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Kuhnel, Matthias; Seiler, Luisa; Honal, Andrea; Ifenthaler, Dirk – Interactive Technology and Smart Education, 2018
Purpose: The purpose of the study was to test the usability of the MyLA app prototype by its potential users. Furthermore, the Web app will be introduced in the framework of "Mobile Learning Analytics", a cooperation project between the Cooperative State University Mannheim and University of Mannheim. The participating universities focus…
Descriptors: Electronic Learning, Higher Education, Data Collection, Usability
Kuhnel, Matthias; Seiler, Luisa; Honal, Andrea; Ifenthaler, Dirk – International Association for Development of the Information Society, 2017
This study aims to test the usability of MyLA (My Learning Analytics), an application for students at two German universities: The Cooperative State University Mannheim and University of Mannheim. The participating universities focus on the support of personalized and self-regulated learning. MyLA collects data such as learning behavior and…
Descriptors: Electronic Learning, Higher Education, Data Collection, Usability
Blau, Ina; Weiser, Orli; Eshet-Alkalai, Yoram – Research in Learning Technology, 2017
This controlled experiment examined how academic achievement and cognitive, emotional and social aspects of perceived learning are affected by the level of medium naturalness (face-to-face, one-way and two-way videoconferencing) and by learners' personality traits (extroversion-introversion and emotional stability-neuroticism). The Media…
Descriptors: Foreign Countries, Academic Achievement, Cognitive Processes, Emotional Response
Saadé, Raafat George; Al Sharhan, Jamal – Journal of Information Technology Education: Research, 2015
In an educational setting, the use of online learning tools impacts student performance. Motivation and beliefs play an important role in predicting student decisions to use these learning tools. However, IT-personality entailing playfulness on the web, perceived personal innovativeness, and enjoyment may have an impact on motivations. In this…
Descriptors: Student Motivation, Technology Uses in Education, Educational Technology, Electronic Learning
Al-Azawei, Ahmed; Parslow, Patrick; Lundqvist, Karsten – Australasian Journal of Educational Technology, 2017
This study assesses learner perceptions of a blended e-learning system (BELS) and the feasibility of accommodating educational hypermedia systems (EHSs) according to learning styles using a modified version of the technology acceptance model (TAM). Recently, Moodle has been adopted by an Iraqi university alongside face-to-face (F2F) classrooms to…
Descriptors: Cognitive Style, Blended Learning, Computer Attitudes, Models
Tran, Khanh Ngo Nhu – Journal of Information Technology Education: Research, 2016
This study examines factors that determine the attitudes of learners toward a blended e-learning system (BELS) using data collected by questionnaire from a sample of 396 students involved in a BELS environment in Vietnam. A theoretical model is derived from previous studies and is analyzed and developed using structural equation modeling…
Descriptors: Foreign Countries, Blended Learning, Electronic Learning, Educational Technology
Kelsen, Brent; Flowers, Simeon – International Journal on E-Learning, 2018
Personality traits are believed to affect both learner ability and group dynamics and cohesion. Another central element influencing how individuals perform in group settings stems from their motivation to collaborate. This article explores the relationship between personality traits, motivation for collaboration and participation of university…
Descriptors: Foreign Countries, Personality Traits, Student Motivation, Cooperative Learning
Liu, Ming-Chou; Chi, Ming-Hsiao – Educational Technology & Society, 2012
In the era of the Internet, factors which influence effective learning in a Web-based learning environment are well worth exploring. In addition to knowledge acquisition and skills training, affect is also an important factor, since successful learning requires excellent affective performance. Thus this study focuses on learners' affective…
Descriptors: Foreign Countries, Questionnaires, Program Effectiveness, Personality Traits
Lau, Chun Yun; Shaikh, Junaid M. – Educational Research and Reviews, 2012
Nowadays many educational institutions have embraced online education to cater for flexible and student-centered learning. Through online education, students have an opportunity to gain education at their own convenience, in terms of time and place. However, it is argued that students are less satisfied with online learning than with traditional…
Descriptors: Academic Achievement, Educational Technology, Self Efficacy, Foreign Countries
Punnoose, Alfie Chacko – Journal of Information Technology Education: Research, 2012
The purpose of this study was to find some of the predominant factors that determine the intention of students to use eLearning in the future. Since eLearning is not just a technology acceptance decision but also involves cognition, this study extended its search beyond the normal technology acceptance variables into variables that could affect…
Descriptors: Foreign Countries, Intention, Motivation, Personality Traits
Yang, Fang-Ying; Chang, Cheng-Chieh – Computers & Education, 2009
The purpose of the study is to explore three kinds of personal affective traits among high-school students and their effects on web-based concept learning. The affective traits include personal preferences about web-based learning environments, personal epistemological beliefs, and beliefs about web-based learning. One hundred 11th graders…
Descriptors: Grade 11, Epistemology, Student Characteristics, Personality Traits
Alkhatnai, Mubarak – ProQuest LLC, 2011
The primary purpose of this study was to examine Saudi EFL college students' perceptual learning styles in order to determine whether their perception of their learning styles is a predictor of academic persistence, satisfaction and success in different learning environments. Participants' perceptions about their learning styles in both…
Descriptors: Foreign Countries, Cognitive Style, Classroom Environment, College Students
Contreras, Carlos L. M. – Quarterly Review of Distance Education, 2004
Demographic and personality variables and computer use were used to predict computer self-confidence with a sample of students enrolled in online college-credit classes. Computer self-confidence was measured with one 10-choice question. Demographic variables included age, annual income, geographic region, gender, and ethnicity. Computer use was…
Descriptors: Income, Age Differences, Ethnic Groups, Gender Differences