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Learning Style Inventory11
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Pürbudak, Aysegül; Usta, Ertugrul – Participatory Educational Research, 2021
The aim of this research is to determine the learning styles of Web 2.0 based collaborative group activities; to examine the effects on academic achievement, online cooperative learning attitude level, computer thinking skill level. The research was carried out with a quantitative method and a pretest-posttest control group quasi-experimental…
Descriptors: Group Activities, Cooperative Learning, Electronic Learning, Cognitive Style
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Lang, Guido – Information Systems Education Journal, 2017
This paper introduces agile learning, a novel pedagogical approach that applies the processes and principles of agile software development to the context of learning. Agile learning is characterized by short project cycles, called sprints, in which a usable deliverable is fully planned, designed, built, tested, reviewed, and launched. An…
Descriptors: Teaching Methods, Computer Software, Student Projects, Undergraduate Students
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Lang, Guido; O'Connell, Stephen D. – Information Systems Education Journal, 2015
We investigate the relationship between learning styles, online content usage and exam performance in an undergraduate introductory Computer Information Systems class comprised of both online video tutorials and in-person classes. Our findings suggest that, across students, (1) traditional learning style classification methodologies do not predict…
Descriptors: Introductory Courses, Correlation, Cognitive Style, Undergraduate Students
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Al-Dujaily, Amal; Kim, Jieun; Ryu, Hokyoung – Educational Technology & Society, 2013
A concern of computer-based learning system design is how to accommodate learners' individual differences during learning activities. Previous research suggests that adaptive e-learning systems can effectively address such individual differences and, consequently, they enable more directed tutoring via computer-assisted instruction. In this paper,…
Descriptors: Electronic Learning, Extraversion Introversion, Individual Differences, Learning Activities
Dedic, Velimir; Markovic, Suzana – European Journal of Open, Distance and E-Learning, 2012
Implementing Web-based educational environment requires not only developing appropriate architectures, but also incorporating human factors considerations. User interface becomes the major channel to convey information in e-learning context: a well-designed and friendly enough interface is thus the key element in helping users to get the best…
Descriptors: Computer Interfaces, Computer Science Education, Programming, Correlation
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Kulturel-Konak, Sadan; D'Allegro, Mary Lou; Dickinson, Sarah – Contemporary Issues in Education Research, 2011
Women have made great strides in baccalaureate degree obtainment, out numbering men by over 230,000 conferred baccalaureate degrees in 2008. However, the proportion of earned degrees for women in some of the Science, Technology, Engineering, and Mathematics (STEM) courses continues to lag behind male baccalaureate completions (National Science…
Descriptors: STEM Education, Cognitive Style, Gender Differences, Females
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Mehigan, Tracey J.; Pitt, Ian – International Journal of Game-Based Learning, 2012
Adaptive learning systems tailor content delivery to meet specific needs of the individual for improved learning-outcomes. Learning-styles and personalities are usually determined through the completion of questionnaires. There are a number of models available for this purpose including the Myer-Briggs Model (MBTI), the Big Five Model, and the…
Descriptors: Cognitive Style, Teaching Methods, Educational Games, Telecommunications
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Hung, Yen-Chu – Journal of Educational Computing Research, 2012
The instructional value of web-based education systems has been an important area of research in information systems education. This study investigates the effect of various teaching methods on program design learning for students with specific learning styles in web-based education systems. The study takes first-year Computer Science and…
Descriptors: Foreign Countries, Control Groups, Experimental Groups, Programming
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Guthrie, Cameron – Journal of Information Systems Education, 2010
Project-based learning has been suggested as an appropriate pedagogy to prepare students in information systems for the realities of the business world. Web-based resources have been used to support such pedagogy with mixed results. The paper argues that the design of web-based learning support to cater to different learning styles may give…
Descriptors: Student Projects, Computer Assisted Instruction, Active Learning, Information Systems
Myers, J. Paul, Jr.; Munsinger, Brita – 1996
This paper investigates the relationship between learning style and programming achievement in two paradigms: imperative and functional. An imperative language achieves its effect by changing the value of variables by means of assignment statements while functional languages rely on evaluation of expressions rather than side-effects. Learning…
Descriptors: Achievement Gains, Cognitive Style, Computer Science Education, Correlation
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Hudak, Mary A.; Anderson, David E. – Teaching of Psychology, 1990
Studies 94 undergraduate students in introductory statistics and computer science courses. Applies Formal Operations Reasoning Test (FORT) and Kolb's Learning Style Inventory (LSI). Finds that substantial numbers of students have not achieved the formal operation level of cognitive maturity. Emphasizes need to examine students learning style and…
Descriptors: Abstract Reasoning, Academic Achievement, Analysis of Variance, Cognitive Ability