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Paschoal, Leo Natan; Melo, Silvana Morita; Neves, Vânia de Oliveira; Conte, Tayana Uchôa; Souza, Simone do Rocio Senger de – Informatics in Education, 2023
Nowadays, few professionals understand the techniques and testing criteria to systematize the software testing activity in the software industry. Towards shedding some light on such problems and promoting software testing, professors in the area have established Massive Open Online Courses as educational initiatives. However, the main limitation…
Descriptors: Computer Science Education, Computer Software, College Faculty, MOOCs
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Cheers, Hayden; Lin, Yuqing; Yan, Weigen – Informatics in Education, 2023
Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, most of these tools only measure the similarity between assignment submissions, and do not actually identify which are suspicious of plagiarism. This work…
Descriptors: Plagiarism, Assignments, Computer Software, Computer Science Education
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Oliveira, Leonam Cordeiro de; Guerino, Guilherme Corredato; Oliveira, Leander Cordeiro de; Pimentel, Andrey Ricardo – Informatics in Education, 2023
Industry 4.0 technologies are being applied in the teaching and learning process, called Education 4.0. However, there is no specification of what is being considered when developing technologies for education in the 4.0 context. Therefore, we performed a Systematic Mapping Study to investigate the information and communication technologies (ICTs)…
Descriptors: Computer Software, Teaching Methods, Learning Processes, Information Technology
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Prates, Jorge Marques; Melo, Silvana Morita; Valle, Pedro Henrique Dias; Garcia, Rogério Eduardo; Maldonado, José Carlos – Informatics in Education, 2023
Nowadays, SPOCs (Small Private Online Courses) have been used as complementary methods to support classroom teaching. SPOCs are courses that apply the usage of MOOCs (Massive Open Online Courses), combining classroom with online education, making them an exciting alternative for contexts such as emergency remote teaching. Although SPOCs have been…
Descriptors: Computer Software, Computer Science Education, COVID-19, Pandemics
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Garcia, Fabrício Wickey da Silva; Oliveira, Sandro Ronaldo Bezerra; Carvalho, Elielton da Costa – Informatics in Education, 2023
The contents taught in the programming subjects have a great relevance in the formation of computing students. However, these subjects are characterized by high failure rates, as they require logical reasoning and mathematical knowledge. Thus, establishing knowledge through the subject of algorithms can help students to overcome these difficulties…
Descriptors: Teaching Methods, Algorithms, Undergraduate Students, Computer Science Education
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Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Informatics in Education, 2023
Prior programming knowledge of students has a major impact on introductory programming courses. Those with prior experience often seem to breeze through the course. Those without prior experience see others breeze through the course and disengage from the material or drop out. The purpose of this study is to demonstrate that novice student…
Descriptors: Prior Learning, Programming, Computer Science Education, Markov Processes
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Armoni, Michal; Gal-Ezer, Judith – Informatics in Education, 2023
In a previous publication we examined the connections between high-school computer science (CS) and computing higher education. The results were promising -- students who were exposed to computing in high school were more likely to take one of the computing disciplines. However, these correlations were not necessarily causal. Possibly those…
Descriptors: High School Students, Computer Science Education, Correlation, Higher Education
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Grobelina, Iwona; Mazurkiewicz, Malgorzata; Janus, Damian – Informatics in Education, 2023
Background: Petri nets are a formal specification technique for modelling of control processes and modern flexible manufacturing systems. Interpreted Petri nets take into account input and output signals, allowing to apply them in any control system or even in control part of a cyber-physical system. Due to the fact that Petri nets are not used in…
Descriptors: Game Based Learning, Video Games, College Students, Student Attitudes
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Malgorzata Charytanowicz – Informatics in Education, 2023
Nowadays, the rapid development of ICT has brought more flexible forms that push the boundaries of classic teaching methodology. This paper is an analysis of online teaching and learning forced by the COVID-19 pandemic, as compared with traditional education approaches. In this regard, we assessed the performance of students studying in the…
Descriptors: Teaching Methods, Electronic Learning, COVID-19, Pandemics
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Christina Kyriakou; Agoritsa Gogoulou; Maria Grigoriadou – Informatics in Education, 2023
This paper presents an educational setting that attempts to enhance students' understanding and facilitate students' linking-inferencing skills. The proposed setting is structured in three stages. The first stage intends to explore students' prior knowledge. The second stage aims to help students tackle their difficulties and misconceptions and…
Descriptors: Thinking Skills, Inferences, Computer Science Education, Computer System Design
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Felipe A. Feichas; Rodrigo D. Seabra – Informatics in Education, 2023
This research discusses the use of a gamified web platform for studying software modeling with Unified Modeling Language (UML). Although UML is constantly being improved and studied, many works show that there is difficulty in teaching and learning the subject, due to the complexity of its concepts and the students' cognitive difficulties with…
Descriptors: Gamification, Computer Software, Models, Teaching Methods
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Erkki Kaila; Kjell Lemström – Informatics in Education, 2023
Massive Open Online Courses (MOOCs) have become hugely popular recently. MOOCs can offer high-quality education for anyone interested and equalize the whole education field. Still, there are different methodologies for running MOOCs. Coming up with the most suitable methodology benefits both students and teachers. In this study, we have limited…
Descriptors: MOOCs, Scheduling, Programming Languages, Programming
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Sara Genut; Yifat Ben-David Kolikant – Informatics in Education, 2023
Programs in bioinformatics, offered in many academic institutes, are assumed to expand women's representation in computer science (CS). Women's enrolment in these programs is high. Our questions are: Do these programs attract different women from those attracted to CS programs? What factors underlie women's decision to enroll in bioinformatics…
Descriptors: Biology, Information Science, Computer Science Education, Disproportionate Representation
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Antti-Jussi Lakanen; Ville Isomöttönen – Informatics in Education, 2023
This research investigates university students' success in their first programming course (CS1) in relation to their motivation, mathematical ability, programming self-efficacy, and initial goal setting. To our knowledge, these constructs have not been measured in a single study before in the Finnish context. The selection of the constructs is in…
Descriptors: Foreign Countries, College Students, Student Motivation, Self Efficacy
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Gorjan Nadzinski; Branislav Gerazov; Stefan Zlatinov; Tomislav Kartalov; Marija Markovska Dimitrovska; Hristijan Gjoreski; Risto Chavdarov; Zivko Kokolanski; Igor Atanasov; Jelena Horstmann; Uros Sterle; Matjaz Gams – Informatics in Education, 2023
With the development of technology allowing for a rapid expansion of data science and machine learning in our everyday lives, a significant gap is forming in the global job market where the demand for qualified workers in these fields cannot be properly satisfied. This worrying trend calls for an immediate action in education, where these skills…
Descriptors: Data Science, Artificial Intelligence, Man Machine Systems, Vocational Education
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