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Mike, Koby; Hazzan, Orit – IEEE Transactions on Education, 2023
Contribution: This article presents evidence that electrical engineering, computer science, and data science students, participating in introduction to machine learning (ML) courses, fail to interpret the performance of ML algorithms correctly, since they fail to consider the application domain. This phenomenon is referred to as the domain neglect…
Descriptors: Engineering Education, Computer Science Education, Data Science, Introductory Courses
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Kuo, Yu-Chen; Lin, Yu-Hsuan; Wang, Tao-Hua; Lin, Hao-Chiang Koong; Chen, Ju-I; Huang, Yueh-Min – Innovations in Education and Teaching International, 2023
Flipped classroom is one of the important teaching modes among many novel teaching methods in recent years, students watch the video in the pre-class. However, if students cannot focus on the pre-class video learning or have problems with the learning content, the learning effect will be less than expected. Therefore, this research proposes a…
Descriptors: Instructional Effectiveness, Flipped Classroom, Teaching Methods, Programming
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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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Mingli Han – International Society for Technology, Education, and Science, 2023
Teaching robotics courses online is challenging due to the complexity of the interdisciplinary topics involved. One of the most challenging topics is 3D coordinate transformations. Students often struggle to grasp the concept of 3D coordinate transformations and their relevance to real-world robotic applications. This paper applies the Scholarship…
Descriptors: Self Evaluation (Individuals), Robotics, Assignments, Computer Software
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Dolores D. Lopez; Susan Yonezawa; Seaera Juarez; Ericka Tapia – Journal of Research on Technology in Education, 2025
Multilingual learners, also known as English learners (ELs), are underrepresented in K-12 computer science (CS) courses, where they often struggle. This paper demonstrates how a Computer Science for English Learners (CSforEL) professional development (PD) program supported Advanced Placement CS Principles (APCSP) teachers in attending to both…
Descriptors: Computer Science Education, English Learners, Advanced Placement, Faculty Development
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Eloho Ifinedo; Diane Burt – Journal of Applied Research in Higher Education, 2025
Purpose: Service-learning (SL) is a widely accepted pedagogy that can enrich the learning experience for students in higher education while they apply their skills in a meaningful community service. This research is part of a larger project that aimed to motivate educational achievement among youths living in a priority neighborhood through SL.…
Descriptors: Service Learning, Information Technology, Computer Science Education, Community Centers
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Maria Shaheen; Lauren Loquasto – Dimensions of Early Childhood, 2025
When thinking of early childhood STEM, images of active, play-based design challenges, experiences with robotics/coding, or hands-on experiences with open-ended materials (e.g., balls, ramps, loose parts) often come to mind. While these are certainly images that align with developmentally appropriate early childhood STEM practices, some of the…
Descriptors: Robotics, Values Education, Teaching Methods, Early Childhood Education
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Dwi Fitria Al Husaeni; Isma Widiaty; Budi Mulyanti; Ade Gafar Abdullah; Lala Septem Riza; Amay Suherman; Dwi Novia Al Husaeni – Informatics in Education, 2025
This study aims to provide a descriptive and bibliometric analysis of the trend of artificial intelligence (AI) application in the development of computational thinking (CT) skills in publications from 2007 to 2024. A total of 191 articles were obtained from Scopus database with certain keywords, and analyzed using Biblioshiny and VOSviewer. The…
Descriptors: Artificial Intelligence, Trend Analysis, Bibliometrics, Thinking Skills
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Lauren Hays; Jenna Kammer – Advocate, 2021
Previous research has indicated that many K-12 computer science teachers do not have a background in computer science education. This means, computer science teachers are not necessarily using established habits of mind they learned from their own studies. The purpose of this study is to understand more about the habits of mind needed by computer…
Descriptors: Teaching Methods, Computer Science Education, Thinking Skills, Study Habits
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Anne-Kathrin Peters; Rafael Capilla; Vlad Constantin Coroama; Rogardt Heldal; Patricia Lago; Ola Leifler; Ana Moreira; João Paulo Fernandes; Birgit Penzenstadler; Jari Porras; Colin C. Venters – ACM Transactions on Computing Education, 2024
Research shows that the global society as organized today, with our current technological and economic system, is impossible to sustain. We are living in an era in which human activities in highly industrialized countries are responsible for overshooting several planetary boundaries, with poorer communities contributing the least to the problems…
Descriptors: Computer Science Education, Sustainability, Educational Research, Educational Practices
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Mariana Alvidrez; Christopher Villa; Elaine M. Hampton – Journal of College Science Teaching, 2024
As ethical issues involving computer technologies and social media become more common, there is increasing interest in what role ethics should play in computer science education. As a result, computer science departments worldwide have ramped up their efforts to examine relevant ethical issues in undergraduate computer science classes to prepare…
Descriptors: Controversial Issues (Course Content), STEM Education, Ethics, Computer Science Education
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Esmaeil Jafari – Journal of Computer Assisted Learning, 2024
Background: Artificial intelligence (AI) has created new opportunities, challenges, and potentials in teaching; however, issues related to the philosophy of using AI technology in learners' learning have not been addressed and have caused some issues and concerns. This issue is due to the research gap in addressing issues related to ethical and…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, College Faculty
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Huiyan Ye; Oi-Lam Ng; Allen Leung – ZDM: Mathematics Education, 2024
There has been a renewed interest in creativity as a twenty-first century skill in K-12 mathematics education. However, previous research has paid less attention to creative actions than to other learning outcomes, which are often product- instead of process-based, especially in a programming context. Thus, situated in the context of mathematical…
Descriptors: Mathematics Instruction, Mathematics Teachers, Faculty Development, Learning Processes
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Kamaludeen Samaila; Hosam Al-Samarraie – Journal of Applied Research in Higher Education, 2024
Purpose: The flipped classroom model is an emerging teaching pedagogy in universities, colleges and secondary schools. This model will likely be successful if students prepare and acquire basic knowledge before class hours. Pre-class video lectures are common for students to access knowledge before class hours. However, students often do not watch…
Descriptors: Learner Engagement, Outcomes of Education, Teaching Methods, Flipped Classroom
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Shaykhah Saeed M. Raffaa; Munassir Alhamami; Nor Liza Bt. Haji Ali – IEEE Transactions on Education, 2024
Contribution: This study advances the understanding of English as a medium of instruction (EMI) in computer science education by exploring computer instructors' perspectives. Its unique contribution lies in a qualitative approach that uncovers the practical implications for policy and practice in the educational context. Background: The rationale…
Descriptors: Language of Instruction, English, Computer Science Education, Teacher Attitudes
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