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Panagiotis Apostolellis; Jessica Taggart; R. X. Schwartz – European Journal of Engineering Education, 2023
Group projects are expected in contemporary engineering curricula, and yet they often pose a challenge to students and instructors alike. Could making projects personally relevant help? The present study created and tested a conceptual framework regarding the impact of personal relevance on groupwork in a project-based learning (PBL) course. We…
Descriptors: Instructional Effectiveness, Student Projects, Active Learning, Relevance (Education)
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Julia H. Kaufman; Karen Christianson; Rebecca L. Wolfe; Miray Tekkumru-Kisa; Christopher Joseph Doss – RAND Corporation, 2023
In this report, the authors provide a preliminary look at the Improving Pre-Engineering and Computer Science Education Through Micro-Credentialing project to develop and implement micro-credentials as a means of providing scalable, competency-based certification of science, technology, engineering, and mathematics (STEM) teaching skills in…
Descriptors: Credentials, Program Design, Program Implementation, STEM Education
Méndez Irizarry, Alejandra S. – ProQuest LLC, 2023
This doctoral dissertation documents the experiences of women (student and faculty) in computer science programs. The research emerges from the literature on the gender gap in computing and video gaming. Thus, the author seeks to find the meaning that participants have granted to their experiences as undergraduate students and faculty, in a…
Descriptors: Females, Computer Science Education, Video Games, Gender Differences
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Amoudi, Ghada; Tbaishat, Dina – Education and Information Technologies, 2023
Social network analysis involves delicate and sophisticated mathematical concepts which are abstract and challenging to acquire by traditional methods. Many studies show that female students perform poorly in computer science-related courses compared to male students. To address these issues, this research investigates the impact of employing a…
Descriptors: Computer Science, Graduate Students, Outcomes of Education, Educational Technology
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C. Florou; G. Stamoulis; A. Xenakis; A. Plageras – Education and Information Technologies, 2025
This study focuses on students' self-assessment during their learning process related to computer programming concepts, taking into account challenges and obstacles both teachers and students face, with the aim to contribute to the development of guiding principles and practices and enhance the teaching process of computer programming in primary…
Descriptors: Teacher Role, Self Evaluation (Individuals), Computer Science Education, Programming
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Elisabeth Omand Grønhøj; Billy Wong; Jeppe Bundsgaard – Computer Science Education, 2025
Background and Context: Cultural and social influences from peers, family, and media shape young people's views on technology careers. This study examines Danish students' perceptions and discourses of IT professionals and technology occupations. Objective: Unlike earlier studies focusing on science or STEM as a monolith, this study specifically…
Descriptors: Freehand Drawing, Computer Science Education, Student Attitudes, Information Technology
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Karen Woo; Garry Falloon – Computer Science Education, 2025
Background and context: Coding and computational thinking are often taught through integrated curricula, despite a paucity of classroom-based research on their effectiveness. Objective: To investigate evidence of learning resulting from cross-curricular coding tasks in middle-school classrooms, and the school environment factors that impact upon…
Descriptors: Coding, Computer Science Education, Curriculum Development, Thinking Skills
Sina Rismanchian; Eesha Tur Razia Babar; Shayan Doroudi – Annenberg Institute for School Reform at Brown University, 2025
In November 2022, OpenAI released ChatGPT, a groundbreaking generative AI chatbot backed by large language models (LLMs). Since then, these models have seen various applications in education, from Socratic tutoring and writing assistance to teacher training and essay scoring. Despite their widespread use among high school and college students in…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Undergraduate Students
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Guangrui Fan; Dandan Liu; Rui Zhang; Lihu Pan – International Journal of STEM Education, 2025
Purpose: This study investigates the impact of AI-assisted pair programming on undergraduate students' intrinsic motivation, programming anxiety, and performance, relative to both human-human pair programming and individual programming approaches. Methods: A quasi-experimental design was conducted over two academic years (2023-2024) with 234…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Programming
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Nicholas A. Bowman; Federick J. Ngo; Jeongmin Ji – Review of Higher Education, 2025
Research has frequently demonstrated negative effects of placing students into developmental education, but very little inquiry has considered the impact of placing students into different levels of non-developmental coursework. The present study explored this issue within sequenced pairs of STEM gateway courses using doubly-robust propensity…
Descriptors: Student Placement, STEM Education, Outcomes of Education, Undergraduate Students
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Miitta Järvinen; Katriina Sipiläinen; Janne Roslöf; Sami Lehesvuori; Lauri Kettunen; Raija Hämäläinen – European Journal of Engineering Education, 2025
This study explored the learning experiences of first-year information technology students at the beginning of their studies. Identifying the early experiences is important, as we know they can predict later challenges and persistence in studies. We focus on a novel understanding of relations between learning approaches, self-efficacy and burnout…
Descriptors: Information Technology, College Freshmen, Computer Science Education, Self Efficacy
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Merijke Coenraad; Alessandra Rangel; Kyle Dunbar – Journal of Research on Technology in Education, 2025
Based in a research-practice partnership around district-wide computational thinking (CT) Pathways, this paper explores how six districts utilized the CT Engagement Inventory to examine if and how students are engaged in computing learning opportunities and write inclusive CT pathway goals. We found the CT Engagement Inventory supported districts…
Descriptors: Computation, Thinking Skills, School Districts, Research and Development
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Zuhan Liu; Lili Wang – Education and Information Technologies, 2025
With the continuous development of embodied cognition theory and virtual reality (VR) technology, its application in teaching has been paid more and more attention by researchers. However, there are still few practical studies on the combination of VR technology and embodied learning. Starting from literature research, the paper analyzes the…
Descriptors: Cognitive Processes, Computer Simulation, Human Body, Experiential Learning
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K. Ann Renninger; Ruth C. Elias; Mariko J. Kamiya; Jennifer N. Paige; Raymond A. Youngblood – Computer Science Education, 2025
Background and Context: Integrating computer science (CS) and math in classrooms is an increasingly recognized way for schools to address national CS mandates. There is a need to understand how professional development (PD) can support teachers to integrate. Objective: We examined math teachers' interest, and confidence, in math, CS, and student…
Descriptors: Faculty Development, Teacher Workshops, Computer Science Education, Mathematics Instruction
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Ying-Chieh Liu; Hung-Yi Chen – IEEE Transactions on Education, 2025
Contribution: Expand the scope of factors influencing self-efficacy and highlight the importance of teaching quality, peer support, perceived course value, the moderating effects of self-regulation, and adversity quotient (AQ). Background: Self-efficacy has been regarded as an important factor in students' learning performance. However, little…
Descriptors: Foreign Countries, College Students, College Faculty, Programming
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