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Idir Saïdi; Nicolas Durand; Frédéric Flouvat – International Educational Data Mining Society, 2025
The aim of this paper is to provide tools to teachers for monitoring student work and understanding practices in order to help student and possibly adapt exercises in the future. In the context of an online programming learning platform, we propose to study the attempts (i.e., submitted programs) of the students for each exercise by using…
Descriptors: Programming, Online Courses, Visual Aids, Algorithms
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Minnegalieva, Chulpan Bakievna; Khabibullin, Timur Vakhtangovich; Giniyatullina, Gulchachak Rishatovna; Giniyatullin, Lenar Ildarovich – International Journal of Higher Education, 2020
Online courses on different platforms provide thousands of students with the knowledge and skills they need. This paper presents the results of a survey of students, during which they expressed their opinion on the use of electronic resources in teaching. The survey showed that students are more motivated to study when they understand how their…
Descriptors: Difficulty Level, Electronic Learning, Online Courses, Student Attitudes
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Zi Xiang Poh; Ean Teng Khor – International Journal on E-Learning, 2024
Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…
Descriptors: Learning Analytics, Goodness of Fit, Academic Achievement, Online Courses
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Maria Jesús Marco-Galindo; Julià Minguillón; David García-Solórzano; Teresa Sancho-Vinuesa – ACM Transactions on Computing Education, 2025
Objectives: This study addresses the challenges faced by students repeating an introductory programming course (CS1) at an online university, where dropout and failure rates remain high. While programming education has been widely studied, targeted interventions for repeating students remain scarce. Our research aims to analyze the experiences of…
Descriptors: Computer Science Education, Online Courses, Repetition, Introductory Courses
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Haruo, Kodama – Asian Association of Open Universities Journal, 2022
Purpose: The purpose of this paper is to investigate the legal issues of simultaneous Internet transmission of broadcasting programs of the Open University of Japan (OUJ) and to take legal measures to promote the mutual utilization of open university courses in Japan, the UK, China and Korea. Design/methodology/approach: The author examines the…
Descriptors: Foreign Countries, Comparative Analysis, Internet, Open Education
Al-Makhzoomy, Alaa Khalaf – ProQuest LLC, 2018
The study investigated the effect of Game Development-Based Learning (GDBL) on the ability of IT undergraduates in Jordanian universities to define the concepts of computer programming and Object-Oriented Programming (OOP) and their ability to program in C++. An instruction was designed for an eight-week-long online course to allow the…
Descriptors: Foreign Countries, Games, Information Technology, Undergraduate Students
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Asmaa Bengueddach; Djamila Hamdadou – International Society for Technology, Education, and Science, 2024
The COVID-19 pandemic, an unprecedented global health crisis, has not only significantly impacted public health but has also caused substantial disruptions to conventional education systems. In response to these challenges, our institution has undertaken innovative measures within the realm of education. A pivotal aspect of our response involves…
Descriptors: Personal Autonomy, Online Courses, Educational Change, Coding
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Rowlett, Peter; Corner, Alexander S. – International Journal of Mathematical Education in Science and Technology, 2022
During the COVID-19 pandemic, the teaching of programming for undergraduate mathematicians was moved online. This was delivered asynchronously, with students working through notes and exercises and asking for help from staff via online messages as needed. Staff delivery time was redirected from content delivery into a formal system of formative…
Descriptors: COVID-19, Pandemics, Programming, Undergraduate Students
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Feklistova, Lidia; Lepp, Marina; Luik, Piret – Education Sciences, 2021
In every course, there are learners who successfully pass assessments and complete the course. However, there are also those who fail the course for various reasons. One of such reasons may be related to success in assessment. Although performance in assessments has been studied before, there is a lack of knowledge on the degree of variance…
Descriptors: Online Courses, Educational Technology, Programming, Learner Engagement
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Rõõm, Marili; Lepp, Marina; Luik, Piret – Education Sciences, 2021
One of the problems regarding MOOCs (Massive Open Online Courses) is the high dropout rate. Although dropout periods have been studied, there is still a lack of understanding of how dropout differs for MOOCs with different levels of difficulty. A quantitative study was conducted to determine the periods with the highest dropouts in computer…
Descriptors: Online Courses, Large Group Instruction, Dropout Rate, Programming
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Silva, Leonardo; Mendes, António; Gomes, Anabela; Fortes, Gabriel – International Journal of Computer-Supported Collaborative Learning, 2023
The use of computational scaffolding is a crucial strategy to foster students' regulation of learning skills, which is associated with increased learning achievement. However, most interventions treat the regulatory processes as individual actions isolated from a social context. This view contradicts the most recent research that points to the…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Learning Processes, Computation
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Fung, Tze-ho; Li, Wing-yi – Practical Assessment, Research & Evaluation, 2022
Rough set theory (RST) was proposed by Zdzistaw Pawlak (Pawlak,1982) as a methodology for data analysis using the notion of discernibility of objects based on their attribute values. The main advantage of using RST approach is that it does not need additional assumptions--like data distribution in statistical analysis. Besides, it provides…
Descriptors: Gifted, Metacognition, Learning Strategies, Programming Languages
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Cukurbasi, Baris – Journal of Educational Technology and Online Learning, 2022
The study has aimed to examine student views and experiences related to distance education, flipped classroom, distance flipped classroom, and face-to-face learning activities carried out over the semester. In this context, student opinions regarding mixed educational experiences in four courses planned and carried out over a semester were…
Descriptors: COVID-19, Pandemics, Student Attitudes, Blended Learning
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Säde, Merilin; Suviste, Reelika; Luik, Piret – Education Sciences, 2021
Massive open online courses (MOOCs) can potentially affect the lives of millions of people, but there is little research on how a programming MOOC could affect participants' lives after participation. In Estonia, we have organised several programming MOOCs over the years, attended by over 14,000 people. This inspired us to develop and validate a…
Descriptors: Online Courses, Programming, Foreign Countries, Computer Science Education
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Kiliç, Servet – Informatics in Education, 2023
This study aims to explore how gamification elements influence the development of the Community of Inquiry (CoI) in an online project-based programming course conducted on Facebook. We formed student groups by using a quasi-experimental design from students studying in the computer science department. While both courses were project-based, the…
Descriptors: Instructional Effectiveness, Gamification, Communities of Practice, Inquiry
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