and Evaluation and International Journal of Pavement Research and Technology. He serves panel member for several NCHRP and ACRP projects. He is also a registered professional engineer in Alabama and LEED AP.Drew Gossen, University of South Alabama ©American Society for Engineering Education, 2025 Engineering Inclusion: Understanding Faculty and Student ViewsAbstractHaving an up-to-date understanding of students’ and faculty’s perceptions of diversity andinclusion within the educational environment is crucial effectively developing and implementingdiversity and inclusion initiatives. This study, conducted in the College of Engineering at a mid-size public regional university on the Gulf Coast in the
improvement: • Pre-course efficiency: 2.67/5. • Post-course efficiency: 4.07/5. • One student shared: “Switching roles helped my efficiency. Having that 10-minute marker helped me think and write my code more efficiently.” • Another student noted: “Pair programming gave me opportunities to see how other people go about solving and formatting their code for different problems.”Q10 - Collaboration Willingness in Programming Projects: Rate your confidence incollaborating with others on programming projects.Students reported increased confidence and skills in collaborating on programmingprojects: • Pre-course collaboration level: 3.27/5. • Post-course collaboration level: 4.05/5. • One student noted
Paper ID #46801BOARD #120: WIP: Introducing frequent surprise exams to gradually fosteracademic integrityBlanca Esthela MoscosoDavid Francisco Coronado David Francisco Coronado Soria is a civil engineering graduaded at Universidad San Francisco de Quito with experience in research, teaching, and construction. His work focuses on sustainable design, structural analysis, and community development. He has collaborated on scientific publications, worked as a teaching assistant, and led engineering projects with social impact through Engineers Without Borders. He is now a candidate for a Master in Structural Engineering at the
training workshops in different countries. Among other courses, he taught: Software Engineering, Database Systems, Usability Engineering, and Software Project Management. ©American Society for Engineering Education, 2025 Pedagogical Agents in the age of Generative Artificial Intelligence: Challenges and Opportunities in K-12 STEM EducationAbstract Immersive technologies like Virtual Reality (VR) and Augmented Reality (AR) haveprovided a promising shift in many areas, especially in education. Additionally, usingPedagogical Agents (PA) in education has improved student’s learning in many fields likecomputer science, math, engineering, and English. Recently, Generative AI (GenAI) wasintroduced in
Project-Based LearningRegarding AI’s impact on collaborative or project-based learning, 50% of respondents agreed(29.17%) or strongly agreed (20.83%), while 41.67% were undecided. Only 8.33% disagreed.These findings suggest that although AI is seen as somewhat supportive of group learning, manyremain unsure of its collaborative affordances, possibly due to its inherently individualized use.These results suggest that generative AI tools like ChatGPT are widely viewed as helpful forunderstanding complex content and partially supportive of active inquiry and critical thinking,aligning in part with constructivist values. However, the relatively high percentage of undecidedresponses, particularly regarding collaboration and inquiry, may indicate
role in the classroom, helping them to create better coursesand a more supportive atmosphere for students. “In design projects, developing projects, in course development and course activities, in assessment, etc.” “Most profs were excellent students, so we need to imagine the struggles faced by the more average students. Also, we tend to act like our course is the only or most important course the students are taking, so we need to adjust our expectations of what the students can realistically accomplish in a semester full of other demands.”No negative themes, or themes reflecting the belief that empathy has no value or role
Engineering Department at MIT. SheKhas served in various teaching capacities from undergraduate instructor to lead instructor of courses in design and manufacturing in the departments of mechanical engineering and materials science at MIT over the course of eighteen years. Her PhD research and current lab focus on projects at the intersection of design and manufacturing, with challenging materials and environments. For five years prior to graduate study, she worked as a manufacturing engineer in the medical device and microfabrication industries. This time in industry, combined with her experience as an undergraduate student taking the same course, as well as family members specializing in education careers have
full credit courses and is also described by [9];here, students serve as “team coaches” for the first-year students’ ELL teams. These second-yearstudents take turns facilitating the ELL activities, a responsibility for which they receive coachingand instruction from the GEL teaching staff. The second-year students also undertake a shortcourse in project management and select an additional leadership-related elective course to take.The foundation of GEL’s curriculum, Capabilities of Effective Engineering Leaders [10], wasdeveloped soon after the program’s launch as a consensus report from workshops involvingengineering and leadership educators, leadership specialists from the military, and practicingengineering leaders. This report was also
, GradTrack included 26 mentors and 100 mentees. Currently, themanual process of matching mentors and mentees is time-consuming, requiring 4–8 hours ofadministrator-assigned matching per program. While tools exist for grouping students into teamsfor class projects [5], most widely used tools are commercial, fee-based, and/or are more complexthan needed. Therefore, we identified a need for a simple, open-source solution specifically formentoring structures.The purpose of this research project was to develop a streamlined method for the formation ofmentoring circles as GradTrack continues to grow, specifically by leveraging widely usedstatistical algorithms such as k-means clustering. Using data from three years of manually createdmentoring circles, we
will contribute to a large project,where the full texts of the chosen abstracts will be review and analyzed.MethodsThis scoping review was guided using the Arksey and O’Malley Five-Stage Framework forStructured and Systematic Scoping Reviews. Stage one of the framework requires identifying aresearch question, which went through a series of iterations. Initially, the research question “Howdo engineering programs integrate Justice, Equity, Diversity, and Inclusion (JEDI) frameworksinto their curriculum to meet the needs of the diverse populations they serve?”, was posed to geta general understanding of the place that JEDI frameworks have in engineering programs. Afterfurther consideration of the question, it was decided that it needed a better
∗ hall.carrie98@gmail.com, Safia@ksu.edu, lshamir@ksu.edu Kansas State UniversityAbstractData science careers are projected to grow by more than 30% by 2032, yet data science academicsare lacking and cannot satisfy the growing market demand for qualified data scientists.Additionally, K-12 data literacy rates are declining, introducing a gap between moderndata-driven society and the ability of members of society to understand data. Early experienceswith STEM subjects have been shown to influence and predict students’ long-term careeroutlooks and outcomes. In the context of data science, this means that early introduction at theK-12 level is crucial in order to develop and maintain the data science workforce. Although
Cincinnati Ibrahim Awartani is an international doctoral student pursuing Engineering Education in the Department of Engineering and Computing Education at the College of Engineering and Applied Sciences at the University of Cincinnati. His BSc is a Mechanical Engineering degree from Philadelphia University in Jordan. His MSc background is a Master’s of Sciences in Engineering Management from Eastern Michigan University. He has 5 years of project management work experience in the construction and consulting fields and yearly summer teaching experiences in Qinzhou, China. His research interests are focused on international curricula and grading methodology, accessibility, course climates, department culture, and course
project, where he led data analysis efforts using advanced statistical and machine learning techniques.Gabriel Tomas Fierro, Colorado School of Mines Gabe Fierro is an Assistant Professor of Computer Science at Colorado School of Mines, with a joint appointment at the National Renewable Energy Laboratory. Dr. Fierro usually works at the intersection of databases, cyberphysical systems, and knowledge graphs where his research focuses on the design and development of data systems that enable sustainable practices at societal scale.Dr. C. Estelle Smith, Colorado School of Mines Dr. C. Estelle Smith is a Tenure-Track Assistant Professor in the Department of Computer Science at the Colorado School of Mines. Her research
instruction on GenAI literaciesbeyond course policies related to authorship and plagiarism. This suggests an undercurrentwherein students are actively developing AI literacies that impact how they develop as engineersbut with loose coordination with the faculty charged with curating the learning experiences thatstructure engineering expertise. Our project seeks to understand student being and becomingduring the early moments of the GenAI era.The emergence of GenAI has shifted higher education and the role of language, writing, andliteracy in students’ learning. Students will need to develop GenAI literacies that can help themcomplete learning tasks without compromising the intellectual labor they need to exert in orderto acquire professional
teachingpractice, all participants – including me – talked about the topics they teach and/or theirpedagogical approach. Valerie, Nancy and I refer to guided inquiry as our pedagogical approach,while Elizabeth describes her pedagogical approach as constructivist and project based. We donot name topics or activities, which presupposes that any topic we teach is presented throughguided inquiry or within the context of a project. Renee, Ellen and Jill describe specific kits orkit publishers, topics, and strategies such as science notebooking. The kit-based curriculumpublishers these teachers mention make their pedagogical approach explicit in the teacher guidethat accompanies the kit, so these teachers might conflate the kit publisher or topic with
factsimply dynamic scattering, but in a cholesteric, the scattering state reverts only very slowly tothe clear original structure. The optic axis is arranged perpendicular to the cell plates and so thefilm starts off clear. Application of’ a low frequency voltage leads to disruption of the film into ascattering condition which can persist for months after the current is stopped. Application of analternating voltage above the Frederiks threshold and beyond the cut-off frequency causes aFrederiks effect which regains the original clear structure. The device thus has one stable andone metastable off state and thus exhibits memory.VI. References1. T. Kountotsis, "Liquid Crystal Display Design", Western New England College Summer Design Project, June
he earned his master’s degree in civil engineer- ing. He also worked as a project Analyst with AgileP3 after graduating with a Bachelor of Engineering (B.Eng) in civil engineering from Covenant University, Nigeria. Adebayo has taught courses in Trans- portation and Chemistry at Morgan State University as part of his commitment to the STEM profession. He has attended conferences across the Transportation engineering field.Dr. Steve Efe, Morgan State University Dr. Steve Efe is an Assistant Professor and the Assistant Director of the Center for Advanced Transporta- tion and Infrastructure Engineering Research. He obtained his Doctor of Engineering in Civil Engineering with a major in Structural Engineering and minDr
methodologies, community engagement projects, evaluation tools and tech- nology, and gender studies in STEM education. https://orcid.org/0000- 0002-0383-0179Prof. Maria Elena Truyol, Universidad Andr´es Bello, Santiago, Chile Mar´ıa Elena Truyol, Ph.D., is full professor and researcher of the Universidad Andr´es Bello (UNAB). She graduated as physics teacher (for middle and high school), physics (M.Sc.) and Ph.D. in Physics at Universidad Nacional de C´ordoba, Argentina. In 2013 she obtained a three-year postdoctoral position at the Universidade de Sao Paulo, Brazil. Her focus is set on educational research, physics education, problem-solving, design of instructional material, teacher training and gender studies. She teaches
students feel successful, thus reinforcingSTEM identity. The perspectives of all three groups help to describe essential components of aresearch internship that can be employed in the development of high school STEM programs andways in which these programs can support URM students.Background and SignificanceCurrently, there are over one million STEM job openings without qualified applicants in theUnited States, and the field of Biomedical Engineering (BME) is projected to grow 10% from2021 to 2031 [7]. To meet growing BME workforce needs, it is essential to support initialstudent interests in STEM to aid students’ decision making. One strategy that has seensignificant success in encouraging students to pursue STEM and engineering fields has been
outcomes of the instructional design phase are clear learning objectives, clear ways toassess students' learning, and possible pedagogical approaches. Regarding the latter, we mustemphasize that virtual labs can be adopted with any pedagogical approach, includingdemonstrations, simulations, project- and problem-based learning, and inquiry-based learning.When you know in advance which approach you will use, a more tailored virtual lab can bedeveloped.2.2 Virtual Lab Design DocumentLike a game design document [31], a virtual lab design document is a comprehensive plan fordeveloping a virtual lab. It outlines the virtual lab's objectives, goals, and learning outcomes,as well as the instructional strategies and pedagogical approaches to be used. The
foundational assumption within the use of contentanalysis is that by establishing a set of common codes, organized into themes, large amounts ofqualitative textual data can be considered within fewer content categories [12] as a route to identifythemes or patterns in the text driven. Content analysis has variations based on research traditionwith some common steps: defining the categories, coding process and the coder training,implementation of coding, and analyzing the coded material [13]. Within coding, inductive anddeductive analyses may be useful depending on the existing prior knowledge on the research topic[14].Strengths & Weaknesses: Content analysis provides systematic analysis of text data whileallowing for an organic project-specific
curriculum and students’ campus life experience. The results of interviewsare summarized by the Chair and presented to the entire faculty at the departmental meetings.UTSA Graduating Student Survey: UTSA’s Office of Institutional Effectiveness conductssurveys of all graduating students both at undergraduate and graduate levels on a regular basis.The results are summarized for each degree program, each college, and the entire university.Student performance measuresThe primary performance measures used to assess whether students are achieving the ProgramOutcomes include graded homework, quizzes, exams, laboratory reports, project reports, and oralpresentations. The results of the Fundamentals of Engineering (FE) exam also provide
increase the retention and graduation rates(shown in Table 1).The RGV service area of UTRGV encompasses the four counties on Texas’ southernmost borderwith Mexico including Cameron, Hidalgo, Starr, and Willacy counties. Approximately 93% ofUTRGV students are residents in one of the four counties (~61% from Hidalgo County, ~28%from Cameron County, ~3% from Starr County, and ~1% from Willacy County).The need for the proposed project is based on three key characteristics of the region (Table 2): • Rapidly Growing Population: In terms of population, Table 2 shows that Hidalgo County (the largest county in the RGV) is growing at a faster rate than the USA. • Very Young Population: The U.S. Census Bureau also reports that the
] reported that student focus groups provided access to in depth understanding ofengineering students’ attitudes around and resistance to nontraditional teaching methods thatwere otherwise less directly measured through surveys. To this end, future efforts of this ongoingresearch project include collection of in-depth qualitative data from a subset of participantsthrough observation and/or interviews that will seek to gain descriptive, experiential insight intoindividual and interpersonal processes toward implementing EBIPs into engineering courses.Additionally, the project will generate longitudinal data through working with facultyparticipants over the course of a class term in order to gain understanding of fluctuating demandsand needs that may
student’s own design process and solutions. 3. Merely manipulating or altering others’ images through digital or other processes does not in itself constitute legitimate appropriation, and may qualify as copyright violation. 4. Attribution of uses of others’ creative work is essential, and can be handled in a number of ways: – In presentations summarizing research or precedent analysis, any representation of source projects should be accompanied by identifying information (building, location, designers, date). Students should also be aware that rights to photographic imagery are also often held by photographers independently of the source project’s designers. – In cases in which
engineering standards, students' prior knowledge, and real-world applicationsFigure 7. Applying the product development process to develop a laboratory course that connects engineering standards, students' prior knowledge, and real-world applications.The two laboratory modules discussed in this paper were part of our department's laboratoryrenovation project. Our team was tasked with designing, developing, and teaching the newlaboratory course to replace the preexisting laboratory course in the previous curriculum. Thecomprehensive details of the project and the complete course design can be found in our earlierpublication [2]. For creating the two laboratory modules presented in this paper, we followed atraditional product development
, Geographical Information System and other civil engineering discipline. He has handled several national and international projects in the area of engineering, technology and Engineering Education. He has offered MOOC programme on SWAYAM Portal in the area of Student Assessment and Evaluation, Technology Enabled Teaching Learning, Sustainable Construction Materials and Techniques, Civil Infrastructure for Smart City Development etc.Dr. Janardhanan Gangathulasi, National Institute of Technical Teachers Training and Research, Chennai,India Janardhanan Gangathulasi holds both Bachelor in Engineering (Civil Engineering), Masters degree in Geotechnical Engineering from College of Engineering Guindy, Anna University, India and
motivation and their learning experiences. Her projects include studies of student perceptions, beliefs and attitudes towards becoming engineers and scientists, and their development of problem-solving skills, self- regulated learning practices, and epistemic beliefs. Other projects in the Benson group involve students’ navigational capital, and researchers’ schema development through the peer review process. Dr. Benson is an American Society for Engineering Education (ASEE) Fellow, and a member of the European Society for Engineering Education (SEFI), American Educational Research Association (AERA) and Tau Beta Pi. She earned a B.S. in Bioengineering (1978) from the University of Vermont, and M.S. (1986) and Ph.D. (2002
://doi.org/10.1002/tea.21458Gutiérrez, R. (2013). The sociopolitical turn in mathematics education. Journal for research in mathematics education, 44(1), 37–68.Jurow, A. S., & Shea, M. (2015). Learning in equity-oriented scale-making projects. Journal of the Learning Sciences, 24(2), 286–307.Kelly, G. J., Cunningham, C. M., & Ricketts, A. (2017). Engaging in identity work through engineering practices in elementary classrooms. Linguistics and Education, 39, 48–-59.Kelly, G. J., & Cunningham, C. M. (2019). Epistemic tools in engineering design for K‐12 education. Science Education, 103(4), 1080–1111Leydens, J. A., & Lucena, J. C. (2018). Engineering justice: Transforming engineering education and
pursue a college degree in STEM and moved on to a graduate degree in EducationalPsychology. The first author uses ‘they/she’ pronouns. The studies from which the interviewcame are part of a grant to the second author, which focused on helping preservice, earlychildhood teachers learn to debug block-based programming so they can teach with robots.Through the project, we developed scaffolding to help these preservice teachers learn to debug,and researched the effectiveness of such [30], [31], [32], [33]. But one of the critical take-awaysfrom this research was the importance of the positionality of the informants as prospectiveteachers who were learning to teach early learners, women who are highly under-represented incomputer science and