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Yousaf, Yousra; Shoaib, Muhammad; Hassan, Muhammad Awais; Habiba, Ume – Interactive Learning Environments, 2023
Learning trend has been shifted from a conventional way to a digital way in the form of E-learning, but it faces a high dropout ratio. Lack of engagement is one of the primary factors reported for this issue as the same type of course content is presented to learners despite their different background, knowledge and learning styles. Different…
Descriptors: Intelligent Tutoring Systems, Cognitive Style, Learner Engagement, Academic Achievement
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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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Hassan, Muhammad Awais; Habiba, Ume; Majeed, Fiaz; Shoaib, Muhammad – Interactive Learning Environments, 2021
With the removal of the barriers of time and distance, E-learning platforms have attracted millions of learners, but these platforms are experiencing a significant drop-out ratio. One of the primary reasons for this problem is the lack of motivation among the learners because of the similar learning experience provided to them despite their…
Descriptors: Game Based Learning, Electronic Learning, Cooperative Learning, Integrated Learning Systems
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Huang, Sheng-Bo; Jeng, Yu-Lin; Lai, Chin-Feng – Journal of Educational Computing Research, 2021
In recent years, the government has actively set up computer programming courses to train those with the relevant talent; however, the learning performance of the students is not ideal. Therefore, in order to learn programming skills, students usually adopt note-taking strategies because, due to the pressure of the course, the teachers do not have…
Descriptors: Notetaking, Learning Strategies, Cognitive Style, Peer Teaching
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Sözeri, Mahmut Can; Kert, Serhat Bahadir – International Journal of Computer Science Education in Schools, 2021
In this study, the effects of interactive video usage in programming education on academic achievement and self-efficacy perception of programming were investigated by taking into account learning styles. The research was patterned according to the causal-comparative model, and also, correlation analysis was performed for related research.…
Descriptors: Correlation, Interactive Video, Programming, Academic Achievement
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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
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Shaw, Ruey-Shiang – Journal of Educational Computing Research, 2019
This study focused on the relationships between knowledge mapping construction methods and learning performance. The different knowledge mapping methods (by experts vs. by self-learners) were assumed to achieve different learning performance levels. The results of this study show that neither different knowledge map construction methods nor…
Descriptors: Cognitive Style, Programming Languages, Correlation, Cognitive Mapping
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Lang, Guido – Information Systems Education Journal, 2018
While regular reflection has been found to be a key practice in agile software development, the use of learning journals in computer information systems (CIS) education has yet to be studied systematically. Learning journals are writing-to-learn interventions that use writing as a medium to facilitate metacognition. A randomized controlled trial…
Descriptors: Student Journals, Metacognition, Learning Motivation, Computer Science Education
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Hosseini, Hadi; Hartt, Maxwell; Mostafapour, Mehrnaz – ACM Transactions on Computing Education, 2019
Game-based learning has received significant attention in educational pedagogy as an effective way of increasing student motivation and engagement. The majority of the work in this area has been focused on digital games or games involving technology. We focus on the use of traditional game design in improving student engagement and perception of…
Descriptors: Game Based Learning, Computer Science Education, Learner Engagement, Higher Education
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de Oliveira Costa Machado, Marcelo; Barrére, Eduardo; Souza, Jairo – International Journal of Distance Education Technologies, 2019
Adaptive curriculum sequencing (ACS) is still a challenge in the adaptive learning field. ACS is a NP-hard problem especially considering the several constraints of the student and the learning material when selecting a sequence from repositories where several sequences could be chosen. Therefore, this has stimulated several researchers to use…
Descriptors: Sequential Approach, Intelligent Tutoring Systems, Mathematics, Problem Solving
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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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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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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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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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