. More summercamps should be hosted on various engineering topics, to broaden access to hands-on activitiesthat provide enriching learning experiences to diverse student populations and encourage studentinterest in engineering and related fields.Keywords - STEM engagement, Engineering Education, Women in Science and Engineering,Industrial Engineering, Human Factors EngineeringIntroduction In Science, Technology, Engineering, and Mathematics (STEM) education, fosteringdiversity and inclusion has been an important educational goal for institutions for many years[1]. Historically, women have been underrepresented in STEM disciplines, creating a lack ofrepresentation and overall diversity [2]. In 2019, the National Science Board (NSB
programs play a pivotal role in nurturing the personal and professional developmentof students. Initiatives such as the UMBC Meyerhoff Scholars [1], Louis Stokes Alliances forMinority Participation (LSAMP) [2], McNair Scholars [3], and GradTrack Scholars [4], [5],programs exist to prepare undergraduate students for graduate school. The GradTrack Scholarsprogram is a comparatively new initiative, and it has evolved over the past 3 years to establishitself as a strong virtual mentoring program committed to the preparation of undergraduate studentsfor graduate school [4]. While GradTrack has demonstrated positive impacts on participants’preparation for the graduate application process, the question remains: what impact doesGradTrack have on
’ responses across educational research interests of effectiveness, satisfaction, and qualityof education materials. The paper will present these results and discuss the implications of ourfindings and conclusions.IntroductionWhile open-ended questions in survey studies are very valuable in providing authentic andnuanced insights toward the respondents’ opinions, it’s often challenging to analyze suchquestions in large quantities. Not only the time and cost required in large open-ended questions’analysis make it difficult for researchers, but also the complexity of such free text posessignificant difficulties [1]. For example, qualitative analyses need to consider factors such asmultiple data formats, contextual requirement for interpretation
PAPERSThe First-Year Programs Division (FPD) seeks paper and workshop proposals on topics related to FPD’s primaryobjective: scholarly work relating to educational activities associated with first-year engineering students, includingfreshmen and transfer students. Topics/themes of interest include, but are not limited to, those listed in Table 1.Table 1. Topics/themes of interest for First-Year Programs Division [1]. Topic Call for Papers Themes Research Advances in engineering education research as it applies to the first-year experience; Innovation Innovative approaches to first-year engineering education; Assessment Pedagogical strategies for first-year learning objectives, ABET accreditation requirements
reducing bias and enhancing academic integrity. The systemwas piloted in undergraduate chemical engineering courses, providing initial evidence of itsviability. Through a comprehensive analysis comparing student outcomes under traditional andanonymous grading methods, the study seeks to empirically validate the effectiveness ofanonymous grading in improving student performance and psychological well-being,contributing to the development of more equitable educational practices.IntroductionAcademic evaluation has traditionally been dominated by exams and quizzes. While widelyused, these conventional approaches have come under scrutiny for their potential to perpetuateimplicit biases. Among these, the halo and horn effects [1][2] stand out, where an
is also included as additional insight into the results obtained quantitatively.ResultsThe authors measured the students’ team effectiveness using the CATME survey directly beforethe project requirement was changed, and at the end of the project but before the projects weretested and grades were assigned. The CATME survey measures the students’ perceptions ofthemselves and their team members with respect to five different categories: contributing to theteam’s work, interacting with teammates, keeping the team on track, expecting quality, and havingrelevant KSAs (knowledge, skills, and abilities). In addition, the CATME survey requires studentsto answer the following questions with respect to the individual: 1. I would gladly work with
themes. Both sets of codeswere compared, and similar codes were grouped and re-titled based on coding themes. Inter-rateragreement was reached during the analysis.Results and DiscussionPreliminary analysis suggested eight emergent themes: (1) problem-solving, (2) transferability ofknowledge, (3) ethical consciousness, (4) sustainability, (5) self-efficacy, (6) knowledge,information, and literacy, (7) gaps and improvements, and (8) misconceptions. Table 1 shows thethemes and examples of participant responses for each theme. The frequencies of codes relatedto each theme are also provided. Of the total number of codes generated for each theme, thenumber of codes generated by males (M) and females (F) are also shown.Table 1. Themes and examples of
), we focus on the potential of leveraging the CPPs as a way to increase students’ self-efficacy, persistence within engineering, and sense of belonging. This study addresses thefollowing research question, “What factors influence first-year engineering students’ perceptionsof their engineering self-efficacy, design self-efficacy, intentions to persist, and sense of belongingthrough the application of community-partnered projects?”Methods1. Development of the Survey InstrumentThe survey instrument was developed during the fall of 2023 by an undergraduate student andthree faculty members. The instrument included a total of six scales (please refer Table 1). Thesurvey instrument measures the perceptions of first-year engineering students
undergraduatesfrom marginalized groups in engineering and to undergraduates who may not have the resourcesduring the academic year to participate in research at their institutions. Students are selectedusing holistic measures by each of the sites. The curriculum for the summer program aims tofoster self-efficacy in research through (1) participation in authentic research work, (2) facultyand experienced graduate student researcher mentoring, and (3) community building across thenatural hazards engineering and research communities.Students meet weekly through virtual means to discuss their research progress, address anychallenges, and discuss the rhetoric of scholarly publications and other activities. REU studentsalso participate in career development
, ChatGPT may be susceptible to security flaws that could result in databreaches and the disclosure of students' private information.In a parallel study, a survey instrument is designed and developed to assess engineering students’perceptions on the use of ChatGPT. This study aims at answering the following research question,‘How do students housed in engineering programs perceive the use of ChatGPT’? To answer thisresearch question, a survey instrument was designed with a few open-ended questions, and thesurvey instrument also collected participants’ demographic information. The open-ended questionsincluded in the survey are (1) Describe the different words (as many as you can) that come to yourmind when you think about ChatGPT? (2) How do you see
Organizations in Higher Education through a Critical LensAbstractIn this critical theory review paper, the researcher seeks to 1) reveal the current landscape of theresearch literature on science, technology, engineering, mathematics, and medicine (STEMM)mentorship that occurs within student organizations at institutions of higher education, 2)determine if the mentorship described in these articles exemplify critical mentorship as defined inthe literature, and 3) determine if the addition of critical mentorship components adds value,defined here as a synergistic effect, for STEMM students who serve as mentors or mentees throughtheir student organizations. As the intersection of STEMM mentorship and student organizationsat institutions
institution. The exchange program culminates ina summer research symposium where the students present their work [1].The “Autonomous Instrumented Robotic Sensory Platforms to Advance Creativity and EngageStudents” (AIRSPACES) project led by the principal author at UMES leverages the SEIP platformand integrates its scope within its framework. The AIRSPACES project is also funded by MDSGCannually to engage UMES engineering and other STEM students in hands-on out-of-classroommultidisciplinary team projects throughout the year [2-4]. The UMES-UMD ( University ofMaryland College Park) collaborative project titled “DREAM: Developing Robotic Explorationsusing Agrobots and Moonbots” builds on the foundation provided by the AIRSPACES project andexpands its
done on these topics. We conclude the paper witha discussion and recommendations for future work.IntroductionWhile generative artificial intelligence (Gen AI) first became available for widespread use in late 2022(in the form of OpenAI’s ChatGPT platform), this milestone is the latest in a long march ofincreasingly sophisticated developments in harnessing computational power [1] for a variety ofapplications. For this paper, we will generally address how computational power and the use of datais increasingly impacting the practice of leadership. We will speak broadly to the impact of big dataand more specifically to Gen AI, but all under the umbrella term of data-enhanced leadership. Weuse this phrase to capture the phenomenon that
system isviewed by social cognition theory as a discrete collection of self-beliefs connected to multiplefunctional domains rather than as an all-encompassing characteristic. Comparative researchdemonstrates that motivation and action are well predicted by domain-linked assessments ofperceived efficacy [1]. An individual’s awareness to apply these abilities when faced with a taskor situation is described as self-efficacy. This perception, whether precise or not, portrays one’scapability to coordinate their cognitive, physical, and emotional abilities to achieve the goals ofthe task [2]. According to research, entrepreneurial self-efficacy (ESE) is a significant predictor ofentrepreneurial interest [3] – [5]. As such, ESE provides critical
with specific outreach goals. Ultimately, the varied learning, social, and logicalmodels being used to shape engineering and physics outreach which can aid in programtransferability are showcased along with how pedagogical theories can advance the goals ofengineering and physics outreach programs.Introduction Motivated by a desire to introduce new solvers into the world, there is a national push toincrease the number of students pursuing and obtaining science, technology, engineering, andmathematic degrees. University-driven outreach to preschool through 12th grade students is oneway to encourage this next generation. Outreach programs exist from single day events [1] toweek long summer camps, to more continuous STEM clubs [2]. Many
-test in R to compare team-level psychological safety between the treatment and control teams and found no statisticallysignificant difference. Our findings suggest that our intervention either did not work or oursample size was too small to detect the effect of the intervention. We conclude by assessing whythe intervention may not have worked and by outlining next steps for this line of work.1.0 Motivation and backgroundPsychological safety has been defined as the “shared belief that a team is safe for interpersonalrisk-taking” [1, p. 354]. Individuals on a team with high psychological safety feel comfortablebeing themselves, making mistakes, sharing ideas, and admitting failures [1], [2]. Prior researchon psychological safety on engineering
into practice. ©American Society for Engineering Education, 2024 WIP -Exploring and Expanding Support for International Students in Engineering: Faculty Reflections Beyond Academic BoundariesAbstractExpanding on our previous work [1], this research delves into self-reflection among engineeringfaculty members who were international students. Our primary objective is to extend learningfrom using an autoethnographic lens to understand the experiences of faculty members who wereonce international students themselves, towards the development of a research study tounderstand how (if at all) faculty members in the United States address the unique needs of theinternational student community.The Challenge and
as a collaborative tool in a rapidly evolving academic environment.IntroductionThe field of engineering education is witnessing a transformative era with the advent of user-friendly Artificial Intelligence (AI) tools [1] [2] [3]. The introduction of this shift into mechanicalengineering and material science disciplines could significantly enhance traditional instructionalmethods, leveraging the vast capabilities of AI [4] [5]. The integration of AI tools like GPT-4 andDALL·E 3 represents a pioneering effort in this direction [1]. This paper aims to explore anddocument the impact of AI on the pedagogical landscape of material science education.At the core, this study investigates how AI tools can aid in the creation of student assessments
also to identify key differences between machinist traineeswho exhibit no underlying hearing problems and ones who are deaf/hard of hearing. The findingsof this work provide valuable takeaways concerning machinists with hearing loss, revealing littleto no effect of hearing impairment on trainee performance, alleviating concerns about potentialperformance weaknesses. The outcomes from this study have shown that trainee experience seemsto relate directly to machining proficiency, regardless of hearing impairment.2. Introduction2.1 Background Estimates from the Survey of Income and Program Participation (SIPP) indicate that fewerthan 1 in 20 Americans are currently deaf or hard of hearing [1]. However, Only 53.3% of deafpeople ages 25-64
marginalizedarchitecture/engineering/construction (AEC) students about incorporating equity considerationswhile developing sustainable and resilient infrastructures. For this study, the relevantunderrepresented populations are African American, Hispanic American, and Native American. Itis imperative to investigate how engineering graduate students including students frommarginalized communities understand the connections between social justice and theinfrastructure systems, given the growing importance of these concerns in our society. The studyaims to address the following research objectives: (1) Understand the level of awareness of AECmarginalized students about societal inequalities within resilient infrastructure systems; (2)Highlight the perceptions
ofexperiential learning empowers students to apply theoretical knowledge in real-world scenarios,thereby deepening their comprehension of complex engineering concepts [1]. This approacheffectively bridges the gap between theory and practice.To cater to diverse learning preferences, facilitate visualization, promote real-world applications,and implement experiential learning, a variety of methods have been integrated over the pastdecade in this course. These methods include augmented reality (AR), discussions using real-world example pictures, and interactions with physical models—both through studentengagement and instructor demonstrations.Research has indicated that some students may not fully demonstrate their learning within theconstraints of
Assistance Migrant Program (CAMP), which is a federally funded program that assistschildren of migratory families during their first year of college. The survey was created from twoprior validated instruments on funds of knowledge and community cultural wealth. A total of 108undergraduate migratory students in STEM fields who were either previously or currentlyassociated with CAMP responded to the survey. Exploratory and confirmatory factor analyseswere used to confirm the underlying theoretical relationships between the survey items and thepredicted constructs. Results supported a two latent construct model with six items that make upthe instrument: 1.) knowledge/experience outside of school and 2.) social networks in the form ofneighborhood
reviews are a type of literature review that takes a systematic approach to search,review, and synthesis of information on a defined topic. A well-designed review will achieve“exhaustive and comprehensive searching”[1] for relevant evidence while minimizing selectionbias. As the volume of scientific publications has surged exponentially over the past severaldecades [2], with a recent study showing that the number of publications in the Physical andTechnical Sciences doubles every 11.9 years [3], the need for systematic reviews to collate andsynthesize all this research has become critical. The general field of engineering has seen the risein published research review papers that many other fields have seen recently [4-6]. Conversely,performing
confidence.1. IntroductionChoosing a major is a pivotal decision in a student's academic journey, setting the course fortheir future career and professional development [1], [2], [3], [4]. Engineering is a cornerstone ofmodern society, driving innovation, solving complex problems, and improving the quality of lifefor people around the globe. As a field of study covering a broad range of disciplines, includingmechanical, electrical, civil, and computer engineering, engineering offers diverse career pathsand opportunities. However, the decision to pursue a major in engineering is not one to be takenlightly, given its rigorous curriculum and the demands of the profession. As a result,understanding engineering as a major is paramount, not only for
assess the creative climate of graduate-levelengineering education and account for academia’s complex interpersonal relationships andorganizational structures. Results demonstrate that many of the creative climate dimensions areabsent from research group and classroom environments in graduate-level engineering education.This paper is one of the first to explore engineering graduate students’ perceptions of creativitywithin their academic and research environments and offers implications for how graduate-levelengineering education can better foster creativity.1. Introduction and Review of Relevant LiteratureEngineering is a creative act. At its core, the profession of engineering is focused on developingcreative and novel solutions to complex
, time management, conflicts between members of a teamand intensity of building tasks and fabrication. Overall, design-build as an instructional deliverymode has shown to present merit in conveying construction fundamental knowledge, however,challenges with time and group size seem to impact the overall efficiency of the model.Keywords: Design-build, Instructional Delivery Method, Construction Education, StudentPerceptionIntroductionConstruction education has undergone significant evolution in recent years, responding to theever-changing needs of the construction industry [1], [2], [3]. To adapt to this change,universities and construction programs have developed different approaches in their courseworkand curricula, moving away from traditional
interviewed faculty members,ensuring a diverse sample for interviews and facilitating a standardized comparison with facultyresponses. Gender and racial diversity were maximized in the student sample to ensure that theperspectives and voices of minoritized students were captured, as inclusive teaching is vital for alllearners and can be especially impactful for students who are not from a dominant background.Qualitative interviews were conducted to explore beliefs, practices, and perceptions surroundinginclusive teaching. The interviews were based on the following questions: 1. What lessons, actions, or activities have you provided/been provided to foster inclusivity in the engineering environment? 2. What are some characteristics of an
constructionstudent sleep patterns and their expected sleep patterns in their professional careers.BackgroundSleep-related issues including sleepiness, sleep deprivation, and irregular sleep time are among thechallenges that students at the college level are overwhelmingly dealing with during their studiesas 50% report daytime sleepiness and 70% do not gain sufficient sleep time [1]. Jalan, Priya, andG. R [2] explored sleep awareness among college students and concluded that the majority ofcollege students are suffering from sleep deprivation. Xu et al. [3] explored the effect of physicalexercise on sleep quality and the mediating effect of smartphone use behavior among Chinesecollege students which they conducted a cross-sectional study design with 5,075
) have emerged as a pivotal component in highereducation, significantly benefiting students, faculty, and universities alike [1], [2], [3]. Theseprograms offer a unique combination of hands-on research experience and mentorship,enhancing students' learning and career trajectories [4]. A notable initiative in this regard is theResearch Experiences for Undergraduates (REU) funded by the National Science Foundation(NSF) [5] which highlights the importance of such programs in science, engineering, andmathematics [6]. These REUs consist of ten or so undergraduates who work in the researchprograms of the REU host universities across the United States [7].One of the primary benefits of URPs is their influence on students' decisions to pursue
studentsexplored multiple elements of the design process and had the opportunity to discover their idealdesign signature. During the delivery of the seminar, the education team wrote weekly reflectionsto capture their adaptation experiences. Using qualitative methods, we analyzed the educationteam’s structured reflections. The thematic analysis resulted in three emergent themes: 1) Ithought this would be easier, 2) acting on values, and 3) teaching as an educational journey. Wediscuss these themes in light of positioning theory and the norms that early career instructorsmay find themselves working within.IntroductionStephanie Cutler and Alexandra Coso Strong (2023) bring awareness to the lack of discussionabout faculty as people in engineering education