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Showing 1 to 15 of 38 results Save | Export
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López-Vargas, Omar; Duarte-Suárez, Leydy; Ibáñez-Ibáñez, Jaime – Improving Schools, 2017
The research reviews the existing relationship between teachers' computer self-efficacy, cognitive style in the field dependence-independence (FDI) dimension, and technological pedagogical content knowledge (TPACK). It also inquired into the influence of teachers' performance area on self-efficacy and TPACK. In total, 208 teachers from a public…
Descriptors: Foreign Countries, Computer Literacy, Pedagogical Content Knowledge, Self Efficacy
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Argelagós, Esther; Pifarré, Manoli – Journal of Education and Training Studies, 2017
The use of the Internet to learn involves complex cognitive activities. Educational researchers claim more attention in studying the nature of students' challenges when using digital information for learning purposes. Our research investigated in depth the challenges that secondary students face when solving web information-problem tasks. We…
Descriptors: Secondary School Students, Computer Literacy, Gender Differences, Internet
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Hung, Yu Hsin; Chang, Ray I.; Lin, Chun Fu – British Journal of Educational Technology, 2015
In recent decades, the rapid growth of technology has resulted in software being widely applied in various domains. Attitudes toward using software play an important role in every industry. This study aims to explore the software literacy of accounting students along with their personal traits, such as learning styles and user behavior. This was a…
Descriptors: College Freshmen, Accounting, Majors (Students), Computer Software
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Koksal, Mustafa Serdar; Yaman, Suleyman; Saka, Yavuz – Australian Journal of Teacher Education, 2016
Purpose of this study was to determine and analyze Turkish pre-service science teachers' perceptions on technology in terms of learning style, computer competency level, possession of a computer, and gender. The study involved 264 Turkish pre-service science teachers. Analyses were conducted through four-way ANOVA, t-tests, Mann Whitney U test and…
Descriptors: Preservice Teachers, Student Attitudes, Educational Technology, Foreign Countries
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Acharya, Anal; Sinha, Devadatta – Journal of Educational Technology Systems, 2018
This study uses homogeneity in personal learning styles and heterogeneity in subject knowledge for collaborative learning group decomposition indicating that groups are "mixed" in nature. Homogeneity within groups was formed using K-means clustering and greedy search, whereas heterogeneity imbibed using agenda-driven search. For checking…
Descriptors: Cooperative Learning, Outcomes of Education, Multiple Regression Analysis, Cognitive Style
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Ozdamar-Keskin, Nilgun; Ozata, Fatma Zeynep; Banar, Kerim; Royle, Karl – Contemporary Educational Technology, 2015
The purpose of the study is to examine digital literacy competences and learning habits of learners enrolled in the open and distance education system of Anadolu University in Turkey. Data were gathered from 20.172 open and distance learners through a survey which included four parts: demographic information, abilities to use digital technologies,…
Descriptors: Computer Literacy, Distance Education, Open Education, Factor Analysis
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Thomas, Wayne W.; Boechler, Patricia M. – International Journal of Virtual and Personal Learning Environments, 2014
With teachers taking more interest in utilizing 3D virtual environments for educational purposes, research is needed to understand how learners perceive and process information within virtual environments (Eschenbrenner, Nah, & Siau, 2008). In this study, the authors sought to determine if learning style or digital literacy predict incidental…
Descriptors: Incidental Learning, Computer Simulation, Simulated Environment, Cognitive Style
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Onofrei, Smaranda Gabriela – Acta Didactica Napocensia, 2015
Under the conditions of a digital age, new technologies undergo various interpretations, approaches and usages. Education reaches new dimensions at all its levels, by adopting new technologies in order to deeper support modern possibilities of learning that define the new generations: a high degree of digital capabilities, the capacity to…
Descriptors: Technology Uses in Education, Resilience (Psychology), Computer Literacy, Information Technology
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Alias, Norlidah; DeWitt, Dorothy; Siraj, Saedah; Rahman, Mohd Nazri Abdul; Gelamdin, Rashidah Begum; Rauf, Rose Amnah Abd – Malaysian Online Journal of Educational Technology, 2014
Research has shown that the strategy of matching learning style with certain technology enhances students' learning experience. This study seeks to identify the learning styles among students in a rural secondary school, based on the Felder Silverman Model (1988) which comprises four dimensions (visual/verbal, active/reflective, sequential/global,…
Descriptors: Foreign Countries, Secondary School Curriculum, Needs Assessment, Learning Modules
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Mativo, John M.; Hill, Roger B.; Godfrey, Paul W. – Journal of STEM Education: Innovations and Research, 2013
The focus of this study was to examine four characteristics for successful and unsuccessful students enrolled in basic mathematics courses at a technical college. The characteristics, considered to be in part effects of human factors in engineering and design, examined the preferred learning styles, computer information systems competency,…
Descriptors: College Mathematics, Mathematics Instruction, Technical Institutes, Human Factors Engineering
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Garthwait, Abigail – Electronic Journal of e-Learning, 2014
This case study was conducted in three schools in Maine, United States. The goal of this qualitative research was two-fold: to describe the process used by a small educational consortium as it initiated formal online education, and to view this experience through the lens of students' preferred learning styles. The United States does not have a…
Descriptors: Pilot Projects, Online Courses, Educational Technology, High School Students
Featro, Susan Mary – ProQuest LLC, 2012
The study gathered data on learning styles, technical comfort level, age, gender, and undergraduate or graduate status to determine if these are predictors of student satisfaction in online learning environments. Student satisfaction was considered in terms of learner-content interaction, learner-instructor interaction, learner-learner…
Descriptors: Interaction, Cognitive Style, Electronic Learning, Online Courses
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Hsu, Ching-Kun; Hwang, Gwo-Jen – Interactive Learning Environments, 2014
Personal computer assembly courses have been recognized as being essential in helping students understand computer structure as well as the functionality of each computer component. In this study, a context-aware ubiquitous learning approach is proposed for providing instant assistance to individual students in the learning activity of a…
Descriptors: Electronic Learning, Educational Technology, Comparative Analysis, Conventional Instruction
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Stewart-McKoy, Michelle A. – Journal of Educators Online, 2014
The purpose of this project was to develop an e-learning profile for a group of media and communication students enrolled in a Jamaican tertiary-level institution in order to make informed decisions most the appropriate [online] learning complement for these students. The objectives sought to determine the e-learning profile of media and…
Descriptors: Postsecondary Education, College Students, Profiles, Computer Use
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Bear, Anne A. Ghost – Journal of Adult Education, 2012
The learning needs for adults that result from the constant increase in technology are rooted in the adult learning concepts of (a) andragogy, (b) self-directed learning, (c) learning-how-to-learn, (d) real-life learning, and (e) learning strategies. This study described the learning strategies that adults use in learning to engage in an online…
Descriptors: Computer Literacy, Adult Learning, Andragogy, Literacy
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