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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

The designs of many student-facing learning analytics (SFLA) dashboards are insufficiently informed by educational research and lack rigorous evaluation in authentic learning contexts, including during remote laboratory practical work. In this article, we present and evaluate an SFLA dashboard designed using the principles of formative assessment…

Preparing students to use and consume data both inside and outside of school is an important goal in mathematics, science, and engineering education, but even basic data analysis tasks can quickly become complex. Planning and designing classroom data analysis tasks that support students' learning of statistical principals requires an understanding…

A central part of basic engineering design education aims for imparting profound knowledge of how machine elements are designed and building an understanding about how they work in detail within a technical product. In this context, a basic challenge lies in teaching to analyse complex systems that are usually characterized by a high number of…

Background: Mixed methods research designs in engineering education often frame the "mixed" aspect of the design from the perspective of data collection. However, intentional mixing throughout the research design--particularly during data analysis--may enable richer meta-inferences about a phenomenon. Purpose: This paper provides…