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Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
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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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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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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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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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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
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Chen, Chih-Ming; Chen, Liang-Chun; Yang, Shun-Min – Computer Assisted Language Learning, 2019
In recent years, numerous English vocabulary learning-assisted apps have been developed to enlarge learners' English vocabulary through mobile learning. However, the ability of learners to engage in self-regulated learning (SRL) importantly affects performance in autonomously learning English vocabulary using mobile apps. Therefore, this study…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
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Bakhoda, Iman; Shabani, Karim – Computer Assisted Language Learning, 2019
Computerized dynamic assessment (C-DA) brings the rationality of assessment-instruction integration behind dynamic assessment (DA) into computerized context through the presentation of electronic mediations (Poehner). This study attempts to unravel L2 learners' actual/developed ability and learning potential in a C-DA reading comprehension context…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Computer Assisted Instruction
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Waragai, Ikumi; Ohta, Tatsuya; Kurabayashi, Shuichi; Kiyoki, Yasushi; Sato, Yukiko; Brückner, Stefan – Research-publishing.net, 2017
This paper presents the prototype of a foreign language learning space, based on the construction of an integrated formal/informal learning environment. Before the background of the continued innovation of information technology that places conventional learning styles and educational methods into new contexts based on new value-standards,…
Descriptors: Second Language Learning, Second Language Instruction, Computer Simulation, Computer Assisted Instruction
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Hsu, Liwei – Computer Assisted Language Learning, 2016
This study aims to explore the structural relationships among the variables of EFL (English as a foreign language) learners' perceptual learning styles and Technology Acceptance Model (TAM). Three hundred and forty-one (n = 341) EFL learners were invited to join a self-regulated English pronunciation training program through automatic speech…
Descriptors: Pronunciation, Pronunciation Instruction, Cognitive Style, Statistical Analysis
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Cheng, Li – Excellence in Education Journal, 2014
Self-directed learning has been researched by scholars for many years. However, there is a lack of literature on web-based self-directed Mandarin learning. This research was aimed to investigate how students can learn Mandarin through self-directed study with Internet resources, what the advantages and challenges are, and what strategies students…
Descriptors: Mandarin Chinese, Independent Study, Student Attitudes, College Students
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Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.; Kommers, Piet, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers of the International Conference e-Learning 2017, which was organised by the International Association for Development of the Information Society, 20-22 July, 2017. This conference is part of the Multi Conference on Computer Science and Information Systems 2017, 20-23 July, which had a total of 652 submissions.…
Descriptors: Electronic Learning, Online Courses, Teaching Methods, Information Literacy
Judy Guilbeaux-James – ProQuest LLC, 2009
This study investigated the effect of rhythm based computer-assisted music instruction designed for individual learning style preferences. Participants were undergraduate preservice elementary education majors (N = 82) enrolled in Fundamentals of Music. The Perceptual Learning Style Preferences Survey and the Diablo Valley College Learning Style…
Descriptors: Music Education, Computer Assisted Instruction, Undergraduate Students, Preservice Teachers
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Solvie, Pamela; Sungur, Engin – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2012
This study, using mixed methods design research, examined the achievement of third level preservice teachers when advice in the form of text and resources was provided based on students' identified learning styles. In this study, Kolb's learning style inventory was used to identify students' preferred learning style preferences, and an online…
Descriptors: Preservice Teacher Education, Preservice Teachers, Cognitive Style, Learning Processes
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