, more importantly, puts their lives in greatdanger.Keywords: Construction Trades, Informal Construction, Natural Disasters, Resilient Post-Disaster Reconstruction, Underrepresented WorkforceBackground and MotivationGlobally, 7,348 natural disasters have been recorded over the last twenty years. These disastershave caused $2.97 trillion in economic losses and 1.23 million deaths. They have impacted 4.2billion people through damage to human health and injury, loss of income, destruction ofinfrastructure systems, damage to property or homelessness, displacement, as well as reducedsupply of food, electricity, and water (FEW) [1]–[3].Natural disasters severely impact all countries and communities. However, developing countries,and particularly low
perceived barriers to adoption.IntroductionEngineering programs are designed to prepare students with the knowledge and skills needed tobecome successful engineers. There are inherent differences between the academic andworkplace contexts that are widely discussed in literature [1], [2], [3]. The application of contentin the academic context is quite different from the real world. Academic problems tend to have aclear, step-by-step solution that often leads to a single answer. Conversely, engineering problemstend to be ill-structured and ambiguous without a single clear answer [4]. Some of the reasonsfor these differences relate to the scaffolding required to introduce students to concepts and toassist with the evaluation of learning outcomes. This
math and physics at Santa Fe College, and was the Teaching Assistant for Astrophysics 1 at the University of Florida.Dr. Nancy Ruzycki, University of Florida Dr. Nancy Ruzycki, is the Director of Undergraduate Laboratories and Faculty Lecturer within the Department of Materials Science and Engineering at the University of Florida Herbert Wetheim College of Engineering. Her focus is on developing curriculum baHajymyrat Serdarovich Geldimuradov, University of Florida A native of Ashgabat, Turkmenistan, Hajymyrat grew up in Bolivia and moved to the United States in 2012. Since the beginning of his computer science studies and after obtaining his bachelor’s in computer science at the University of Florida, he has gained
a shortage offreshly graduated, qualified data scientists, raising concerns for both academia and industries[1, 2]. Additionally, research on data science education assessments lacks, leaving manyuncertainties surrounding students’ pre-graduation skills. This paper addresses this limitationand develops a data science self-efficacy survey to evaluate and quantify individuals’confidence levels in applying data science skills to build data-driven solutions, with the goalto enhance the learning experience within data science education. Also, remedial activitieswere proposed to boost students’ confidence based on individual confidence levels. Surveydevelopment followed a modified Vinay approach, which guided construction of customizedassessments
. This procedure put the students to learn in the metacognition mode, enhancing theirlearning. The faculty and students also acknowledged that the present AI tools still lacked theability in complex system modeling, analysis, and calculation. Using such tools effectivelyrequires the faculty and students to cultivate the skills in prompt engineering and criticalthinking.IntroductionComputer based Artificial Intelligence/Machine Learning (AI/ML) has been a subject of studyfor many decades. Early developments included symbolic [1] and connectionist methods [2].Despite early setbacks [3], the field has flourished with the help of the attention of fundingagencies, advent of ubiquitous computing, and consumer thirst for technology. Today we
education [1]. Online learning is not a new concept, especially not in highereducation. Massive open online courses (MOOCs) were first introduced in 2008 [2]. Onlinecollege educational offerings date back to the late 1980s, starting with the University of Phoenix[3]. However, these examples were not set up for the traditional college students who were oncampus for a more intimate experience. Rather, the goal was to create an option for those whomight not be able to attend classes face-to-face due to location or schedule to still pursue highereducation [4]. Over the pandemic, all university students experienced online learning, not byoption, but by necessity. This resulted in the largest group of online learners the universitysystem had seen. The
value and success in multidisciplinary multi-year co-curricular programs such as the GCSP will also be discussed.Introduction and MotivationUndergraduate engineering students face many options in their education today, all of which canshape their academic pathway and influence their persistence in their degree program and futurecareer plans [1]. But what is it that motivates or influences a student to decide to participate inone program or activity versus another? And what influences a student’s decision to continue toengage (or not) in that program or activity? Several studies have been conducted to assess theimpact of students’ participation in various types of activities outside of the classroom onstudents’ skill development, professional
become visible quickly - socialresponsibility (e.g., public welfare), honesty, integrity, competence, etc. A systematic review ofthe engineering codes of ethics from a virtue ethics lens has not been conducted, to the bestof the authors’ knowledge. Thus, the purpose of this paper is to conduct a preliminaryinvestigation aimed at identifying the virtues of engineering leveraging codes of ethics as astarting place. The four guiding research questions of this paper are as follows: (1) RQ1 - What are the virtues embedded within prominent engineering codes of ethics? (2) RQ2 - How do the virtues across prominent engineering codes of ethics compare? (3) RQ3 - What virtues are not part of engineering codes of ethics? (4) RQ4 - What are
training material by faculty into their instructional practice (1). Examination of how such trainingis delivered is important. For example, there is a distinction in the nature of faculty development in the formof push-oriented trainings (where the push of scientific discovery by researchers and administrators drivesinnovation) as compared with pull-oriented trainings (the need expressed by faculty pulls innovationstowards approach to practical problems and needs). With respect to instructional trainings, ASEE’s NETIand ASCE’s ExCEEd, Barner et al. have provided evidence that often push-orientated development workdoes not lead to actual adoption of material learned by faculty (2). A detailed examination into the historyby Estes et al. of the ASCE
. ©American Society for Engineering Education, 2024 The Wooden Bike Frame Challenge: Learning Statics Through Hands-On Design Jenni M. Buckley PhD1,2, Amy Trauth PhD1,3, Heather Doty PhD1, Alex De Rosa PhD1 1 University of Delaware, College of Engineering 2 University of Delaware, College of Education and Human Development 3 American Institutes for ResearchIntroductionTheoretical concepts in Statics, which is typically a second or third semester course inmechanical engineering programs, build in complexity from isolated particles, then to rigidbodies
abilityto enable experimentation from any location with an internet connection, thus eliminatinggeographical constraints and offering scheduling flexibility [1–5]. They also alleviate financialburdens associated with setting up and maintaining physical lab infrastructure. Furthermore,remote labs contribute to equitable access, expanding opportunities for students fromlower-income and underrepresented minority backgrounds, especially through communitycolleges [6, 7].However, while remote labs offer these benefits, they also present challenges, as they necessitateaccess to stable internet connections, modern devices, and proficiency in using online platforms,potentially widening the technological barrier for certain groups and triggering digital
learner-centered multidisciplinary engineering pedagogy which centers onthe key question: how do we motivate engineering students of different backgrounds from aneuro-inspired perspective?IntroductionIn today’s society, the majority of encountered challenges are complex, open-ended, and hard toeffectively categorize into any single particular discipline [1], which requires cross-fieldcollaborations. To effectively facilitate both multi- and intra-/trans disciplinary collaboration,engineers need to access and understand the grounded concepts from other fields to tacklecomplex challenges. For instance, construction engineers are now facing the challenge ofhighway, railroad, and infrastructure design in response to climate change risks. As such
at Buffalo. He is the Division Chair for the Design in Engineering Education Division (DEED) for the American Society of Engineering Education 2024 annual conference. His research interests include engineering and human-centered design, advancing research methods, and technology innovations to support learning in complex domains. He has a PhD from Purdue University in Engineering Education. ©American Society for Engineering Education, 2024Toward an Integrated Framework of Empathy for Users among Engineering Student DesignersIntroductionEmpathy refers to how one understands, feels with, or reacts to others [1–3]. In engineeringdesign, empathy manifests when a designer
textbooks [1–10] have embraced visual ex-planations, with notable contributions from Apostol and Mamikon [10]. Their workstands out for explaining the integration of certain functions without heavy relianceon mathematical formulas, marking a noteworthy departure from conventional in-structional methods. Expanding on the incorporation of visual and intuitive methodologies, the fieldsof ”Control Systems” Physics have seen insightful contributions from works such as[11, 12]. In the digital domain, content creators like 3Blue1Brown [13] leveraging theopen-source Python library Manim for interactive animations, have made significantstrides in teaching foundational STEM concepts. It stands out for its clear visualiza-tions and comprehensible
[1], [2]. We have developed a junior-level Clinical Observations andNeeds Finding course as a pre-requisite to the Senior Design course. Our course is designated asa service-learning course, as it requires students to complete immersive, clinical visits with localhealthcare and industry partners. In a previous study, the efficiency of this course was evaluatedthrough pre—and post—course surveys that utilized Likert scale and open-ended questions. Itwas determined that the course was successful in increasing students’ self-efficacy as it relates tothe engineering design process, their ability to make connections with customers, and theirunderstanding of value creation. The field of biomedical engineering manifests demographics that are
online instruction [2]. However, this assumption of courseflexibility as a necessary characteristic of online education has recently been challenged asproblematic, and in fact prohibitive of an optimal learning experience [9]. For example,asynchronous learners often feel confused, requiring additional self-evaluation efforts to helpmitigate said confusion [1]. The identification of what synchronous elements matter most can helpinstructors to decide how to allocate their scarce time resources when designing and running onlinecourses, and help students to succeed at learning while avoiding lower-impact synchronousobligations in online coursework.Further, while online education has the potential to improve access to STEM learning forhistorically
necessary, little has been said about whatthey are expected to accomplish” [1]. Although much important research has been done since thepublication of that paper in 2005 on the methods of engineering laboratories, research continuesto be scarce on the purposes of engineering laboratories and the kinds of knowledge students areexpected to acquire in laboratory settings; however, literature from adjacent fields like physicsand chemistry is more developed in this regard.Zwickl et al. present an instrument known as the Colorado Learning Attitudes about ScienceSurvey for Experimental Physics (E-CLASS) [2]. In the E-CLASS, student responses tostatements like “scientific journal articles are helpful for answering my own questions anddesigning experiments
assistant professor in the Department of Mechanical and Materials Engineering at Florida International University. Dr. Dickersonˆa C™s research agenda contains two interconnected strands: 1) systematic investigatiDr. Matthew W. Ohland, Purdue University Matthew W. Ohland is the Dale and Suzi Gallagher Professor and Associate Head of Engineering Education at Purdue University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineering students and forming and managing teams has been supported by the National Science Foundation and the Sloan Foundation and his team received for the best paper published in the Journal of
, the mathematics faculty studied the sensors and systems course material, andidentified relevant mathematical background that the students should remember and build on inthe engineering course. Three assignments were prepared for the Sensors and Systems course toassess the students’ readiness to transfer the learned math skills to the sensors and systemsengineering concepts: 1) Linearization, 2) Units (and unit conversions), and 3) Calibration (bycalculating the transfer function from data). Students were assisted by the engineering course instructor to build on what they hadlearned in math to develop the targeted engineering skills in a problem-based learningassignment encapsulated in the course’s hands-on sensor-related team project
systems engineering students regardingtheir perceptions of transfer between fundamental coursework and more advanced engineeringcourses. The potential implications of this paper include providing valuable insights into theeffectiveness of current educational approaches in facilitating the transfer of learning fromfundamental coursework to advanced engineering courses, thereby informing strategies toenhance the learning experience for biological systems engineering students.IntroductionTransfer, or the application of knowledge from one environment to another, is a critical elementof engineering education, as engineers must effectively recall and apply requisite knowledge tosolve problems in higher-level courses and their future careers [1
, Transfer Students, Identity Development,Institutional Challenges, Curriculum Alignment.1. BackgroundEngineering Technology (ET) programs in community colleges represent a distinct facet ofengineering education, catering to different student populations and workforce developmentneeds compared to conventional four-year degree paths. ET programs prioritize practical,application-oriented learning, equipping students with hands-on problem-solving skills directlyrelevant to the industry. For instance, students in ET programs may engage in projects simulatingreal-world engineering challenges, fostering their ability to tackle practical issues. In contrast,traditional four-year engineering programs delve deeper into the theoretical foundations
industrial practices.Addressing this, our study advocates integrating such emerging research conceptscoupled with active learning strategies, such as special topics or projects, intotraditional engineering courses through simple enhancements to the syllabi. Thispaper outlines three case studies we implemented to integrate the topic of “GreenInfrastructure for Stormwater Mitigation and Pollution Control” intoundergraduate courses and summer research experiences. This paper discusseshow these three activities were designed and implemented. The feedback andperformance metrics from these interventions demonstrated the potential of ourapproach to enrich engineering education and bridge the gap between researchand classroom learning.1
toredefine engineering education, offering a new lens through which universities, departmentchairs, and faculty can prepare, evaluate, and train engineers for the challenges of the 21stcentury.IntroductionThe rising cost of college education and the accompanying increase in student debt over thepast decade have become major public concerns [1-5]. While a college degree can lead tomany benefits [6], the rise of online course providers such as Coursera, edX, MITOpenCourseWare [7] call into question whether the same knowledge and skills can be acquiredmore economically and effectively elsewhere [7-10]. As Rose [10] put it: “If college does not lead to skill gains, it is difficult to argue that attending college will lead to positive
, students of color, and Pell-eligible students are found to benefit the least from blocktuition, paying more per credit. This work explores the systemic inequality created by thispreviously unconsidered mechanism and will hopefully result in a much-needed conversationabout the disparate impacts of tuition structures.IntroductionEquality of access to college gets a lot of attention. The media, policy makers, and academicliterature often focus on the convoluted and secretive admissions process at elite schools andoverall college affordability [1] [2] [3]. Advocates also are drawing attention to the fact thatseemingly neutral policies such as requiring remedial courses and limiting credit transfers fromassociate degree programs can contribute to
valuablecontrol measure for assessing classroom activities.Keywords: STEM education, experiment-centric pedagogy, artificial intelligence, deep learning,education assessment, student engagement, learning dynamics, classroom observation.IntroductionScience, technology, engineering, and mathematics (STEM) education is shifting fromtraditional lecture-based methods to more immersive and experiment-centric pedagogy. Thispedagogical approach aims to foster self-efficacy, critical thinking, and problem-solving skillsamong students and enhance their interest and motivation in STEM fields [1], [2]. However,assessing the effectiveness and impact of this pedagogy poses significant challenges, especiallyin measuring student engagement during the implementation of
of leadership, project management, accountability, andsolutions-focused mental posture are a natural fit for the engineering field—a match that studentveterans can use to build a sense of ‘belonging’ as they transition.1. Background - Student VeteransStudent veterans are older, post-traditional students who pursue higher education [1-2]. Ohlandreports that economics plays a major role for non-traditional students, and especially for studentveterans. It is the primary factor to return to school, where to attend, and what degree program tostudy [3]. Institution preference is often affected by proximity to current location and to family,cost and reputation. Student veterans are motivated by career opportunities, self-improvementand personal
from Engineering Faculty and StudentsIntroductionThis is a work-in-progress about student workload. Over the past two decades, practitioners andresearchers have shown concern for student workload within faculties and schools of engineering[1], [2]. Since the late 1990s, engineering curricula have been overloaded with content andoutcome assessments, with the objective that students are able to demonstrate both technical andprofessional skills [3]. Different types of course assignments are often concentrated in specificweeks, what amplifies learners' levels of anxiety and academic stress [4]. During the pandemic,some students perceived that they have spent more time on academic tasks, without necessarilyobtaining better learning results [2], [5
, differentstudies have sought to describe the characteristics of an engineer and how these impactidentifying with engineering encompassing not only their mannerisms and modes of thinking butalso their attire and actions [1-5]. This research has also added to the scholarship on the factorscontributing to feelings of alienation experienced by historically marginalized and minoritizedstudents within engineering [4, 6-8]. In engineering, as in other disciplines, learning to becomepart of the group (i.e., becoming an engineer) is intertwined with identity formation because bothare shaped and constructed through interpersonal interactions and the discourses that emergefrom those interactions (i.e., ways of knowing, doing, and being, as well as the attitudes
) and analytical questions (Q7-Q15) were computed respectively. A blue booklet with emptysheets was given to the students to support their calculations as they answered their multiple-Figure 1.A coding example of a score of One for the perceived effort.Note. Something written in the test booklet, but incoherent and possibly only meaningful to the Participant.choice exam questions. The entries that the student hand-annotated in these booklets werecollected by the research team, who custom-created and face-validated a 3-point coding processto allow the team to categorize the effort students spent on select exam questions. In this study,each question was meticulously analyzed on a scale ranging from zero to two (Christensen et al.,2019).Figure 2.A