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Alshammari, Mohammad T.; Qtaish, Amjad – Journal of Information Technology Education: Research, 2019
Aim/Purpose: Effective e-learning systems need to incorporate student characteristics such as learning style and knowledge level in order to provide a more personalized and adaptive learning experience. However, there is a need to investigate how and when to provide adaptivity based on student characteristics, and more importantly, to evaluate its…
Descriptors: Electronic Learning, Cognitive Style, Knowledge Level, Individualized Instruction
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
Hariyanto, Didik; Triyono, Moch. Bruri; Köhler, Thomas – Knowledge Management & E-Learning, 2020
One of the advanced technologies in e-learning deals with the systems' ability to fit the students' preferences. It emerged based upon the common conception that every person has different learning style. However, despite the many options of learning style models toward using personalized elearning, there are considerable challenges to assess the…
Descriptors: Usability, Electronic Learning, Individualized Instruction, Computer Assisted Instruction
Lin, Yen-Yu – Taiwan Journal of TESOL, 2023
This study examined the effectiveness of guided data-driven learning (DDL) activities on helping technological university students with a lower-intermediate proficiency level to learn grammar and vocabulary topics for the TOEIC test. The question of whether inductive learners make more progress than deductive learners was also addressed. A total…
Descriptors: Grammar, Teaching Methods, Second Language Learning, English (Second Language)
Rusli, Muhammad; Negara, I. Komang Rinartha Yasa – Turkish Online Journal of Distance Education, 2017
The effectiveness of a learning depends on four main elements, they are content, desired learning outcome, instructional method and the delivery media. The integration of those four elements can be manifested into a learning module which is called multimedia learning or learning by using multimedia. In learning context by using computer-based…
Descriptors: Animation, Multimedia Instruction, Cognitive Style, Programming
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
Wei, Liew Tze; Sazilah, Salam – Journal of Interactive Learning Research, 2012
This study investigated the effects of visual cues in multiple external representations (MER) environment on the learning performance of novices' program comprehension. Program codes and flowchart diagrams were used as dual representations in multimedia environment to deliver lessons on C-Programming. 17 field independent participants and 16 field…
Descriptors: Programming, Multimedia Materials, Computer Assisted Instruction, Computer Science Education
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
The Proposed Model of Collaborative Virtual Learning Environment for Introductory Programming Course
Othman, Mahfudzah; Othman, Muhaini – Turkish Online Journal of Distance Education, 2012
This paper discusses the proposed model of the collaborative virtual learning system for the introductory computer programming course which uses one of the collaborative learning techniques known as the "Think-Pair-Share". The main objective of this study is to design a model for an online learning system that facilitates the…
Descriptors: Foreign Countries, Electronic Learning, Cognitive Style, Computer Assisted Instruction
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

Taylor, Robert P.; Cunniff, Nancy – Teachers College Record, 1988
The efficacy of using graphic representations of concepts, which are more readily generated on a computer than in traditional texts, was studied. The study, which involved teaching computer programming, is described. The necessity of further research is discussed. (JL)
Descriptors: Autoinstructional Aids, Cognitive Style, Computer Assisted Instruction, Computer Graphics

van Meerienboer, Jeroen J. G. – Journal of Research on Computing in Education, 1988
Discussion of computer programing and students' cognitive styles focuses on a study that explored the relationship between the cognitive styles and achievements of high school students in an introductory computer programing course. Reflective and impulsive cognitive styles are described, and implications for the design of instructional materials…
Descriptors: Academic Achievement, Cognitive Style, Computer Assisted Instruction, Computer Science Education

Davidson, Gayle V.; And Others – Journal of Research on Computing in Education, 1992
A learning style inventory was administered to 68 undergraduates enrolled in a course on computer applications in education. Correlation of these data with grades on class projects and exams indicated that students with high abstract sequential ability had higher performance scores, and learners with a dominance in abstract random style had lower…
Descriptors: Academic Achievement, Cognitive Style, Computer Assisted Instruction, Computer Science Education
Quade, Ann M. – 1996
This study examined the roles which note-taking method (either pencil and paper or an online computer notepad) and style (verbatim, paraphrasing, etc.) play in retention and depth of processing during computer-delivered instruction. Participants were 112 junior and senior undergraduates from a southern Minnesota university whose major was computer…
Descriptors: Cognitive Style, Computer Assisted Instruction, Computer Science Education, Correlation
Denenberg, Stewart A. – Journal of Computer Science Education, 1993
Proposes using computer programing teaching problem solving. Describes the problem-solving technique of Top-Down Design, discusses its application to LOGO, and provides examples of programs using LOGO. (MDH)
Descriptors: Cognitive Style, Computer Assisted Instruction, Computer Oriented Programs, Computer Science Education
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