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Showing 1 to 15 of 65 results Save | Export
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Metin, Sermin; Basaran, Mehmet; Kalyenci, Damla – Pedagogical Research, 2023
The purpose of this research is to examine the coding skills of five-year-old children in terms of some variables. The research sample comprises 160 children aged five years studying in kindergarten affiliated with the Ministry of National Education in Gaziantep city center in the 2021-2022 academic year. As a data collection tool in the research,…
Descriptors: Programming, Kindergarten, Preschool Children, Foreign Countries
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Jiali Zheng; Melissa Duffy; Ge Zhu – Discover Education, 2024
Students in technology majors such as Computer Science and Information Technology need to take a series of computer programming courses to graduate. Yet, not all students will persist in taking programming courses as required, and little is known about the factors influencing their enrollment intentions. Research is needed to better understand…
Descriptors: Computer Science Education, Programming, Predictor Variables, Enrollment
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Lihui Sun; Danhua Zhou – Journal of Computer Assisted Learning, 2024
Background: Integrating programming in K-12 curriculum has become a global consensus. Teachers are central figures in programming instruction. But the majority of current research focuses on teachers' external teaching behaviours and less on teachers' attitudes towards programming. Objectives: The purpose of this study is to validate the K-12…
Descriptors: Foreign Countries, Elementary School Teachers, Secondary School Teachers, Teacher Attitudes
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Liu, Jun; Li, Qingyue; Sun, Xue; Zhu, Ziqi; Xu, Yanhua – Asia Pacific Journal of Education, 2023
Programming self-efficacy plays an important role in promoting interest in programming education among teenagers. Therefore, the purpose of this study was to examine to what extent family socioeconomic status, programming learning, programming teaching, and gender influence programming self-efficacy. A total of 851 upper-secondary-school students…
Descriptors: Programming, Computer Science Education, Self Efficacy, Foreign Countries
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Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
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Gutierrez-Pachas, Daniel A.; Garcia-Zanabria, Germain; Cuadros-Vargas, Alex J.; Camara-Chavez, Guillermo; Poco, Jorge; Gomez-Nieto, Erick – Education Sciences, 2022
Computer science is a dynamic field of study that requires constant review and updating of the curricular designs in academic programs--in general, measuring the impact of plan changes has been little explored in the literature. In most cases, it focuses only on structuring its curricula, leaving aside several factors associated with important…
Descriptors: Curriculum Design, Educational Change, Computer Science Education, Case Studies
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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
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Owan, Valentine Joseph; Asuquo, Michael Ekpenyong – Pedagogical Research, 2021
This research assessed certain socio-demographic variables and how they affect students' satisfaction with the study of ICT in secondary schools. The study adopted a survey research design and was guided by six specific objectives. A total of 4,484 senior secondary school students represented the study's population, while a simple random sampling…
Descriptors: Student Satisfaction, Student Characteristics, Secondary School Students, Socioeconomic Influences
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Karaoglan Yilmaz, Fatma Gizem – Technology, Pedagogy and Education, 2022
The purpose of this study is to examine the effect of student satisfaction on students' engagement and motivation in a mobile-based flipped classroom. A total of 222 university students taking the Computing I course designed as a mobile-based flipped classroom were recruited. Data were collected through three self-report instruments: the…
Descriptors: Flipped Classroom, Learner Engagement, Student Motivation, Student Satisfaction
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Avcu, Yunus Emre; Ayverdi, Leyla – International Journal of Educational Methodology, 2020
The study's goal was to examine the correlation between the computer programming self-efficacy and computational thinking skills of gifted and talented students. The capacity of the computer programming self-efficacy of gifted and talented students to predict their computational thinking skills were also examined. The relational screening model…
Descriptors: Programming, Self Efficacy, Thinking Skills, Correlation
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Günbatar, Mustafa Serkan – International Journal of Computer Science Education in Schools, 2020
The purpose of this research is to examine Computational Thinking (CT) skills, Computer Programming Self-Efficacy (CPSE), and Computer Programming Attitude (CPA) of middle school students who took the Information Technologies & Software (IT&S) courses and those who did not, and make various analyses according to the relationships between…
Descriptors: Thinking Skills, Self Efficacy, Programming, Computer Science Education
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Kokoç, Mehmet; Kara, Mehmet – Educational Technology & Society, 2021
The purposes of the two studies reported in this research are to adapt and validate the instrument of the Evaluation Framework for Learning Analytics (EFLA) for learners into the Turkish context, and to examine how metacognitive and behavioral factors predict learner performance. Study 1 was conducted with 83 online learners enrolled in a 16-week…
Descriptors: Learning Analytics, Electronic Learning, Measures (Individuals), Test Validity
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Alvarez, Niurys Lázaro; Callejas, Zoraida; Griol, David – Journal of Technology and Science Education, 2020
We present an educational data analytics case study aimed at the early detection of potential dropout in Computer Engineering studies in Cuba. We have employed institutional data of 456 students and performed several experiments for predicting their permanency into three (promotion, repetition, and dropout) or two classes (promoting, not…
Descriptors: Foreign Countries, College Students, Computer Science Education, Engineering Education
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Durak, Hatice Yildiz – Journal of Educational Computing Research, 2020
Learning the basic concepts of programming and its foundations is considered as a challenging task for students to figure out. It is a challenging process for lecturers to learn these concepts, as well. The current literature on programming training abounds with the examples of a wide range of methods employed. Within this context, one of the…
Descriptors: Educational Technology, Technology Uses in Education, Programming, Teaching Methods
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Öz, Recep – Journal of Education and Learning, 2021
The purpose of the study was to analyze the life quality of CEIT (Computer Education and Instructional Technologies) students according to their perception of gender, age, health status and level of income. The data were collected from the students studying at the third and fourth grades in CEIT undergraduate programs of Education Faculties…
Descriptors: Quality of Life, Undergraduate Students, Student Attitudes, Computer Science Education
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