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Alicia Garcia-Holgado; Andrea Vazquez-Ingelmo; Francisco Jose Garcia-Penalvo – IEEE Transactions on Education, 2024
Contribution: Gender mainstreaming in university teaching should be covered in all the knowledge areas. This work successfully introduces the gender perspective as part of the methodological approach to teaching and learning in Computer Science. Background: This study describes how gender mainstreaming has been introduced and matured during six…
Descriptors: Computer Science, Gender Differences, Equal Education, Inclusion
Agnieszka Kwapisz; Brock J. LaMeres – IEEE Transactions on Education, 2024
Contribution: This study synthesizes insights into the thematic focuses and linguistic attributes that resonate most in engineering faculty collaborations aimed at fostering entrepreneurial mindsets (EMs). It provides a roadmap for educators and institutions to effectively communicate and encourage entrepreneurial thinking in engineering.…
Descriptors: Engineering Education, Entrepreneurship, College Faculty, Teacher Collaboration
Prateek Shekhar; Heydi Dominguez; Pramod Abichandani; Craig Iaboni – IEEE Transactions on Education, 2024
Purpose: The presented study was conducted to unpack high school students' motivational influences in engineering/computer science project-based learning (PjBL), using the attention, relevance, confidence, and satisfaction (ARCS) model of motivation as a conceptual framework. Methods: A qualitative research approach was used with student focus…
Descriptors: High School Students, Student Projects, Student Motivation, Learning Motivation
Henrique Mohallem Paiva; Flávia Maria Santoro; Victor Takashi Hayashi; Bianca Cassemiro Lima – IEEE Transactions on Education, 2025
Contribution: This article analyzes student assessment within a computing faculty employing a full project-based learning (PBL) approach. Examining 2078 final grades across 60 classes and periods, the study reveals a significant correlation between graded self-studies, exams, and projects. This result contributes to understanding the reliability…
Descriptors: Student Evaluation, Computer Science Education, College Faculty, Correlation
Amy L. Brooks; Prateek Shekhar; Jeffrey Knowles; Elliott Clement; Shane A. Brown – IEEE Transactions on Education, 2024
Contribution: This study aimed to improve understanding of context-based affordances and barriers to adoption of evidence-based instructional practices (EBIPs) among faculty in electrical and computer engineering (ECE). Context-based influences, including motives, constraints, and feedback mechanisms impacting EBIP adoption across six ECE faculty…
Descriptors: College Faculty, Computer Science Education, Evidence Based Practice, Engineering Education
Selina Marianna Shah; Catherine Elliott; Prema Nedungadi – IEEE Transactions on Education, 2024
Contribution: This study proffers a practical flexible framework for teachers and researchers embodying diverse computing pedagogies, to impart computing education (CE) to autistic students. The framework is based on the tenets of inclusion and personalised learning manipulating explicit CE pedagogies. Background: Research and anecdotal evidence…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Computer Science Education, Inclusion
Fulya Kula; Nelly Litvak; Tracy S. Craig – IEEE Transactions on Education, 2024
The sample mean in statistics is a concept of great importance, with its properties being extensively utilized in other areas, such as computer science. This research centers on the concept of the sample mean and its characteristics in a cohort of computer engineering students undertaking a required course in statistics at a university in the…
Descriptors: Computer Science Education, Engineering Education, Learning Processes, Statistics
Jin Wei-Kocsis; Moein Sabounchi; Gihan J. Mendis; Praveen Fernando; Baijian Yang; Tonglin Zhang – IEEE Transactions on Education, 2024
Contribution: A novel proactive and collaborative learning paradigm was proposed to engage learners with different backgrounds and enable effective retention and transfer of the multidisciplinary artificial intelligence (AI)-cybersecurity knowledge. Specifically, the proposed learning paradigm contains: 1) an immersive learning environment to…
Descriptors: Computer Security, Artificial Intelligence, Interdisciplinary Approach, Models
Kunye Chen; Raghav Mahalingam; Neal Ormsbee; Rachel Schlossman; Luis Sentis – IEEE Transactions on Education, 2024
University laboratories deliver unique hands-on experimentation opportunities for STEM students, but often lack state-of-the-art equipment and provide limited access to their equipment. The University of Texas Cloud Laboratory (CLAB) provides remote access to cutting-edge series elastic actuators for student experimentation regarding…
Descriptors: STEM Education, Laboratory Experiments, Laboratory Equipment, Robotics
Daniel Escanez-Exposito; Javier Correa-Marichal; Pino Caballero-Gil – IEEE Transactions on Education, 2024
Quantum computing is an emerging and quickly expanding domain that captivates scientists and engineers. Recognizing the limitations of conventional educational approaches in adequately preparing individuals for their incursion in this area, this research introduces a novel board game called "Qubit: The Game," whose objective is twofold:…
Descriptors: Game Based Learning, Art Education, STEM Education, Competence
Sara Ricci; Simon Parker; Jan Jerabek; Yianna Danidou; Argyro Chatzopoulou; Remi Badonnel; Imre Lendak; Vladimir Janout – IEEE Transactions on Education, 2024
Demand for cybersecurity professionals from industry and institutions is high, driven by an increasing digitization of society and the growing range of potential targets for cyber attacks. However, despite this pressing need a significant shortfall in the number of cybersecurity experts remains and a discrepancy has emerged between the skills…
Descriptors: Information Security, Computer Security, Classification, Barriers
Thom Kunkeler; Aletta Nylen – IEEE Transactions on Education, 2024
Contribution: This article applies science capital research to computing education in order to understand why students engage with a programme involving computing, and what they aspire to get out of their education. Background: Capital is a concept which has been used in educational research to study inequality, aspiration and achievement.…
Descriptors: Computer Science Education, Biology, Information Science, Learner Engagement
Nurul Hazlina Noordin; Kamil Khalili Bin Haji Abdullah; Phuah Soon Eu – IEEE Transactions on Education, 2024
Contribution: This study presents an innovative experiential learning model utilizing an educational pico satellite kit as a tool for cultivating digital making skills. The distinct approach showcases a positive impact on students' learning experiences and serves as a motivating force, offering valuable implications for engineering and technical…
Descriptors: Digital Literacy, Skill Development, STEM Education, Instructional Effectiveness
K. G. Srinivasa; Aman Singh; Kshitij Kumar Singh Chauhan – IEEE Transactions on Education, 2024
Contribution: This article investigates the impact of gamified learning on high school students (grades 9-12) in computer science, emphasizing learner engagement, knowledge improvement, and overall satisfaction. It contributes insights into the effectiveness of gamification in enhancing educational outcomes. Background: Gamification in education…
Descriptors: High School Students, Gamification, Computer Science Education, Critical Thinking
Rupert Ward; Sheryl Grant; Megan Workmon Larsen; Kate Giovacchini – IEEE Transactions on Education, 2024
The purpose of this article is to share worked examples of skills profiling within the universal micro-credential framework, a novel approach designed to further the enablement of 21st century skills which are defined here as a generalized series of competencies gained by a learner that enable them to self-reflect, self-regulate and self-optimize…
Descriptors: Microcredentials, Recognition (Achievement), Interdisciplinary Approach, Computer Science Education
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