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Ishihara, Makio; Rattanachinalai, Pongpun – Education and Information Technologies, 2022
This paper designs and develops a computer programming learning system for total beginners and those who have no programming experience. The traditional computer programming learning systems require prior knowledge about variables, their types, operators for arithmetic calculations and relational calculations etc., for adopting a wide range of…
Descriptors: Computer Science Education, Programming, Novices, Task Analysis
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Jiang, Bo; Zhao, Wei; Zhang, Nuan; Qiu, Feiyue – Interactive Learning Environments, 2022
Block-based programing languages (BBPL) provide effective scaffolding for K-12 students to learn computational thinking. However, the output-based assessment in BBPL learning is insufficient as we can not understand how students learn and what mistakes they have had. This study aims to propose a data-driven method that provides insight into…
Descriptors: Programming Languages, Computer Science Education, Problem Solving, Game Based Learning
Lee, Heesuk – ProQuest LLC, 2022
Many organizations are providing employee training to raise security awareness as data breaches increase. Organizational digital transformation has accelerated, especially during the COVID-19 outbreak. It has made the technology industry a prime target for cyberattacks. Although more organizations invest in cybersecurity training, data breaches…
Descriptors: Information Technology, Information Security, Employee Attitudes, Knowledge Level
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Almotairi, Maram; Fkih, Fethi – Journal of Education and e-Learning Research, 2022
The Question answering (QA) system plays a basic role in the acquisition of information and the e-learning environment is considered to be the field that is most in need of the question-answering system to help learners ask questions in natural language and get answers in short periods of time. The main problem in this context is how to understand…
Descriptors: Semantics, Natural Language Processing, Intelligent Tutoring Systems, Ambiguity (Semantics)
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Mohanarajah, Selvarajah; Sritharan, Thambithurai – Journal of Information Technology Education: Research, 2022
Aim/Purpose: The key objective of this research is to examine whether fix-and-play educational games improve students' performance in learning programming languages. We also quantified the flow experiences of the students and analyzed how the flow contributes to their academic performances. Background: Traditionally, learning the first computer…
Descriptors: Game Based Learning, Educational Games, Programming, Learner Engagement
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Akkaya, Ali; Akpinar, Yavuz – Computer Science Education, 2022
Background and Context: Though still a nascent area of research, serious games have been presented as means of engaging students in computer programming and computational thinking due to their immersive and interactive nature. Existing research is limited in its ability to provide systems based on sound instructional design models, and only a few…
Descriptors: Experiential Learning, Educational Games, Instructional Design, Programming
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Jiang, Shiyan; Nocera, Amato; Tatar, Cansu; Yoder, Michael Miller; Chao, Jie; Wiedemann, Kenia; Finzer, William; Rosé, Carolyn P. – British Journal of Educational Technology, 2022
To date, many AI initiatives (eg, AI4K12, CS for All) developed standards and frameworks as guidance for educators to create accessible and engaging Artificial Intelligence (AI) learning experiences for K-12 students. These efforts revealed a significant need to prepare youth to gain a fundamental understanding of how intelligence is created,…
Descriptors: High School Students, Data, Artificial Intelligence, Mathematical Models
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Babik, Dmytro; Babik, Iryna – Journal of Information Systems Education, 2022
Successful development of an information system to solve a business problem depends on the analyst's ability to elicit system requirements from a user. This complex competency could be trained via critical peer evaluation of the requirements elicitation (RE) interviews. In this study, 294 students across four pre-pandemic and two COVID-19…
Descriptors: Peer Evaluation, COVID-19, Pandemics, Information Systems
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Özdinç, Fatih; Kaya, Gökhan; Mumcu, Filiz; Yildiz, Bahadir – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2022
STEM and computer science (CS) education are some of the most important research topics of the last decade. The idea that CS should be a part of STEM is becoming more and more common. The most important goals of integrating CS into STEM are to develop students' computational thinking (CT) and problem-solving skills. STEM education creates a…
Descriptors: Teachers, STEM Education, Computer Science Education, Integrated Activities
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Dagli, Zerrin; Sancar Tokmak, Hatice – Journal of Research on Technology in Education, 2022
The importance of developing individuals' computational thinking (CT) skills has given rise to many practices and research and development initiatives. Although there is a considerable volume of research on improving students' CT skills, remarkably little is known about teachers' design work to improve students' CT skills. This multiple case study…
Descriptors: High School Teachers, Computation, Thinking Skills, High School Students
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Reynolds, Todd; Burrows, Andrea C.; Borowczak, Mike – SAGE Open, 2022
For 2 weeks in the summer of 2018, K-12 STEM teachers (n = 40) attended a professional development (PD) that included four sessions focused on computer science modeling with follow-up academic year sessions; however, overall, the teachers did not meet expectations about what modeling means or how to utilize it. To examine why, the authors looked…
Descriptors: Elementary Secondary Education, Teachers, STEM Education, Faculty Development
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Jenkins, Brian C. – Journal of Economic Education, 2022
The author of this article describes a new undergraduate course where students use Python programming for macroeconomic data analysis and modeling. Students develop basic familiarity with dynamic optimization and simulating linear dynamic models, basic stochastic processes, real business cycle models, and New Keynesian business cycle models.…
Descriptors: Undergraduate Students, Programming Languages, Macroeconomics, Familiarity
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Neutens, Tom; Coolsaet, Kris; Wyffels, Francis – ACM Transactions on Computing Education, 2022
In many countries, computer programming is becoming an integral part of the secondary school curriculum. However, many teachers, especially in the first years of Flemish secondary school, have limited experience with teaching programming. To improve their knowledge about programming, many different types of professional development programs have…
Descriptors: Foreign Countries, Secondary School Curriculum, Computer Science Education, Programming
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Kao, Yvonne; Matlen, Bryan; Weintrop, David – ACM Transactions on Computing Education, 2022
The 1980s and 1990s saw a robust connection between computer science education and cognitive psychology as researchers worked to understand how students learn to program. More recently, academic disciplines such as science and engineering have begun drawing on cognitive psychology research and theories of learning to create instructional materials…
Descriptors: Computer Science Education, Cognitive Psychology, Transfer of Training, Programming
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Ahn, Junghyun; Sung, Woonhee; Black, John B. – Journal of Research in Childhood Education, 2022
Despite increased interest in integrating programming education into K-12 programs, there is a lack of studies on teaching debugging to younger age groups. Therefore, this study proposes practical design components for designing unplugged debugging tasks that affect young learners' debugging performance, problem-solving, and self-efficacy,…
Descriptors: Programming, Computer Science Education, Learning Activities, Elementary School Students
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