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Oscar Karnalim; Simon; William Chivers – Computer Science Education, 2024
Background and Context: To educate students about programming plagiarism and collusion, we introduced an approach that automatically reports how similar a submitted program is to others. However, as most students receive similar feedback, those who engage in plagiarism and collusion might feel inadequately warned. Objective: When students are…
Descriptors: Teaching Methods, Plagiarism, Computer Science Education, Programming
Dawar, Deepak – Journal of Information Systems Education, 2023
For most beginners, learning computer programming is a complex undertaking. Demotivation and learned helplessness have been widely reported. In addition to the subject's complexity, low in-class involvement has been linked to poor student performance. This work introduces a novel instructional technique called Student-Driven Probe Instruction…
Descriptors: Computer Science Education, Programming, Introductory Courses, Teaching Methods
Prokopyev, Mikhail Semenovich; Vlasova, Elena Zotikovna; Tretyakova, Tatyana Vasilyevna; Sorochinsky, Maksim Anatolyevich; Solovyeva, Rimma Alekseyevna – Journal of Educational Psychology - Propositos y Representaciones, 2020
At present, teaching programming to future teachers is superficial or is excluded from computer science curricular. Only programming fundamentals are taught during computer studies, and skills acquired during the training are not applied in practice. The aims of this article are (1) to develop a programming course for teacher training disciplines…
Descriptors: Programming, Computer Science Education, Programming Languages, Teacher Education Programs
Chiang, Feng-kuang; Qin, Lian – Interactive Learning Environments, 2018
This study examined the effects of students' construction of computer-based educational games, using Scratch, on their mathematical equation-solving performance and their attitudes towards learning mathematics with the assistance of technology. A one-group, pretest-posttest quasi-experimental study design, was adopted. A total of 89 seventh grade…
Descriptors: Pilot Projects, Foreign Countries, Grade 7, Educational Games
Hayat, Khizar; Al-Shukaili, Naeem Ali; Sultan, Khalid – Education and Information Technologies, 2017
The success of university-level education depends on the quality of underlying school education and any deficiency therein may be detrimental to a student's career. This may be more glaring with Computer Science education, given its mercurial nature. In the developing countries, the Computer Science school curricula are usually stuffed with…
Descriptors: Computer Science Education, Teaching Methods, Elementary Secondary Education, Programming Languages
Tan, Wee Lum; Venema, Sven; Gonzalez, Ruben – International Association for Development of the Information Society, 2017
Transitioning to university is recognised as a challenging endeavour for commencing students. For commencing Computer Science students specifically, evidence suggests a link between poor performance in introductory technical courses, such as programming, and high attrition rates. Building resilience in students, particularly at the start of their…
Descriptors: College Freshmen, Computer Science Education, Programming, Introductory Courses
Wang, Yanqing; Liang, Yaowen; Liu, Luning; Liu, Ying – Interactive Learning Environments, 2016
Multi-peer assessment has often been used by teachers to reduce personal bias and make the assessment more reliable. This study reviews the design and development of multi-peer assessment systems that detect and solve two common issues in such systems: non-consensus among group members and personal radicalness in some assessments. A multi-peer…
Descriptors: Peer Evaluation, Programming Languages, Computer Science Education, Bias
Becker, Brett A.; Glanville, Graham; Iwashima, Ricardo; McDonnell, Claire; Goslin, Kyle; Mooney, Catherine – Computer Science Education, 2016
Programming is an essential skill that many computing students are expected to master. However, programming can be difficult to learn. Successfully interpreting compiler error messages (CEMs) is crucial for correcting errors and progressing toward success in programming. Yet these messages are often difficult to understand and pose a barrier to…
Descriptors: Computer Science Education, Programming, Novices, Error Patterns