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Showing 1 to 15 of 35 results Save | Export
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Lily R. Liang; Rui Kang – International Journal for the Scholarship of Teaching and Learning, 2024
This study examines the impact of a situated learning class framework on student learning and sense of belonging in a first-year introductory computer programming course offered at an urban commuter campus. The framework provided students opportunities to engage in hands-on activities embedded in authentic contexts facilitated or led by students…
Descriptors: Undergraduate Students, Computer Science Education, Commuting Students, Sense of Community
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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
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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)
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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
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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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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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Magdin, Martin; Turcáni, Milan – Turkish Online Journal of Educational Technology - TOJET, 2015
Individualization of learning through ICT [Information and Communication Technology] allows to students not only the possibility choose the time and place to study, but especially pace adoption of new knowledge on the basis of preferred learning styles. Analysis of learning processes should give the answer to difficult questions from pedagogical…
Descriptors: Management Systems, Information Technology, Electronic Learning, Cognitive Style
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Manolis, Chris; Burns, David J.; Assudani, Rashmi; Chinta, Ravi – Learning and Individual Differences, 2013
To understand experiential learning, many have reiterated the need to be able to identify students' learning styles. Kolb's Learning Style Model is the most widely accepted learning style model and has received a substantial amount of empirical support. Kolb's Learning Style Inventory (LSI), although one of the most widely utilized instruments to…
Descriptors: Experiential Learning, Teaching Methods, Cognitive Style, Computer Science
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Yagci, Mustafa – Turkish Online Journal of Educational Technology - TOJET, 2016
High-level thinking and problem solving skill is one requirement of computer programming that most of the students experience problems with. Individual differences such as motivation, attitude towards programming, thinking style of the student, and complexity of the programming language have influence on students' success on programming. Thus,…
Descriptors: Blended Learning, Programming Languages, Success, Student Motivation
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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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Olsson, Marie; Mozelius, Peter; Collin, Jonas – Electronic Journal of e-Learning, 2015
Courses in virtual learning environments can leave recently enrolled participants in a state of loneliness, confusion and boredom. What course content is essential in the course, where can more information be found and which assignments are mandatory? Research has stated that learner control and motivation are crucial issues for successful online…
Descriptors: Questionnaires, Visualization, Electronic Learning, Programming
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de Salas, Kristy; Lewis, Ian; Dermoudy, Julian – Australian Educational Computing, 2014
Within existing ICT degrees there is a widely-held belief that content must be tailored for different "kinds" of students--often two differing student groups: a technical group requiring detailed Computer Science knowledge and a separate group requiring less technical, more strategic ICT knowledge and skills. Our institution has produced…
Descriptors: Cognitive Style, Computer Science, Information Technology, Technological Literacy
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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
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Cegielski, Casey G.; Hazen, Benjamin T.; Rainer, R. Kelly – Journal of Information Systems Education, 2011
The rich, interdisciplinary tradition of learning styles is markedly absent in information systems-related research. The current study applies the framework of learning styles to a common educational component of many of today's information systems curricula--object-oriented systems development--in an effort to answer the question as to whether…
Descriptors: Cognitive Style, Information Systems, Systems Development, Teaching Methods
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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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