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Gezgin, Deniz Mertkan; Adnan, Muge; Acar Guvendir, Meltem – Turkish Online Journal of Distance Education, 2018
Mobile learning has started to perform an increasingly significant role in improving learning outcomes in education. Successful and efficient implementation of m-learning in higher education, as with all educational levels, depends on users' acceptance of this technology. This study focuses on investigating the attitudes of undergraduate students…
Descriptors: Electronic Learning, Comparative Analysis, Foreign Countries, Higher Education
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Bui, Gavin; Huang, Zeping – Language Teaching Research, 2018
This study investigates how second language (L2) fluency is influenced by two factors: Pre-task planning and content familiarity. Planning was adopted as a between-participant variable, combined with content familiarity as a within-participant variable, in a 2 × 2 split-plot factorial design. Nineteen measures of fluency phenomena, constituting…
Descriptors: Second Language Learning, Course Content, Familiarity, Language Fluency
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Price, Linda; Svensson, Ingrid; Borell, Jonas; Richardson, John T. E. – IEEE Transactions on Education, 2017
Students' ratings of teaching quality on course units in a computer science program and an environmental engineering program at a large Swedish university were obtained using the Course Experience Questionnaire; 8888 sets of ratings were obtained from men and 4280 sets were obtained from women over ten academic years. These student ratings from…
Descriptors: Foreign Countries, Student Attitudes, Computer Science Education, Engineering Education
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Chapman, Debra; Wang, Shuyan – Journal of Interactive Learning Research, 2015
Multimedia instructional tools (MMIT) have been identified as a way effectively and economically present instructional material. MMITs are commonly used in introductory computer applications courses as MMITs should be effective in increasing student knowledge and positively impact motivation and learning strategies, without increasing costs. This…
Descriptors: Multimedia Instruction, Student Motivation, Learning Strategies, Teaching Methods
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Harris, Robert V.; King, Stephanie B. – Community College Journal of Research and Practice, 2016
The purpose of this study was to see if a relationship existed between American College Testing (ACT) scores (i.e., English, reading, mathematics, science reasoning, and composite) and student success in a computer applications course at a Mississippi community college. The study showed that while the ACT scores were excellent predictors of…
Descriptors: College Entrance Examinations, Standardized Tests, Scores, Predictor Variables
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Holstein, Simona; Cohen, Anat – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2016
The characteristics of successful MOOCs were explored in this study. Thousands of student reviews regarding five xMOOCs (Massive Open Online Course) in the fields of software, science, and management were extracted from the Coursetalk website and analyzed by quantitative and qualitative methods using the Garrison, Anderson, and Archer (2000)…
Descriptors: Online Courses, Instructional Effectiveness, Computer Science Education, Computer Software
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Lang, Guido – Information Systems Education Journal, 2016
This study tests the effects of tutorial format (i.e. video vs. text) on student attitudes and performance in online computing education. A one-factor within-subjects experiment was conducted in an undergraduate Computer Information Systems course. Subjects were randomly assigned to complete two Excel exercises online: one with a video tutorial…
Descriptors: Tutorial Programs, Online Courses, Multimedia Materials, Multimedia Instruction
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Al-Azawei, Ahmed; Al-Bermani, Ali; Lundqvist, Karsten – Journal of Information Technology Education: Research, 2016
This study investigated the complex relationship among learning styles, gender, perceived satisfaction, and academic performance across four programming courses supported by an e-learning platform. A total of 219 undergraduate students from a public Iraqi university who recently experienced e-learning voluntarily took place in the study. The…
Descriptors: Cognitive Style, Programming, Foreign Countries, Undergraduate Students
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Boutnaru, Shlomi; Hershkovitz, Arnon – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2015
In recent years, schools (as well as universities) have added cyber security to their computer science curricula. This topic is still new for most of the current teachers, who would normally have a standard computer science background. Therefore the teachers are trained and then teaching their students what they have just learned. In order to…
Descriptors: Computer Software, Computer Security, Programming Languages, Computer Science Education
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Pertegal-Felices, María L.; Castejón-Costa, Juan L.; Jimeno-Morenilla, Antonio – Studies in Higher Education, 2014
The evidence suggests that emotional intelligence and personality traits are important qualities that workers need in order to successfully exercise a profession. This article assumes that the main purpose of universities is to promote employment by providing an education that facilitates the acquisition of abilities, skills, competencies and…
Descriptors: Engineering Education, Computer Science Education, Intellectual Disciplines, Comparative Analysis
Harris, Robert V. – ProQuest LLC, 2014
In this educational study, the research problem was that each semester a variable number of community college students are unable to complete an introductory computer applications course at a community college in the state of Mississippi with a successful course letter grade. Course failure, or non-success, at the collegiate level is a negative…
Descriptors: Standardized Tests, Scores, Computer Science Education, Success
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Záhorec, Ján; Hašková, Alena; Munk, Michal – Informatics in Education, 2012
The paper presents the results of an international research on a comparative assessment of the current status of computer science education at the secondary level (ISCED 3A) in Slovakia, the Czech Republic, and Belgium. Evaluation was carried out based on 14 specific factors gauging the students' point of view. The authors present qualitative…
Descriptors: Computer Science Education, Qualitative Research, Information Science, Course Content
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Amershi, Saleema; Conati, Cristina – Journal of Educational Data Mining, 2009
In this paper, we present a data-based user modeling framework that uses both unsupervised and supervised classification to build student models for exploratory learning environments. We apply the framework to build student models for two different learning environments and using two different data sources (logged interface and eye-tracking data).…
Descriptors: Supervision, Classification, Models, Educational Environment
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries