, 2024
The impact of remote and hybrid work on American life has led to a growing interest in applying similar flexibility to education. This case study explores the concept of flex-based learning. It is a model that blends in-person and at-home instruction to provide a customizable and personalized education experience for students. Flex-based learning…
Descriptors: Charter Schools, Public Schools, Blended Learning, Distance Education
Lei, Weina; Deng, Wenbo; Zhu, Rongjuan; Runco, Mark A.; Dai, David Yun; Hu, Weiping – Journal of Creative Behavior, 2021
Two studies investigated the effects of cognitive and school environmental factors on adolescents' creative performance. The first study tested the effects of expected evaluation and cognitive style on creativity among 89 high school students. The second study tested the effects of evaluation type and cognitive style on creativity among 92 high…
Descriptors: Creativity, Cognitive Style, Environmental Influences, High School Students
Yilun Yang; Tianqi Jiang; Liping Chen – Asia-Pacific Education Researcher, 2024
Language teachers cannot ignore the role of technology in young language learners' lives to engage and motivate them. Therefore, the current research investigated the mediating effect of students' learning and cognitive styles on the relationship between their emotions and situational motivation. 1089 respondents were selected from different…
Descriptors: Psychological Patterns, Metacognition, Educational Environment, Technology Uses in Education
Nazempour, Rezvan – ProQuest LLC, 2023
Educational Data Mining (EDM) is an emerging field that aims to better understand students' behavior patterns and learning environments by employing statistical and machine learning methods to analyze large repositories of educational data. Analysis of variable data in the early stages of a course might be used to develop a comprehensive…
Descriptors: Artificial Intelligence, Outcomes of Education, Electronic Learning, Educational Environment
Ricardo-Adán Salas-Rueda – Journal of Learning for Development, 2024
Currently, educators seek to offer personalised contents to facilitate autonomy during the educational process. The aim of this mixed study (quantitative and qualitative approach) was to build and analyse the effectiveness of the Adaptive Educational application on electronics topics (AEET) considering Data Science (machine learning algorithm on…
Descriptors: Individualized Instruction, Technology Uses in Education, Student Motivation, Student Satisfaction
Villanueva, Fritzgerald – BU Journal of Graduate Studies in Education, 2020
Proponents of learning styles-based instruction recommend using learning styles inventories in school settings. One such inventory is Kolb's Learning Style Inventory (LSI). Critics, on the other hand, discourage the use of such questionnaires because of some challenges associated with learning styles-based instruction. Despite these challenges,…
Descriptors: Cognitive Style, Measures (Individuals), Instructional Effectiveness, Reliability

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