at Prairie View A&M University. Her research interests encompass computational biology, computer networking and communications, and machine learning and AI. ©American Society for Engineering Education, 2024 Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive LearningMing-Mu Kuo1, Shouvon Sarker1, Xiangfang Li1, Yujian Fu2, Lijun Qian1, Xishuang Dong1 1 Electrical and Computer Engineering Department Roy G. Perry College of Engineering Prairie View A&M University 2 Electrical Engineering and Computer Science Department
participation and persistence inengineering among economically disadvantaged students, and establishing transfer support to thelocal four-year university. Program evaluation findings have identified several opportunities forsustaining scholar transfer support outside of the financial support provided in the form ofscholarships. These opportunities fell into two major themes: (1) peer-led transfer supportinclusive of connecting transferred students and students preparing for transfer with emphasis onnavigating different university structures, and (2) collaboration across engineering disciplines todevelop and offer interdisciplinary undergraduate research and/or collaborative work on otherprojects. Furthermore, research findings from interviews with
Paper ID #42423Board 267: Enhancing Urban Mobility: SmartSAT’s Impact on Public TransportationServices and Commuting ExperienceDr. Jeong Yang, Texas A&M University, San Antonio Dr. Jeong Yang is an associate professor of computer science and cyber security in the Department of Computational, Engineering, and Mathematical Sciences at Texas A&M University-San Antonio. She is also a director of the Center of Information Technology and Cyber Security. Her current research is focused on the areas: 1) Intelligent applications of cloud-based AI services to discover effective use of AI technologies, 2) AI-powered secure
support.Introduction“There’s Plenty of Room at the Bottom.” Richard Feynman (1960)Artificial intelligence (AI) methods are revolutionizing undergraduate science, technology,engineering, and mathematics (STEM) education through early forecasting of end-of-semesteracademic performance [1, 2, 3, 4, 5, 6]. These methods typically leverage numeric features ofstudents’ academic trajectories to train AI models. The advent of Transformer-based [7] largelanguage models (LLMs) [8, 9, 10, 11] has significantly expanded the potential for cross-domainapplications due to their extensive knowledge bases [12, 13] and complex task-solvingcapabilities through basic reasoning [9, 14, 15] and planning [16]. Fine-tuning these LLMs viatransfer
. Since then, the outlook has not measurably improved 1 . A strong STEMworkforce sustains a robust U.S. economy and supports our national security 2,3 . Diversity inSTEM generates a variety of perspectives and approaches to scientific and technologicalinnovation, better reflects the global and culturally diverse economies of the 21st century, andproduces diverse science and engineering role models 4 . Because of their racially diverseenrollments, The National Academies of Sciences and Engineering Minority Serving Institutions:America’s Underutilized Resource for Strengthening the STEM Workforce report (2019)identifies that HSIs can contribute diversity to STEM.Of the estimated 569 U.S. HSIs, most are two-year institutions. 68% of HSIs are public
learningmanagement system of Canvas. The assessments were administered digitally to the studentsusing a Lockdown browser in Canvas at a proctored testing facility. End-of-semester surveyswere administered in both courses to gauge student satisfaction and experience with this testingmethod. Preliminary results indicate very promising positive effects of the multi-attempt digitalassessments in Statics and Dynamics courses on student performance, satisfaction, and self-reported motivation and self-regulation for all students, including Hispanic transfer students.1. IntroductionAssessments are an integral component of the teaching and learning process. Hanna and Detmerhave defined assessment as the process of gathering data by instructors about their teaching
, responses to the question “What do you think a cultureof wellness in engineering or your department would or should look like?” were separated fromthe rest of the data for thematic analysis. We developed a codebook, applied it to the data, andused thematic analysis to identify topics grouped by motif, resulting in three overarching themesrepresenting the data. With a focus on actionable patterns of meaning, the three themes are (1)Building a Supportive Community, (2) Improving Work and Academic Policy, and (3)Supporting Self-Care with Student Wellness Resources. Participants expressed their views onwhat a culture of wellness might look like and suggested ideas that they believe would bebeneficial to implement. These suggestions included aspects of
, Inclusion, and Ethics in Engineering: Project Overview and Preliminary ResultsAbstractThis study was motivated by the numerous empirical investigations documenting the importanceof diversity, equity, and inclusion (DEI) and ethics to engineering education and practice.However, the relationship between these phenomena has not been extensively studied, andresearch focused on ethics and DEI tends to exist within distinct scholarly spaces. Thus,engineering students, educators, and practitioners may fail to consider how ethics and DEI arerelated, which may limit how they understand and apply these concepts. To better understandways that ethics and DEI connect in engineering education and practice, our study includes threephases: (1) a
students, unwelcoming environments for women, and theassociation of machines and materials with specific genders, hindering their full participationwithin such spaces [1], [2]. As a result, it is a challenge for most makerspaces to ensure the fullutilization and participation of diverse students in the makerspaces.To overcome those challenges and make the makerspaces more inclusive, learning directly fromstudents about their involvement and experiences in makerspaces is needed. Digital badges,promoting personalized learning and skill recognition, are expected to encourage more inclusiveparticipation, fostering engineering identity and a sense of belonging among diverse studentgroups. In this study, we describe some results derived from a two-year
cooperative learning to help historically marginalized populations ofstudents in undergraduate calculus learn to think like mathematicians through socially, co-constructed inquiry[1–4]. Treisman designed the program to challenge students with difficultproblems enough to promote student learning and discussion [1,3]. Peer-led team learning is aform of collaborative learning similar to the PLSG utilized in other academic programs [5–8].Previous studies have shown collaborative learning benefits students in multiple ways, includingimproving students’ sense of belonging, grades, and persistence [9,10].A preliminary version of the PLSG model was piloted with volunteer students before the start ofthe study. The preliminary implementation differed from the
. PSTparticipants found the research experience with their mentors beneficial not only to them, butalso to their future students according to our findings from interviews. Selected course moduleswill be submitted to teachengineering.org for other K-12 educators to access. 1. Introduction In the 2020 report of the President’s Council of Advisors on Science and Technology(PCAST) to the President of the USA, PCAST has recommended a set of bold actions to helpensure continued leadership in Industries of the Future (IotF), comprising artificial intelligence(AI), quantum information science (QIS), advanced manufacturing, advanced communications,and biotechnology [1].. The three pillars underpinning these actions are (a) enhancing multi-sector engagement
activities to meet leaders in industry roles.The second iteration of CAR 551 allowed students to complete assignments during synchronousmeetings and offer group feedback on LinkedIn profiles. The term ended with an entire classsession dedicated to verbal reflections about individual learnings. Active learning became anessential feature in future semesters.Since each CAR 551 cohort influences the future experiences of the next group of students,project leaders made changes by offering more synchronous sessions to accommodate studentacademic responsibilities as well as adding more 1:1 coaching to advise students during OdysseyPlan development. Student comments also lead to the establishment of a well-defined periodwithout online meetings.The virtual
from this NSF-funded project have broader implications for curriculum enhancement on a national scale. As wecontinue to refine and expand our teaching methodology, we anticipate that our efforts willcontribute to developing a more environmentally conscious and skilled workforce to address thechallenges of waste management and sustainability.IntroductionEach year, the US alone generates about 7.6 billion tons of industrial waste[1], 111 million tonsof dry crop residues and agricultural waste[2], 292.4 million tons of municipal waste[3], and 600million tons of construction, and demolition waste[4]. Currently, the US recycles about 30% ofits waste stream, substantially below the Environmental Protection Agency (EPA) estimate of upto 75% of our
. ©American Society for Engineering Education, 2024HSI Planning Project: Integrative Undergraduate STEM Education at Angelo State University (I-USE ASU Grant #2122828)Abstract Historically, women and racial minorities have been underrepresented among the STEM(science, technology, engineering, and mathematics) workforce. Previous research has identifiedseveral factors that contribute to the persistence of minority populations within STEM fields,while other work has identified potential barriers that have influenced these disparities [1-9]. Thecurrent study sampled undergraduate students (n=222) from a Hispanic Serving Institute (HSI) inWest Texas. Participants were given a survey that explored factors including level of
, engineers must swiftly adapt to emergingtechnologies and methodologies. Computational thinking (CT) has emerged as a crucialproblem-solving methodology, offering a structured and analytical approach applicable acrossvarious professions. CT is essential for thriving in a technology-driven environment. CT skillsfoster collaboration, provide adaptability, and instill a mindset crucial for continuous learning inthe dynamic field of engineering [1], [2], [3]. To address the limitations of traditional engineering education, immersive virtualenvironments, exemplified by the Computer Automated Virtual Environment (CAVE), present agroundbreaking platform for enhancing CT skills. The CAVE, employing stereoscopic displaysand motion-tracking technology
who live in rural and reservationcommunities. Students hailing from these communities possess unique funds of knowledge[1] that will help to address various engineering problems.Because career choices are often made before middle school [2], it is important to startexposing all children to engineering in elementary school. Exposing elementary students toengineering requires elementary teachers to be prepared and confident in their abilities toteach engineering. Unfortunately, many elementary teachers feel underprepared to teachengineering [3] and may even avoid teaching it. Consequently, better understandingelementary teachers’ perceptions of effective and inclusive engineering education could beleveraged to help them build their engineering
this field.Our research validates the effectiveness of a VR-based approach and emphasizes the significanceof collaborative research in providing valuable support to the underserved ASD population.IntroductionAutism spectrum disorder (ASD) is a neurological and developmental condition affectingsocialization, interaction, learning, and behavior [1]. According to CDC estimates, about 1 in 36children have ASD [2]. Individuals with ASD present a heterogeneous range of symptomatology,including persistent deficits in social communication and interaction, such as differences in eyecontact and body language, a lack of verbal communication, and restrictive, repetitive behaviorsor fixations on routines, interests, or activities [3]. These deficiencies
end of itsfunding period. The results of this evaluation build upon the previously reported findings ofinterviews in a prior ASEE conference paper [1]. The PQI’s goal is to build national capacity forSTEM education research by engaging technical STEM from across the U.S. in cohorts thatparticipate in an 8-week course on qualitative and mixed methods educational researchtechniques, followed by engagement in several communities of practice and other opportunitiesto continue supporting participant research projects and building participants’ confidence aseducational researchers. This project was funded based on impact rather than research orknowledge generation; thus, this paper will report on the impacts of the PQI in terms ofparticipants
theSTEM workforce.I. Introduction There is a booming need for professionals in STEM fields in the United States. Employmentin STEM fields grew by 10.5% between 2009 and 2015, compared with only 5.2% for non-STEM occupations [1]. This rapid job growth is especially pronounced in the clean energyindustry, which added jobs 70% faster than the overall economy from 2015-2019 and nowemploys 2.25% of all workers in the US [2]. However, not all segments of the US population areearning STEM college degrees at the same rate. While Hispanic, Black, and American Indian orAlaska Native persons collectively account for 37% of the US population between ages 18–34 asof 2021, the same group accounts for only 26% of science and engineering-related
, deep learning, healthcare data analytics, and biomedical image analysis. He is currently the PI of two NSF funded projects and Co-PI of three NSF and NIH funded projects and committed to computer science education and workforce development. ©American Society for Engineering Education, 2024 Improving Retention Rate and Success in Computer Science ScholarsIntroductionIn the broader context of Science, Technology, Engineering, and Mathematics (STEM) fields, astudy [1] reveals that the likelihood of a Black student switching majors is approximately 19percentage points higher than that of a White student. Additionally, studies indicate that access toSTEM opportunities is restricted for students attending
that the instrument was inclusive of help-seeking beliefs of studentsat other institutions. Through collaborations with a Historically Black College or University and aHispanic-serving Institution, we conducted focus groups to identify novel beliefs that were notrepresented within the first version of the EMHHI. Through this process, beliefs were identifiedsuch as, “My seeking help from a mental health professional in the next 3 months…”: 1) wouldrequire me to work with someone who doesn’t understand my cultural background, 2) would makeme feel overwhelmed or defeated and 3) would make me feel like an imposter in engineering.These novel beliefs were incorporated into an improved version of the instrument that improvedthe validity of the
fromProject DREAM. MU has developed and piloted 1) a two-week, immersive summer program on"Maker-Neering" targeting teaching 3D printing/design, arduino programming and VR design torecruit students into a new engineering program and 2) piloted the first semester of an innovativeyear-long introductory engineering course using low-cost makerspace technologies (including3D printers, arduino, python programming, and virtual-reality) in project-based experiences toimprove foundational engineering skills. We have successfully implemented the two-weeksummer program and the first semester of the year-long introductory engineering course, wherewe have seen students complete miniature capstone projects that address genuine communityneeds including gamifying
USA highlights that there are 57% are rural [1], with over 6.5 millionrural students enrolled [1, 2]. The area in the US that is historically most impacted by a lack ofSTEM professionals has been the southeast, which includes Arkansas [2]. However, little literatureexists on how to best recruit and retain rural STEM students.Rural students face significant struggles with academic persistence in college due to many factors.Often, they have insufficient funds to attend college due to rural area residents’ higher povertyrates [3]. Rural students typically live further away from educational institutions and researchinstitutions that offer STEM degrees and opportunities. This creates transportation challenges andincreases the cost of attending [2
models, systemic inequities in preparation, barriers to entry,societal stereotypes, and harsh program cultures amplify underrepresentation in engineering ofthese historically excluded groups [1]. The high-stakes, competitive, individualistic nature ofengineering programs makes students from underrepresented groups feel isolated andoverwhelmed [2], [3]. Engineering programs tend to have intense curricula with little flexibilityand rigid prerequisite structure, preventing students from shaping their learning, pursuing whatthey’re passionate about, and connecting their learning to societal problems [4], [5]. As of 2020,women earned only 21% of the nation’s engineering degrees and made up only 15% of theengineering workforce [6]. Black and Hispanic
capstone design course and a junior-level creativity and entrepreneurship designcourse. This assessment will compare two different learning experiences on ISE, INT, and IW,the K-12 STEM education activity design with a semester-long, group-based technical designexperience. Preliminary results will be presented in the NSF Grantees Poster Session.IntroductionEducation for innovation is increasingly recognized as vital in today's world, with numerousstudies highlighting its significance [1-4]. Innovation is essential for addressing the GrandChallenges in environmental engineering identified by the National Academies [5]. Whileinnovation can take various forms, it typically involves introducing new or significantlyimproved products, services, or
markedlyhigher for program scholars during the pandemic, suggesting that the program may have beenparticularly impactful for students as they endured the emotional and financial stresses of thepandemic.IntroductionThe National Science Foundation (NSF) scholarship program for students in Science,Technology, Engineering and Mathematics (S-STEM) has been operating for many years. Thegoal of the program is to support low-income students in pathways to STEM degrees. Beyondscholarships, the program supports activities that focus on retention and recruitment of STEMstudents [1].This NSF program has been important for students with lower socioeconomic backgrounds(SES) due to persistent equity gaps [2]. SES students may be reluctant to pursue STEM degreesfor
account for44 more than 60% of greenhouse emissions [1]. ASEE 20244546 Furthermore, while the IPCC and other reports highlight an underlying need for environmental47 conservation and a reduction in consumption patterns worldwide, there are still more than 2 billion48 people around the world without access to safely managed drinking1 water and managed sanitation49 services, around 1.8 billion do not have adequate access to housing, and there are more than 7050 million children engaged in hazardous child labor around the world [2]. Based on these challenges,51 the engineering community has responded with both research and educational initiatives that have52 adopted the language of
were small,negative, and non-significant. The classroom environment results were more favorable foradaptive learning, with four of the seven environmental dimensions having notable positiveeffect sizes. In this article, we present information on the development and implementation ofadaptive lessons in the RealizeIT adaptive platform as well as assessment outcomes by schooland for the schools combined.1. IntroductionFlipped instruction offers the potential for enhanced learning during class by enabling problem-solving and other types of active learning. However, active learning is dependent on sufficientpre-class preparation. This challenge motivated the present research, in which we aimed tosupport pre-class preparation through personalized
loopshowing reinforcing relationships among critical consciousness, values and beliefs,actions, and collective well-being.IntroductionThe Computer Engineering program (CPE) is one of 13 degree programs offered in theCollege of Engineering at California Polytechnic State University. It is the 2024 number onecomputer engineering program at a non-doctorate granting institution according to U.S.News & World Report [1], and is known for its Learn by Doing approach to education. Ourgraduates are highly sought after, and many graduates pursue full-time employment withlarge tech companies. The program is in demand for incoming students. On average, CPEreceives 1500 first-time freshman (FTF) applications, and enrolls 100 FTF students. CPEonly graduates 70
. As a capstone, teachers developed research projects synthesizing this interdisciplinarycontent with their own interests and background. As a result, the teachers have submitted severalposters with abstracts to the 2024 ACM SIGCSE and IEEE ISEC conferences and will bedelivering grant-related lessons in their classes during the current academic year.1 Introduction and MotivationDeveloping and understanding data fluency is increasingly important given the rapid changesrelated to living, learning, and working in the knowledge society of the 21st century. Meeting thiscommitment requires well-prepared teachers with proper support, including tools and resources,and yet, professional development and teacher preparation around data fluency is spotty