questions. Therefore, it is desiredto use a low cost open educational resource (OER) that can be adapted to the needs of eachcourse. One such OER is MyOpenMath, a mathematics based online tool that integrates intocommon learning management systems and is free for both faculty and students. In this paperwe discuss how this tool is currently implemented in a senior capstone design course and a unitoperations laboratory in chemical engineering. This presentation includes characteristics ofMyOpenMath, benefits for instructors, available instructor training, and benefits over usingcurrent quizzes in the Canvas LMS. Not limited to chemical engineering courses, MyOpenMathis applicable to any equation based course. This paper focuses on the faculty
author (sbhattacharia@wtamu.edu, nhiranuma@wtamu.edu) AbstractWe developed curricular activities that were based on the application of a Community IceNucleation Cold Stage to teach the theory of solidification that is applicable to multidisciplinarySTEM disciplines. We adopted a freezing assay, which simulates ambient immersion freezing ina laboratory setting (i.e., freezing of ice-nucleating aerosol particles immersed in a water droplet),to provide hands-on, laboratory-based education to STEM students at a primarily undergraduateand minority-serving institute (PUI-MSI). With the freezing assay, we instructed more than 60STEM students on fundamental concepts of material and atmospheric science, such
in a session where an interactive survey was administered to capture feedback on theeducational areas identified for future projects. Participants were asked to provide their input,suggest additional areas of need, and rank the proposed educational initiatives on a scale from 1to 5, with 1 being the highest priority. Study results indicated that the most critical needidentified by CJC participants was higher education and scholarship training, as well as hands-ontraining of laboratory/field equipment. These findings will guide future MOM Belize programefforts, ensuring that the program continues to meet the needs of CJC and its community.Key Wordsneeds assessment; focus group; service-learning project; international partner
ascending survey during an NSF training session. Thepossible responses to survey questions were listed worst-to-best. Both the questions and possibleresponses were detailed focusing on the goal, experience and performance associated with eachlevel. I do not remember if the performance level was mentioned. If so, it was not necessary. Ithought I could use this experience to better determine the effectiveness of pedagogicaltechniques based on student feedback.I had five pedagogical goals for the Engineering Materials course I was teaching. They were: 1: Students will successfully perform at the analysis and synthesis levels of Blooms Taxonomy throughout the course. 2: Students will value the integrated laboratory experience. 3
. During this session, to orient participants’ design efforts, we brieflydiscussed the concept of MR [21] and six popularly used definitions of MR [6] to theparticipants.The designer-research team synthesized the results of sessions 1 and 2, specifically focusing onthe needs of ECE students for both social and academic activities that encourage collaboration,and created fictional scenarios for laboratory and social activities that required teamwork in bothFigure 3: Screenshot of participants using the prototype MR system. A virtual classroom wascreated in Gather.town based on the classroom in which session 3 took place. Both remote andin-person students’ presence is represented by virtual avatars.in-person and online settings (see Figure 3). The
provides the foundation for addressing sustainable material selection through thelens of systems thinking considering trade-offs between materials, making informed decisionssupported by data, and communication.The activity was integrated in the 1-credit Mechanics of Materials’ laboratory session atLawrence Technological University. Eighteen students were enrolled in the session and they met2 hours per week. The activity was presented to the students about 8 weeks into a 15-weeksemester. The students had gained theoretical and practical experiences in several topics throughapplications of the force-displacement relationship and the behavior of various materials.In week 8, the students were introduced to the EOP topic area of Material Selection
for a more highlyskilled workforce equipped with programming skills for the analysis of the huge amount of data thatcan be generated on construction sites, particularly with respect to the prediction of the properties ofmaterials for useful insight generation as well as rapid and informed decision making. In this study,construction students were introduced to artificial intelligence (AI) techniques and how they can beused for predicting the properties of construction materials in a construction course. First, thestudents were presented with a basic knowledge of AI for predicting the strength of constructionmaterials. A hands-on programming laboratory session was designed to get students started with theimplementation of AI knowledge through
field trips, laboratory work, and traveling to museums, aswell as the distances between rural schools and these resources, challenge schools in providingSTEM education. [2]In West Virginia, a predominately rural state (34 of 55 counties are rural), more STEM outreachefforts are concentrated in urban counties, as shown in Figure 1 and Table 1 from Coltogironeand Kuhn et al.[1]Here, we see that STEM outreach is poor in rural areas and that average STEM initiatives inurban areas of the state are about 3 times that of rural counties. Many of the rural counties haveless than two STEM initiatives.In addition, rural students are 10 times more likely to prefer working in rural settings[3], whichcreates a win-win situation in training rural students in
can build innovative and impactful educational programs that betterprepare students for careers in this evolving sector.Literature ReviewThe integration of industry expertise into engineering education, especially in medical devicedesign, is essential for bridging the gap between academic theory and practical applications.When combined with active learning, industry collaboration becomes even more impactful,enabling students to address real-world challenges [3]. Active learning, endorsed byorganizations like SEFI and ABET, enhances student engagement and performance byconnecting theoretical concepts to practical experiences [1][2]. It also improves understanding,retention, and problem-solving skills [3], and when combined with laboratory
project demonstrates mastery ofmaterial through the appropriate use of statistical methods and interpreting their results. Beyondthis, the students must further communicate these findings clearly to a diverse audience (who havetheir own, and often very different, projects).Project selection involves the students choosing a topic; these are available first-come, first-served;however, the courses assume that the students will develop their own topics (with instructorsupervision, not direction) and the students are not provided with a list of ideas. Students areencouraged to look to laboratory experiments in literature, or even science fair project ideas 1.Given the possibility that many concepts are not practical, the students are expected to
their teaching throughout theprogram. However, only one graduate student was a TA and had full access to undergraduaterecitation sessions; two other graduate students were teaching assistants but were involved withgrading and minimal classroom instruction. For this reason, the focus of the program was shiftedtoward learning about and discussing inclusive teaching, and away from implementation andformative feedback. In future iterations, consistent classroom, laboratory, and/or recitationinstruction will be a criterion to participate. It is expected that the TAs’ real-time classroomexperiences and the feedback cycle will generate rich discussion, challenge TAs’ thinking aboutinclusion and equity in STEM, and enhance TA and undergraduate
Science and Computer Engineering research and researchcapacity.VI. Current StatusThroughout 2024, both Morehouse College Computer Science and Georgia Tech ComputerEngineering program directors met monthly with specific program stakeholders to discussvarious related activities. Since the fall 2023 funding of the grant, a newly formed alliance led byGeorgia Tech has emerged to support HBCUs pursuing semiconductor manufacturing fundingopportunities. Additionally, in January 2024, the program directors and the program postdoctoured the Georgia Tech cleanroom laboratory, the largest in the southeastern US. Regardingconference and event travel, the Georgia Tech Computer Engineering program director attendedthe 7th Annual Collaborative Network for
resources fortransference learning.in Figure 2, user inputs—typed questions or spoken prompts—are processed locally for immediate,low-latency tasks, while more computationally demanding queries (such as generating a simula-tion of prior robot experiences from another laboratory) are offloaded to cloud-based AI modules.This topology ensures a responsive user experience that still retains access to advanced analyt-ics and broader knowledge repositories. The pilot setup featured short activity blocks in which ahuman user interacted with the system to solve engineering tasks. Learners could request demon-strations of a robotic arm movement, followed by AI-generated textual or spoken explanationsof the underlying principles in a classroom setting. At
, or pausing periodically (Adapted from Prince, 2004). Four participants form lecture-based sessions and 9 participants from active learning sessions reported lecturing combined with informal classroom activities. 3. Lectures combined with labs/studios pertain to a course consists of two different sessions: lectures and laboratories/studios. In labs or studios, students are expected to apply knowledge imparted during lectures through hands-on activities and projects (Adapted from Gelernter, 1988). For lectures combine with labs or studios, 3 participants of lectured-based sessions focused on lecture part, while 5 participants of active learning sessions talked more about labs or
variability on groundwater rechargeand depletion, identifying regions at high risk of water scarcity.[3]The STEM initiative combines theoretical knowledge with hands-on experimentation to deepenstudents' understanding of water systems and their management. Practical activities, such asmodeling aquifer recharge and measuring water flow rates, allow students to simulate naturalprocesses like infiltration, capillary action, and groundwater movement. These experimentsdemonstrate engineering principles in action and encourage students to design prototypes for waterconservation technologies, including artificial recharge systems and irrigation networks. Byworking with laboratory equipment and field tools, students develop problem-solving andanalytical
Cooper is Professor and Associate Head for Graduate Programs in the Department of Physics at the University of Illinois at Urbana-Champaign. He received his B.S. in Physics from the University of Virginia in 1982, his Ph.D. in Physics from the University of Illinois in 1988, and he was a postdoctoral research associate at AT&T Bell Laboratories from 1988-1990. His research interests include optical spectroscopic studies of novel magnetic and superconducting materials at high pressures, high magnetic fields, and low temperatures. Since 2013, he has co-taught (with Celia Elliott) a graduate-level technical writing course each spring to physics and engineering graduate students.Dr. Lynford Goddard, University of Illinois
test apparatus for an engineering laboratory course," Computer Applications in Engineering Education, 2024.[18] T. M. Carrigan and B. A. Brooks, "Q: How Will We Achieve 20% by 2020? A: Men in Nursing," Nurse Leader, pp. 115-119, 2016.
gender composition impact student experiences in a project-based first-yearengineering course?Methods:This study examines the effects of group size on the experiences of first-year engineeringstudents working in mixed-gender groups. This research involves analyzing data collected fromstudents following their first-year experience in the Watson College of Engineering and AppliedScience at Binghamton University in the 2023/2024 academic year. During their first year, thesestudents took part in project-based curricula each semester.There are three main components of this first-year engineering program, a large lecture with 200-400 students, activity/laboratory sections of about 24 students each, and a discussion sectionswith those same 24 students
established research labs thatwould provide peer mentoring and a CoP for the incoming ECHS students. Leveraging existinglab infrastructure for professional, technical skill, and community development was ideal forremoving additional burden to those facilitating the program, both at the ECHS and universitylevels. The faculty mentors’ preparation and training played a critical role in creating an inclusive,effective research environment. For example, mentors tailored their feedback to meet students attheir developmental stage. They focused on practical skills like poster presentations, writing forresearch, and hands-on laboratory experimentation. One participant highlighted the value ofthese experiences: “This REU was significant in me feeling
and build asupport group. The goal of the pillar is to provide spaces for students to connect and offersupport through the program and beyond.Academics: The program offers academic courses in mathematics, chemistry, and programmingto prepare engineering students in academics to ensure success in the the fall semester. Themathematics placement is based on individual ACT scores among college algebra, pre-calculus,and calculus I. The mathematics courses are offered with credits, allowing students to advance intheir curriculum.Engineering at MSU: The program offers learning experiences in laboratories and researchcenters to enlighten students with the many opportunities offered by the institution for studentdevelopment and success. This pillar
to the integration of AI in learning and teachingin the Global South will also call Governments to train local researchers and developers, to forgepartnerships with external entities and to integrate digital skills training into primary andsecondary school curricula (Chinasa T. Okolo, 2021).Menekse, despite raising some risks that students who rely too much on AI might lose interestand curiosity, also shows some confidence in AI. In the guest Editorial of the JEE (June 2023),he explains how AI-powered virtual laboratories, seen as able to simulate physical experimentsand visualize fundamental engineering concepts, could be effective for teaching and learningpurposes. Also, Large Language Models (LLMs) are presented as able to provide
Engineering (ICSE), Executive Director for Gulf Coast Environmental Equity Center (GCEEC), Director for the Solid Waste Sustainability Hub, Director for the Gulf Coast Center for Addressing Microplastics Pollution (GC-CAMP), and Director for the Sustainable Asphalt Materials Laboratory, as well as the founding faculty advisor for the Society of Sustainable Engineering. He teaches a mixture of undergraduate and graduate engineering courses. Dr. Wu is a committee member for Transportation Research Board (TRB) AJE35 and AKM 90, a member of American Society of Civil Engineer (ASCE), American Society for Testing and Materials (ASTM), and Academy of Pavement Science and Engineering (APSE), as well as an editorial member for
uniquely positioned as agentsfor diversity, equity, and inclusion (DEI) reform via shaping and maintaining the STEM cultureand provide critical levers for systems change [17]. In particular, Societies, members andsupporters from diverse STEM influencers across academia and industry, government, and nonprofits provide ‘multiple levers’ for DEI reform by shaping disciplinary culture and serving awide range of stakeholders [3], [18]. Academic literature often defines the role of STEMprofessional societies as multifaceted—spanning across varied disciplinary functions—frequently collaborating with other STEM system gatekeepers, (i.e., corporate entities,laboratories, and academic organizations) to optimize the engagement of all STEM talent andfoster
Paper ID #45202Empowering Hispanic Engineers’ Success Towards Graduate Education withHybrid MentorshipFederico Cifuentes-Urtubey, University of Illinois Urbana-Champaign Federico Cifuentes-Urtubey is a Ph.D. Candidate in Computer Science at the University of Illinois Urbana-Champaign. His research develops wireless system privacy enhancements for Wi-Fi protocols. While at Illinois, he interned at Apple, Johns Hopkins University Applied Physics Laboratory, and Sandia National Labs. He served as the Graduate Ambassador in the SHPE chapter on campus to support a community of Hispanic graduate students in engineering. He has
, space and laboratory design, andassessment and accreditation efforts. Specifically, because the Department of Engineering and its student body are in the founding phase,applicants should be prepared for and excited about the extra opportunities and challenges that this start-up process necessarily entails.Applicants should have a Ph.D. in an engineering or complementary discipline.What To Submit - Interested applicants should apply via the University’s career website at: http://www.wfu.careers/. The application shouldbe submitted as ONE PDF file and include the following: (1) a cover letter that addresses the applicant’s motivation to be a founding facultymember, personal values in alignment with the department values, and vision for building a