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Marioara Pascu – Cogent Education, 2024
This study explored the relationship between students' learning styles and their learning process through Kahoot in developing competencies within a target group of 89 high school students from Technical College "Dimitrie Ghika", Romania. Initially, the students' learning styles were identified using Reid's VAK model. As a second step,…
Descriptors: Cognitive Style, Learning Management Systems, Geography Instruction, Experiential Learning
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Thang Van Le; Ha Le Nguyen; Hung Thanh Nguyen – Journal of Education and e-Learning Research, 2023
E-learning has gained popularity as a method of delivering education recently and offers many advantages to enhance the learning experience for students. Technology allows teachers to design more interactive and engaging lessons that cater to different learning styles. It can also provide opportunities for teachers to incorporate virtual…
Descriptors: Foreign Countries, High School Teachers, Teacher Attitudes, Teaching Methods
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Elkhatat, Ahmed M.; Al-Muhtaseb, Shaheen A. – Chemical Engineering Education, 2022
A Computer-Aided Learning Package as Inquiry-Guided Learning (CALP/IGL) was implemented in a cooling tower experiment for 43 students enrolled in four sections of the Unit Operations Laboratory course in the chemical engineering program at Qatar University. The impact of this approach on the attainment of learning outcomes was evaluated. Results…
Descriptors: Inquiry, Active Learning, Engineering Education, Computer Assisted Instruction
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Alshammari, Mohammad T.; Qtaish, Amjad – Journal of Information Technology Education: Research, 2019
Aim/Purpose: Effective e-learning systems need to incorporate student characteristics such as learning style and knowledge level in order to provide a more personalized and adaptive learning experience. However, there is a need to investigate how and when to provide adaptivity based on student characteristics, and more importantly, to evaluate its…
Descriptors: Electronic Learning, Cognitive Style, Knowledge Level, Individualized Instruction
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Hariyanto, Didik; Triyono, Moch. Bruri; Köhler, Thomas – Knowledge Management & E-Learning, 2020
One of the advanced technologies in e-learning deals with the systems' ability to fit the students' preferences. It emerged based upon the common conception that every person has different learning style. However, despite the many options of learning style models toward using personalized elearning, there are considerable challenges to assess the…
Descriptors: Usability, Electronic Learning, Individualized Instruction, Computer Assisted Instruction
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Hong, Jon-Chao; Lin, Chien-hung; Tsai, Ya-hsun; Tai, Kai-Hsin – Language Learning Journal, 2023
This study explores the relationship between the experience of confusion and the outcomes of Chinese character learning by learners of Chinese as a heritage language (CHL). Based on the claim that impasses triggering confusion can lead to deeper learning of conceptually difficult material, the study employed three impasse-driven tasks. The tasks…
Descriptors: Chinese, Orthographic Symbols, Heritage Education, Native Language Instruction
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Çakiroglu, Ünal; Güler, Mustafa; Atabay, Melek; Güler, Maside – Journal of Educational Technology Systems, 2020
This article reports on the influence of three modalities used in three versions of instructional software designed for different learning styles. Students having visual, auditory, and kinesthetic learning styles are grouped and experimentally investigated through three different versions of the software. The results indicated that cognitive load…
Descriptors: Cognitive Style, Cognitive Processes, Difficulty Level, Multimedia Instruction
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Rivers, Damian J. – Journal of Educational Computing Research, 2021
Computer-mediated learning initiatives have recently increased due to the novel coronavirus pandemic. Implications are thus created for self-regulation, learning and achievement as computer-mediated learners face unique motivational and metacognitive demands. The current research uses a serial mediation approach to test the effect of goal…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, English (Second Language)
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Kang, Haijun; Lin, Xi – New Directions for Adult and Continuing Education, 2019
As China is playing an active role in the World's politics, economy, and cultural circles, being able to communicate in English has become one of the basic life and work skills and a key for global access and integration. High mobile technology penetration, together with the proliferation of mobile learning applications, have made it possible for…
Descriptors: Lifelong Learning, English (Second Language), Telecommunications, Handheld Devices
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Lin, Yen-Yu – Taiwan Journal of TESOL, 2023
This study examined the effectiveness of guided data-driven learning (DDL) activities on helping technological university students with a lower-intermediate proficiency level to learn grammar and vocabulary topics for the TOEIC test. The question of whether inductive learners make more progress than deductive learners was also addressed. A total…
Descriptors: Grammar, Teaching Methods, Second Language Learning, English (Second Language)
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Evers, Katerina; Chen, Sufen – Journal of Educational Computing Research, 2021
This study investigated how learning styles (visual/verbal) and the use of Automatic Speech Recognition (ASR) software affect English as a Second Language adult learners' improvement during a 12-week course focusing on pronunciation. In the control group (n = 28), the teacher corrected and gave feedback on the adult learners' pronunciation;…
Descriptors: Automation, Computer Assisted Instruction, Computer Software, Pronunciation Instruction
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Zabolotskikh, Alexander; Zabolotskikh, Anna; Dugina, Tatiana; Tavberidze, Daria – Education and Information Technologies, 2021
Undergraduate students fail to objectively self-assess grammar skills of English as a second language but mastering English grammar autonomously can assist. The article aims to describe and assess the Moodle plugin that offers undergraduate students individual learning paths in studying English grammar. An experiment with 3953 students was…
Descriptors: Undergraduate Students, Grammar, Second Language Learning, Second Language Instruction
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Ellis, Robert A.; Bliuc, Ana-Marie – Active Learning in Higher Education, 2019
As online learning technologies are becoming an integral part of the learning experience at university, the quality of student learning is increasingly shaped by their experience of using these new artefacts. In many cases, the research frameworks investigating the contribution of online learning technologies to quality outcomes are yet to have…
Descriptors: Online Courses, Learning Experience, Educational Quality, Cognitive Style
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Zulfiani Zulfiani; Iwan Permana Suwarna; Sujiyo Miranto – Journal of Baltic Science Education, 2018
Students with their different learning styles also have their own different learning approaches, and teachers cannot simultaneously facilitate them all. Teachers' limitation in serving all students' learning styles can be anticipated by the use of computer-based instructions. This research aims to develop ScEd-Adaptive Learning System (ScEd-ASL)…
Descriptors: Science Instruction, Cognitive Style, Intelligent Tutoring Systems, Teaching Methods
Pem, Kailash – Online Submission, 2019
The research study sought to determine the effect of tailored animated motion sequences on teaching, performance and visual literacy in Biology learners. The animations were developed as per the Grade 8 Biology syllabus hence referring to the term 'tailored motion graphic's' using the ADDIE design model. This mixed-methods study included a series…
Descriptors: Foreign Countries, Computer Assisted Instruction, Science Instruction, Secondary School Science
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