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Showing 1 to 15 of 79 results Save | Export
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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
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Pala, Ferhat Kadir; Mihci Türker, Pinar – Interactive Learning Environments, 2021
In this study, the effects of Arduino IDE and C++ programming languages were investigated on the computational thinking skills of preservice teachers. The Computational Thinking Skills Scale was administered to preservice teachers. Firstly, a basic programming training was given and then it was asked to create group projects on a voluntary basis.…
Descriptors: Programming, Computer Science Education, Computation, Thinking Skills
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Kovari, Attila; Katona, Jozsef – Education and Information Technologies, 2023
Negative attitudes and perceptions on programming impair the effectiveness of learning programming skills. In this study the attitude related to programming, problem solving, and self-views on importance of IT/programming knowledge were assessed by pre- and post-test completed at the beginning and at the end of a software development course. The…
Descriptors: Computer Software, Programming, Self Efficacy, Problem Solving
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Gutiérrez-Cárdenas, Juan – Journal of Information Systems Education, 2020
In the current literature, there is limited evidence of the effects of teaching programming languages using two different paradigms concurrently. In this paper, we present our experience in using a multiparadigm and multiprogramming approach for an Introduction to Programming course. The multiparadigm element consisted of teaching the imperative…
Descriptors: Information Systems, Programming, Computer Science Education, Introductory Courses
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Yildiz Durak, Hatice – Technology, Knowledge and Learning, 2020
The aim of this research is to determine the effects of Scratch and Alice tools and programming teaching practices on student engagement, reflective thinking and problem-solving skills and computational thinking (CT) comparatively. A quasi-experimental design was used in the research and patterns with pretest-posttest control group were chosen for…
Descriptors: Secondary School Students, Computer Science Education, Programming, Programming Languages
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Cam, Emre; Kiyici, Mubin – Journal of Educational Technology and Online Learning, 2022
Because of their traditional programming structures that have user-hostile interfaces and complicated syntax, programming languages education doesn't catch students' attention and most of them find programming difficult and consider it as a job that only professionals can do. In order to minimalize the difficulty and drawback and help students…
Descriptors: Robotics, Programming, Problem Solving, Student Motivation
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Erümit, Ali Kürsat – Education and Information Technologies, 2020
Purpose of this study is determined effects of different teaching approaches on programming skills. Therefore, the effect of three different types of activities prepared with Scratch on 423 sixth grade students' attitudes towards computer technologies, algorithmic thinking skills and reflective thinking skills on problem solving were investigated.…
Descriptors: Teaching Methods, Instructional Effectiveness, Programming, Programming Languages
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Dagyeom Lee; Youngjun Lee – Informatics in Education, 2024
As our society has advanced in the era of digital transformation, education has been transformed from knowledge-centered to competency-centered to solve future problems in the light of unpredictable changes and events in our lives. Programming education provides the basic knowledge needed, and fosters higher-order thinking skills in the process of…
Descriptors: Problem Solving, Computer Science Education, Programming, Thinking Skills
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Xin Gong; Zhixia Li; Ailing Qiao – Education and Information Technologies, 2025
Feedback is crucial during programming problem solving, but context often lacks critical and difference. Generative artificial intelligence dialogic feedback (GenAIDF) has the potential to enhance learners' experience through dialogue, but its effectiveness remains sufficiently underexplored in empirical research. This study employed a rigorous…
Descriptors: Artificial Intelligence, Technology Uses in Education, Dialogs (Language), Feedback (Response)
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Minji Jeon; Kyungbin Kwon – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study investigated the computational thinking (CT) practices of eight pre-service teachers through their Scratch and Python programs. Conducted within an undergraduate-level computer science education course, students learned CT concepts via parallel instruction in block-based programming (Scratch) and text-based programming (Python). The…
Descriptors: Preservice Teacher Education, Preservice Teachers, Computation, Cognitive Processes
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Haipeng Wan; Xue Zhang; Xinxue Yang; Shan Li – Education and Information Technologies, 2024
This study investigated the impact of problematization-oriented scaffolding and structuring-oriented scaffolding, incorporated within instructional videos, on students' computational thinking and their performance in programming education. We recruited 86 participants from three senior classes at a high school. Each of the three classes was…
Descriptors: Scaffolding (Teaching Technique), Instructional Design, Thinking Skills, Computer Science Education
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Zebel-Al Tareq; Raja Jamilah Raja Yusof – IEEE Transactions on Education, 2024
Contribution: A problem-solving approach (PSA) model derived from major computational thinking (CT) concepts. This model can be utilized to formulate solutions for different algorithmic problems and translate them into effective active learning methods. Background: Different teaching approaches for programming are widely available; however, being…
Descriptors: Models, Problem Solving, Computation, Thinking Skills
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Prasad, Alvin; Chaudhary, Kaylash; Sharma, Bibhya – Education and Information Technologies, 2022
As a novice, learning computer programming is challenging. It requires learners to be inquisitive and acquire skills to analyze problems to get to solutions critically. Unfortunately, students drop out of programming courses because students think that programming is difficult to understand. The student's understanding of the problem definition is…
Descriptors: Programming, Computer Science Education, Skill Development, Computer Literacy
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Jiang, Bo; Wu, Simin; Yin, Chengjiu; Zhang, Haifeng – IEEE Transactions on Learning Technologies, 2020
Accurately tracing the state of learner knowledge contributes to providing high-quality intelligent support for computer-supported programming learning. However, knowledge tracing is difficult when learners have only had a few practice opportunities, which is often common in block-based programming. This article proposed two knowledge tracing…
Descriptors: Programming, Computer Assisted Instruction, Problem Solving, Task Analysis
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Ramírez-Donoso, Luis; Pérez-Sanagustín, Mar; Neyem, Andrés; Alario-Hoyos, Carlos; Hilliger, Isabel; Rojos, Felipe – Interactive Learning Environments, 2023
Over the past years, higher education institutions have been exploring different mechanisms to adapt their learning and teaching practices to increase students' engagement. One of the proposals has been to reuse Massive Online Open Courses (MOOCs) as Small Online Private Courses (SPOCs), or as complementary resources in traditional courses through…
Descriptors: Technology Uses in Education, Electronic Learning, Cooperative Learning, Gamification
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