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Paul D. Miller; Michael A. Mills – Teaching and Learning Excellence through Scholarship, 2022
In this article, Montgomery College discusses the adoption of H5P, a free and open-source content collaboration framework based on JavaScript that was used in substitute paid practice opportunities for students in Spanish 101 and 102. Utilizing a participatory action research model, three faculty and 47 students collaborated to inform the design,…
Descriptors: Open Education, Open Educational Resources, Technology Uses in Education, Educational Technology
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Saltan, Fatih – Journal of Education and Learning, 2017
Online Algorithm Visualization (OAV) is one of the recent developments in the instructional technology field that aims to help students handle difficulties faced when they begin to learn programming. This study aims to investigate the effect of online algorithm visualization on students' achievement in the introduction to programming course. To…
Descriptors: Information Technology, Control Groups, Experimental Groups, Programming
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Malik, Sohail Iqbal; Mathew, Roy; Al-Nuaimi, Rim; Al-Sideiri, Abir; Coldwell-Neilson, Jo – Education and Information Technologies, 2019
Problem solving skills are considered an integral part of grasping the precise concepts of the programming domain for novices in introductory programming (IP) courses. But these skills are mostly covered only in early lectures of such courses or are included in just a few early chapters of some relevant textbooks. Consequently, high failure and…
Descriptors: Problem Solving, Skill Development, Electronic Learning, Handheld Devices
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Chenoweth, Tim; Corral, Karen; Scott, Kit – Journal of Information Systems Education, 2016
This study evaluates two content delivery options for teaching a programming language to determine whether an asynchronous format can achieve the same learning efficacy as a traditional lecture (face-to-face) format. We use media synchronicity theory as a guide to choose media capabilities to incorporate into an asynchronous tutorial used…
Descriptors: Feedback (Response), Programming, Programming Languages, Electronic Learning
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Lin, Che-Chern; Liu, Zi-Cheng; Chang, Chih-Lin; Lin, Yu-Wen – IEEE Transactions on Education, 2019
Contribution: An online genetic algorithm-based remedial learning system is presented in order to strengthen students' understanding of object-oriented programming (OOP) concepts by tailoring personalized learning materials according to each student's strengths and weaknesses. Background: Prior studies on computer programming education have…
Descriptors: Individualized Instruction, Remedial Instruction, Computer Science Education, Programming Languages
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Rafique, Wajid; Dou, Wanchun; Hussain, Khalid; Ahmed, Khurshid – Online Learning, 2020
Modern internet technologies have revolutionized traditional education by providing flexible and resourceful e-learning opportunities in all fields of life. Programming is an integral part of the undergraduate curriculum in computer sciences where an adequate level of programming expertise is expected from the graduates. In this paper, we explore…
Descriptors: Programming, Expertise, Web Based Instruction, Electronic Learning
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Jain, Rakshak; Singh, Akhilesh K. – International Journal of Information and Communication Technology Education, 2020
Success of any web product and application relies upon how thoughtfully and wisely technology has been implemented for developing and deploying that product -- be it e-commerce product or e-learning product. Alongside pedagogy, application of appropriate technology is the important determinant for an effective and engrossing learning experience of…
Descriptors: Electronic Learning, Expertise, Integrated Learning Systems, Standards
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Alkaria, Ahmed; Alhassan, Riyadh – Journal of Education and Training Studies, 2017
This study was conducted to examine the effect of in-service training of computer science teachers in Scratch language using an electronic learning platform on acquiring programming skills and attitudes towards teaching programming. The sample of this study consisted of 40 middle school computer science teachers. They were assigned into two…
Descriptors: Programming Languages, Programming, Electronic Learning, Inservice Teacher Education
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Turkmen, Gamze; Caner, Sonay – Turkish Online Journal of Distance Education, 2020
This study aims to provide a comprehensive and in-depth investigation of the debugging process in programming teaching in terms of cognitive and metacognitive aspects, based on programming students who demonstrate low, medium, and high programming performance and to propose instructional strategies for scaffolding novice learners in an effective…
Descriptors: Programming, Novices, Electronic Learning, Troubleshooting
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Karavirta, Ville; Shaffer, Clifford A. – IEEE Transactions on Learning Technologies, 2016
Data Structures and Algorithms are a central part of Computer Science. Due to their abstract and dynamic nature, they are a difficult topic to learn for many students. To alleviate these learning difficulties, instructors have turned to algorithm visualizations (AV) and AV systems. Research has shown that especially engaging AVs can have an impact…
Descriptors: Electronic Learning, Computer Science, Animation, Mathematics
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Garcia-Carballeira, Felix; Calderon-Mateos, Alejandro; Alonso-Monsalve, Saul; Prieto-Cepeda, Javier – IEEE Transactions on Learning Technologies, 2020
Our educational project has three primary goals. First, we want to provide a robust vision of how hardware and software interplay, by integrating the design of an instruction set (through microprogramming) and using that instruction set for assembly programming. Second, we wish to offer a versatile and interactive tool where the previous…
Descriptors: Instructional Design, Computer Simulation, Technology Integration, Programming
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Baranova, Evgenia V.; Simonova, Irina V.; Bocharov, Mikhail I.; Zabolotnaia, Victoria V. – International Association for Development of the Information Society, 2019
The problem of development of algorithmic competence of students -- future Computer Science teachers as a component of information competence is investigated. The aim of the study is to identify the conditions for effective algorithmization and programming learning, involving a modular representation of the content, blended learning, allocated in…
Descriptors: Mathematics, Mathematics Skills, Skill Development, Computer Science Education
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Xia, Belle Selene; Liitiäinen, Elia – European Journal of Engineering Education, 2017
The benefits of using online exercises have been analysed in terms of distance learning, automatic assessment and self-regulated learning. In this study, we have not found a direct proportional relationship between student performance in the course exercises that use online technologies and the exam grades. We see that the average submission rate…
Descriptors: Computer Science Education, Electronic Learning, Programming, Academic Achievement
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Ahn, Jeong Yong; Mun, Gil Seong; Han, Kyung Soo; Choi, Sook Hee – Education and Information Technologies, 2017
As higher education increasingly relies on e-learning, the need for tools that will allow teachers themselves to develop effective e-learning objects as simply and quickly as possible has also been increasingly recognized. This article discusses the design and development of a novel tool, Enook (Evolutionary note book), for creating activity-based…
Descriptors: Higher Education, Programming, Electronic Learning, Educational Technology
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Petit, Jordi; Roura, Salvador; Carmona, Josep; Cortadella, Jordi; Duch, Jordi; Giménez, Omer; Mani, Anaga; Mas, Jan; Rodríguez-Carbonell, Enric; Rubio, Enric; de San Pedro, Enric; Venkataramani, Divya – IEEE Transactions on Learning Technologies, 2018
Jutge.org is an open educational online programming judge designed for students and instructors, featuring a repository of problems that is well organized by courses, topics, and difficulty. Internally, Jutge.org uses a secure and efficient architecture and integrates modern verification techniques, formal methods, static code analysis, and data…
Descriptors: Programming, Computer Science Education, Electronic Learning, Experiential Learning
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