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Khalid, Mohammad; Akanmu, Abiola; Murzi, Homero; Lee, Sang Won; Awolusi, Ibukun; Manesh, Daniel; Okonkwo, Chinedu – Journal of Civil Engineering Education, 2024
Construction, one of the largest industries in the world, consistently underperforms and faces barriers in leveraging the full potential of applying analytics to sensor data due to a lack of a skilled workforce. The prospects for data-driven solutions to address emerging construction challenges and enhance performance across project life cycles…
Descriptors: Construction Industry, Engineering, Job Skills, Measurement Equipment
Mohammad Heshmati; W. David Purvis – Chemical Engineering Education, 2024
Three real-world datasets are introduced for a petroleum engineering capstone design course, providing detailed problem statements, assessment criteria, team-building practices, and required software packages. Two surveys reveal that students prefer real datasets over synthetic ones, and despite initial challenges, students feel proud of their…
Descriptors: Chemical Engineering, Engineering Education, Fuels, Capstone Experiences
Grajdura, Sarah; Niemeier, Deb – Journal of Civil Engineering Education, 2023
Addressing societal issues in civil and environmental engineering increasingly requires skills in data science and programming. To date, there is not much known about the extent students are learning these skills in current civil and environmental engineering curricula. We conducted a survey of accredited civil and environmental engineering…
Descriptors: Civil Engineering, Engineering Education, Social Problems, Programming Languages
Jamal Kay B. Rogers; Tamara Cher R. Mercado; Ronald S. Decano – Journal of Education and Learning (EduLearn), 2025
Poor academic performance remains among the most concerning educational issues, especially in higher education and online learning. To address the concern, institutions like the University of Southeastern Philippines (USeP) leverage educational data mining (EDM) techniques to generate relevant information from learning management systems (LMS)…
Descriptors: Foreign Countries, Learning Management Systems, Academic Achievement, Data Analysis
Avital Binah-Pollak; Orit Hazzan; Koby Mike; Ronit Lis Hacohen – Education and Information Technologies, 2024
The significance of ethics in data science research has attracted considerable attention in recent years. While there is widespread agreement on the importance of teaching ethics within computing contexts, there is no clear method for its implementation and assessment. Studies focusing on methods for integrating ethics into data science courses…
Descriptors: Data Science, Anthropology, Ethics, Context Effect
Mark W. Isken – INFORMS Transactions on Education, 2025
A staple of many spreadsheet-based management science courses is the use of Excel for activities such as model building, sensitivity analysis, goal seeking, and Monte-Carlo simulation. What might those things look like if carried out using Python? We describe a teaching module in which Python is used to do typical Excel-based modeling and…
Descriptors: Spreadsheets, Models, Programming Languages, Monte Carlo Methods
Hong, Moo Sun; Sun, Weike; Anthony, Brian W.; Braatz, Richard D. – Chemical Engineering Education, 2022
This article describes experiences with teaching process data analytics and machine learning, including in: (1) a joint undergraduate/graduate course for students in chemical and mechanical engineering and engineering management; and (2) an undergraduate chemical engineering concentration in process data analytics. The article also describes…
Descriptors: Teaching Methods, Graduate Students, Undergraduate Students, Chemical Engineering
Harun Cigdem; Semiral Oncu – TechTrends: Linking Research and Practice to Improve Learning, 2025
Despite efforts to implement innovative approaches such as flipped learning leveraging computer technology, the challenge of student failure persists. Understanding the factors that contribute to student success in flipped engineering courses remains a critical issue. This study addresses this issue by investigating the impact of student…
Descriptors: Gamification, Flipped Classroom, Learner Engagement, Learning Readiness
Diana Adela Martin; Gunter Bombaerts – European Journal of Engineering Education, 2025
Challenge Based Learning (CBL) is an educational approach that has gained popularity in response to the need for authentic learning environments. While the CBL literature is predominantly focused on cases of pedagogical implementations, the actual processes by which students develop CBL projects remain under-investigated. This shortitudinal study…
Descriptors: Student Projects, Active Learning, Difficulty Level, Student Behavior
Scalfani, Vincent F.; Ralph, Serena C.; Al Alshaikh, Ali; Bara, Jason E. – Chemical Engineering Education, 2020
MATLAB live scripts are useful for reproducible programmatic compilation of chemical data and literature. In this article, we use a combination of the PubChem PUG REST Application Programming Interface (API), Structured Data Query (SDQ) agent, and text extraction with MATLAB live scripts that allow programmatic PubChem similarity searching, SMARTS…
Descriptors: Chemical Engineering, Engineering Education, Computer Software, Teaching Methods
Andrew J. Collins; Brandon M. Butler; James F. Leathrum; Christopher J. Lynch – Studying Teacher Education, 2024
As the COVID-19 pandemic caused severe disruption to education enterprises throughout the world, the main response by educational institutions was to move to online learning environments. The purpose of this study was to understand better how instructors could improve online learning for a professional-level week-long short course in a highly…
Descriptors: COVID-19, Pandemics, Engineering Education, Electronic Learning
Chopra, Shivangi; Golab, Lukasz – International Journal of Work-Integrated Learning, 2022
Benefits of cooperative (co-op) education have been investigated, mainly by surveying students already enrolled in co-op programs. In contrast, this paper investigates prospective students' perceptions of co-op. This was done by analyzing over 33,000 applications to undergraduate engineering programs in a large North American university. Text…
Descriptors: Undergraduate Students, Engineering Education, Student Attitudes, Cooperative Learning
Boutilier, Justin J.; Chan, Timothy C. Y. – INFORMS Transactions on Education, 2023
Artificial intelligence (AI) and operations research (OR) have long been intertwined because of their synergistic relationship. Given the increasing popularity of AI and machine learning in particular, we face growing demand for educational offerings in this area from our students. This paper describes two courses that introduce machine learning…
Descriptors: Artificial Intelligence, Operations Research, Undergraduate Students, Engineering Education
Xiner Liu; Andres Felipe Zambrano; Ryan S. Baker; Amanda Barany; Jaclyn Ocumpaugh; Jiayi Zhang; Maciej Pankiewicz; Nidhi Nasiar; Zhanlan Wei – Journal of Learning Analytics, 2025
This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…
Descriptors: Coding, Artificial Intelligence, Automation, Data Analysis
Berry, Teresa U.; Williamson, Jeanine M. – Issues in Science and Technology Librarianship, 2021
To meet the research, teaching, and learning needs of their users, academic librarians, particularly those functioning as subject liaisons, are expected to know the institution's curriculum and research areas so that they can help shape library strategies to meet those needs and to connect users to the library's resources and services. The present…
Descriptors: College Faculty, Engineering, Research, Academic Libraries