focus groups. The two questions posed to thestudents were:Q1: While studying for the mid-term exams and completing homework assignments, whatresources did you find helped you the best?Q2: During the design portion, what resources did you use to reference theory & to troubleshootin BioWin?FindingsThe following are the results of the Course Feedback & Resources Survey. Each question wasrated using a Likert Scale ranging from 1 to 5, with 1 corresponding to 'Strongly Agree' and 5corresponding to 'Strongly Disagree'. This survey had an 86% response, with 19 students of 22from the cohort filling it.Mode of Instruction: The preferred mode of instruction was in-person, with most studentspreferring to work with their peers during class to solve
Responses from Semester Beginning to Semester EndAn initial observation is that students self-reported significant increases in ‘technical’ skills (e.g.CAD, tech writing, and hands-on skills). Relational and professionalism aspects showed mixed(i.e. belonging +0.3%, close-knit peers +7.0%, fun/enthusiasm -4.3%) or even declining (e.g.learning valuable skills -6.4%, habits and professionalism -7.2%, taking responsibility forlearning -2.4%) results. Two possible explanations are: (1) the initial survey is given at a peaklevel of enthusiasm (Approximately Day 3 of the semester) while the final survey is given duringfinal exam week, a relatively low point, and (2) as noted, initial responses may have capturednaivete, while final responses may have
had amemorable class experience. However, before implementing this educational approach, the studyidentified several challenges, including video production, post-production, script writing, andvideography.This paper explores using student-created technical videos in a course on the chemical behavior ofmaterials through three separate assignments. It is important to note that the University of Dayton(UD) has access to a Podcast studio with technical support for recording podcasts and vodcasts.However, no assistance is provided for script writing and post-video editing. This workhypothesizes that student-led videos give an in-depth understanding of a particular topic inmaterials chemistry and can help students disseminate their knowledge to
” requirement. Students are grouped into teams that design and execute collaborative experiments within their own kitchens and then pool the data to draw conclusions. This “science” work then forms the basis of individual students’ food engineering designs for new and improved food products. The course uses three iterations of this experiment-analysis-design loop as its primary instructional and assessment mechanism. This work is complimented by lectures and supplemental video material as well as reading and re ective writing. This paper describes the course outcomes, design, and delivery, and concludes with portable takeaways for those seeking to create similar courses at their own
toproduce peer-reviewed papers but to provide students with the experience of tackling open-ended, research-oriented questions, mirroring the challenges encountered in graduate-levelstudies.Examples of ChatGPT EnhancementsInitially, the curriculum did not include formal programming or MATLAB instruction, whichposed significant challenges for students. Many struggled with fundamental tasks such aspreparing datasets for analysis in MATLAB’s Regression Learner Toolbox. Data preprocessingtasks, including variable elimination and row or column manipulations, proved difficult andtime-consuming for both students and instructors. These bottlenecks consumed countless hours,diverting focus away from meaningful research and exploration of machine learning
relationships withpotential recommenders than their peers [3]. Even for students who do develop suchrelationships, there is no guarantee that their accomplishments will be viewed equally. Socialpsychologists warn implicit bias is ubiquitous, even among individuals who aim to treat otherswithout prejudice, and especially in circumstances that involve high-stakes decisions [4].Previous research on LORs, conducted primarily on small samples from medical residency andfaculty searches, suggests that the language used in LORs for qualified applicants from groupsunderrepresented in STEM can differ from groups than aren’t underrepresented in STEM. Forexample, using dictionaries of words and phrases with positive and negative associations, somefind that letters
University. Dr. Ellis has a long-time interest in software engineering education and has been interested in student participation in Humanitarian Free and Open Source Software (HFOSS) since 2006. ©American Society for Engineering Education, 2025 What’s Your Why?Helping students define their explicit value proposition using a 3-minute pitchAbstractArticulating your value and defining identity within a learning community can be a challenge forundergraduate students. Developing appropriate communication skills and strategies to improvecan be taught using peer-, self- and faculty-feedback tools. This is done through providingopportunities to fail and iterate. An appropriate
engineering (i.e. developing prompts to maximizeoutput accuracy), evaluation of AI responses, and ethical considerations [9-11].Due to its versatile nature, AI has the capacity to be used in nearly every academic discipline,similar to the use of the internet. However, AI may be most effective in fields where students arerequired to complete more ill-defined tasks such as writing lab reports or creative writing [1],[8]. Similarly, AI has been used in marketing and other business fields for content creation, salesoptimization, and for customer service chatbots [12-13]. In science education, the use of AI hasbeen shown to can boost students’ motivation and participation in learning exercises, but it haslimitations regarding complex subjects, and can
navigation.Education PlanFor the education plan of this CAREER project, we developed the Engineering StudentPreferences in Navigating (E-SPIN) SJI. E-SPIN, for short, contains 19 scenarios related to theobstacles and opportunities commonly encountered in engineering and various ways to respond[12], [13]. The goal of E-SPIN is to surface students’ navigational tendencies to help them learnabout themselves and provide a basis for practitioners to offer personalized support.E-SPIN scenarios span six domains: academic performance, faculty staff interactions,professional development, extracurricular involvement, peer group interactions, and specialcircumstances. Table 1 includes an example scenario and ways to respond. Users select tworesponses to the prompt “What
theresearch. This concise structure allowed students to quickly integrate into the program whileminimizing information overload.2.1.2 ProjectFor the following nine weeks, small mentoring groups were formed, with five faculty advisorseach working with a team of 2-3 students. 2 graduate students served as project coordinators aswell as near peer mentors. The students divided their work hours between a common laboratoryshared with the rest of the cohort and their advisor's laboratory, where they collaborated withtheir advisor's research groups. Intentional Strategies to improve teamwork and collaborationwere implemented, such as: • Collaboration: Students worked in teams, balancing collective tasks with individual contributions. Additionally
2024 9 8 89% 2023 12 6 50% Capstone 2024 6 2 33% Total 34 20 59%The surveys for both courses included the six statements shown in Table 2. Possible responseswere strongly disagree (1), somewhat disagree (2), neither agree nor disagree (3), somewhatagree (4), and strongly agree (5). Most students agreed that the course grading method increasedtheir ability to implement the design process, complete an engineering design project,communicate effectively, and write organized project reports. Overall, students also liked thelearning environment in the course and preferred the grading system to the ones in
Paper ID #49274Work-in-Progress: Student perceptions and usage of generative AI in second-yearchemical engineering design exercisesDr. Jonathan Verrett, University of British Columbia, Vancouver Jonathan Verrett is an Associate Professor of Teaching in the Department of Chemical and Biological Engineering at the University of British Columbia. He teaches a variety of topics with a focus on design in chemical and biological engineering. His pedagogical interests include leadership development, open education and peer-learning. ©American Society for Engineering Education, 2025Work-in-Progress: Student
of ecological systems [26], Mondisa and colleaguesdeveloped a STEM Mentoring Ecosystem framework [13] to better understand what causes mentorsand mentees to use some resources, what patterns of mentoring exchanges are productive, and whatstructures cultivate mentoring interactions. According to the model, there are several interacting systems within mentoring in STEM[13]. Microsystems provide the most direct person-to-person encounters and for graduate students,these interpersonal or intragroup interactions can include peers, faculty, staff, and family.Mesosystems include the intergroup interactions between microsystems such as departments,colleges, or schools that serve to support or create conflict with each entity. Ecosystems
to conceptualize, create, and refine their designs.Additionally, the course equips students with essential skills in computer-aided design, simulation,technical writing, oral presentations, and project management, ensuring they are well-prepared forfuture academic and professional pursuits.In this WIP paper, we propose a study to quantitatively assess the success of the cross-disciplinarycourse in motivating students at NJIT to persist in engineering, relative to the discipline-specificcourses. In particular, the study aims to answer the following hypotheses: 1. Students who complete the cross-disciplinary course are more likely to persist in their engineering studies than their peers who enrolled in a discipline-specific course. 2
outputs from recently developed AI tools is a quite newchallenge that research communities are just now forming to address [23]. An investigation ofAI accuracy found that ChatGPT 3.5 proved, “…generally good at writing concepttopics…”[24]. One reasonably classifies a literature survey task as a concept topic, suggestingthe potential for accurate results from AI. However, this work uses Gemini 1.5 Flash, notChatGPT 3.5. Verhulsdonck and coauthors introduce a subjective means of evaluating theaccuracy of AI generated content independent of the particular tool [24]. Their HEAT method,an acronym formed from Human experience, Expertise, Accuracy and Trust, attempts tosubjectively gage AI output credibility. In this work’s contents, the H and E terms
students’knowledge, skills, and attitudes. While these assessments might contribute to achieving learningobjectives, the development of thinking, problem-solving skills, and student motivation shouldbe explored as an extracurricular activity rather than an assignment that takes place in aclassroom environment.Augmented reality (AR) is a technology that overlays virtual objects in the real-worldenvironment, which enhances users’ engagement [6]. This technology has been applied toencourage critical thinking in learners of different ages [7-9]. Through the Assemblr Eduplatform, it is shown in [7], that English writing skills are improved. Similarly, in [8], ARtechnology is used to facilitate collaborative learning in science education, while in [9], it
their Prelab responses and workedcollaboratively through additional case studies and example problems related to the topicsintroduced. In Week 7, students gave short presentations (5 min) to their peers to practicecommunicating important gaps in scientific and engineering knowledge and receive feedback.Table 2 shows the list of discussion topics and associated RDC learning outcomes. Principles ofbackwards course design were used to map the RDC learning outcomes to discussion topics andPrelabs [12]. Table 2: MatSci 160 discussion topics and associated RDC learning outcomes Expected RDC Week Discussion Topics
---these kits are great for that. There often is a disconnect to science in such kits, but these resources allowed me to make the connection to science. “That is what made it allowable for me to use it as science.”Third, parents adapted the kits to meet the learning needs and abilities of their children. We adapted the kit to focus on writing with my daughter. Writing sentences out of context is not of interest to my daughter. We made sure to write things out. I allowed my daughter to make the thing her own. There were no rules. It was open-ended. This would not have worked with my other child who wants more step-by-step instructions and being compliant.DiscussionSTEM kits grounded in the engineering design process may be an avenue
groups experienced certain aspects ofthe program.ResultsCollaborations from CyBR MSI programming lead to motivation and confidence in submittingfederal grant opportunitiesSurvey results indicate the value of CyBR-MSI in supporting participants’ confidence andmotivation to submit federal grant proposals. Descriptive results show that participants agreed tostrongly agreed (1 = strongly disagreed, 2 = disagreed, 3 = agreed, 4 = strongly agreed) thatparticipation in a CyBR-MSI program exposed them to new federal grant opportunities (x̄ =3.14/4.00) and encouraged them to apply for federal funding (x̄ = 3.27/4.00). These faculty alsofelt more confident in their ability to write grant proposals (1 = not at all confident, 2 =minimally confident, 3
% reportlistening to podcasts over textbooks or journal articles as a method of weekly extracurriculareducation [8], [9], [10]. Podcasts are also increasingly used to provide continuing medicaleducation (CME) credits to professionals. The internal medicine podcast Annals on Call hasthousands of CME credits claimed by independent physicians. Competency-based medicaleducation relies on self-directed forms of learning [7]. Several studies have shown that individualswho have access to podcasts as supplemental materials outperformed their peers during knowledgetesting [11], [12]. Some U.S.-based medical schools and residency programs have also begunintegrating podcasts in formal curricula in flipped classrooms [7].Podcasts have been evaluated for their
have agency over theircollective learning. Thus, EOP ambassadors will benefit from identifying and driving the focusof their learning and their projects based on their personal interests and contexts.This CoP approach will show up in how ambassadors are convened biweekly, first as a cohortand then in smaller peer groups. Peer groups will be chosen after each campus team hasidentified their curricular project of choice, with a goal of matching teams with similar campuscontexts and projects. Ambassadors will also automatically become members of the EOPNetwork. Being a part of and engaging in EOP Network activities will benefit students byenhancing their knowledge of EOP’s mission and models for integrating sustainability. Onceproject work is
the learning side by developing an Integrated Engineering foundational course withwhat the authors call a “combination of variation theory and capability theory, content framed interms of threshold concepts, and delivery using cooperative peer learning method[s]” (p. 1) [9].Lin and Low have recently proposed an Integrated Engineering Education Alignment Model forIndustry 4.0. The authors report that the integrated alignment model nurtures synergy amongEngineering Education activities such as applied learning, applied research, and continuouseducation training (CET) programs to share a common Industry 4.0 vision with diversestakeholder groups such as students, faculty, industry partners, and recipients of CET programs.The authors use the
to be developed inductively. The final round of coding used axial coding, whichaims to center the coding around the most salient topics [22]. The researcher engaged incontinual peer debriefing and analytical memo writing to engage in reflexivity as they engagedwith the data in more profound ways [21]. The themes for this paper were determined during thefinal cycle of coding and aim to capture the most salient topics described by the participants.Any redactions or author's notes inserted for clarification are noted in italics and brackets. Thethemes are further explored in the findings section below.FindingsThis work-in-progress paper is focused on understanding four women’s motivations for joining aGI ESO and how their membership impacted
emotional and instrumental support (see [12] - [15]). However,much of this research generalizes the larger LGBTQ+ experience and relies on establishedframeworks utilized in the STEM and engineering education space (e.g., queer theory, socialcapital theory). Therefore, outside of a select few exceptions (see [16], [17]), the research oftrans scholars in trans studies has seldom been utilized to understand the lived experiences of ourTNBGNC peers in STEM. We believe that the use of trans studies frameworks andmethodologies in STEM and engineering education research with the TNBGNC community canenrich current discourse by fostering a deeper understanding of the transgender experience andcreate pathways to transform educational practice.If we, as
design activities with authentic engineering contexts; the design and implementation of learning objective-based grading for transparent and fair assessment; and the integration of reflection to develop self-directed learners.Anu Singh, The Ohio State University Anu Singh is a Ph.D. student in Engineering Education Research at the University of Nebraska-Lincoln. She completed her M.Tech in Digital Communication and her B.Tech in Electronics and Communication Engineering in India. Her research interests include self-regulation, metacognition, reflection, and argumentative writing in engineering.Euclides Maluf, University of Nebraska - Lincoln The author is an experienced Industrial Engineer with a minor in Occupational
opportunities. … But what really pushed me was when I was in high school and I realized that scientists were studying us. And basically … there were a lot of environmental justice activists that were coming out and shouting that we were dying. …. And then the University of [DEID] came to my high school to recruit for a study of the health impacts of these chemicals. …. But they never came back and told us what the results were at all. That fueled me. …. I would one day face those researchers that did that study in my hometown and then they were gonna have to answer [to me]. …when I landed in higher education at the Ivory Tower I wasn't ready …. So I had to work triple, quadruple more than a lot of my peers. …. I realized that my passion
Paper ID #48079A Survey of Task Planning: Pre- and Post-Assessment of a Project ManagementActivity in the Computer Science Senior CapstoneAimee Allard, North Carolina State University at Raleigh Dr. Aimee Allard is a member of the Senior Design Center faculty in the Department of Computer Science at NC State. As the Communications Coordinator and an instructor in Senior Design, she works with students on writing- and communications-based milestones: task planning, documentation, reports, design strategies, presentations, and more. She is passionate about Senior Design because not only do students gain real-world experience
experience. Specifically, I advanced my knowledge of establishing a successful undergraduate research program. … Through the class project, I observed students learn how to collaborate effectively, which will be essential for future work tasks. Additionally, they benefited from knowledge-sharing during the collaborative process, providing a valuable opportunity for peer-to-peer learning. They also improved their presentation and writing skills. I also expanded my knowledge on how to spark curiosity among students and motivate students to think deeply about the relevance of the course material to their professional journey, and, most importantly, inspire them to explore the subject further through self-study."The strong positive feedback from
briefings. For example, the preliminary design report in this capstone course included 36distinct requirements or specifications. These requirements are easily adapted for use as gradingrubrics, ensuring completion of all required elements while allowing minor mistakes in technicalcontent, writing style, and formatting. (A list of specifications for each deliverable is provided tostudents via Canvas, an online learning management system.) Students are informed that masteryis approximately equivalent to earning 87% in a traditional grading system.The third step in implementing specifications grading is to define how course content masterymaps to letter grades. One option is to base grades on the number of learning outcomes mastered.However, this
projects, the faculty recognized the need for a common classmeeting time for all four majors’ capstone courses. Previously, each department’s assigned three-hour course time was independently scheduled. Of the new, common three-hour period, at leastone hour each week is set aside for interdisciplinary work, with a dedicated lecture hall reserved.During this time, students interact with peers of all majors, students present their project work,and unified skill workshops are held. This interdisciplinary hour is reserved every week but isnot always used.Prior to this initiative, students on an interdisciplinary team were required to presentindependently to each departmental course. This often resulted in fully separate presentations,depending on each