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Sara Beth Frey – ProQuest LLC, 2024
Research has shown that inequitable participation in computer science education is an occupational injustice for students with disabilities, as it is an unfair and inequitable distribution of occupational opportunities. There is limited information regarding how schools' capacity for and access to computer science education relates to the…
Descriptors: Computer Science Education, Student Participation, Students with Disabilities, Disproportionate Representation
Debora Lui; Deborah A. Fields; Yasmin B. Kafai – Cognition and Instruction, 2024
Debugging (or troubleshooting) provides a rich context to foster problem-solving. Yet, while we know much about some problems and strategies that novices face in programming on-screen, we know far less about debugging and troubleshooting in the context of physical computing, where coding issues may overlap with materially embedded problems. In…
Descriptors: Grade 9, STEM Education, Troubleshooting, Public Schools
Sujeeth Goud Ramagoni – ProQuest LLC, 2024
The rapid evolution of technology and its integration across virtually every field has made computer science (CS) education a crucial component of modern curricula. Despite the increasing demand for CS skills and being the top source of new wage creation in the U.S., CS education remains undervalued and underrepresented in high school systems.…
Descriptors: Teacher Shortage, Computer Science Education, Barriers, Access to Education
Oliveira Moraes, Laura; Pedreira, Carlos Eduardo – IEEE Transactions on Learning Technologies, 2021
Manually determining concepts present in a group of questions is a challenging and time-consuming process. However, the process is an essential step while modeling a virtual learning environment since a mapping between concepts and questions using mastery level assessment and recommendation engines is required. In this article, we investigated…
Descriptors: Computer Science Education, Semantics, Coding, Matrices
Lorien Cafarella; Lucas Vasconcelos – Education and Information Technologies, 2025
Middle school students often enter Computer Science (CS) classes without previous CS or Computational Thinking (CT) instruction. This study evaluated how Code.org's block-based programming curriculum affects middle school students' CT skills and attitudes toward CT and CS. Sixteen students participated in the study. This was a mixed methods action…
Descriptors: Middle School Students, Computation, Thinking Skills, Problem Solving
Shana V. White; Sonia Koshy; Allison Scott – Journal of Research on Technology in Education, 2025
To address racial and gender inequality in K-12 computer science (CS) education, there needs to be a multi-pronged approach. In addition to curricula that are culturally responsive and sustaining inclusive, K-12 CS teachers need to be equipped to implement the curriculum, pedagogy, and instruction to mitigate the racial and gender gaps in…
Descriptors: Computer Science Education, Culturally Relevant Education, Elementary Secondary Education, Faculty Development
Tugba Abanoz; Filiz Kalelioglu – European Early Childhood Education Research Journal, 2025
In the digital age, it's crucial to equip children with twenty-first-century skills, including programming and other competencies such as creativity, analytical thinking, and collaboration. This study introduces an integrated STEM (Science, Technology, Engineering, and Mathematics) curriculum focused on computer science for educators. It explores…
Descriptors: Foreign Countries, Early Childhood Education, Preschool Children, STEM Education
Leveraging Large Language Models to Generate Course-Specific Semantically Annotated Learning Objects
Dominic Lohr; Marc Berges; Abhishek Chugh; Michael Kohlhase; Dennis Müller – Journal of Computer Assisted Learning, 2025
Background: Over the past few decades, the process and methodology of automatic question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up new potential in the generation of educational content. Objectives: This paper explores the potential of large language models…
Descriptors: Resource Units, Semantics, Automation, Questioning Techniques
Chiao Ling Huang; Lianzi Fu; Shih-Chieh Hung; Shu Ching Yang – Journal of Computer Assisted Learning, 2025
Background: Many studies have highlighted the positive effects of visual programming instruction (VPI) on students' learning experiences, programming self-efficacy and flow experience. However, there is a notable gap in the research on how these factors specifically impact programming achievement and learning intentions. Our study addresses this…
Descriptors: Attention, Self Efficacy, Visual Aids, Instructional Effectiveness
Jeff Hanson; Blair Taylor; Siddharth Kaza – Information Systems Education Journal, 2025
Cybersecurity content is typically taught and assessed using Bloom's Taxonomy to ensure that students acquire foundational and higher-order knowledge. In this study we show that when students are given the objectives written in the form of a competency-based statements, students have a more clearly defined outcome and are be able to exhibit their…
Descriptors: College Students, Universities, Competency Based Education, Educational Objectives
Erdem Kaptan; Recep Cakir – Education and Information Technologies, 2025
In recent years, digital storytelling activities have been used in various disciplines. In this study, it was aimed to determine the effect of digital storytelling on students' digital literacy, 21st century skills, academic success, and retention in the sixth-grade Information Technologies and Software course. In the research, a…
Descriptors: Story Telling, Digital Literacy, 21st Century Skills, Academic Achievement
Minji Yun; Kent J. Crippen – Journal of Science Teacher Education, 2025
Computational Thinking (CT) has emerged as a fundamental aspect of modern science education, especially within pre-service teacher education. This study examines the current landscape of CT integration in pre-service science teacher education, drawing insights from an analysis of 18 empirical studies conducted since the implementation of the Next…
Descriptors: Computer Science Education, Teacher Education Programs, Science Education, Preservice Teacher Education
Lintang Matahari Hasani; Kasiyah Junus; Lia Sadita; Ayano Ohsaki; Tsukasa Hirashima; Yusuke Hayashi – Online Learning, 2025
Online discussion based on the community of inquiry (CoI) framework has received considerable popularity due to its potential benefits for enhancing problem-solving skills and achieving deep understanding in the long term. However, it is challenging to make learners actively conduct a discussion using typical environments (e.g., asynchronous…
Descriptors: Electronic Learning, Inquiry, Communities of Practice, Undergraduate Students
Victor-Alexandru Padurean; Tung Phung; Nachiket Kotalwar; Michael Liut; Juho Leinonen; Paul Denny; Adish Singla – International Educational Data Mining Society, 2025
The growing need for automated and personalized feedback in programming education has led to recent interest in leveraging generative AI for feedback generation. However, current approaches tend to rely on prompt engineering techniques in which predefined prompts guide the AI to generate feedback. This can result in rigid and constrained responses…
Descriptors: Automation, Student Writing Models, Feedback (Response), Programming
Bea Wohl – International Journal of Computer Science Education in Schools, 2025
This paper will present a brief history of computing education in England from 1970 to 2014. It sets out to provide the context which shaped the 2014 computing curriculum. After this curriculum had been in place for almost a decade, the paper provides an opportunity to see how computing skills, including information communications technology…
Descriptors: Foreign Countries, Computer Science Education, Educational History, Information Technology

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