perspective given hismany years in administrative positions. However, he has strong personal sensitivities toindividuals and families fighting for rights. Kent Crippen is a white male science educator whochampions change in educational systems to meet the needs of every student. He has worked onmultiple projects with engineering faculty but views himself as an outsider in engineering circles.Janice Mejia is a Latina engineering educator and an immigrant in the United States. Prior toteaching in academia, she worked in for-profit and non-profit sectors to optimize technologies,processes, and policies in organizations. She provides unique emic and etic perspectives to theresearch problem. Sheila Castro is a Latina, first-generation doctoral student and
executive leadership positions, including boardpositions/appointments. By understanding the impact of this crisis at HBCUs, findings will begeneralized to support and educate non-HBCU institutions facing leadership turnover challenges.While this project focused solely on HBCU leadership, it serves as a pilot study, and our teamlooks forward to using these results to explore the more significant issue of leadership turnoverand the implications of broadening participation and research capacity across other minority-serving institutions and higher education overall.ReferencesBass, B. M. (1985). Leadership and performance beyond expectations.Bass, B. M., & Avolio, B. J. (Eds.). (1994). Improving organizational effectiveness through
(DE-NA0004115) , MSIPP-I AM EMPOWERED funded by the Department of Energy (DE-NA0004004), NSF-RISEfunded by the National Science Foundation (1646897), CREST Center funded by the National Science Foundation (1735968),RETREAT: Retaining Engineers through Research Entrepreneurship and Advanced Materials Training funded by the NationalScience Foundation (1950500), DREAM: Diversity in Research and Engineering of Advanced Materials Training. Funded by AirForce Research Laboratory (FA8651-18-1-0003) and Catalyst Project: A Two-Semester Driven Conceptualization Training ofManufacturing Intelligence in Materials Engineering (MIME) - A Froshmore FUTURES Program (2011853).References[1] M. L. Espino, S. L. Rodriguez, and B. D. Le, "A Systematic
Quigley, IBM Research Lauren Thomas Quigley, PhD is a Research Scientist focused on the development of responsible and inclusive technology. Specifically, she researches practical approaches for fairness and inclusion in AI, data representation, and projecting technology’s impact on society and the environment, through a lens of social justice. Her secondary area of research is the use of critical theories in engineering education. ©American Society for Engineering Education, 2024 Outsiders: Pathways and Perspectives from Engineering Education PhDs Outside AcademiaEngineering education doctoral programs have been predominantly academia-centric, stronglyemphasizing
personal insights, emotions, and experiences through poetry writing. 5. Fostering Interdisciplinary Connections: Explore the intersection of engineering and other disciplines, such as literature and art, to foster interdisciplinary thinking and broaden students' perspectives on their field of study. 6. Stimulating Critical Thinking: Challenge students to analyze and interpret poetry written by others, including poems related to engineering themes, to develop critical thinking skills and appreciate diverse perspectives. 7. Promoting Empathy and Ethical Awareness: Encourage students to consider the societal, environmental, and ethical implications of engineering projects through poetry that explores
forward the ABET Coordination Team is developing a process to export student outcomeresults from Canvas and import them into a web-based database and reporting interface. The initialplan was to import Canvas assessments into SearchLight. But since this tool is no longer supportedby the University, the team is exploring other options such as PowerBI and Tableau.Figure 9 in the appendix presents the pilot PowerBI dashboard summarizing Canvas student out-come results. The goal of this pilot project is to incorporate and improve upon some of the re-porting features found in SearchLight and to compile data from various sources into one database.Though there is increased flexibility by building out the reporting infrastructure, it requires moreskills
to get patents done, and people are always really excited about trying to get this to commercialization.Students continue to pursue publications of their work, though the primary focus is on the patentas their capstone experience. As the feedback from one completer (above) suggests, studentsmay be involved in more than one research project with more than one leading to patentproposals.Additionally, candidates have specific opportunities to develop entrepreneurial skills such asenrollment in courses offered by the College of Business with a focus on entrepreneurship andinnovation including Entrepreneurial Decisions, Entrepreneurial Strategy, Innovation Analytics,Evaluating Entrepreneurial Opportunities, Entrepreneurial
felt that “the new DEI laws makeobtaining equitable educational opportunities for ‘all’ more difficult,” thus resulting in a loss ofpower for some students. Another participant articulated this shift in more detail, observing thatthe laws “are unfair to students who were not born into privilege. Their effect will be to wideneconomic and educational differences in our society.”6. Mental Models One survey respondent described one of the impacts that recent laws had hadon their work as including the need to “be mindful” of new admissions criteria. Similarly, anotherparticipant described the need to consider more carefully how potential projects are framed. Thus,participants felt that there would need to be some change to mental models – and a
whatpredictor parameters are important and which ones do not affect the outcome. The initial workaims to identify key predictors for high-accuracy predictions using a reduced dataset available,as well as help identify and test more prediction factors used in the literature. Through futureiterations of our model, we aim to further improve prediction accuracy by incorporatingadditional predictor data and increasing the student pool available for such analyses. Earlyidentification of students at risk of changing or dropping from the program will enabletargeted intervention and improve their chances of success. These initial iterations will serveas benchmarks, with the ultimate validation of our project relying on the performance of theAI model with data
Paper ID #43258Board 72: Adaptive Affect-Aware Multimodal Learning Assessment Systemfor Optimal Educational InterventionsMr. Andres Gabriel Gomez, University of Florida I am a second year MS student in the department of Electrical & Computer Engineering at the University of Florida. My research interests include, but are not limited to, computer vision in healthcare (i.e., medical image segmentation), AI for clinical workflows, and education technologies. I am currently working on cardiac magnetic resonance imaging (CMRI) segmentation and pursuing an independent study project in education technology. I hope to
Cesare Guariniello is a Research Scientist in the School of Aeronautics and Astronautics in Purdue Uni- versity. He holds two Master’s degrees, in Automation and Robotics Engineering and in Astronautical Engineering, from the University of Rome ”La Sapienza”, and a PhD in Aeronautics and Astronautics from Purdue University. His research ranges from System-of-Systems design and architecting to space applications, cybersecurity, and defense and includes projects with NASA, the US DoD, the US Navy. Cesare recently expanded his research in the field of Earth Sciences, where he is pursuing a Master’s degree in Planetary Geology. He is a senior member of IEEE and AIAA, and member of INCOSE.Daniel Delaurentis, Purdue University
science 2 year and 4-year programs at Hispanic Serving Institutions in a ruralSouthwest state was developed to support students, particularly Hispanic first-generation collegestudents, as they navigated higher education pathways in computing. The table below providesadditional information regarding the data sources that support meaning making in this project. Demographic Marker Source of Data Gender identity Survey distributed by (source of grant funding) Race/ethnic identity Survey distributed by (source of grant funding) Citizenship/permanent resident Survey distributed by (source of grant funding) status Place of birth Survey distributed by (source of grant
,highlighting the necessity for targeted interventions to rectify this imbalance.6As the industry experiences rapid global expansion, there is a heightened demand for skilledprofessionals in construction management and related fields.3 The urgency to replenish andexpand the construction workforce is underscored by these projections, emphasizing the criticalneed for CEM programs to produce a sufficient number of qualified graduates to meet theescalating demand.In today’s landscape, there is a growing emphasis on diversity and inclusion, recognizing womenas valuable contributors to the construction industry. However, despite this recognition, thereremains a significant under-recruitment of female students in CEM programs, with male studentscontinuing to
collaborates on diverse projects aimed at enhancing learning experiences for students, trainees, and professionals.Dr. Saira Anwar, Texas A and M University Saira Anwar is an Assistant Professor at the Department of Multidisciplinary Engineering, Texas A and M University, College Station. She received her Ph.D. in Engineering Education from the School of Engineering Education, Purdue University, USA. The Department of Energy, National Science Foundation, and industry sponsors fund her research. Her research potential and the implication of her work are recognized through national and international awards, including the 2023 NSTA/NARST Research Worth Reading award for her publication in the Journal of Research in Science
levels). Finally, participants were asked (Q12) which of the threedomains they preferred to learn with and why. It should be noted that this interview consisted ofquestions about all three domains, and the results were split into three papers to better emphasizethe findings related to each domain of learning. In this paper, we focus only on the cognitivedomain of learning. Readers interested in understanding more about the research on affective andpsychomotor domain are directed to the other papers from this project [2], [3].Q1: How do you perceive learning as a process?Learning is an integral part of our lives. Each one of us learns the same things differently based onour preferred way of learning. In this question, students share their
problem illustrated above, MOM problems have been developed and tested for ourfluids experiments and other heat transfer experiments. Problem design is underway for theremaining experiments used in both Unit Operations laboratory courses.Additional work is in development for our integrated chemical and petroleum engineeringfreshman year project-based experimentation.Concluding RemarksBoth instructors plan to expand their use of MOM both in courses where MOM is currently usedand in courses where it has not been used. The use of MOM question databanks is still underdevelopment in multiple courses.Comparison to Canvas quizzes: MOM has all of the benefits of Canvas quizzes, but addsadditional useful features. Both platforms are flexible as to
students by minimizing the needto enroll in remedial or supplementary courses, freeing up time for them to pursue researchopportunities. Second, the advising model prioritized early communication about researchopportunities, ensuring that students were aware of the professional benefits of researchengagement early in their academic careers. The personalized guidance provided by facultyadvisors was instrumental in matching students with research projects aligned with their interestsand career aspirations, further promoting sustained engagement and academic satisfaction.While these findings clearly illustrate the implementation of this new active structured advisingmodel have improved mechanical engineering student initial math placement, four-year
completion of his Ph.D. he began working in the Aerospace Industry where he spent over 10 years as a Stress Analyst/Consultant. At present he enjoys working on Distributed Electric Propulsion (DEP) with his students, designing, analyzing, constructing and flying Unmanned Aerial Vehicles. Dr. Nader won a few awards in the past few years, among these are the College of Engineering Award of Excellence in Undergraduate Teaching (2023), Excellence in Faculty Academic Advising for the College of Engineering and Computer Science (2020). In addition, he is also a Co-PI on the NSF-supported HSI Implementation and Evaluation Project: Enhancing Student Success in Engineering Curriculum through Active e-Learning and High Impact
released a report, titled, “The Rise ofAsian Americans” (Pew Research Center, 2012) based on the 2010 U.S. census (U.S.Census Bureau, 2012). The title referred, in part, to the changing demographic andsocioeconomic trends. In 1960, Asian Americans comprised less than one percent ofthe U.S. population, but account for 5.6% today—becoming the fastest growing groupin the country. Immigration is driving much of this demographic change (Alba & Nee,2003; Lee & Bean, 2010). China and India have now surpassed Mexico as the leadingsources of new immigrants to the United States. Demographers project that, by 2065,immigrants from Asia will comprise 38% of all immigrants to the country. As a result,Asian Americans will nearly triple in size, and
accommodate a 60-minute interview schedule. The final protocol included 12 questions centered on participants’ lived experiences.● Some leading questions were: ○ What are the biggest barriers or challenges you’ve experienced as an engineering major? ○ What positive experience have you encountered in your engineering major? ○ Please tell me about your engineering journey and why you decided to major in engineering.● We recruited from two universities that we had a relationship with, and administrators that we knew would share our recruitment email quickly since this project was during the summer. We were hoping that participants would respond quickly.● Recruitment yielded 5 participants● Here we describe
, genders,and socioeconomic backgrounds.Acknowledges and values the contributions of underrepresented groups in STEM fields.Active Learning Strategies:Encourages student engagement through collaborative projects, group discussions, andproblem-based learning that respect different learning styles and perspectives.Facilitates participation from all students, especially those from marginalized groups, bycreating a supportive and inclusive classroom environment.Critical Pedagogy:Challenges traditional power dynamics in the classroom by promoting critical thinkingabout social justice issues, including systemic racism, sexism, and other forms ofdiscrimination.Empowers students to question and critique the status quo in STEM fields, encouragingthem to
. Draw F and the 100 lb force on a piece of paper. Fold the paper into a triangle formed by the three lines shown in the figure.2. Draw the x-y plane and the 100 lb force on another piece of paper. Lay the paper on the table.3. Assemble the triangle from step 1 and the x-y plane from step 2 to demonstrate the force vector F in 3D space.This exercise not only helps the students construct the force vector in 3D space but also helps themlearn the process of breaking a complicated 3D problem into two simpler 2D problems. Aftervisualizing the problem, the students are instructed to rephrase the problem using technical languageand symbols, such as “the projection of force F on the x-y plan is F’. The angle between F and F’ is = 30o. F’ lies in
system’s ability to differentiate between objectcharacteristics, addressing challenges related to signal noise, environmental interference, andcomputational efficiency. By building on to prior research done on the same project refining thealgorithms used for classification and visualization, this research seeks to advance real-time Wi-Fi-based imaging for practical applications in security, navigation, and situational awareness.Background Researchers have utilized Wi-Fi routers to detect 3D shapes and movements ofindividuals within a room, effectively enabling imaging through walls. By employing deepneural networks, they mapped Wi-Fi signal parameters to human body coordinates, achievingdetailed human pose estimation without the need for
Second Law and apply itsprinciples to a new context, deepening their comprehension and understanding of the topic.Figure 9. The summative question of the Newton’s Second Law for particles ALM.Finally, students complete a series of reflection questions asking them to summarize the keyconcepts of Newton’s Second Law (Figure 10). These reflection questions encourage students tosynthesize their learning, draw connections between the concepts and scenarios explored, andcommunicate their understanding in their own words.Figure 10. Reflection questions for the Newton’s Second Law for particles ALM. This is the finalcomponent of the ALM.Project ImpactsThis project has the potential to significantly impact student success in mechanics classes
collaborated in. In a between-groupdesign, each participating small-group was randomly assigned to one of the three IV levels tocollaborate on ZOOM while (1) using their webcams and microphones (videoconferencing), (2)collaborate with deactivated webcams via microphone only (audioconferencing), or (3) usingonly synchronous text-chat while webcams and microphones remain deactivated.Students of Hochschule Bonn-Rhein-Sieg, University of Applied Sciences (H-BRS), Germanywere invited via e-mail distribution list to participate in an online research project with a durationof approximately 45 minutes during which a fictitious criminal case was to be solved by a small-group of three students. The participants were allowed to form groups on their own or show
experience ableism in a variety of ways, such as discriminatory structures,policies and systems; inaccessible spaces and resources; negative portrayals, beliefs, andstereotypes; or harmful behavior [41], [35]. Some expressions of ableism are overt andaggressive, such as violence, housing discrimination, derogatory language and insults, oravoidance and exclusion [42], [43]. Other variations are more subtle, such as expressions of pity,paternalism, unearned or exaggerated praise, unwanted assistance, or “inspiration porn,” whichrefers to depictions of disabled people used to inspire and motivate nondisabled people [42],[44].2According to their website, Sins Invalid is Sins Invalid is “a disability justice performance project that centerspeople of
Science at Michigan State University (MSU) in 2021, with my pri- mary research focus on artificial intelligence (AI) for social good. During my doctoral studies, I explored several intriguing areas, such as AI in education, computational politics, and misinformation detection. As a member of the interdisciplinary Teachers in Social Media project, I concentrated on creating inno- vative and efficient data mining and machine learning algorithms to enhance the quality of PK-12 edu- cation. Throughout my academic journey, I have been honored with multiple awards. These include the Best Paper Award at the IEEE-ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), the Outstanding
Crumble microcontroller for the PD to meet thesegoals. Similar to the Micro:Bit, the Crumble is a microcontroller that has been used in England’sschools for many years. Previous teacher and student studies have documented success with theCrumble in England and the U.S. due to its durability, affordability, ease of use, wealth ofinstructional resources available, and appropriateness for students and teachers in the elementaryand middle grades who have varying levels of experience with physical computing [5-6,10,28-29]. In addition, the Crumble can be programmed using drag-and-drop block-based coding tocontrol external sensors. Specifically for this project, the Crumble was of interest because it hasbeen shown to have easy compatibility with
COVID restrictions and having places to go it gets really hectic and hard to communicate. (Cohort 2)This inability to effectively communicate not only limited peer-to-peer discussion, it alsohindered the development of social capital (connections with peers) that otherwise would havebeen supportive of learning within the course. In some instances, this meant limited opportunitiesto conduct group work or projects. In other cases, it meant that they lacked a reference group ofpeers who are also studying in engineering and so they ultimately felt like they were strugglingalone. It really made it hard to get help with projects or talk to people and be like, hey, I'm having an issue, like maybe you're having