We analyse the predictive power of learning strategies for engineering students' performance in mathematics. Learning strategies play an important role in self-regulated learning. Based on a new learning strategy questionnaire that takes into account the specifics of mathematical learning at universities, we investigated what were the strategies…

Workplace expectations for engineers have changed in the 21st century due to rapid technology advances, globalization, customer centricity, and team-based design practices, which require engineering graduates to have well-developed emotional intelligence (EI) to perform at high levels in the engineering profession. To fill the gap between…

An interactive textbook for a material and energy balances course measured over 1,300 reading interactions and hundreds of auto-graded problems per student each term. Specifically, seven cohorts and 601 students completed over 700,000 reading interactions and 150,000 auto-graded problems. Median reading participation was over 93%. Median correct…

Background: To address complex challenges of modern society, engineering education needs to help students develop sociotechnical perspectives of engineering. Research has documented efforts to incorporate sociotechnical thinking into undergraduate engineering education, but those perspectives must often compete with more dominant technocentric…

Purpose: The purpose of this paper is to present the results of measuring a sample of engineering students' perceived achievement of complex thinking at different stages of their professional training. This study intended to analyze and predict the differences in the self-perception of achieved complex thinking competency by gender, semester,…

This ethnographic study investigates the teaching and learning of the design process in biomedical engineering classrooms. Through classroom fieldwork, we examine how faculty and students conceptualize and implement the design process, focusing on its linear teaching methods, the abstraction of users, and the reinforcement of expertise…

Classroom response systems (CRS) represent an innovative educational technology that can be used to promote active learning and student engagement. This study explores the effectiveness of CRS in enhancing student learning and performance across various engineering courses related to heat engines. During five academic years, CRS have been used…

The start of the COVID-19 pandemic with its unique constraints led teachers of all disciplines, across all levels, to employ diverse strategies in their quick transition to online learning. Emerging literature has suggested readiness and resources for the transition to remote learning along with intrinsic and extrinsic factors such as student…

This study investigated how students reason about the partial derivative and the directional derivative of a multivariable function at a given point, using different graphical representations for the function in the problem statement. Questions were formulated to be as isomorphic as possible in both mathematics and physics contexts and were given…

Elementary teachers are navigating a curriculum landscape in which engineering activities now exist alongside science. Teacher education should prepare future elementary teachers to be critical curators of curriculum resources, which includes appraising the extent to which engineering and science activities authentically reflect those fields. To…

Background: Engineering requires new solutions to improve undergraduate performance outcomes, including course grades and continued enrollment in engineering pathways. Belonging and engineering role identity have long been associated with successful outcomes in engineering, including academic success, retention, and well-being. Purpose: We measure…

This paper presents research activity on computer-based mathematics learning to study the effectiveness of open-source teaching computer platforms (Canvas) in computer-assisted instruction. We designed a set of multiple-choice online quizzes as a dynamical flow-chart of possible paths to follow while solving a difficult math problem on…

Engaging students in hands-on engineering design-based instruction as called for in national science, and technology and engineering (T&E) education standards in the United States (U.S.) poses inherent hazards and risks that science, technology, engineering, and mathematics (STEM) educators must be adequately prepared to address. Helping…

Deep learning-based course recommendation systems often suffer from a lack of interpretability, limiting their practical utility for students and academic advisors. To address this challenge, we propose a modular, post-hoc explanation framework leveraging Large Language Models (LLMs) to enhance the transparency of deep learning-driven…

Social network analysis has become a common methodology within physics education research to quantify the impacts that student interactions and classroom structure have on student outcomes. These relationships are typically quantified using a degree centrality metric based on the number and range of connections a student has, such that a higher…