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Peace Bransberger; Patrick Lane; Christina Sedney – Western Interstate Commission for Higher Education, 2024
In 2022, industry leaders voiced concerns to policymakers that Idaho was not producing enough engineering and computer science graduates from its public institutions to meet the needs of Idaho's economy. In response, the Idaho State Board of Education commissioned an analysis from Western Interstate Commission for Higher Education (WICHE) to…
Descriptors: Engineering Education, Computer Science Education, College Graduates, Labor Supply
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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
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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
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Matthew Bahnson; Monique Ross; Catherine G. P. Berdanier – Journal of Engineering Education, 2024
Background: Postdoctoral training holds an increasingly important place in preparation for leading academic and research positions. While little empirical research has described postdoctoral training beyond the sciences, across all fields, "misaligned expectations" are often touted as a key source of postdoctoral strife.…
Descriptors: Postdoctoral Education, Engineering Education, Computer Science Education, Mentors
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Meina Zhu; Min Young Doo; Sara Masoud; Yaoxian Huang – Education and Information Technologies, 2025
This study examines the influences of learners' motivation, self-monitoring, and self-management on learning satisfaction in online learning environments. The participants were 185 undergraduates and 99 graduate students majoring in computer science and engineering. The participants' motivation, self-monitoring, self-management, and learning…
Descriptors: Student Satisfaction, Differences, Undergraduate Students, Graduate Students
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Temirbekova, Zh. E.; Pyrkova, A. Yu. – Education and Information Technologies, 2022
Currently, the study of microcontroller and microcircuits by students is becoming very important and in demand when acquiring competencies in the computer engineering educational program. This knowledge and skills will be necessary for the employment of graduates in industry, science and education. There are more and more large technical systems…
Descriptors: Electronic Equipment, Skill Development, Computer Science Education, Engineering Education
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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
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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
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Venigalla, Akhila Sri Manasa; Chimalakonda, Sridhar – Smart Learning Environments, 2023
E-textbooks are one of the commonly used sources to learn programming, in the domain of computer science and engineering. Programming related textbooks provide examples related to syntax, but the number of examples are often limited. Thus, beginners who use e-textbooks often visit other sources on the internet for examples and other information.…
Descriptors: Electronic Publishing, Textbooks, Documentation, Programming
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Wagler, Adam – Journal of Advertising Education, 2023
What role does advertising play in product development as part of owned media? For three years, a capstone advertising campaign course collaborated with STEM courses to form interdisciplinary teams composed of advertising, engineering, and computer science. The study provides insight into how teams can be more entrepreneurial by building on the…
Descriptors: Advertising, Capstone Experiences, Interdisciplinary Approach, Cooperative Learning
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Fredriksen, Helge – Teaching Mathematics and Its Applications, 2021
Flipped Classroom as a pedagogical framework has gained popularity at secondary and tertiary levels of mathematics education, but there is a lack of research based on a solid theoretical foundation. This article considers the flipped mathematics classroom from the perspective of affordances and cultural-historical activity theory. The empirical…
Descriptors: Affordances, Flipped Classroom, Mathematics Education, Computer Science Education
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Lian, Victor; Varoy, Elliot; Giacaman, Nasser – IEEE Transactions on Learning Technologies, 2022
Object-oriented programming (OOP) is a widely used programming paradigm in modern software industry. This makes it an essential skill for students in many disciplines to learn. However, OOP is known to be challenging to learn and teach due to its abstract nature. Studies have shown that students often face difficulties and develop misconceptions…
Descriptors: Programming, Computer Science Education, Visualization, Logical Thinking
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Tyler S. Love – Interactive Learning Environments, 2024
Providing greater access to computer science (CS) education for K-12 students in the United States (U.S.) has increased interest in integrating CS concepts within authentic science, technology, engineering, and mathematics (STEM) contexts. Physical computing is one method that has demonstrated promising results in other countries (e.g. England)…
Descriptors: Middle School Students, Student Attitudes, Computer Science Education, STEM Education
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Divasón, Jose; Martinez-de-Pison, Francisco Javier; Romero, Ana; Saenz-de-Cabezon, Eduardo – IEEE Transactions on Learning Technologies, 2023
The evaluation of student projects is a difficult task, especially when they involve both a technical and a creative component. We propose an artificial intelligence (AI)-based methodology to help in the evaluation of complex projects in engineering and computer science courses. This methodology is intended to evaluate the assessment process…
Descriptors: Student Projects, Student Evaluation, Artificial Intelligence, Models
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Ruth Z. Hauzel; Tanuja Pattnaik; Ranjani Vara; Surya Prabha Mandela – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: Despite playing a critical role in shaping the future, 70% of undergraduate engineers report low levels of motivation. Student disengagement and a lack of ownership of their learning are significant challenges in higher education, specifically engineering students in the computer science department. This study investigates the various…
Descriptors: Undergraduate Students, Engineering Education, Learner Engagement, Student Attitudes
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