backgrounds. In the deductive analysis (Cycles 2 and 4), elements from theconceptual framework (e.g., APM, WRC/FB), research questions, and existing literature wereapplied to deductively code the data [47], [48], examining how academic strategies influencepedagogical choices and how faculty racial consciousness affects equity-oriented practices.Deductive codes focus on topics such as faculty experiences, motivations, beliefs on equity, DEIJintegration, institutional priorities, systemic inequities, DEIJ adoption, faculty mindsets, and theculture of engineering education. Throughout the analysis, memos capture researcher’s initial thoughts, connecting themesto the conceptual framework, reflections on research goals, methodological decisions
motivated and take the necessaryaction to handle potential scenarios based on their beliefs about their own efficacy [12]. For thepurpose of the study, the interest is to understand if participants feel confident in performing wellin academics, experiments, and engineering design[13]. These approaches reflect how thelearning experiences contained in each pillar of the program might influence participants' beliefin succeeding in engineering curriculums.Goal Orientation Achievement goal theories study individual motivation to engage or not in educationaltasks. This can be measured either by personal improvement (mastery) or by comparing oneselfto others (performance). When goal achievement focuses on mastery, the purpose is to gain newskills
complex and understaffed disability services, and societal biases that can furtherhinder access Amanda’s story exemplifies these obstacles: a turning point in her academicjourney occurred in elementary school when she received her first laptop, sparking an interest incomputing that later evolved into a career as a quality assurance specialist focused onaccessibility at a Forbes Fortune 100 company. This achievement is notable, given thataccessibility was often an afterthought in her educational environments, a reality that,regrettably, persists today. Her experiences reflect broader issues facing blind and visuallyimpaired students pursuing STEM careers in the 21st century.Recognizing and celebrating the achievements of STEM professionals who
on Latinx in engineering.Latinx are the youngest and one of the fastest growing groups in the US, comprising 17% of population.They accounted for a significant proportion of the population growth since 2000 and are projected to comprise30% of population by 2050.These trends are reflected in our public schools, where their representation is increasing. And they are a growingsegment of the US labor force…where almost 1 in 5 workers in the workforce today are Latinx. 2 Background search
instructional practices in higher education, using methods such as faculty reflections and focus groups, and found that while instructors successfully implemented more active learning strategies in smaller classes, challenges in managing participation and adjusting teaching methods suggest that course difficulty, alongside class size, plays a crucial role in shaping student engagement and academic outcomes.f. Class Pace: The speed and comprehensiveness of material delivery within the course duration.g. Interaction and Support: Access to resources, guidance, and feedback provided by the instructor. Kang et al. [11] investigated student perceptions of course effectiveness in large classes, using surveys administered to students over three
-environmental factors shaping STEM persistence and post-secondary plans Pulled in or pushed out? Underrepresented minority high school students describe socio- environmental factors shaping STEM persistence and post-secondary plans AbstractIntroductionThis research applies the Phenomenological Variant of Ecological Systems Theory to understandthe persistence of racially underrepresented minority (URM) youth in STEM pathways. URMyouth aspire to STEM careers at the same rate as White peers [1], but Black and Latinx studentsleave STEM disciplines at nearly twice the rate of White students [2]. As a result, the STEMworkforce does not reflect the country’s diversity. Literature reveals key
the paper’s structure and apply these resourceseffectively to their work.3.3 Instructor Reflection and RecommendationsAfter submitting their first drafts, students are asked to provide an honest self-assessment score(1-100) on their drafts. The average score is 69.7, with the highest score being 80 and the lowest60, indicating that students are still on the learning curve. After submitting their final drafts,students reassess their work, and the average score increase to 72.4, with the highest score being85 and the lowest 65. Although the improvement in self-assessment is not highly significant, itdoes show increases across the board, including both the average and the high and low ends. Theinstructor also evaluates the final quality of the
change induced disasters rather than on expenditure forsustainable development.Several relevant technologies, such as solar, wind, wave, geothermal, and biomass, createsustainable cities. For instance, cities can achieve zero-waste goals using biomass as part of anintegrated waste management plan. Sustainable cities must use an integrated resource energyplan to meet their inhabitants' energy demands and provide redundancy in case of impacts toother sources.Sustainable city design should incorporate local design practices and societal customs, such asthe traditional Arabic concrete screens in Masdar City that provide shade and mask an innerlight-reflecting layer of aluminum to keep buildings cool [2]. Sustainable city designs will alsoneed to use
]. Additional challenges inrecruitment were reported during and after COVID [3, 26, 27].Effective recruitment strategies should consider factors critical to both students’ awareness anddecision making. Practical recruitment methods (e.g., language, personalization, communicationmethods, parental involvement, etc.) can impact the effectiveness of recruiting underrepresentedstudents [28, 29]. For example, it has been suggested that the use of gender-fair language canreduce male bias during job recruitment [30]. Woods et al. increased their female engineeringundergraduate enrollment by changing their recruitment materials and website to reflect factorsimportant to both men and women and they added information about helping others, theenvironment, working
students consenting toparticipate, resulting in a 90% participation rate.No control group was used in this study, as only one offering of the class was available in thespring semester. The lack of a control group is acknowledged as a limitation, and this isdiscussed further in the limitations section. The fall semester includes several offerings ofENG1101. Current research is repeating this work in the fall semester with control groups (classofferings in which the intervention is not implemented).ParticipantsThe gender distribution of the participants was as follows: 37 (58.7%) identified as male, 26students(41.3%) identified as female, and one student (1.6%) identified as non-binary. Thisbreakdown reflects a slightly higher proportion of male
this inquiry could be expanded beyond STEM fields, capturing Latine students and otherracially minoritized student populations from different fields to enhance the literature. AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant Nos.1820536, 1820538, and 1820582. Any opinions, findings, conclusions, or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the National ScienceFoundation. References[1] A. Bandura, “Social cognitive theory in cultural context,” Applied Psychology, 51(2), 269-290, 2002.[2] B. M. Morgan and L. F. Alcocer, “Descriptive
],which reflects broader trends in STEM more broadly [8], [9], [10]. In addition to helping toequip members of our societies to understand and assess the vast information they come intocontact with in their day-to-day lives, expanding participation in SDS will be important asprofessionals in this field have an increasing presence in the labor market and the broad array ofsectors that employ them [11]. The U.S. Bureau of Labor Statistics estimates that the number ofdata science jobs will grow by 35% between 2022 and 2032, growth it characterizes as “muchfaster than average” [12]. Appropriate representation in the field could improve the capacity ofunderrepresented groups to help shape many aspects of life and culture in the United States
] engaged speakers fromthe food justice system, who not only presented real-world insights but also contextualizedthe challenges within broader societal issues. These interactions offered students anopportunity to understand the complexities of real-world problems from those activelyworking in the field, bridging the gap between theoretical knowledge and practicalapplication.In contrast, studies using pre-designed projects or questions often adopted role-playingmethods to simulate the involvement of diverse stakeholders in real-world problem-solvingprocesses. For example, Tembrevilla et al. [7] incorporated role-play activities in first-yearengineering courses, allowing students to experience team dynamics reflective ofinterdisciplinary
initially identified through the cause-and-effect diagram, others usedit to explore additional issues. This dual approach allowed for deeper reflection, enablingstudents to identify root causes behind their struggles and think critically about potentialsolutions.When using the 5Whys methodology in response to the prompt, “Use the 5Whys method toidentify the root cause of a daily life problem by completing the chart,” students initiallyidentified academic challenges and time and life management as primary effect categories.However, when using the 5Whys method, the proportion of issues related to time and lifemanagement rose to 29%, making it equally significant as academic challenges, as illustrated inFigure 3 and Table 2. Notably, the health and
approaches work.) ● We need to teach when and why to use a formula, not what the formula is (which will forevermore be something they can look up.) ● We need to teach solution evaluation. (How will they know if the computer is correct?) ● We need to ask students to reflect on their priorities. ● We need to teach study skills, goal setting, and delayed gratification. Explicitly.Engineers have two basic jobs: build something so it doesn’t break and figure out why it broke. Wemust understand the thought processes which good engineers take to do those two jobs. Engineeringeducation is at an exciting (or terrifying) inflection point. We can look at advances like AI asamazing new techniques which free us to do more exciting stuff in the
emotions and use emotions to enhance thinking including the ability to perceive emotions,to assess and generate emotions to assist thought, to understand emotions and emotionalknowledge, and to reflectively regulate emotion as to promote emotional and intellectual growth[2], [10], [11]. EI is the ability to understand, manage, and use one’s emotions and the emotionsof others to accomplish goals, navigate complexity, or make informed decisions [3][10].EI as a FoundationThere are four skills, known as the four branches, which are the abilities to perceive emotions,use emotions to facilitate thought, understand emotions, and manage emotions [9]. Perceivingemotions is the foundation of the branches because if emotions cannot be recognized, then
challenges. Journal responses and hands-on learning centers,advocated by Finlayson [5], promote active learning and personal reflection, enhancingstudents' engagement and understanding. Additionally, virtual and anonymousplatforms for quantitative literacy, emphasized by Latiolais [3], provide alternativeavenues for student participation, particularly benefiting those uncomfortable intraditional classroom settings. These strategies collectively contribute to fostering asupportive and inclusive learning environment that encourages both academic growthand personal development.This study focuses on implementing two easily applied assessment-based strategies in anumerical methods course. The rationale for both these strategies is supported
get a better idea of what social marketing work would be like in practice.”Other aspects of the class that were mentioned were guest speakers and case studies that werediscussed through the semester as they provided practical examples of how social marketing isbeing used. The main drawbacks or things students would change focused on the project being agroup assignment and having a hard time meeting with their group indicating to change some ofthe group assignments to individual assignments or provide more group work time in class.Conclusion & RecommendationsResponses to the pre-post survey indicate that the eight learning objectives for the course weremet. However, based on this instructor reflection and student feedback multiple updates
communication and teamworkskills, which are critical for success in industry settings.By reflecting on two years of course implementation, this paper provides practical insights intohow strategic partnerships with industry experts can enhance student learning and ensure therelevance of course content. The findings demonstrate that meaningful courses that extendbeyond the expertise of a single instructor can be created through collaboration with industryprofessionals. This paper aims to serve as a guide for educators interested in developing similarcollaborative courses, offering a model for bridging the gap between academic theory andindustry practice. Through dedication and strategic partnerships, even educators without priormedical device expertise
, only 28% of first-year students persistedthrough to their fourth year, a rate reflective of typical trends in mechanical engineeringprograms. However, the first cohort completing the advising pilot program exhibited a retentionrate of 76%—a substantial improvement that highlights the importance of early intervention andconsistent faculty-student engagement throughout the academic journey. This data was onlycollected for the control group and the first cohort of the new advising model as there have onlybeen four years of data collection. It will be very informative to measure the 4-year, 5,-yuear,and 6-year graduation rates of the cohort and that data will be available in the coming years but itappears to be strongly correlated with retention
. • Work Ethic: This category will be similar to Professionalism in that the students’ attitude may present differently to the instructor than the other team members. However, there should be a strong correlation between work ethic and work accomplished, so the instructor should get a good feel for the student performance in this category, posing notwithstanding. • Overall Contribution: This is an important category for the students, because it can reflect skills like leadership and creativity that are important for team function but difficult to pin down in a list of accomplishments. Like Communication, the instructor perception of this category will be more anecdotal. • Work Distribution: This
gathered from [11].higher frequencies which represent smaller surface Once the GPHS module model was completed its Yung’sirregularities modulus of elasticity as well as its Poisson’s ratio was found[8]. This function is reflected in the Department of analytically using stress and strain simulation in COMSOLDefense’s PSD which is defined in their testing method Multiphysics. The density of the GPHS was calculated usingstandards MIL-STD-810G COMSOL’s [10] random the recorded weight and dimensions of the assembly [12].vibration study uses a PSD as well as vibrational input data These values were then applied to a box of the sameduring
-based The Wildfire Dataset Method classification for 96.10% (2025) wildfire detection Fig. 8 Training vs Validation Loss Graph TABLE 2. Comparison of Proposed and Other AlgorithmsThe model used 1089.92 MB of memory shown in “Fig. 9”, Percentage of Accuracydemonstrating efficient GPU usage. Reflecting computationalchallenge, the backward pass required 0.0243 seconds; the Model Accuracyforward pass took 0.0072 seconds for each batch
deviceorganizational cultures that they have personal experience connects to local Wi-Fi, enabling businesses to analyze trafficwith. The analysis must include organizational beliefs and trends, optimize staffing, and gain deeper insights intovalues. and artifacts. Students work on a single organization customer movement patterns. Students worked closely with aindividually, then share the team and reflect on how each data engineer from Foot Traffic Stats to complete three stagesorganization is represented in their artifact’s values and beliefs. of the project. The first stage involved developing a projectEach group assesses the strength of each culture studied. plan. The second stage required installing
validation strategies, including: • Triangulation: The integration of interviews, policy documents, and secondary data sources to enhance 3) Communication and Stakeholder Collaboration credibility [36]. • Reflexivity: Continuous researcher reflection to • Stakeholders, including educational institutions, mitigate biases in data interpretation [37]. labor unions, dealerships, and government agencies, • Peer Review: Independent coding verification by a played pivotal roles in EV training initiatives. second researcher to ensure consistency and • Most states engaged stakeholders using a mix of accuracy [38
++ [8] X. Zhang, R. Ng, and Q. Chen, “Single image reflection with attention mechanism (aug, 10.1080/0952813x. separation with perceptual losses,” in Proceedings of 2024.2383659, 2024),” JOURNAL OF EXPERIMEN- the IEEE conference on computer vision and pattern TAL & THEORETICAL ARTIFICIAL INTELLIGENCE, recognition, 2018, pp. 4786–4794. 2024. [9] R. Feng, J. Gu, Y. Qiao, and C. Dong, “Suppressing model overfitting for image super-resolution networks,” in Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition Workshops, 2019, pp. 0–0.[10] R. Timofte, R. Rothe, and L. Van Gool, “Seven ways to
iscrucial for non-Black faculty to adopt anti-deficit approaches to effectively educatestudents of color.The bi-directional nature of capital is reflected in mentees harnessing and building theircapital in the same way mentors may be supporting their own cultural wealth.Previous studies (Tolbert Smith, 2022; Samuelson & Litzler, 2016) have recognized that akey motivator for students to persist in engineering is the idea that they may be able tohelp the future generation do better in engineering. This manifests in creation of mentor-mentee relationships and continued peer support. These relationships exhibit overlaps ofsocial, aspirational, and navigational capital.Student organizations like NSBE are great hubs for Black students to come
who look like me.” This response highlights a commitment to addressing disparitiesthrough entrepreneurial endeavors. Similarly, another student stated, “No connections at thismoment. But living in food deserts has motivated me to pursue a degree in Agriculture to make apositive change in my own environment.” These statements reflect a broader theme of leveragingentrepreneurship to foster community equity and improve local conditions. Overall, the thematicanalysis reveals that while these students may lack personal role models, their entrepreneurialaspirations are deeply influenced by a desire to create equitable solutions and address communityneeds
widespread use of AI in engineering courses. Summary and ConclusionsAlthough the engineering education literature reflects the introduction of AI and highlights itswidespread implications, a survey of 22 senior-level mechanical engineering students in the Fall of2024 shows how little adoption there is of AI in the curriculum. A few instructors have adoptedmodules or activities that introduce AI to students, but even this modest exposure to AI is limited toonly a few courses. AI is primarily used for writing assignments and coding, where it assists inenhancing, streamlining, or reviewing AI-generated code. There was no course-wide implementationof AI to enhance student learning. There are numerous examples of how