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Showing 1 to 15 of 51 results Save | Export
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Bodaker, Liat; Rosenberg-Kima, Rinat B. – Journal of Research on Technology in Education, 2023
The COVID-19 pandemic raised the need to examine online learning methods also in young children. This study examined elementary school children's performance and attitudes during and toward an online programming learning activity utilizing the pair-programming Agile method that may foster 21st-century skills, including collaboration and…
Descriptors: Electronic Learning, Cooperative Learning, Programming, Computer Science Education
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Semiral Öncü; Merve Çolakoglu; Huseyin Colak – Journal of Educational Technology and Online Learning, 2024
The purpose of this study was to investigate whether taking a course online or face-to-face matters in terms of student engagement and achievement. Gender differences were also examined. The level of student engagement in an information technology course in a freshman sample from a school of education was surveyed and compared in two consecutive…
Descriptors: Undergraduate Students, Information Technology, Computer Science Education, In Person Learning
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Ella R. Kahu; Heather G. Thomas; Eva Heinrich – Active Learning in Higher Education, 2024
Whether by choice or pushed online by Covid, higher education is increasingly happening in digital spaces with digital tools forming a critical part of learning and teaching contexts. While reviews suggest such tools positively influence student engagement, research tends to be generic and more is needed to understand how and why specific tools…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science Education, Information Networks
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Gabbay, Hagit; Cohen, Anat – International Educational Data Mining Society, 2022
The challenge of learning programming in a MOOC is twofold: acquiring programming skills and learning online, independently. Automated testing and feedback systems, often offered in programming courses, may scaffold MOOC learners by providing immediate feedback and unlimited re-submissions of code assignments. However, research still lacks…
Descriptors: Automation, Feedback (Response), Student Behavior, MOOCs
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Üstün, Ahmet Berk – Malaysian Online Journal of Educational Technology, 2023
In this study, a mobile Blackboard blended learning (BL) environment was implemented to teach the introductory computer course by integrating a learning management system with supplementary video lectures into BL provided through mobile technologies. The purpose of the study was to explore the impact of the mobile Blackboard BL environment on…
Descriptors: Handheld Devices, Electronic Learning, Video Technology, Lecture Method
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Fehaid Lafi Alshammari – Journal of Education and e-Learning Research, 2024
Microlearning is a modern learning modality that has been adopted in recent years for student education. This study aimed to reveal the effect of video-based microlearning on the development of programming skills and technology acceptance among intermediate school students. The study used a quasi-experimental design for two groups. A technology…
Descriptors: Foreign Countries, Middle School Students, Programming, Computer Science Education
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Malgorzata Charytanowicz – Informatics in Education, 2023
Nowadays, the rapid development of ICT has brought more flexible forms that push the boundaries of classic teaching methodology. This paper is an analysis of online teaching and learning forced by the COVID-19 pandemic, as compared with traditional education approaches. In this regard, we assessed the performance of students studying in the…
Descriptors: Teaching Methods, Electronic Learning, COVID-19, Pandemics
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Denis Zhidkikh; Ville Heilala; Charlotte Van Petegem; Peter Dawyndt; Miitta Jarvinen; Sami Viitanen; Bram De Wever; Bart Mesuere; Vesa Lappalainen; Lauri Kettunen; Raija Hämäläinen – Journal of Learning Analytics, 2024
Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…
Descriptors: Learning Analytics, Prediction, School Holding Power, Academic Achievement
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Yuwamon Prasretsung; Naruemon Thepnuan; Duangkamol Kaewdaeng – Turkish Online Journal of Educational Technology - TOJET, 2024
The objectives of this research were to: 1) develop online lessons with the Google Classroom application on computer system operation for secondary 2 (Grade 8) students; 2) study pre-test and post-test academic achievement; and 3) study the students' satisfaction with the online lessons with the Google Classroom application on computer system…
Descriptors: Computer Software, Electronic Learning, Computers, Curriculum Development
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Yong, Su Ting; Gates, Peter – International Journal of Virtual and Personal Learning Environments, 2022
A study was conducted to explore student self-efficacy, motivation, and performance in learning programming online. A questionnaire was administered to 132 students in a Foundation in Engineering programme using the Computer Programming Self-Efficacy Scale and Intrinsic Motivation Inventory. Then, exam performance and Moodle logs were used to…
Descriptors: Emergency Programs, Distance Education, Electronic Learning, Programming
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Margaret Ellis; Brett D. Jones; Fei Gu; Hande Fenerci – International Journal for the Scholarship of Teaching and Learning, 2024
We present a case study that demonstrates how instructors can intentionally design a positive motivational climate in online and hybrid courses. We also examine the extent to which students' perceptions of the motivational climate predict their effort and achievement across three different modalities (face-to-face [FTF], online, and hybrid) of the…
Descriptors: Student Motivation, Classroom Environment, Academic Achievement, Electronic Learning
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Garcia, Fabrício Wickey da Silva; Oliveira, Sandro Ronaldo Bezerra; Carvalho, Elielton da Costa – Informatics in Education, 2023
The contents taught in the programming subjects have a great relevance in the formation of computing students. However, these subjects are characterized by high failure rates, as they require logical reasoning and mathematical knowledge. Thus, establishing knowledge through the subject of algorithms can help students to overcome these difficulties…
Descriptors: Teaching Methods, Algorithms, Undergraduate Students, Computer Science Education
Pearson, 2020
Programming and coding skills are in high demand, and can provide access to employment in growing fields. But a high percentage of undergraduates who enroll in relevant programs do not persist until they achieve competency in the subject and employment in the field. Revel for "Introduction to Java Programming" aims to give students an…
Descriptors: Introductory Courses, Programming, Computer Science Education, Electronic Learning
Fay, Derek; Armstrong, Mark; McEldoon, Katherine; Ridley, Julia – Pearson, 2020
Programming and coding skills are in high demand, and can provide access to employment in growing fields. But a high percentage of undergraduates who enroll in relevant programs do not persist until they achieve competency in the subject and employment in the field. Revel is an interactive learning environment intended to help students prepare for…
Descriptors: Introductory Courses, Programming, Computer Science Education, Electronic Learning
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Rodríguez, M. Elena; Guerrero-Roldán, Ana Elena; Baneres, David; Karadeniz, Abdulkadir – International Review of Research in Open and Distributed Learning, 2022
This work discusses a nudging intervention mechanism combined with an artificial intelligence (AI) system for early detection of learners' risk of failing or dropping out. Different types of personalized nudges were designed according to educational principles and the learners' risk classification. The impact on learners' performance, dropout…
Descriptors: Artificial Intelligence, Electronic Learning, College Students, Intervention
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