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Jack Rutherford; Ross Brisco; Robert Lynch – Design and Technology Education, 2024
Few digital product development tools are used in industry and academia compared to their historic paper-based counterparts. This is surprising as many parts of the product development process have digitised such as communication and Computer-Aided Design. Therefore, a gap in knowledge was identified which informed the development of a novel…
Descriptors: Productivity, Research and Development, Concept Formation, Computer Assisted Design
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Md. Yunus Naseri; Caitlin Snyder; Katherine X. Perez-Rivera; Sambridhi Bhandari; Habtamu Alemu Workneh; Niroj Aryal; Gautam Biswas; Erin C. Henrick; Erin R. Hotchkiss; Manoj K. Jha; Steven Jiang; Emily C. Kern; Vinod K. Lohani; Landon T. Marston; Christopher P. Vanags; Kang Xia – IEEE Transactions on Education, 2025
Contribution: This article discusses a research-practice partnership (RPP) where instructors from six undergraduate courses in three universities developed data science modules tailored to the needs of their respective disciplines, academic levels, and pedagogies. Background: STEM disciplines at universities are incorporating data science topics…
Descriptors: Data Science, Courses, Research and Development, Theory Practice Relationship
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Regueiro-Picallo, Manuel; Rojo-López, Gemma; Puertas, Jerónimo – International Journal of Sustainability in Higher Education, 2020
Purpose: The purpose of this paper is to present the Strategic Research Consortium Centre for Technological Innovation in Building and Civil Engineering (A-CITEEC) and its scientific strategy for the promotion of research and higher education in building and civil engineering. Design/methodology/approach: By means of an approach based on the…
Descriptors: Civil Engineering, Construction (Process), Research and Development, Innovation
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Joan E. Adamo; Erin L. Keegan; John W. Boger; Amy L. Lerner – Biomedical Engineering Education, 2024
Successful translation of medical devices requires a clear pathway through the business environment, including regulatory obligations and the protection of intellectual property. Introducing these topics can be challenging for biomedical engineering programs, as students prefer hands-on activities and retain concepts best when directly applied to…
Descriptors: Biomedicine, Engineering Education, Equipment, Medical Services
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Magnell, Marie; Geschwind, Lars – Higher Education Research and Development, 2019
The purpose of this article is to challenge the idea of incompatibility between links to research and links to professional practice in engineering education. The concept of 'academic drift' is introduced, both related to drift towards theory and towards research links in the curriculum. Empirical data were collected through a case study conducted…
Descriptors: Engineering Education, Theory Practice Relationship, Research and Development, Foreign Countries
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Fraser, Kym; Tseng, Tzu-Liang Bill; Deng, Xin – European Journal of Engineering Education, 2018
This study explores the usefulness of academic research to engineering practitioners. Issues such as knowledge transfer, the research-practice gap and the changing social/political environment are discussed. An empirical survey of practitioners is analysed to better understand the engineering professions use of academic material, such as research…
Descriptors: Engineering Education, Educational Research, Foreign Countries, Research and Development
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Joseph F. Mirabelli; Jennifer G. Cromley; Karin J. Jensen – Biomedical Engineering Education, 2024
Doctoral students experience high rates of mental health distress and dropout; however, the mental health and wellness of engineering doctoral students is understudied. Studies of student persistence, wellness, and success often aggregate fields together, such as by studying all engineering students. Thus, little work has considered the…
Descriptors: Research and Development, Comparative Analysis, Doctoral Programs, Biomedicine
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Magnell, Marie – European Journal of Engineering Education, 2020
Connections to research and professional practice are both essential components of engineering education, although handled differently across engineering programmes. The aim of this paper is to identify discourses on these components across three engineering programmes to in depth understand these variations. A discourse analysis was conducted on…
Descriptors: College Faculty, Teacher Attitudes, Engineering Education, Program Content
Tyler Reeb; Chris Swarat; Barbara Taylor – Center for Studies in Higher Education, 2024
This paper presents a rationale for using professional and continuing education (PaCE) units at post-secondary institutions throughout California to design and implement talent-pipelines, research and development collaborations, and other knowledge ecosystems where emerging and returning professionals can acquire the knowledge, skills, and…
Descriptors: Talent Development, Continuing Education, Professional Education, Technological Advancement
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Asplund, Carl-Johan; Bengtsson, Lars – European Journal of Engineering Education, 2020
Educational collaboration activities are generally under-researched part of the interactive learning between universities and industry. The study based on 529 Master of Science (MSc) theses from a major Swedish engineering school, the faculty of engineering LTH at Lund University, shows that MSc theses are a frequently used collaboration mechanism…
Descriptors: Educational Cooperation, School Business Relationship, Engineering Education, Universities
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Tho, Siew Wei; Yeung, Yau Yuen; Wei, Rui; Chan, Ka Wing; So, Winnie Wing-mui – International Journal of Science and Mathematics Education, 2017
Laboratory work, particularly the latest remote laboratories (RLs), has been assumed to have a general positive effect on science education because practical work can provide diverse learning experiences and enhance thinking skills suitable for the 21st century. However, there has not been a synthesis of the science education research to support…
Descriptors: Science Education, Thinking Skills, Educational Research, Computer Software
National Science Foundation, 2018
"Science and Engineering Indicators" ("Indicators") is a biennial congressionally mandated report that provides high-quality quantitative information on the U.S. and international science and engineering enterprise. The report employs a variety of presentation styles--such as narrative text, data tables and figures--to make the…
Descriptors: Science Education, Engineering Education, Educational Indicators, Information Sources
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Tellmann, Silje Maria; Røsdal, Trude; Frølich, Nicoline – Studies in Higher Education, 2021
Higher education institutions embed a large variety of organizational practices regarding how to organize, plan, and implement managerial decisions and processes. This variation is amongst others related to the multiple relationships the institutions, disciplines and professions have in their networks, formal agreements, and practical cooperation…
Descriptors: Professional Education, Higher Education, Barriers, Teacher Education Programs
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Casanovas-Rubio, Maria del Mar; Ahearn, Alison; Ramos, Gonzalo; Popo-Ola, Sunday – Innovations in Education and Teaching International, 2016
In principle, the research-teaching nexus should be seen as a two-way link, showing not only ways in which research supports teaching but also ways in which teaching supports research. In reality, the discussion has been limited almost entirely to the first of these practices. This paper presents a case study in which some student field-trip…
Descriptors: Research and Development, Theory Practice Relationship, Case Studies, Field Trips
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Davari, Mehraneh; Noursalehi, Payam; Keramati, Abbas – Journal of Marketing for Higher Education, 2019
In this research, a combination of both quantitative and qualitative approaches is used to identify different market segments in the education industry. To solve the research problem, an exploratory approach to data mining is used and, using a series of interviews with experts, the factors affecting segmentation are identified. Then, using the…
Descriptors: Data Analysis, Competition, Expertise, Research and Development
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