, 2025 Work in Progress: A secondary data analysis of qualitative data to create survey items to measure undergraduate student researcher identityThis Work-in-Progress empirical research paper documents the initial steps in the developmentof survey items to measure student researcher identity. Specifically, we focus on the secondarydata analysis of qualitative data to develop items to measure the construct of interest, as it relatesto researcher identity. Undergraduate research experiences (UREs) provide students with theopportunity to engage in authentic complex problem solving [1]. These experiences areconsidered high impact practices because they have been shown to increase student retention,engagement, and degree completion
& Energy Balances, is a foundational course for chemicalengineering students, and serves as the entry point into the major at most institutions [1]. Thecourse builds on fundamental concepts learned in introductory chemistry, physics, and mathcourses and generally serves as a prerequisite for subsequent undergraduate courses in thechemical engineering discipline. The course introduces key concepts in conservation of mass(mass balances) and conservation of energy (energy balances) both with and without chemicalreactions, as well as an introduction to concepts in thermodynamics including equations of state,multi-phase systems, and liquid/vapor equilibrium. These concepts are foundational to laterchemical engineering courses including
Engineering, and Optical Engineering.A group of engineering librarians with Naval Architecture, Marine, and/or Ocean Engineering(NAMOE) programs at their institutions decided after the ASEE 2024 conference to cometogether to discuss and support one another in a Community of Practice (CoP, i.e. our pod oflibrarians). This NAMOE CoP has met regularly throughout the fall of 2024 discussing how tofill the gaps in resources and knowledge needed to support NAMOE students and facultyeffectively. Regarding resources, our group has already started to share databases and othersources of information in NAMOE fields. We have longer-term plans to collaboratively developa resource similar to chapters in Osif’s Using the Engineering Literature [1], a critical
. ©American Society for Engineering Education, 2025 RFE: Trust but Verify: The Use of Intuition in Engineering Problem SolvingWe all have moments when we are struck by a “gut feeling” or a “sixth sense” about something. It couldpertain to a relationship or task at work. That sense can be broadly termed intuition. Intuitive decision-making is an essential characteristic of individuals who have attained a certain level of expertise [1]. Thedevelopment of expertise [1, 2] and intuition [3, 4] are heavily influenced by experience. Intuition is a skillused by professionals in specialized skills such as nursing, business management, law, engineering, andother STEM fields [4-8]. Engineering intuition is defined as an experience-informed skill
as panning the graph, be added to the tutorial. The paper willdescribe the various features of the application as well as results from user studies.Keywords: Bond graph generation; State equations; system modeling1. IntroductionMechatronic systems are a class of systems that combine mechanics and electronics [1]. In fact,the four major components of such systems are the mechanism, sensors, control unit and actuators.Mechanisms relate to mechanical translation, mechanical rotation, or thermo-fluids. Sensors areimportant to collect data, which will be instrumental in determining the control strategies as partof the control unit. The appropriate decisions from the control unit are then transferred to theactuator, which will then power the
, assignments, and lecture slides, convey messages aboutdisciplinary values, assumptions, and beliefs [1]. They help students recognize and learn theways of knowing and doing typical of their disciplines, promoting students’ domainidentification and knowledge construction processes. Textbooks have been used to examine thenature of knowledge presented across various fields, revealing the narratives, questions, andcontent they prioritize and value [2]. For example, Robinson’s [3] analysis of introductoryelectrical engineering textbooks spanning roughly 80 years suggests that more recent versionsprioritize fact-based content through rote procedure application than earlier, more theoreticalversions. These findings align with other disciplinary perspectives
model for student success units across the country.Dr. Marko Lubarda, University of California, San Diego Marko Lubarda is an Assistant Teaching Professor in the Department of Mechanical and Aerospace Engineering at the University of California, San Diego. He teaches mechanics, materials science, computational analysis, and engineering mathematics courses, an ©American Society for Engineering Education, 2025 1 NSF IUSE 2315777: Training engineering students to be better learners: a course-integrated approachProject motivation and backgroundLearning is a lifelong
Broaden Participation inEngineering at Scale” uses a brief ecological intervention that only requires one class orrecitation/discussion session to implement and has been shown to erase long-standing gender andracial equity gaps in academic achievement in introductory STEM courses [1]. The interventionis contextualized [2] for each course at each university and our research has demonstrated thatthe intervention is effective during the first year in supporting belonging for Black, Latiné, andIndigenous (BLI) students and in reducing equity gaps in academic performance during a first-year programming course [3]. Our research has also demonstrated that BLI students who receivethe intervention have improved help-seeking behaviors and are more likely
primarily constructed to generate knowledge about a topic,not to impact practice or address inequities. Disseminating research or best practices alone doesnot create change [1]. Researchers should first study the actions that can create change ineveryday educational contexts and then translate their impacts more widely.Diversity, Equity, and Inclusion (DEI) scholarship is disconnected from classroom practice.While DEI scholarship has made bold critiques and provided important windows into studentexperiences, it tends not to study classroom interactions or critique classroom practices. Sinceclassrooms often constitute the bulk of students’ marginalizing educational experiences, moreresearch is needed to understand the ways inequity manifests in
: Sixth-grade youth expanding engineering through critical multilingual journalism (DRK-12)In the Community Tech Press NSF DRK-12 project, we are developing, enacting, and studying acritical climate tech journalism curriculum to support multilingual sixth-grade students’engineering knowledge and practices. STEM education scholars have called for the incorporationof justice-oriented design practices and equity-focused lenses into K-12 engineering experiences[1, 2]. Building on these calls, the Community Tech Press unit has a distinct framing: criticalclimate tech journalism. In this approach, students’ engineering design work is less transactionaland industry-oriented than in an experience where students design for a client. Instead
andGirls: A Study of Algorithm Design and Debugging (Work-In-Progress)IntroductionComputational thinking (CT) is widely recognized as a core skill for 21st-century learners,essential for success in STEM fields. Despite efforts to promote STEM education, genderdisparities persist, with women underrepresented in these fields. Scholars recommend earlyexposure to CT concepts in K-12 education to foster equity and inclusion [1]-[4]. Factorsinfluencing the gender gap include cultural stereotypes, limited computing experience, andunequal treatment, leading to negative self-efficacy [5]-[8]. Positive engagement in STEMduring early childhood can significantly influence long-term interest and participation. Whileseveral studies have examined girls
practices [1]. Simultaneously, there have been calls toconsider meaningful community engagement and for engineering institutions to engagethoughtfully in rural spaces [1], [2], [3]. Recent national calls and efforts have also emphasizedthe importance of and need for research and investment in STEM workforce development inrural places and connecting students to careers and industries to demonstrate the relevance ofSTEM in rural places [3],[4],[5]. In alignment with these simultaneous calls, we propose work-integrated learning as a promising practice for the future of engineering education with the goalof promoting authentic work experiences and community engagement. This paper describes the first pilot of an innovative, community engaged
journey. ©American Society for Engineering Education, 2025 WIP: Empowering Future Engineers: The Impact of a Summer Bridge Program on Student Self-EfficacyIntroductionLow retention and graduation rates in engineering are well-known challenges to maintainingAmerica’s technological competitiveness. Recent studies indicate that the U.S. four-yearengineering graduation rate is about 30% [1]. Over the past 65 years, the six-year engineeringgraduation rate has been about 50% [2]. This means that roughly half of all students who beginstudying in an engineering bachelor’s degree program will drop out of the program beforegraduating. However, the urgency of this problem is further emphasized by a
: manufacturing, control, thermal & fluids, andmaterials [1, 2]. However, the biomedical and healthcare devices market has experiencedsignificant growth, reaching $542.21 billion in 2024, and is projected to increase to $886.80 billionby 2032 [3]. This expansion underscores a growing demand for higher education programs thatprovide interdisciplinary experience, particularly in STEM fields. Concurrently, the number oforgan failure patients is on the rise, with many individuals suffering and awaiting transplants. Inthe United States, nearly 110,000 people were on the national transplant waiting list in 2021 dueto end-stage organ diseases, including kidney, liver, lung, and heart failure. Although over 40,000transplantations were performed in 2020, the
lecture time for interactive programming exercises andcollaborative problem-solving. Peer Learning Group (PLG) sessions also provide extra opportunities forpractice and peer-assisted learning.Preliminary feedback and assessment data suggest that this project-based approach significantly enhancesstudents’ understanding of mathematical and computational concepts and their ability to apply them inengineering contexts. By integrating MATLAB programming with real-world applications, the courseprepares students with both the theoretical foundation and practical expertise required for advancedcoursework and professional engineering challenges. 1. Introduction:The growing complexity of engineering problems requires students to master computational
supply, an oscilloscope, and compo- nents such as op-amps and resistors. This paper discusses the set-up of both troubleshooting frameworks, including example circuits, practical notes on running the exercises in classes ranging from 40 to 100 students, and suggestions for how to collect and analyze the resulting data for instructional or research purposes.1 IntroductionOne goal of laboratory instruction is that students learn how to troubleshoot a system. Troubleshooting refers to aprocess, typically methodological, to identify and repair faults in a system. In their paper “The Role of the Laboratoryin Undergraduate Engineering Education,” Feisel and Rosa [1] mention troubleshooting in both their “design” and“learn from
formation variables and unmeasured factors influencing group and individualperformance.Keywords: engineering education, collaborative learning, design project1. IntroductionCollaborative learning has become a cornerstone of modern educational approaches, fosteringstudent engagement and enhancing individual and collective performance. The question of howdifferent group formation strategies impact student performance remains critical for optimizingcollaborative learning environments. In a previous study, team learning in an academic coursehas been found to not significantly increase the individual performance levels of students [1].This study investigated the effects of three distinct group formation methods, randomassignment, self-selection, and
large classes. Samples of studentwork demonstrate they can compare measurements to the geometric tolerances defined in anengineering drawing, make direct connections to the tolerance zones produced by each symbol, anddetermine the conditions for a fabricated part meeting or failing the design requirements specifiedin an engineering drawing. Students who participated in the course indicate in an end-of-semestersurvey how the measurement activities relying on these fixtures can bridge the gap between thesymbols in the engineering drawing and their physical meaning.1. IntroductionGeometric Dimensioning and Tolerancing (GD&T) is a complex language using numbers, letters, andspecial symbols implemented in engineering drawings to control a part’s
resources that instructors can use in theirclassrooms. An example of a classroom exercise will be demonstrated.BackgroundPlain language is “clear, concise, well-organized, and follows other best practices according tothe subject or field and intended audience” [1]. It allows the reader to (a) find what they need, (b)understand what they find the first time they read or hear it, and (c) use what they find to meettheir needs [2], while being understandable, actionable, and culturally relevant [3]. Definitionsvary slightly, but in general, plain language documents are written appropriately to the audienceand can be understood the first time they are read or heard: prioritizing important information, inwords that will be clear to the intended audience
degree was called Cybersecurity Engineering 1 .Similarly, the Melbourne Institute of Technology (MIT) began offering a major in cybersecurityfor both its bachelor’s and master’s programs in networking. This major enables students toacquire basic skills in the use of security tools, mitigation mechanisms, and business contingencyplanning for companies 2 . Professors from the University of Miami and the University of NorthCarolina Wilmington defined best practices for including cybersecurity courses in ComputerScience, Information Science, and Engineering programs. The goal is to help institutions seekingdesignation by the National Security Agency (NSA) as a Center of Academic Excellence (CAE)in Cyber Operations (CO). Some of these best practices
comes from a recent on-line survey sent to over 10,000 roboticists – afollow-up to the 2015 version found in [1].Overview of the US Naval Academy’s Robotics and Control Engineering ProgramThe US Naval Academy is the United States Navy’s official undergraduate-only college. Inaddition to military, character and physical training, all students complete a STEM-based set ofcore courses in addition to coursework from their chosen major which begins in sophomore year.Upon graduation they are awarded a BS in one of 32 majors and commission into the Navy orMarine Corps as officers.Our ABET-accredited program originated in the 1970s with a long-standing emphasis onmechatronics and feedback control. Robotics coursework was added in the 1990s, with
community.KeywordsData Analytics, Data Science, Project-Based Learning, STEM EducationIntroductionData analytics is the process of inspecting, cleaning, transforming, and visualizing data with thegoal of discovering insightful and critical information for decision making [1]. The integration ofdata analytics in STEM education has had a profound impact on the advancement in every sectorof industries, government, and academia today. A workforce equipped with essential data scienceskills is crucial for maintaining the United States’ competitiveness and strengtheninginfrastructure security in today’s highly interconnected digital world. By analyzing large volumesof data, data science techniques can identify patterns and anomalies that may indicate potentialsecurity
priming did not correlate with designperformance. Ultimately, this research contributes to the growing body of knowledge onbiologically inspired design in engineering education, emphasizing its potential to improve studentdesign while identifying key areas for further study and improvement.1 INTRODUCTION & BACKGROUNDBiologically inspired design (BID), which draws on nature’s principles to inspire innovativeengineering solutions, has gained attention across various disciplines due to its ability to harnessthe efficiency, adaptability, and resilience found in biological systems. By studying naturalphenomena, engineers and designers can develop solutions that are innovative, sustainable, andecologically responsible. For instance, BID has been
Artificial intelligence (AI) continues to be felt both in academia and industry, yetits full potential is yet to be exploited for the common good. While AI technologies areincreasingly being implemented, questions linger over their long-term impact on education andthe workforce. Recent research efforts have focused on promoting the ethical and responsible useof AI. As a result, explainable AI, which focuses on helping users understand how AI systemsmake decisions, has received a lot of interest [1].Even though some skepticism about AI decisions still lingers, it is already transformingworkplaces by enhancing efficiency, automating repetitive tasks, and enabling data-drivendecision-making. AI technologies such as natural language processing help to
©American Society for Engineering Education, 2025 Using Portfolios in a Flipped Dynamics Class for Homework Documentation and Pre-Class Work AccountabilityAbstractIn the Spring 2024 and Fall 2024 semesters, students at the United States Air Force Academy(USAFA) were required to create portfolios of their work in a flipped sophomore level Dynamicscourse. The decision to require portfolios was driven by three primary objectives: 1) to helpstudents organize their coursework and recognize the value of such organization, 2) to ensureaccountability, specifically by verifying that students completed the handouts associated with thecourse videos, and 3) to evaluate the neatness and documentation of handwritten homework. Thelast
inventories are assessment tools grounded in research designed to examine students'comprehension of specific concepts [1]. They are often used to assess common errors,misconceptions, or bottlenecks in understanding, as well as to evaluate course content coverage,teaching strategies, or research interventions. Concept inventory use cases and topical coveragevary across trials and iterations, and separate instruments normally do not cover the sameobjectives, topics, and outcomes. A concept inventory can be made for a specific purpose, usecase, group, or topic with specific classroom levels, subjects, target concepts, and applications inmind, as shown in Sangam and Jesiek’s [22] comparative reviews of concept inventories in thecontext of circuits.The
Next Steps for Design ToolsIntroductionSketchtivity is an intelligent tutoring software that aids in student learning of sketchingfundamentals through providing individualized feedback to freehand sketching activities [1]. Theproject has explored the role of freehand sketching in engineering design education and has foundthat learning with the software can improve spatial visualization skills [2], creative problemsolving [2], and self-efficacy [3], through enhancing students 2-point perspective freehandsketching skills. A study investigating a sketch-based game ZenSketch also indicated that studentswith improved sketching skills were more adept at idea generation and exhibited higherengagement in the design process [4]. Recent work launched
their24/7 availability, and enhancing engagement through conversation. However, they should beexamined as a reliable education tool in manufacturing, especially in adapting to different users.Here we present and evaluate an LLM-powered chatbot—the Manufacturing Adviser—inanswering various types of manufacturing questions to 4 user levels from children to experts.ITS are known for personalized learning, enabling students to progress at their own pace whilereceiving feedback. VanLehn [1] presented a meta-analytic review comparing the effectivenessof human tutoring, intelligent tutoring systems (ITS), other computer-based tutoring systems, andno tutoring in facilitating student learning. He found that the effect size of human tutoring wascomparable
been vetted by the larger cohort may be further developed with FLiTE financialsupport in these courses. Therein, FLiTE scholars are comingled with students from the generaldepartment population. This progression is shown in Figure 1. Figure 1 – FLiTE program integration with the PBL course sequence [2].Each FLiTE scholar is eligible for $500 in support for prototype development in ENGR 350.They are eligible for an additional $1,500 to further develop their idea over the summer betweenthe junior and senior years. Those product ideas showing the greatest promise are then eligible tobe used as senior capstone projects with an additional $5,000 of
©American Society for Engineering Education, 2025NSF ATE: Improving Electrical Engineering Education Structure by BridgingCTE, Community College, and University Programs through Hands-on Skills Integration: Year 11 1. IntroductionStudent engagement and retention in lower-division electrical engineering courses, particularlyamong first-generation college students, represent significant ongoing challenges. Minorityengineering students often have less exposure to engineering-related careers and applications.Studies indicate a substantial attrition rate in technical programs, with 40-50% of studentsdropping out during their first year [1]. This issue is further compounded among underrepresentedstudents, who are