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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
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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
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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
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Shu-Ling Wang; John J. H. Lin; Pin-Chun Su – Educational Technology & Society, 2024
Although research suggests a relationship among personal characteristics, behaviors, and performance, there has been limited examination of these influences in the context of intelligence tests using eye movement techniques. Thus, this study explored the roles of personal characteristics (i.e., visual/verbal cognitive styles, self-efficacy) and…
Descriptors: Self Efficacy, Thinking Skills, Eye Movements, Cognitive Style
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Jahroh; Baidi – Online Submission, 2022
Multiple Intelligences are various skills and talents possessed by students in solving their learning problems so that students can solve learning problems amazingly. However, the application of Multiple Intelligences-based learning has not been widely applied in schools because not many people know the concepts and privileges of learning. And…
Descriptors: Multiple Intelligences, Teaching Methods, Learning Processes, Student Characteristics
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Wanmei Wang; Siti Mariam Abdullah; Chin-Hong Puah – Journal of Education and Learning, 2025
This essay examines the effectiveness of flipped classroom approaches in improving learning outcomes among first-year management students at Chinese vocational colleges. Using a quasi-experimental design, the study involved fifty classes with a total of 1,000 students, divided into experimental and control groups. The study aimed to evaluate how…
Descriptors: Career and Technical Education, Flipped Classroom, Conventional Instruction, Academic Achievement
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Çigdem Bakir; Kübra Öngenli – International Journal of Adult Education and Technology, 2025
This study aims to determine the factors affecting the mathematical achievement of gifted students studying at science and art centers in Bursa province and to predict this achievement using various machine learning models. In the study, variables, such as demographic information, family structure, study habits, motivation level, technology use,…
Descriptors: Foreign Countries, Mathematics Achievement, Academically Gifted, Student Characteristics
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Keskin, Bülent; Özay Köse, Esra; Güloglu, Fadime – International Journal of Contemporary Educational Research, 2021
This study which used survey model aims to examine the relationship between the multiple intelligence and learning styles of the Social Sciences High School and Science High School students. Multiple Intelligence Inventory and Learning Styles Inventory were used as data collection tools, which was conducted on 761 students from Social Sciences…
Descriptors: Social Sciences, High School Students, Multiple Intelligences, Correlation
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Hao-Jun Li; Qin-Ru Huang; Li-Peng Wen; Wei Chen; Zhuo-Zhuo Xu – SAGE Open, 2025
The programming curriculum is crucial in today's digital age, but a common issue is its focus on technical training while neglecting essential skills enhancement. Teachers lack structured and practical guidance on instructional methods, and the wide range of students' foundational abilities makes it difficult to cater to personalized learning…
Descriptors: Artificial Intelligence, Programming, Technology Uses in Education, Instructional Effectiveness
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Mohammad Saleh Alkaramneh; Heyam Al-Taj; Bassam Omar Ghanem; Khaled Abu Sheirah; Hind Ghedhaifi; Naela Shatat – Journal of Educators Online, 2025
This study aimed to investigate the degree to which faculty members at Jordanian universities employ applications of artificial intelligence (AI) in education and scientific research. By adopting a descriptive survey approach, we developed a questionnaire consisting of 39 items covering three dimensions: planning and teaching, evaluation, and…
Descriptors: Foreign Countries, College Faculty, Technology Uses in Education, Artificial Intelligence
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Rayed AlGhamdi – Education and Information Technologies, 2024
This research investigates the impact of ChatGPT-generated feedback on the writing skills of first-year computing students at a Saudi University. Employing a qualitative research design, the study involved 111 male students, blinded to the switch from human to ChatGPT-generated feedback, ensuring unbiased reflections on their experiences. Over six…
Descriptors: Artificial Intelligence, Feedback (Response), Technical Writing, Writing Skills
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Korkman, Hamdi; Tekel, Esra – International Journal of Contemporary Educational Research, 2020
The aim of the study is to examine the mediating role of empathy in the relationship between rational and experiential thinking styles and was designed in a correlational design. The sample of the study consists of 593 university students who were determined by simple random sampling method. Emotional Intelligence Questionnaire--Short Form,…
Descriptors: Empathy, Emotional Intelligence, Cognitive Style, College Students
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Asogwa, Uche Donatus; Onwuneme, Chinonye Virginia; Ogbonna, Samuel C.; Nkanu, Celestine Unoh; Eze, Ben; Mohammad, Abdullahi – International Journal of Curriculum and Instruction, 2022
Learners have their dominant intelligence which gave rise to the different learning styles, a dominant mode of information reception, processing, and storage. The study will determine the extent each learner group perceives the use of Facebook for learning as useful and easy to use. 213 students purposively sampled from five departments which…
Descriptors: Student Attitudes, Preferences, Web 2.0 Technologies, Instructional Improvement
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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
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Wan, Haipeng; Yu, Shengquan – Interactive Learning Environments, 2023
Most online learning researchers use resource recommendation and retrieve based on learning performance and learning style to provide accurate learning resources, but it is a closed and passive adaptive way. Learners always do not know the recommendation rationale and just receive the result-oriented recommended resources without having a chance…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Artificial Intelligence, Cognitive Mapping
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