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Showing 1 to 15 of 97 results Save | Export
Sabolic, Dubravko; Beran Samuelson, Melissa; Magzan, Masha – Online Submission, 2022
Obtaining students' attitudes, opinions, feedback, etc., plays an essential role in the higher educational process because it makes it more bidirectional and engaging for the students. Including larger populations in surveys often calls for informational structuring/standardization for subsequent statistical post-processing. Moreover, it brings…
Descriptors: Student Attitudes, College Students, Likert Scales, Student Surveys
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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
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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
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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
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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
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Maria Chaparro Osman; Maureen Namukasa; Cherrise Ficke; Isabella Piasecki; T. J. O'Connor; Meredith Carroll – Journal of Cybersecurity Education, Research and Practice, 2023
A robust cybersecurity workforce is critical for protection against a range of malicious attacks. However, it has been noted that there are many vacancies and a shortage of individuals entering the cybersecurity workforce. This workforce shortage has partly been attributed to the lack of diversity in the cybersecurity field, with women, African…
Descriptors: Diversity (Institutional), Labor Force, Computer Security, Disproportionate Representation
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G. S. Prakasha; R. Sanskriti; B. Ishani – Journal of Educators Online, 2024
The introduction of Chat Generative Pre-Trained Transformer (ChatGPT) in November 2022 brought about rapid changes in the workplace and academia. Its usage ranged from student assignments to workplace targets in the engineering field. Although it has brought novel ideas to its application in various fields and task efficiency in the workplace, its…
Descriptors: Users (Information), Artificial Intelligence, Computer Software, Synchronous Communication
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Sakir Hossain Faruque; Sharun Akter Khushbu; Sharmin Akter – Education and Information Technologies, 2025
A career is crucial for anyone to fulfill their desires through hard work. During their studies, students cannot find the best career suggestions unless they receive meaningful guidance tailored to their skills. Therefore, we developed an AI-assisted model for early prediction to provide better career suggestions. Although the task is difficult,…
Descriptors: Decision Making, Career Development, Career Guidance, Computer Science Education
John F. Hutton – ProQuest LLC, 2022
All engineering careers require some level of programming proficiency. However, beginning programming classes are challenging for many students. Difficulties have been well-documented and contribute to high drop-out rates which prevent students from pursuing engineering. While many approaches have been tried to improve the performance of students…
Descriptors: Skill Development, Engineering Education, Epistemology, Delphi Technique
Taylor, Diondraya Christine – ProQuest LLC, 2023
The opportunity to innovate, experiment, and take chances in the classroom should be accessible to all students regardless of the social identities they hold; however, white women and women of color (WOC) in male-dominated physics, engineering, math and computer science (PEMC) learning environments, and STEM broadly, have been expected to take…
Descriptors: Females, College Students, Physics, Science Instruction
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Felipe A. Feichas; Rodrigo D. Seabra – Informatics in Education, 2023
This research discusses the use of a gamified web platform for studying software modeling with Unified Modeling Language (UML). Although UML is constantly being improved and studied, many works show that there is difficulty in teaching and learning the subject, due to the complexity of its concepts and the students' cognitive difficulties with…
Descriptors: Gamification, Computer Software, Models, Teaching Methods
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Alexandra R. Costa; Natércia Lima; Clara Viegas; Amélia Caldeira – Cogent Education, 2024
The use of AI tools, particularly ChatGPT, has been widespread in recent years. Its application in education has been criticized by some and supported by others. In this article we present the case of a work carried out as part of a course unit in a computer science degree program in which the use of ChatGPT was not only encouraged but required.…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Science Education
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Cordero, Diego; Astudillo, Silvana; Cisneros, Diego – IEEE Transactions on Education, 2023
Contribution: This article analyzes the elements that determine entrepreneurial intention (EI) in electrical and computer engineering students of a private university in Ecuador. Background: There is a lack of studies examining the EIs of university students in electrical engineering and computing sciences, where EI is influenced by elements, such…
Descriptors: Entrepreneurship, Intention, College Students, Engineering Education
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Lai, Ying-Hsun; Chen, Shih-Yeh; Lai, Chin-Feng; Chang, Yao-Chung; Su, Yu-Sheng – Interactive Learning Environments, 2021
Due to their applications on varied and complex issues, Artificial Intelligence (AI) and Internet of Things (IoT) (collectively, AIoT) have become popular new-generation courses, but the learning of such courses needs to consider actual situations and to analyze complicated problems, making it difficult for students to improve their academic…
Descriptors: Artificial Intelligence, Internet, Computation, Thinking Skills
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Xiaoyu Xu; Siân Alsop; Helen Tsui – Language and Education, 2024
Although digital advances have enabled hundreds of universities to offer massive open online courses (MOOCs) to millions of students worldwide, the high dropout rate on these MOOCs indicates a disjunct between the potential of the offer and the success of its uptake. Many studies point to issues relating to interpersonal connection as a major…
Descriptors: MOOCs, Computer Science Education, Engineering Education, Dropout Rate
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