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Showing 1 to 15 of 38 results Save | Export
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Niloofar Mansoor; Cole S. Peterson; Michael D. Dodd; Bonita Sharif – ACM Transactions on Computing Education, 2024
Background and Context: Understanding how a student programmer solves different task types in different programming languages is essential to understanding how we can further improve teaching tools to support students to be industry-ready when they graduate. It also provides insight into students' thought processes in different task types and…
Descriptors: Biofeedback, Eye Movements, Computer Science Education, Programming Languages
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Daniel T. Hickey; Ronald J. Kantor – Journal of Cybersecurity Education, Research and Practice, 2024
The cybersecurity threat landscape evolves quickly, continually, and consequentially. This means that the "transfer" of cybersecurity learning is crucial. We compared how different recognized "cognitive" transfer theories might help explain and synergize three aspects of cybersecurity education. These include "teaching and…
Descriptors: Transfer of Training, Computer Science Education, Computer Security, Metacognition
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David S. Bowers; Mihaela Sabin – Education and Information Technologies, 2024
The skills and competencies of IT professionals are often described using employer-led skills frameworks. They express competencies as technical knowledge and skills combined with a range of personal qualities. Employers have indicated the importance of developing such qualities for new graduates. In response, recent ACM/IEEE curricular…
Descriptors: Information Technology, Bachelors Degrees, Computer Science Education, Career Readiness
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Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
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Morales-Trujillo, Miguel Ehecatl; Galster, Matthias; Gilson, Fabian; Mathews, Moffat – IEEE Transactions on Education, 2022
Background: Peer evaluation in software engineering (SE) project courses enhances the learning experience of students. It also helps instructors monitor and assess both teams and individual students. Peer evaluations might influence the way individual students and teams work; therefore, the quality of the peer evaluations should be tracked through…
Descriptors: Undergraduate Students, Computer Software, Programming, Peer Evaluation
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Nurul Hazlina Noordin; Kamil Khalili Bin Haji Abdullah; Phuah Soon Eu – IEEE Transactions on Education, 2024
Contribution: This study presents an innovative experiential learning model utilizing an educational pico satellite kit as a tool for cultivating digital making skills. The distinct approach showcases a positive impact on students' learning experiences and serves as a motivating force, offering valuable implications for engineering and technical…
Descriptors: Digital Literacy, Skill Development, STEM Education, Instructional Effectiveness
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Zharkynay Yesmakhanova; Yerepbayev Nurlan; Aktolkyn Boranbayeva; Alimbayev Medeu; Galiya Rysbayeva; Nurlybek Omarov – South African Journal of Education, 2024
Educational environments created by combining traditional learning environments and technology have grown, especially in recent years and have become an indispensable part of education. Therefore, with this research we aimed to evaluate students' attitudes towards blended learning. To gather university students' opinions on the effectiveness of…
Descriptors: Evaluation, Student Attitudes, Blended Learning, Computer Science Education
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Prasad, Prajish; Iyer, Sridhar – Research and Practice in Technology Enhanced Learning, 2022
Evaluating a software design is an important practice of expert software designers. They spend significant time evaluating their solution, by developing an integrated mental model of the software design and the requirements. However, sufficient emphasis has not been given on teaching and learning of evaluation practices in software design courses,…
Descriptors: Computer Software, Design, Computer Science Education, Models
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Chrysafiadi, Konstantina; Virvou, Maria; Tsihrintzis, George A.; Hatzilygeroudis, Ioannis – Education and Information Technologies, 2023
Nowadays, the improvement of digital learning with Artificial Intelligence has attracted a lot of research, as it provides solutions for individualized education styles which are independent of place and time. This is particularly the case for computer science, as a tutoring domain, which is rapidly growing and changing and as such, learners need…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science Education, Programming
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Fang, Yu-Shen; Lee, Lung-Sheng – International Journal of Technology and Design Education, 2022
In Taiwan, issues in technology education (TE), such as indeterminate core mission and unclear role, could be addressed through an objective knowledge map of research to discern directions of development and prospects. This study explores sub-fields, genres, characteristics, and trends in TE research in Chinese and English over 24 years through…
Descriptors: Foreign Countries, Technology Education, Educational Research, Educational Trends
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Chiru, Costin-Gabriel; Rebedea, Traian – Creativity Research Journal, 2017
This article proposes a new fully automated method for identifying creativity that is manifested in a divergent task. The task is represented by chat conversations in small groups, each group having to debate on the same topics, with the purpose of better understanding the discussed concepts. The chat conversations were created by undergraduate…
Descriptors: Creativity, Heuristics, Creative Thinking, Undergraduate Students
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Rountree, Janet; Robins, Anthony; Rountree, Nathan – Computer Science Education, 2013
We propose an expanded definition of Threshold Concepts (TCs) that requires the successful acquisition and internalisation not only of knowledge, but also its practical elaboration in the domains of applied strategies and mental models. This richer definition allows us to clarify the relationship between TCs and Fundamental Ideas, and to account…
Descriptors: Fundamental Concepts, Concept Formation, Computer Science Education, Undergraduate Students
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Merrick, K. E. – IEEE Transactions on Education, 2010
This correspondence describes an adaptation of puzzle-based learning to teaching an introductory computer programming course. Students from two offerings of the course--with and without the puzzle-based learning--were surveyed over a two-year period. Empirical results show that the synthesis of puzzle-based learning concepts with existing course…
Descriptors: Introductory Courses, Course Content, Computers, Programming
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Sotirofski, Kseanela; Kukeli, Agim; Kalemi, Edlira – Journal of College Teaching & Learning, 2010
The main objective of our study is to determine the challenges faced during the process of teaching Computer Science in a university of a country in transition and make suggestions to improve this teaching process by perfecting the necessary conditions. Our survey builds on the thesis that we live in an information age; information technology is…
Descriptors: Computer Science Education, Prior Learning, Computers, Information Technology
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Jara, Carlos A.; Candelas, Francisco A.; Puente, Santiago T.; Torres, Fernando – Computers & Education, 2011
Automatics and Robotics subjects are always greatly improved when classroom teaching is supported by adequate laboratory courses and experiments following the "learning by doing" paradigm, which provides students a deep understanding of theoretical lessons. However, expensive equipment and limited time prevent teachers having sufficient…
Descriptors: Undergraduate Students, Teacher Effectiveness, Experiential Learning, Laboratories
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