Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
| Since 2022 (last 5 years) | 12 |
| Since 2017 (last 10 years) | 28 |
| Since 2007 (last 20 years) | 42 |
Descriptor
| Foreign Countries | 43 |
| Student Characteristics | 43 |
| Programming | 40 |
| Computer Science Education | 25 |
| Teaching Methods | 20 |
| Academic Achievement | 18 |
| Student Attitudes | 18 |
| Online Courses | 15 |
| College Students | 14 |
| Gender Differences | 13 |
| Computer Software | 11 |
| More ▼ | |
Source
Author
Publication Type
| Journal Articles | 32 |
| Reports - Research | 29 |
| Collected Works - Proceedings | 10 |
| Reports - Evaluative | 3 |
| Information Analyses | 1 |
| Speeches/Meeting Papers | 1 |
| Tests/Questionnaires | 1 |
Education Level
Audience
Location
| Turkey | 7 |
| Germany | 6 |
| Brazil | 5 |
| Estonia | 4 |
| Italy | 4 |
| Hong Kong | 3 |
| Japan | 3 |
| Spain | 3 |
| United Kingdom | 3 |
| United States | 3 |
| Africa | 2 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 3 |
| California Critical Thinking… | 1 |
| Trends in International… | 1 |
What Works Clearinghouse Rating
Dennis Tay – Journal of Statistics and Data Science Education, 2024
Data analytics and programming skills are increasingly important in the humanities, especially in disciplines like linguistics due to the rapid growth of natural language processing (NLP) technologies. However, attitudes and perceptions of students as novice learners, and the attendant pedagogical implications, remain underexplored. This article…
Descriptors: Data Analysis, Programming, Linguistics, Graduate Students
Verica R. Milutinovic; Ivana Obradovic; Suzana Ðordevic – Educational Studies, 2025
Many countries are revising their computing curricula, including Serbia, where coding became a core subject in primary schools in 2017/2018. Gamification is a common teaching method, yet little research explores primary students' motivation to learn coding through gamification. This study aims to investigate the factors that influence primary…
Descriptors: Foreign Countries, Elementary School Students, Gamification, Coding
Effect of an OwlSpace Programming Course on the Computational Thinking of Elementary School Students
Wei-Ying Li; Tzu-Chuen Lu – Informatics in Education, 2024
This study investigates the effect of programming courses on the computational thinking (CT) skills of elementary school students and the learning effectiveness of students from different backgrounds who are studying programming. We designed a OwlSpace programming course into an elementary school curriculum. Students in fourth and fifth grades…
Descriptors: Programming, Computation, Thinking Skills, Elementary School Students
Gökoglu, Seyfullah; Kilic, Servet – E-Learning and Digital Media, 2023
This study investigates pre-service computer science (CS) teachers' perspectives on the factors affecting their programming abilities, concerns about their future professional lives, and pedagogical suggestions for effective programming teaching. The participants of the study were twenty-eight pre-service CS teachers studying at eighteen different…
Descriptors: Programming, Computer Science Education, Preservice Teachers, Teaching Methods
Hugo G. Lapierre; Patrick Charland; Pierre-Majorique Léger – Computer Science Education, 2024
Background and Context: Current programming learning research often compares novices and experienced programmers, leaving early learning stages and emotional and cognitive states under-explored. Objective: Our study investigates relationships between cognitive and emotional states and learning performance in early stage programming learners with…
Descriptors: Programming, Computer Science Education, Psychological Patterns, Cognitive Processes
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
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
Ramon Mayor Martins; Christiane Gresse Von Wangenheim – Informatics in Education, 2024
Information technology (IT) is transforming the world. Therefore, exposing students to computing at an early age is important. And, although computing is being introduced into schools, students from a low socio-economic status background still do not have such an opportunity. Furthermore, existing computing programs may need to be adjusted in…
Descriptors: Information Technology, Socioeconomic Status, Social Class, Computer Literacy
Varga, Erika B.; Sátán, Ádám – Hungarian Educational Research Journal, 2021
The purpose of this paper is to investigate the pre-enrollment attributes of first-year students at Computer Science BSc programs of the University of Miskolc, Hungary in order to find those that mostly contribute to failure on the Programming Basics first-semester course and, consequently to dropout. Our aim is to detect at-risk students early,…
Descriptors: Identification, At Risk Students, Computer Science Education, Undergraduate Students
Anette Bentz; Bernhard Standl – ACM Transactions on Computing Education, 2024
Digital literacy is considered to be crucial for social and professional participation. Hence, several projects have been launched in school, as well as extracurricular activities to promote digital literacy in middle school. They aim, among other things, to increase interest in the so-called STEM subjects (science, technology, engineering, and…
Descriptors: Digital Literacy, Computer Science Education, Extracurricular Activities, Middle School Students
Lezhnina, Olga; Kismihók, Gábor – International Journal of Research & Method in Education, 2022
In our age of big data and growing computational power, versatility in data analysis is important. This study presents a flexible way to combine statistics and machine learning for data analysis of a large-scale educational survey. The authors used statistical and machine learning methods to explore German students' attitudes towards information…
Descriptors: Student Attitudes, Scientific Literacy, Numeracy, Foreign Countries
Kittur, Javeed – IEEE Transactions on Education, 2020
Contribution: This article has shown that self-efficacy in performing complex computer programming tasks and the self-regulation of electrical and electronics engineering undergraduate students varies with respect to the class standing and prior experience in computer programming. Background: Computer programming is an essential skill that all…
Descriptors: Measures (Individuals), Programming, Self Efficacy, Engineering Education
Luik, Piret; Lepp, Marina – International Review of Research in Open and Distributed Learning, 2021
Computer programming MOOCs attract people who have different motivations. Previous studies have hypothesized that the motivation declared before starting the course can be an important predictor of distinctive dropout rates. The aim of this study was to outline the main motivation clusters of participants in a computer programming MOOC, and to…
Descriptors: Student Motivation, Programming, Online Courses, Large Group Instruction
So, Joseph Chi-ho; Wong, Adam Ka-lok; Tsang, Kia Ho-yin; Chan, Ada Pui-ling; Wong, Simon Chi-wang; Chan, Henry C. B. – Journal of Technology and Science Education, 2023
The project presented in this paper aims to formulate a recommendation framework that consolidates the higher education students' particulars such as their academic background, current study and student activity records, their attended higher education institution's expectations of graduate attributes and self-assessment of their own generic…
Descriptors: Pattern Recognition, Artificial Intelligence, Higher Education, College Students
Olipas, Cris Norman P.; Cochanco, Rose Anne G. – Online Submission, 2021
This study aimed at assessing the cognitive determinants of the BSIT students during the second semester of the academic year 2019-2020. A total of three hundred ninety-four (394) respondents participated in this study to understand the relationship of the cognitive determinants to their academic performance in a major programming course. Results…
Descriptors: Information Technology, Cognitive Ability, Programming, Gender Differences

Peer reviewed
Direct link
