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Lin, Yen-Ting – Educational Technology & Society, 2023
The aim of software engineering education is to educate students in software technologies, developments, procedures, and scientific practices to enable them to cope with industrial demands. However, the implementation of software engineering education in traditional university classrooms is restricted by the semester structure, making it difficult…
Descriptors: Academic Achievement, Electronic Books, Flipped Classroom, Computer Software
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Yuwamon Prasretsung; Naruemon Thepnuan; Duangkamol Kaewdaeng – Turkish Online Journal of Educational Technology - TOJET, 2024
The objectives of this research were to: 1) develop online lessons with the Google Classroom application on computer system operation for secondary 2 (Grade 8) students; 2) study pre-test and post-test academic achievement; and 3) study the students' satisfaction with the online lessons with the Google Classroom application on computer system…
Descriptors: Computer Software, Electronic Learning, Computers, Curriculum Development
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Thomas, Paul J.; Patel, Devang; Magana, Alejandra J. – ACM Transactions on Computing Education, 2021
Software modeling is an integral practice for software engineers, especially as the complexity of software solutions increases. Unified Modeling Language (UML) is the industry standard for software modeling. however, it is often used incorrectly and misunderstood by novice software designers. This study is centered around understanding patterns of…
Descriptors: Computer Science Education, Models, Computer Software, Programming Languages
Thomas, Paul JoseKutty – ProQuest LLC, 2021
Software modeling is an integral practice for software engineers especially as the complexity of software solutions increase. There is precedent in industry to model information systems in terms of functions, structures, and behaviors. While constructing these models, abstraction and systems thinking are employed to determine elements essential to…
Descriptors: Computer Science Education, Programming Languages, Academic Achievement, College Students
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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
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Gupta, Chetna – IEEE Transactions on Education, 2022
Contribution: This article demonstrates the impact of today's Information and Communication Technologies (ICT) in teaching software engineering (SE) course with design-based learning (DBL) and project-based learning (PBL). The results show a positive influence of integration of DBL and PBL in reducing industry gaps with improved student…
Descriptors: Computer Software, Computer Science Education, Information Technology, Active Learning
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Mamedova, Larisa; Rukovich, Alexander; Likhouzova, Tetiana; Vorona-Slivinskaya, Lubov – Education and Information Technologies, 2023
The World Health Organization announced the COVID-19 pandemic, which led to considerable disruption of the global education system and required an early adaptation of the educational process. In addition to the resumption of the educational process, it was necessary to preserve the academic performance of students of higher educational…
Descriptors: Academic Achievement, Engineering Education, Chemistry, Foreign Countries
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Jimenez, Fernando; Paoletti, Alessia; Sanchez, Gracia; Sciavicco, Guido – IEEE Transactions on Learning Technologies, 2019
In the European academic systems, the public funding to single universities depends on many factors, which are periodically evaluated. One of such factors is the rate of success, that is, the rate of students that do complete their course of study. At many levels, therefore, there is an increasing interest in being able to predict the risk that a…
Descriptors: Prediction, Risk, Dropouts, College Students
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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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Chen, Yuh-Tyng; Liou, Shyhnan; Chen, Sheau-Ming – Interactive Learning Environments, 2021
Procedural knowledge learning focuses on integrating theory with practice; however, time and pace are the main critical issues. In response, this study proposes a flipped classroom approach based on the Bandura's [1986. The explanatory and predictive scope of self-efficacy theory. "Journal of Social and Clinical Psychology,"…
Descriptors: Flipped Classroom, Computer Science Education, Computer Software, College Students
Mihci, C.; Satici, A. F. – Online Submission, 2020
Computers are problem-solving tools at heart. Without an operating system though, they would be rendered useless. Most computer users are unaware of the inherent capabilities of the bare OS and the problems it can solve for them. This comes naturally in an era of commercialized solutions in the form of apps and software packages. However, gaining…
Descriptors: Web Based Instruction, Problem Solving, Problem Based Learning, Computer Science Education
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Corritore, Cynthia; Love, Betty – Journal of Information Technology Education: Innovations in Practice, 2020
Aim/Purpose: This study reports the outcome of how a first pilot semester introductory programming course was designed to provide tangible evidence in support of the concept of Student Ownership of Learning (SOL) and how the outcomes of this programming course facilitate effective student learning. Background: Many instructors want to create or…
Descriptors: Introductory Courses, Programming, Computer Science Education, Management Information Systems
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Demir Kaymak, Zeliha; Akgün, Özcan Erkan – Malaysian Online Journal of Educational Technology, 2019
The purpose of this research is to investigate the effects of using cloud computing technologies, study type and task difficulty on cognitive load and students' performance. The research was conducted as 2x2x2 complex mixed design. The two experiment groups are the first factor of design. In the first experiment group students used non…
Descriptors: Cognitive Ability, Computer Software, Task Analysis, Difficulty Level
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Holenko Dlab, Martina; Candrlic, Sanja; Pavlic, Mile – Journal of Information Technology Education: Innovations in Practice, 2021
Aim/Purpose: During the education of future engineers and experts in the field of computer science and information communication technology, the achievement of learning outcomes related to different levels of cognitive ability and knowledge dimensions can be a challenge. Background: Teachers need to design an appropriate set of activities for…
Descriptors: Undergraduate Students, Computer Science Education, Engineering Education, Formative Evaluation
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Marimuthu, Mudaray; Kumar, Deepak; Chhagan, Mishaan – African Journal of Research in Mathematics, Science and Technology Education, 2020
Software is a vital resource for modern life. For software to be successful, programming skills are of the utmost importance. These skills are used both by programmers and also by systems analysts and designers during the phases of software development. Therefore, both technical and non-technical stakeholders within the software development…
Descriptors: Computer Science Education, Business Administration Education, Computer Software, Programming
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