doesn’t usually match the mental models that undergraduate searchers areaccustomed to when using Google. In human cognition, mental models are important schemas of the world that people use toreason, solve problems, and make inferences across situations [1]. When students apply theirmental models of Google-like search expectations to single search bars on library websites orscientific databases, they are often met with confusing, unexpected, or incorrect results. Thepurpose of this exploratory study is to evaluate undergraduate College of Engineering andCollege of Sciences and Arts students’ real-world search strategies during a library instructionsession at Michigan Technological University (MTU). College of Engineering students
Developing Complex Problem-Solving Competency: An Exploration Based on Engineering Teachers’ PerspectivesBackgroundComplex problem-solving (CPS) has been considered as one of the key competenciesfor professional engineers [1]-[2] and has been increasingly emphasized byinternational engineering education certification bodies (for instance, ABET [3]).However, general observations of engineering education practice show that althoughcultivating students’ complex engineering problem-solving competency has become acommon vision for education researchers and practitioners, there is an obvious gapbetween research progress and real classroom practice [4]-[6]. Although differentframeworks have been presented by researchers to
challenge students and facultyto think beyond their disciplinary expertise and work on complex problems that requireperspectives from multiple disciplines. Despite the rise of these interdisciplinary programs, thedisciplinary silos that persist in university settings create several structural barriers that hinderinterdisciplinary programs from achieving their full potential; these include conflicts in policies,procedures, and budget models across disciplines [1]. While several of these conflicts have beenexplored by researchers in the early 2000s [2], [3], the persistence of the challenges coupled withthe urgency of interdisciplinary work to address global challenges warrants renewed attention tothese issues. In particular, despite the challenges
we will propose appropriate supports, such as workshops andgroup activities, to help international students in engineering adjust to the gender-related culturein the U.S.IntroductionInternational graduate students in engineering are a significant presence in the U.S., with manyof them hailing from countries with distinct cultures from that of the U.S. The Institute ofInternational Education reported that 385,097 international graduate students were enrolled inU.S. higher education during the 2021-2022 academic year [1]. In addition, 54% of internationalstudents pursued degrees in science, technology, engineering, and mathematics (STEM) fields,with a majority of them enrolled in engineering and computer science programs [1]. In terms ofthe
reasons why some students view an engineering degree as atransaction, which can help shape more effective approaches to their professional preparation.IntroductionWhile existing literature suggests undergraduate engineering students’ sense of belonging andengineering identity are indicators of their likelihood of graduating and feeling empoweredwithin their major [1], not all undergraduate engineering students desire a strong sense ofbelonging among their departmental cohort or instructors. With the goal of effective professionalformation of diverse types of engineering students, this single case study seeks to provideinsights into the experiences of one minoritized engineering student with a low sense ofbelonging in his engineering department
Classroom Integration: A Critical Feminism Perspective Anna Yinqi Zhang Pennsylvania State University Brian R. Belland, PhD Pennsylvania State University ‘I'm really big into gender equality… women’s rights’ — informant IntroductionThe underrepresentation of girls and women in Science, Technology, Engineering, Mathematics(STEM) has been a long-standing concern for many [1], [2]. Despite a tremendous increase inwomen's college enrollment, men continue to outnumber women in STEM fields, and bygraduation, men outnumber women in nearly every Engineering and Science major and thedifference in majors like Engineering
significantamount of stress from many different sources. Previous work has demonstrated a correlationbetween the amount of discrete stressors (including academic and personal) and the quantifiedstress level of graduate students. However, more qualitative analysis is still needed to moreaccurately characterize the stressors graduate students face, and the coping mechanisms they useto mitigate the ill effects of stress.This paper seeks to answer the following research questions: (1) What elements of theengineering graduate student experience cause students stress? And (2) What methods of copingdo students depend upon to persist in engineering graduate education? To answer thesequestions, we surveyed graduate engineering students at a mid-sized Mid-Atlantic
engineering students should provide at least five things to lead to students’further academic success and prepare them for the job market: 1) material mastery, 2)communication, and collaboration, 3) software/programming skills, 4) learning andmetacognition, and 5) confidence. Students in traditional lecture-based classrooms may not betaught these skills [1][2]. Numerous studies have shown that active and cooperative learningclasses are better at addressing these than traditional lecture-based classes [3]. Some examples ofActive learning (AL) and Cooperative learning (CL) [4] are 1) Flipped classroom, 2) Studentpresentation, 3) Student projects, 4) Student discussion, and 5) Student group work.A traditional calculus class is often content-driven and
, especially as they navigate across and within different modalities,sometimes simultaneously. Therefore, to be able to design and facilitate effective HyFlexenvironments, educators must understand the relationship between students' self-regulation andtheir choice of daily participation across modality. In this research, by comparing students’ self-regulation skills and attendance patterns, we examined the relationship between participationchoices and self-regulation in a HyFlex environment. 1 Literature Review HyFlex HyFlex, short for hybrid-flexible, is an
known that female students often experience a “chilly” cultural climate in engineering,affecting many student outcomes, including persistence in engineering programs, but the currentliterature lacks a comparison of women’s experiences across different engineering disciplines.Perspectives of male students on gender equity and perception of cultural climate across differentdisciplines are also missing. We studied three engineering disciplines—aerospace, civil, andchemical—with varying proportions of female students to investigate the following researchquestions: 1) What is the current state of the cultural climate for women studying engineering intheir respective disciplines at the studied university? How do increased proportions of
= 𝑠𝑖𝑛(𝑥) = 𝑥 − + 6 120 2 4 𝑥⁄ = 𝑐𝑜𝑠(𝑥) = 1 − 𝑥 + 𝑥 𝐴 2 24 𝑦⁄ 𝑥 3 2𝑥 5 𝑥 = 𝑡𝑎𝑛(𝑥) = 𝑥 + 3 + 15 𝐴2 = 𝑥 2 + 𝑦 2 1This paper is not written from a research perspective. There was no collectedstudent data. This paper will contain a full written abbreviated chapter that can beincluded in any first semester trigonometry or physics course. Formula derivationswill not be included, and knowledge of radian measure will be assumed
may help other educators, it is worthintroducing, at a fundamental level, why we decided to adopt the ungraded classroom in the firstplace. To do this, we ask a question: How does an expert academic or practitioner learn deeplyand master their field? Marshall Lib asked this question to ASEE in 1996 [1]. While he used theanalogy of learning to play a sport to how expert engineers form, and that often that formation isoutside of the classroom and subsequent to the formal education of the person, we see significantopportunities to heighten engineering formation in the classroom through pedagogical techniquesthat follow the call of Marshall Lib. Again, how does an expert academic or practitioner learndeeply and master their field? Quite simply
consideration of theirefforts and completed correct work.This paper will discuss these ungrading efforts in the course, student feedback throughout the semester, andrecommendations for other instructors interested in applying an ungrading approach in their courses.BackgroundThe process of assessment through standard letter grades and the traditional 100-point scale has developedover the past few centuries, driven by the push for uniformity and consistency in assessment betweeninstitutions.1 Of course, the degree to which uniform objective assessment system through grades has everbeen truly achieved can easily be questioned, as in part noted by the wide range of grades that could beassigned to the same submitted work from a range of different assessors
, identifying curricular laboratory activities that areeducational, engaging to all students, and that meet students’ career interests is valuable insupporting a positive engineering educational experience.IntroductionIncorporating accessibility topics into engineering curricula is important toward training futureengineers in inclusive design, yet these topics are not commonly addressed in engineeringcurricula [1] . Beyond the didactic motivation to include inclusive design topics for careertraining, previous work has also described that including accessibility and disability topics canincrease participation of students with disabilities and other historically excluded andunderrepresented (HEU) groups in the engineering classroom [2]. In addition
from all 50 Democrats and19 Republicans [1] which authorizes $550 billion in new investments in various infrastructureprojects around the United States in addition to renewing funding for ongoing efforts. It alsoinvolves funding for more traditional infrastructures like roads, bridges, airports, ports, rail, andtransportation in addition to repairing water systems, rebuilding the electric grid, enhancingbroadband and internet access, and building a network of electric vehicle chargers to encouragesustainable transportation modes. Additionally, it contains $21 billion for the environmentalcleaning of hazardous waste sites and $1 billion to "reconnect communities," especially Blackand low-income neighborhoods that were fragmented by earlier
education.Program FrameworkThe conscious competence model (CCM) was used to lay the foundation for the mentortraining program. The model comprises 4 stages of competence from unconsciousincompetence to unconscious competence in learning skills. This training program was set onthe first two stages which are unconscious incompetence and conscious incompetence.Unconscious incompetence is the stage when the individual is unaware of the deficit of skills[1]. In the first stage, educators were requested to define mentoring in their own terms.Coding for the qualitative analysis of the data were used which included words such as:guiding, nurturing, information, mutual, share experience, engage in growth, relationship,support, advise and learning. The data
intersection of engineering and the humanities acrossCanada, our community is limited to CEEA-ACÉG members who are interested in, and alsohave the capacity to actively engage with, our smaller community on a monthly basis. CEEA-ACÉG’s annual conference represents a valuable opportunity for us to dialogue with and learnfrom colleagues who may not be regularly engaged with our SIG.The theme of the CEEA-ACÉG 2022 conference was “Transforming Learners to Transform OurWorld.” The conference agenda focused on engineers’ responsibility to address “wicked”sociotechnical problems, and highlighted the value in bringing together “people who are notafraid to push, bend, twist, and break apart the boundaries of traditional engineering practice”[1]. To address this
, Technology, Engineering, and Math) students,change their major at least once while in university [1]. However, much of the research on thistopic focuses on the ‘why’ of major changes rather than the ‘where’ [2]–[5]. Such studies employframeworks like expectancy-value theory or social cognitive career theory to explain studentrational for changing majors, often highlighting the role elements like grade point average [6],salary expectations [7], or engineering identity [8] play in the decision-making process.Just as important as knowing why students change majors, however, is knowing what majorsstudents are leaving and entering. To this end, a historic dataset was used to examineundergraduate engineering student degree program changes. The following
community college pipeline has played an important role in providing access to highereducation for students whose circumstances may have precluded their enrollment at four-yearinstitutions for the entire duration of their undergraduate education. This is especially true forwomen, members of marginalized communities, non-traditional students over the age of 24, andindividuals of low socioeconomic status, all of whom continue to be underrepresented in STEMfields. Roughly 40 percent of first time in college (FTIC) students pursuing higher education inthe United Stated start in community colleges [1] [2]. Out of 632,051 students who first enrolledat a community college in the fall 2015 term, 31.6 percent (199,913) transferred to a four-yearinstitution
Participation in Computing/Engineering (BPC/BPE)initiatives almost exclusively center a binary gender model focusing on girls and women as staticcategories [1]. However, recent surveys [2] suggests that 2.1% of Gen Z adults identify astransgender (that is, have a gender identity that differs from the sex they were assigned at birth[3]). Additionally, in research presented at the 2022 RESPECT conference, we showed that thereare at least 10,850 nonbinary1 K–12 students in the United States registered across nine differentstates [4]. As the number of people who identify as transgender and nonbinary (TNB) increase,current best practices regarding approaching gender in computing and engineering need to berevised [5]. To further support future gender diverse
majors.IntroductionThere has been significant study associated with the equity of access to college and the collegeadmissions process [1] [2] [3]. There are also advocates who are drawing attention to the fact thatseemingly neutral policies such as requiring remedial courses and limited credit transfers fromassociate degree programs can have unintended consequences and contribute to structural racismin higher education [4]. However, there has been less study of policies regarding tuition and feesoutside of financial aid and assistance. The work recently done in [5], explores how tuition and feesystems in different countries support or inhibit participation of low-income students. While thereare numerous financial aid options in the form of grants and special
instructors a unique student perspective and insight into the efficacy of thecourse design. Our hope is that colleagues interested in teaching a similar course at their owninstitutions can adopt our methods, and thereby reduce their preparation work and increasestudent engagement.1: Introduction1.0: MotivationML is becoming an essential component of the modern, evolving maritime industry, with use-cases including autonomous navigation, ship maintenance and monitoring, voyage optimization,ship design, and smart utilization of onboard electrical power distribution systems [1], [2]. Withthe industry expected to spend almost three billion dollars between 2022 and 2027 on MLsolutions, ML scientists and engineers with domain-specific expertise and the
following research questions: 1) What types of programs are offered to support community college students in engineering-for-transfer programs? 2) What aspects of these programs contribute to the success of students who have responsibilities like employment or caretaking of another person? The systematized literature review resulted in nineteen peer-reviewed journal articles,published after 2010, collected from the Compendex and ERIC databases. These papers werethematically analyzed and results compared. These papers all addressed, to some extent, theexperiences and transfer outcomes of working or caretaking community college students inScience, Technology, Engineering, and Mathematics (STEM) degrees. Results
the world. Developments overthe past decade have focused on sustainable long-distance aviation technologies, urban airmobility, low-cost access to space, and the commercialization of human spaceflight, to name buta few. These and other projects continue to demand talented engineers to support their researchand development. The NSF REDO-E grant supporting this study identifies several ways in whichdiversity in engineering consistently yields improvements across many facets of the discipline.Groups with higher diversity consistently demonstrate improved overall performance [1] as wellas improved understanding of relevant subject matter [2]. Such groups are also more adept atmaking ethical decisions [3], which is of especially critical
. (Engineering Education) graduate student at Utah State University. His M.S. research is in experimental fluid dynamics, his Ph.D. work ex- amines student social support networks in engineering education, and his other research activities include developing low-cost technology-based tools for improving fluid dynamics education. ©American Society for Engineering Education, 2023 Uncovering Student Social Networks: Entity Resolution Methods for Ambiguous Interaction DataIntroduction Over the last century, cognitive psychologists have proposed that social interactions are akey component of student learning [1]–[4]. For example, Albert Bandura’s Social LearningTheory [5] posits
groups can be found to support improved curriculumdevelopment.IntroductionAn increasingly strong body of educational research suggests that Problem-Based Learning(PBL) is a highly effective way of training students for success in the workforce [1]-[3].Specifically, research shows that engineering students benefit from the “real world” elements ofPBL teaching methods more than the traditional teaching strategies often found in collegiateengineering programs [1]-[3]. However, while many engineering faculty are experts within theirfield, they are often not experts in pedagogy and may not have the expertise needed tosuccessfully navigate a transition from traditional teaching practices to PBL [4], [5].Managing a successful transition to a PBL
industry's nominal value added was 4.1 percent of the GDP andis projected to reach a Compound Annual Growth Rate of 5 percent from 2022-2026 [1]. Thisprojection of industry growth exacerbates the ongoing crisis of the current workforce shortage inthe U.S. construction industry. As the Millennial generation continues to enter the workforcewhile the Baby Boomers generation is approaching retirement, there is a growing concern thattraditional engineering and construction education systems do not prepare students for variousworkforce challenges, and the workforce demand will not be met in a timely manner. BabyBoomers are the generation born between 1946 and 1964 that are currently in management andleadership positions. Baby Boomers' generation stands
relationshipsbetween time management, self-efficacy, course load, and academic performance. Students in thefully remote course reported better time management and self efficacy than students in the hybridcourse, and there were significant relationships between time management, self efficacy, andacademic performance in both course formats.IntroductionWhile online classes have been widely available for a few decades [1], the COVID-19 pandemicforced college students who had selected in-person engineering instruction into online or hybridclasses. These learning environment changes led to shifts in students’ time management behavior.Because undergraduate engineering programs are career-centric, helping future graduates developskills like time management before
of makerspaces in academic libraries over time, with anemphasis on the way that these spaces have been used in engineering programs and pedagogy.University Makerspaces: Brief HistoryMakerspaces as university resources are a relatively recent development, dating back to around2001, when MIT opened its Center for Bits & Atoms [1]. By 2015, a section of the annual NMCHorizon Report: 2015 Higher Education Edition was devoted to a discussion of makerspaces.Horizon reports attempt to identify key trends and technologies impacting higher education, andit predicted that the time to adoption of makerspaces was two to three years. The report stated: The turn of the 21st century has signaled a shift in what types of skillsets have
rights and obligations, and monitoring andregulating risk factors. The paper also assesses the respective strengths and limitations of each ofthe two approaches of partnerships. This paper also studies the applicable situations of the twocooperation modes. Based on the comparative case study, this paper summarizes the key success factors foreffective partnerships between Chinese universities and companies in preparing professionalmaster’s students for the workplace: (1) shared understanding of the educational functions ofpractice studies; (2) clear deliverables; (3) stability of practice duration; and (4) flexibility inconnecting students to projects.1. Introduction With the development of science and technology, the demand for high-end