Publication Date
| In 2026 | 0 |
| Since 2025 | 19 |
| Since 2022 (last 5 years) | 127 |
| Since 2017 (last 10 years) | 336 |
| Since 2007 (last 20 years) | 522 |
Descriptor
| Engineering Education | 710 |
| Computer Science Education | 586 |
| Foreign Countries | 221 |
| Higher Education | 188 |
| Teaching Methods | 161 |
| Computer Science | 148 |
| Undergraduate Students | 144 |
| Student Attitudes | 127 |
| Computer Software | 124 |
| STEM Education | 102 |
| College Students | 100 |
| More ▼ | |
Source
Author
Publication Type
Education Level
Location
| Spain | 23 |
| India | 16 |
| Australia | 15 |
| California | 15 |
| China | 15 |
| Germany | 11 |
| Sweden | 11 |
| Brazil | 10 |
| Taiwan | 10 |
| Canada | 8 |
| Japan | 7 |
| More ▼ | |
Laws, Policies, & Programs
| Higher Education Act Title IX | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Reeping, David; Lee, Walter; London, Jeremi – Journal of Engineering Education, 2023
Background: There have been calls to shift how engineering education researchers investigate the experiences of engineering students from racially minoritized groups. These conversations have primarily involved qualitative researchers, but an echo of equal magnitude from quantitative inquiry has been largely absent. Purpose: This paper examines…
Descriptors: College Students, African American Students, Engineering Education, Computer Science Education
Rebecca L. Matz; Mark Mills; Holly A. Derry; Benjamin T. Hayward; Caitlin Hayward – British Journal of Educational Technology, 2024
Mastery-based assignments typically provide students with multiple opportunities to improve their performance, but getting students to take advantage of these opportunities is difficult. We report on the implementation of a two-part series of nudges designed to improve students' engagement with and performance on mastery-based assignments in…
Descriptors: Mastery Learning, Scores, Assignments, Prompting
Vladislav Krivoshchekov; Nihat Kotluk; Yoann Favre; Marina Fiori; Egon Werlen; Roland Tormey – Journal of Engineering Education, 2025
Background: Engineering education often upholds masculinity norms such as individual competitiveness and emotional stoicism. These norms affect team dynamics and students' satisfaction with learning experiences in team projects. Purpose: This study explores how social emotions experienced by computer science students, in conjunction with their…
Descriptors: Engineering Education, Cooperative Learning, Teamwork, Psychological Patterns
Furkan Yucel; Hasret Sultan Unal; Elif Surer; Nejan Huvaj – IEEE Transactions on Learning Technologies, 2024
Laboratory experience is an integral part of the undergraduate curriculum in most engineering courses. When physical learning is not feasible, and when the demand cannot be met through actual hands-on laboratory sessions, as has been during the COVID-19 pandemic, virtual laboratory courses can be considered as an alternative education medium. This…
Descriptors: Electronic Learning, Engineering Education, COVID-19, Pandemics
Shmallo, Ronit; Ragonis, Noa – Education and Information Technologies, 2021
The paper presents research that aims to expose students' understanding of the "this" reference in object-oriented programming. The study was conducted with high school students (N = 86) and college engineering students (N = 77). Conceptualization of "this" reflects an understanding of objects in general and involves aspects of…
Descriptors: Computer Science Education, Programming, High School Students, College Students
Gavilán-Izquierdo, José María; Gallego-Sánchez, Inés; González, Antonio; Puertas, María Luz – Mathematics Teaching Research Journal, 2022
In this exploratory work, the discourse of first-year computer engineering undergraduate students of graph theory was analyzed with the aim of improving the teaching of this branch of mathematics. The theoretical framework used is the theory of commognition, specifically, we focus on commognitive conflicts because they are learning opportunities…
Descriptors: Undergraduate Students, Engineering Education, Computer Science Education, Graphs
Anastasia M. Schauer; Jessie Liu; Christopher Saldaña; Katherine Fu – International Journal of STEM Education, 2025
Background: Even among women who persist in the gender-imbalanced engineering fields, women on engineering design teams tend to take on non-technical roles. Understanding the mechanisms that inform this phenomenon is important for encouraging more women in STEM in order to close the gender gap. Although factors such as self-efficacy, task…
Descriptors: Sex Stereotypes, Engineering Education, Gender Issues, Design
David Roldan-Alvarez; Francisco J. Mesa – IEEE Transactions on Education, 2024
Artificial intelligence (AI) in programming teaching is something that still has to be explored, since in this area assessment tools that allow grading the students work are the most common ones, but there are not many tools aimed toward providing feedback to the students in the process of creating their program. In this work a small sized…
Descriptors: Intelligent Tutoring Systems, Grading, Artificial Intelligence, Feedback (Response)
Maya Denton; David B. Knight; Jessica R. Deters; Dustin M. Grote; Maura Borrego – Biomedical Engineering Education, 2024
We summarize national-scale data for Ph.D. earners in engineering or computer science from 2015 to 2019 whose post-graduate school employment is known, highlighting outcomes for biological/biomedical/biosystems engineering students. We use NSF's Survey of Earned Doctorates (SED), which has collected information from Ph.D. recipients in the USA…
Descriptors: Doctoral Degrees, Engineering Education, Computer Science Education, Sex
Holloman, Teirra K.; Lee, Walter C.; London, Jeremi S.; Hawkins Ash, Chaneé D.; Watford, Bevlee A. – Journal of Engineering Education, 2021
Background: In the field of engineering education, assessment and evaluation have been given insufficient attention as they relate to broadening participation. We posit that this lack of attention negatively impacts our ability to develop and implement sustainable solutions at scale. Purpose: The purpose of this article is to explore the presence…
Descriptors: Engineering Education, Educational Research, Student Participation, Student Evaluation
Chang, Jen-Chia; Shih, Hsiao-Fang; Liao, Fan-Ru – Education & Training, 2022
Purpose: This study used the industry-oriented capstone course to increase the employability of electrical engineering and computer science (EECS) students in technological university. Design/methodology/approach: In this study, EECS students were selected and divided into groups, and the non-equivalent pretest-posttest quasi-experimental research…
Descriptors: Industry, Capstone Experiences, Employment Potential, Engineering Education
Mehta, Neha; Bist, Siddarth Singh; Shah, Priya – Higher Education, Skills and Work-based Learning, 2022
Purpose: With past studies indicating a lack of skill development in engineering education, there is a need for new pedagogical tools that are application and skill-oriented. Hackathons are widely accepted in the corporate world, in the engineering domain for skill development and recruitment but have not gained acceptance in mainstream…
Descriptors: Engineering Education, Teachers, Computer Software, Teacher Attitudes
Moon-Heum Cho; Lei Zhang; Seongmi Lim; Seokwon Hwang – Distance Education, 2024
Although higher education institutions offer self-paced massive open online courses (MOOCs) on platforms like edX, little systematic effort has been made to examine their instructional design features. The purpose of this study was, therefore, to review self-paced MOOCs on edX and examine their instructional design features for those interested in…
Descriptors: Instructional Design, MOOCs, Pacing, Higher Education
Peter Hu; Yangqiuting Li; Chandralekha Singh – Physical Review Physics Education Research, 2024
Quantum information science and engineering (QISE) is a rapidly developing field that leverages the skills of experts from many disciplines to utilize the potential of quantum systems in a variety of applications. It requires talent from a wide variety of traditional fields, including physics, engineering, chemistry, and computer science, to name…
Descriptors: Quantum Mechanics, Computer Science Education, Inquiry, Teaching Methods
Wesley Beccaro; Elisabete Galeazzo; Denise Consonni; Henrique E. Maldonado Peres; Leopoldo R. Yoshioka – IEEE Transactions on Education, 2024
Contribution: The evaluation of analog-to-digital conversion methods constitutes a key component of an Instrumentation course. This study introduces an affordable educational platform based on Arduino UNO board designed for teaching analog-to-digital conversion concepts, supported by virtual instruments (VIs). Background: ADCs are electronic…
Descriptors: Engineering Education, Learning Management Systems, Teaching Methods, Computer Simulation

Peer reviewed
Direct link
