ethical contextsof engineering practice [1]. Engagement of students in professional courses and project-basedexperiences is typically deferred to the junior and senior years. As a result, students often fail toidentify as engineers early in their degree programs, which can lead to attrition [2], [3].The MSU RED project team members aimed to disrupt the compartmentalization of learning intopic-based courses by introducing integrated project-based courses (IPBC) early in thecurriculum. The courses introduce open-ended problems to students that require them tointegrate knowledge from multiple disciplines and to consider economic, social, andenvironmental contexts in their design process [4]. Through project-based experiences, studentsalso develop
andrise times, as well as prescription drug use to alter sleep and wake times [1]. A 2018 studyinvolving over 7,000 students across six different U.S. universities indicated a slight differencein sleep quality between genders. 64 percent of females in the study were defined as poorsleepers, compared to 57 percent of males [2]. Another similar U.S. study recorded that femalestudents typically went to sleep and rose earlier, had longer sleep latency, and more awakeningsthan males [3]. Sleep quality, rise time, sleep efficiency, and time spent in bed were better amongmale students than female students. The sleep epidemic in colleges is not confined to the UnitedStates and has taken root worldwide. A study of 4,318 college students in Taiwan examined
physical interactions inherent in traditional systems [1, 2]. The evolving nature ofeducation due to digital technologies and rapid acceptance of online education has made virtuallearning environments a vital component of modern pedagogy, necessitating and increasing theneed to understand virtual collaboration dynamics, its effects on student engagement, and sense ofbelongingness to facilitate effective teaching-learning experiences [3]. This problem is importantfor construction engineering and management (CEM) students especially because the architecture,engineering, and construction (AEC) industry is shifting toward a higher level in virtual designand construction (VDC).Existing literature emphasizes that active collaboration is greatly
resistance to design thinking principles, resourceconstraints, industry collaboration barriers, and assessment complexities. The findings highlighthow these challenges interact and compound each other, particularly in how resource limitationsaffect both teaching quality and industry engagement.The findings suggest that the inconsistent integration of design into engineering programs posessignificant challenges for developing well-rounded engineers. This study contributes tounderstanding design thinking implementation in engineering education and suggests the needfor systematic changes in curriculum development, educator support, and resource allocation tobetter prepare engineers for complex, interdisciplinary problems.1. INTRODUCTIONThe integration
competencies and seeing an example four-year student plan particularly helpful.Background and MotivationThe Grand Challenges Scholars Program (GCSP) at Arizona State University (ASU) is a co-curricular program that typically spans a student’s entire undergraduate career. Majority of thestudents join the program either before their first semester or during their first year at theuniversity. Throughout their time in the program, each student engages in a personalizedcombination of courses and/or experiences, all focused on an overarching theme of their choice(Sustainability, Health, Security, Joy of Living), to achieve five program competencies: Talent,Multidisciplinary, Viable Business/Entrepreneurship, Multicultural, and Social Consciousness[1]. Each
Mural (www.mural.co) and provided a rich set of information regarding howto prepare our students for the near future.We augmented the available information from Mural with a follow-up “pulse” survey topractitioners and faculty, with the objective of working toward consensus on defining the skillsetand mindset needed by future civil and environmental engineers with respect to the use of AI.BackgroundSince the 1950’s researchers have been collaborating across many disciplines to betterunderstand how Artificial Intelligence (AI) can provide efficient problem-solving pathways whenmodeling and optimizing [1]. The American Society of Civil Engineering has a long history ofpromoting the use of computing power in civil engineering with documented use
Majors for Solving Calculus Questions and Changes Over Years on Relevant Decision Making 1 Emre Tokgoz, 2Samantha Scarpinella 1 Emre.Tokgoz@farmingdale.edu, 2ses6506@psu.edu1 School of Engineering Technology, State University of New York, Farmingdale, NY, 11735, USA2 Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, Penn State University,University Park, PA, USAChanges in technology over the years impacted how educational objectives of STEM students’ calculuseducation are fulfilled. Traditional calculus education requires demonstrating paper-pencil solution and
demand for professionals equippedwith unique skill sets that complement AI systems is surging [1], [2]. To maintain a competitiveedge in this evolving environment, educational institutions must prepare students not only withtechnical knowledge but also with professional skills such as critical thinking, adaptability,creativity, collaboration, and ethical decision-making [3], [4]. These competencies are essentialfor thriving in AI-enhanced workplaces, where traditional roles are being redefined, andinterdisciplinary approaches are becoming the norm. In light of these challenges, the role ofeducators is pivotal in reshaping curricula and teaching strategies to address the gaps betweentraditional education and the demands of AI-driven industries [5
gradually. The main objectives are to engage students infun and educational projects, acclimatize them to campus life, and gently introduce moretechnical problems and lab equipment. More details can be found in our prior publications [10].One key component of the courses is the labs which introduce students to the common labequipment and instrumentation. Similarly, projects are essential, and students are givenflexibility in the choice of topics. Learning outcomes for the course include the ability to: 1. Solve engineering problems 2. Perform research on areas of electrical engineering 3. Write technical reports and summaries 4. Perform basic lab experiments 5. Complete a project involving both design and technical elements 6
. Douglas is an Associate Professor in the Purdue School of Engineering Education. Her research is focused on improving methods of assessment in engineering learning environments and supporting engineering students. ©American Society for Engineering Education, 2025 [Work in Progress] Examining the benefits of undergraduate service learners aiding an out-of-field middle-school teacher to deliver arts- integrated computing instruction.Introduction and LiteratureIt has been almost a decade since the Computer Science For All initiative was introduced in 2016[1]. The aim of this initiative, to provide computer science education for all K-12 students in theUnited States, was adopted by
courseAbstractThis work-in-progress research paper describes the implementation and evaluation of mentalhealth topics in a first-year engineering course at a mid-Atlantic institution. Mental health is acritical but understudied issue, with over 75% of college students experiencing moderate tosevere psychological distress, and more than 60% meet the criteria for one or more mental healthdiagnoses. Despite these percentages, mental health is rarely discussed in college classes,especially engineering, where the competitive culture often stigmatizes these discussions. Ourhalf-semester project sought to integrate mental health discussion into a first-year engineeringcourse through three overarching phases: 1) students create a mental health fidget toy
demonstrate that the multidisciplinarymaterial of advanced semiconductor manufacturing is potentially best learned through acombination of in-person lectures and hands-on lab experience and that students who have a moreinterdisciplinary background are likely to perform better due to the multidisciplinary coursecontents.Introduction:Engineering education in the fields of semiconductors and microelectromechanical systems(MEMS) have been extensively investigated as a method to teach multidisciplinary subjects andlearning across various engineering disciplines [1, 2]. In recent years there has been a significantincrease in semiconductor engineering research due largely to the Chips Act which aimed to bringsemiconductor/microsystems manufacturing back to
improving Scholarship programming.BackgroundStudents from low-income backgrounds demonstrate interest in pursuing an engineering careerto “contribute to the well-being of their communities” through engineering and for theprofessional and financial opportunities it can afford, among other reasons [1, p. 4]. However,low-income students face barriers in pursuing engineering, such as others' lack of belief in thestudent’s pursuit of a STEM education, their motivations and interests not being supported inSTEM education, and the financial impacts of pursuing STEM education [2]. Furthermore, a"deficit discourse" pervades the experience of low-income students, which results in "othering"this group of students [10, p. 5]. Researchers urge educators to
rely heavily on the admission process toidentify the most academically successful and capable students. Consequently, many institutionsbelieve graduate-level attrition (i.e., early departure from a student’s intended graduate degree) isnot a critical issue and occurs due to student’s “choice” not to persist [1], [2]. This premise suggeststhat doctoral attrition is not a problem with the academic system but with the students themselves.However, scholarship states that for institutions to be responsible for doctoral attrition, “standardsrates across time in the system should prevail [3, p.21].” With this in mind, graduate educationdata that goes back to the 1960s has shown a consistent pattern of doctoral attrition with a slightincrease over
stress reduction, an increase in confidence,allowing rechecking their work, and improved comprehension of questions. The Latinx equityindex could further improve by implementing this practice to all exams, and by making it adepartment-wide or institutional norm. These results seem to indicate that untimed exams withhigh context questions and mandatory office hours could decrease student testing stress andimprove Latinx and female equality indices. The intervention needs to be repeated for severalsemesters and with larger sample sizes in the future to obtain statistically representative results.Keywords: untimed exams, high context framework, low context framework, course equity index,Latinx.IntroductionChavez and Longerbeam [1] researched the
Society for Engineering Education, 2025 The Role of Predictive and Generative AI in Shaping Modern Education: Current ApplicationsIntroductionAI in education (AIEd) has been researched for over 30 years, with the International AIEdSociety (IAIED) founded in 1997 to advance the field [1]. The term ”artificial intelligence (AI)”was coined by John McCarthy in 1956 during the Dartmouth Conference, marking the formalbeginning of AI as a field [1]. Machine learning (ML) is a subset of AI that enhances its ability tooptimize operations and provide real-time responses. It enables computers to act, think, learn, andoperate independently within the broader AI framework [2]. Within this framework, generativeAI represents a
thrive.IntroductionIn any educational setting, it is crucial that instructors receive feedback from students on howeffective their instruction is. Both students and instructors benefit from improvements toteaching, pedagogy, and the classroom environment [1]. Tools that provide students an avenue toexpress what works and what does not will provide instructors with critical feedback to makeintentional improvements in their classes [2]. This process is even more important at institutionsthat serve marginalized student populations, in which the normative culture and structure ofhigher education was not intended to support the success of these students.Most higher education institutions provide student opinion surveys, sometimes calledevaluations, at the end of
for being a “prototypicalmasculine profession” [1, p.351], where “‘doing the job’ often entails ‘doing gender’ …performing certain kinds of masculinities” [2, p.4]. Performing masculinity can present itself inthe form of distancing from traditional feminine attributes (e.g., social and girly) to embrace themore masculine (e.g., being strong and acting ‘normal’ in engineering) [3]. An environment thatperpetuates masculine social norms creates a hostile environment for individuals who do notperform or present themselves according to those standards [4]. The exclusionary environmentperpetuated within engineering can compound feelings of belonging uncertainty as women andother minoritized genders attempt to assimilate into engineering and be
growing 2024 cohort of 61 students. Findings indicate significant success, withover 80% of students reporting high confidence in engaging in class discussions andcollaborating with peers. Additionally, 64% expressed satisfaction with mentorship, citing itplayed an important role in fostering their sense of belonging. Nearly 90% of scholars feltsupported by faculty and peers. However, challenges remain, as some students reporteddifficulties in forming meaningful friendships and expressed a need for improved mentorshipquality.IntroductionDemand for employees in advancing computational fields continues to increase [1]. However,recent turbulence in the technology job market, including significant workforce reductions, hascreated new challenges
inimplementing our Delphi processes, we contend that this approach to a Delphi study offers aframework for identifying potential threshold concepts in interdisciplinary subfields ofengineering. IntroductionThreshold concepts are transformative ideas that fundamentally change how learners engagewith their disciplines, both cognitively and ontologically [1]. In engineering education, thetransformation in cognition, identity, and practice is often described as thinking more like anengineer and feeling more like an engineer [2]. Although this way of thinking about fundamentalknowledge in a field was proposed just over two decades ago, its identification and applicationare widely studied in single-disciplinary
electric vehicle (EV) technology. CED explores theintersection of air quality with EJ and sustainable transportation topics from a local geospatialperspective. Initial findings show that CED increased students’ understanding of the engineeringdesign process and the role of incorporating EJ in design solutions.After several years of classroom testing and revisions, CED is now published and freelyavailable through the TeachEngineering online digital library to extend its reach and adoption.IntroductionEngineers act in the service of healthy communities [1], and Environmental Justice (EJ) is a keyelement of ethical engineering. This reinforces the importance and necessity that engineers mustengage with all stakeholders and assess the value and
promoting innovative practices that define the future of higher education in theregion.Keywords: Thematic, Engineering, Education, Trends, ConferencesIntroductionEducation is an essential pillar of social progress as it drives economic development and fosterssocial equity. It has been widely demonstrated that high-quality higher education fosters thedevelopment of critical and well-informed citizens who are capable of making sound decisionsand contributing significantly to the creation of a better society. In this context, the increasingcomplexity of new high-tech solutions and innovations is generating a demand from employersfor new ways of thinking and skill sets [1]. In addition to the above, and considering the potentialchanges in technology
2017. ©American Society for Engineering Education, 2025 Immerse Students in AI-Infused Cybersecurity Through Software Process1. IntroductionCyberspace and the Internet have become an integral part of every nation, such as cities andcoastlines. They serve as the backbone for today's economy because we perform all of our dailyactivities, including shopping and banking, on the Internet. [1]. Due to the COVID-19 pandemic,all organizations were compelled to transition online and must now adjust to the "always-on"environment to maintain connectivity with their consumers [2].The expansion of the Internet, the rapid growth of cyberspace, and the always-on world have allplayed a significant role in the remarkable
STEM/STEM adjacent major.IntroductionCourse-based undergraduate research experiences (CUREs) focus on creating an inclusiveresearch community for students and are excellent first-time research opportunities. Althoughclear definitions of CUREs vary, the elements they provide remain consistent. Women in STEMwho benefit from CUREs that are specifically designed for them participate in a first timetangible and quality research experience, engage in a collaborative learning environment,exercise scientific practices, and receive mentorship and support that address gender disparitiesin their various disciplines [1-3]. Strategies to increase gender diversity in STEM have beenemployed nationally over the years, with a focus on various collaborative
customized teaching approach, developing a unique curriculumsystem, organizational structure, and management framework. The program isdedicated to cultivating high-caliber interdisciplinary talents equipped withprofessional expertise, innovative capacity, leadership potential, and globalperspectives. By integrating practical training, it enhances students’ engineeringdesign capabilities, preparing them to contribute to major engineering andtechnological advancements.2.1 Program Features 1:Personalized Curriculum SystemThe Advanced Engineering Education Program emphasizes students' knowledge,design skills, and creativity, following the principles of Problem-Based Learning(PBL). It offers a personalized curriculum system combining required and
there were similar effortswithin academia, by using ASEE’s Peer paper depository system, employing multiple phrases.The phrase “rapid tooling” yielded 4636 entries, “rapid tool making” yielded 4139 entries,“direct rapid tooling” yielded 2910 entries, and finally “indirect rapid tooling” yielded 251entries. Most of these entries involved one of the keywords within the phrase, yet there were a lotof papers found focusing on rapid prototyping or use of 3D printing in product or system designand development, while some others employed 3D printing as a teaching tool. A very smallnumber of papers actually was centered on rapid tooling like the one by Hoekstra [1], but was notrelevant to workforce development. After these initial attempts, a new
identities inSTEM fields. LGBTQ students in STEM often face significant barriers, including unsupportiveand hostile environments, harmful biases, heteronormative STEM spaces, and marginalization,as well as a lack of understanding of their experiences both inside and outside the classroom [1-4]. These challenges make LGBTQ students less likely to be open about their identities withSTEM peers, which can negatively impact their sense of authenticity, belonging, and persistencein these fields [5]. Such barriers can hinder professional formation, as LGBTQ students maystruggle to reconcile their sexual or gender identities with the dominant norms and cultures ofSTEM disciplines, creating tensions and identity threats for these students navigating
, thermodynamics presents a practical challenge: it demands constantlookups of property values from massive data tables. Students and engineers must flip through © American Society for Engineering Education, 2025 2025 ASEE Annual ConferenceFigure 1 – A typical tabulated properties of a common substance in thermodynamics. The table is extractedfrom (Michael J Moran, 2010).these tables, find the right values, and then use them in detailed calculations. Even simple problemscan turn into lengthy processes as each new step requires another round of table lookups andnumber crunching.While there exist some commercial software such as EES (F-Chart Software, 2024), REFPROP(NIST, 2024), CoolProp (Ian H
,participants will be supported in designing course projects that make use of the smartmanufacturing facility. Ultimately, the series of seminar focuses on incorporating smartmanufacturing technologies and applications into undergraduate education. Finally, thispaper will present feedback and assess the effectiveness of the seminars from theparticipants' perspective.IntroductionThe rapid development of Artificial Intelligence (AI) continues to challenge andtransform the traditional manufacturing industry [1]. However, current engineeringtechnology curricula often struggle to keep pace with the needs of modern AItechnologies [2, 3]. In order to bridge this gap and prepare students for the future ofindustrial innovation, the School of Engineering
students to build broad professional abilities while considering a varietyof restrictions and designing applications that go beyond technical content understanding [1].Including framing engineering in a larger social perspective will also aid to retain students whoidentify as female or from other underrepresented minority groups, who have been proven to bemore sensitive to the link between engineering and enhancing people's life [2,3]. According toChristensen and Ernø-Kjølhede [4], the engineering education community globally values socio-technical thinking and capabilities. According to research on the benefits of incorporating socio-technical abilities into engineering courses, engineers must be deliberate and careful whiledeveloping solutions