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Kristi M. Bockorny; Theresa M. Giannavola; Shalini Mathew; Hannah D. Walters – Active Learning in Higher Education, 2024
In order to navigate enrollment challenges, universities are scheduling more online and blended courses including HyFlex courses which offer students flexibility in their method of attendance. The goal of this study is to explore student engagement in HyFlex courses. However, there is limited research supporting the effectiveness of HyFlex courses…
Descriptors: College Students, In Person Learning, Blended Learning, Asynchronous Communication
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Missaoui, Siwar; Maalel, Ahmed – Education and Information Technologies, 2021
A student's profile defines the best way a student chooses to learn. It comprises information on student's characteristics such as background knowledge, learning style preference, goals, personality etc. The foremost challenge that the students experience in learning system is that they are unable to bring back relevant information based on their…
Descriptors: Profiles, Models, Computer Games, Cognitive Style
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Koc-Januchta, Marta M.; Höffler, Tim N.; Prechtl, Helmut; Leutner, Detlev – Educational Technology Research and Development, 2020
The aim of this study was to investigate the role of visual/verbal cognitive style and interactivity level in dynamic and non-dynamic multimedia learning environments. A group of 235 biology students learned about photosynthesis either from a computer-based animation or a series of static pictures with spoken explanatory text. Participants were…
Descriptors: Cognitive Style, Interaction, Visualization, Multimedia 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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White, Garry – Journal of Information Technology Education: Research, 2020
Aim/Purpose: The purpose of this study is to determine the effectiveness of an Adaptive Learning Technology (ALT), as compared to traditional teaching methods, in an undergraduate management information course. The effectiveness is based on Bloom's Taxonomy of Learning Competencies. Background: Previous studies have investigated factors involved…
Descriptors: Assistive Technology, Educational Technology, Computer Assisted Instruction, Instructional Effectiveness
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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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Gbenga-Akanmu, Taiwo Oladunni; Jegede, Philip Olu – World Journal of Education, 2019
The study examined the effect of meta-cognitive training on field-dependent and field-independent primary school pupils' knowledge of numeracy concepts. It also investigated the moderating effects of sex on meta-cognitive training of the two categories of learners on performance in numeracy. In addition, it investigated the moderating effects of…
Descriptors: Metacognition, Computer Assisted Instruction, Numeracy, Elementary School Students
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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
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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Mudrák, Marián – ICTE Journal, 2018
The paper deals with the issue of e-courses personalization in selected LMS. Even though this topic has been the subject of research for a longer time, more effective concepts of learning through e-courses are still being sought. Part of the contribution is a brief explanation of the terms personalization and adaptivity, which are often mistaken…
Descriptors: Individualized Instruction, Online Courses, Electronic Learning, Curriculum Implementation
Beckmann, Jennifer; Bertel, Sven; Zander, Steffi – International Association for Development of the Information Society, 2015
Adaptive e-Learning systems are able to adjust to a user's learning needs, usually by user modeling or tracking progress. Such learner-adaptive behavior has rapidly become a hot topic for e-Learning, furthered in part by the recent rapid increase in the use of MOOCs (Massive Open Online Courses). A lack of general, individual, and situational data…
Descriptors: Electronic Learning, Cognitive Style, Visual Learning, Verbal Learning
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Ursavas, Omer Faruk; Reisoglu, Ilknur – International Journal of Information and Learning Technology, 2017
Purpose: The purpose of this paper is to explore the validity of extended technology acceptance model (TAM) in explaining pre-service teachers' Edmodo acceptance and the variation of variables related to TAM among pre-service teachers having different cognitive styles. Design/methodology/approach: Structural equation modeling approach was used to…
Descriptors: Cognitive Style, Structural Equation Models, Models, Validity
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Aslan, Burak Galip; Öztürk, Özlem; Inceoglu, Mustafa Murat – Educational Sciences: Theory and Practice, 2014
Considering the increasing importance of adaptive approaches in CALL systems, this study implemented a machine learning based student modeling middleware with Bayesian networks. The profiling approach of the student modeling system is based on Felder and Silverman's Learning Styles Model and Felder and Soloman's Index of Learning Styles…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Cognitive Style
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Brown, Ashland O.; Jensen, Daniel; Rencis, Joseph; Wood, Kristin; Wood, John; White, Christina; Raaberg, Kristen Kaufman; Coffman, Josh – Advances in Engineering Education, 2012
The purpose of active learning is to solicit participation by students beyond the passive mode of traditional classroom lectures. Reading, writing, participating in discussions, hands-on activities, engaging in active problem solving, and collaborative learning can all be involved. The skills acquired during active learning tend to go above and…
Descriptors: Active Learning, Tutoring, Engineering Education, Computer Assisted Instruction
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Hoffler, Tim N.; Schwartz, Ruth N. – Computers & Education, 2011
The effects of self-pacing versus system-pacing were examined in different versions of a computer-based learning environment (static pictures/animations). The role of cognitive style was also considered. While the variables investigated did not have a direct impact on either learning outcome or cognitive load, significant interaction effects were…
Descriptors: Cognitive Style, Pacing, Computer Assisted Instruction, Interaction
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