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Dan Sun; Fan Xu – Journal of Educational Computing Research, 2025
Real-time collaborative programming (RCP), which allows multiple programmers to work concurrently on the same codebase with changes instantly visible to all participants, has garnered considerable popularity in higher education. Despite this trend, little work has rigorously examined how undergraduates engage in collaborative programming when…
Descriptors: Cooperative Learning, Programming, Computer Science Education, Undergraduate Students
Erkan Er; Gökhan Akçapinar; Alper Bayazit; Omid Noroozi; Seyyed Kazem Banihashem – British Journal of Educational Technology, 2025
Despite the growing research interest in the use of large language models for feedback provision, it still remains unknown how students perceive and use AI-generated feedback compared to instructor feedback in authentic settings. To address this gap, this study compared instructor and AI-generated feedback in a Java programming course through an…
Descriptors: Student Evaluation, Student Attitudes, Feedback (Response), Artificial Intelligence
Jaroslaw Pawel Adamiak – Open Praxis, 2024
The academic success of first-year students' learning in science faculties is by no means assured, especially in an Open Distance Learning setting with its limited number of face-to-face encounters between students and lecturers or tutors. Therefore, such encounters should be highly efficient in view of the considerable amount of knowledge…
Descriptors: Fundamental Concepts, Teaching Methods, Computer Science Education, Open Education
Margulieux, Lauren; Parker, Miranda C.; Cetin Uzun, Gozde; Cohen, Jonathan D. – Journal of Technology and Teacher Education, 2023
Educators across disciplines are implementing lessons and activities that integrate computing concepts into their curriculum to broaden participation in computing. Out of myriad important introductory computing skills, it is unknown which--and to what extent--these concepts are included in these integrated experiences, especially when compared to…
Descriptors: Programming, Programming Languages, Computer Science Education, Age Differences
Picones, Gio; PaaBen, Benjamin; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2022
In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…
Descriptors: Prediction, Academic Achievement, Learning Analytics, Concept Mapping
Xing, Wanli – Interactive Learning Environments, 2021
Previous research has invested much effort in understanding how programming can contribute to the development of young learners' computational thinking (CT) in traditional K-12 classroom settings. Relatively few studies have examined programming for CT in informal online communities, especially for large scale quantitative research. With the…
Descriptors: Programming, Thinking Skills, Computation, Programming Languages
Orr, J. Walker; Russell, Nathaniel – International Educational Data Mining Society, 2021
The assessment of program functionality can generally be accomplished with straight-forward unit tests. However, assessing the design quality of a program is a much more difficult and nuanced problem. Design quality is an important consideration since it affects the readability and maintainability of programs. Assessing design quality and giving…
Descriptors: Programming Languages, Feedback (Response), Units of Study, Computer Science Education
Cárdenas-Cobo, Jesennia; Puris, Amilkar; Novoa-Hernández, Pavel; Galindo, José Angel; Benavides, David – IEEE Transactions on Learning Technologies, 2020
Learning computer programming is a challenging process. Among the current approaches for overcoming this challenge, visual programming languages (VPLs), such as Scratch, have shown very promising results for beginners. Interestingly, some higher education institutions have started to use VPLs to introduce basic programming concepts, mainly in CS1…
Descriptors: Computer Science Education, Programming, Programming Languages, Teaching Methods
Arslan, Esra; Isbulan, Onur – Malaysian Online Journal of Educational Technology, 2021
In this research, the effects of individual and teamwork activities on perceptions of block-based programming self-efficacy and attitudes towards robotic programming tried to be determined. The research has conducted in a private school located in Sariyer, district of Istanbul province in the 2nd academic year of 2018-2019 with 32 students from…
Descriptors: Computer Science Education, Programming Languages, Robotics, Individual Instruction
Ma, Yingbo; Katuka, Gloria Ashiya; Celepkolu, Mehmet; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2022
Collaborative learning is a complex process during which two or more learners exchange opinions, construct shared knowledge, and solve problems together. While engaging in this interactive process, learners' satisfaction toward their partners plays a crucial role in defining the success of the collaboration. If intelligent systems could predict…
Descriptors: Middle School Students, Cooperative Learning, Prediction, Peer Relationship
Shaw, Ruey-Shiang – Journal of Educational Computing Research, 2019
This study focused on the relationships between knowledge mapping construction methods and learning performance. The different knowledge mapping methods (by experts vs. by self-learners) were assumed to achieve different learning performance levels. The results of this study show that neither different knowledge map construction methods nor…
Descriptors: Cognitive Style, Programming Languages, Correlation, Cognitive Mapping
de Ruiter, Laura E.; Bers, Marina U. – Computer Science Education, 2022
Background and Context: Despite the increasing implementation of coding in early curricula, there are few valid and reliable assessments of coding abilities for young children. This impedes studying learning outcomes and the development and evaluation of curricula. Objective: Developing and validating a new instrument for assessing young…
Descriptors: Programming Languages, Computer Software, Coding, Computer Science Education
Olelewe, Chijioke Jonathan; Agomuo, Emmanuel E.; Obichukwu, Peter Uzochukwu – Education and Information Technologies, 2019
Achieving learner engagement in the teaching and learning process is paramount towards ensuring knowledge retention in QBASIC programming. This study focuses on effects of b-learning and face-to-face (F2F) on college students' engagement and retention in QBASIC programming. The study adopted quasi-experimental design with non-equivalent group…
Descriptors: College Students, Learner Engagement, Retention (Psychology), Programming
Boldbaatar, Nomin; Sendurur, Emine – Journal of Educational Computing Research, 2019
The emergence of block-based environments aims to facilitate the problems caused by the abstractness of text-based languages. Recent studies generally focus on the effect of having block-based experience on programming education. This study is an attempt to observe the transfer of previous programming experiences (block-based vs. text-based) into…
Descriptors: Educational Games, Computer Games, Computer Simulation, Computer Software
Costa, Joana Martinho; Miranda, Guilhermina Lobato – Informatics in Education, 2019
This paper presents an approach to the initial programming learning using the four components instructional model and the Alice software. The quasi-experimental design was developed with two groups of students that attended two schools with very different socioeconomic status and school retention levels. The differences obtained in the mean of the…
Descriptors: Computer Software, Instructional Design, Models, Programming
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