support service,for instance, making appointments with instructor in a feedback meeting. Levey [10] developed anoble hands-on learning exercise on fluid mechanics in a large-scale undergraduate classroom with90 students. The experiment is about demonstrating the velocity profile of a falling object inviscous fluids and accessing the drag force from Stokes’ law. The set-up is very simple and hasbeen reported to be very cost-effective, offering multiple learning outcomes such as buildingteamwork, polishing technical skills, applying theory to practice.Like other engineering pedagogy, an undergraduate level fluid mechanics course demands aneffective PBL curriculum that involves processes of investigation and inquiry, which extendsbeyond a lecture
Paper ID #43635WIP: Traditional Engineering Assessments Challenged by ChatGPT: An Evaluationof its Performance on a Fundamental Competencies ExamTrini Balart, Pontificia Universidad Cat´olica de Chile Trinidad Balart is a PhD student at Texas A&M University. She completed her Bachelors of Science in Computer Science engineering from Pontifical Catholic University of Chile. She is currently pursuing her PhD in Multidisciplinary Engineering with a focus in engineering education and the impact of AI on education. Her main research interests include Improving engineering students’ learning, innovative ways of
theEngineering Accreditation Commission of ABET as well as with the 17 United NationsSustainable Development Goals [1]. The framework is supported by ASEE and has beengrowing in popularity recently.While the framework itself includes a wealth of information through the assembly of the ideasand opinions of many different experienced professionals, it also includes an overwhelmingamount of information and outcomes if the intent is for it to be integrated into an existingengineering curriculum. There are also some unique challenges that accompany efforts tointegrate the framework into an engineering curriculum at a Christian institution, such as the oneat which the authors teach. This paper explores the development of a heavy adaptation of theEOP framework
Paper ID #38526Nuestro Impacto: An Insider Look into the Connections between Our PastExperiences and Current Teaching and Mentoring PracticesDr. Idalis Villanueva Alarc´on, University of Florida Dr. Villanueva Alarc´on is an Associate Professor in the Engineering Education Department at the Uni- versity of Florida. Her research areas of interest are hidden curriculum, multi-modal methods, mentoring, and professional development.Dr. Laura Melissa Cruz Castro, University of Florida Dr. Laura Melissa Cruz Castro is an instructional assistant professor in the Department of Engineering Education at University of Florida.Dr. John Alexander Mendoza, University of Florida John Mendoza Garcia is an Instructional Assistant
Paper ID #43555FIE 2023: An Aggregate and Statistical Analysis of the Results and Feedbackof the ASEE ERM Premier International Conference on Engineering EducationHillary E. Merzdorf, Texas A&M University College of EngineeringAnna Stepanova, Texas A&M University Dr. Anna Stepanova is a researcher at the Sketch Recognition Lab at Texas A&M University. She holds a Ph.D., Master’s and Bachelor’s in geology. Anna’s research interests are in geosciences, micropaleontology and education.Dr. Saira Anwar, Texas A&M University Saira Anwar is an Assistant Professor at the Department of Multidisciplinary Engineering
are currently researching interactions in makerspaces, efficacy of a teaching software in an engineering design course, and disability in STEM. Elisa is passionate about continuing efforts to increase diversity, equity, and inclusion in STEM.Roxanne Moore, Georgia Institute of Technology Roxanne Moore is currently a Research Engineer at Georgia Tech with appointments in the school of Mechanical Engineering and the Center for Education Integrating Mathematics, Science, and Computing (CEISMC). She is involved with engineering education innoDr. Katherine Fu, University of Wisconsin Dr. Kate Fu is the Jay and Cynthia Ihlenfeld Associate Professor of Mechanical Engineering at the University of Wisconsin-Madison. From
, SDT is a theory that was created to examine whyhumans are consistently motivated to grow and how this is impacted by their personality, makingthe theory well-suited to apply to the context of student motivation to learning. Specifically, SDTposits that an individual’s task performance and well-being change based on the motivation theyhave for that task.Through rigorous empirical testing, three innate and fundamental psychological needs have beenidentified for all human beings. Needs are “the nutriments that are essential for optimal humandevelopment and integrity” [30, p. 337], [31], including competence, autonomy, and relatedness[30] - [32]. Competence is the feeling of acting or performing effectively within an environmentor task [32]. In
to research. Furthermore, fostering an environmentwhere leadership is shared, and all members are motivated to contribute to the institution'sresearch agenda can lead to increased grant submissions, interdisciplinary research projects, andpartnerships with external stakeholders, ultimately driving growth in research activity andfunding (Commodore, Freeman, Gasman, & Carter, 2016).Integrating transformational and distributed leadership practices at HBCUs also has the potentialto strengthen partnerships with industry, government, and non-profit organizations. Thesecollaborations can provide additional resources, expertise, and opportunities for applied research,further boosting the institutions' research capabilities and funding prospects
Paper ID #42829Development of a Climate Survey for Engineering Doctoral Students from anIntersectional Approach: First-Round Validity EvidenceDr. So Yoon Yoon, University of Cincinnati Dr. So Yoon Yoon is an assistant professor in the Department of Engineering and Computing Education in the College of Engineering and Applied Science at the University of Cincinnati, OH, USA. Dr. Yoon received her Ph.D. in Gifted Education, and an M.S.Ed. in Research Methods and Measurement with a specialization in Educational Psychology, both from Purdue University, IN, USA. She also holds an M.S. in Astronomy and Astrophysics and a B.S
Boundaries of Engineering Education.AbstractGenerative artificial intelligence (GAI) has long been used across various fields; however, itsusage in engineering education has been limited. Some areas where GAI tools have beenimplemented in education include intelligent tutoring, assessment, predicting, curriculum design,and personalized student learning. The recent proliferation of CHATGPT and other GAI toolspresents limitless possibilities for transforming engineering pedagogy and assessment. At thesame time, there are challenges associated with implementation. Consequently, there is a need toconduct an empirical study to evaluate these tools' strengths, limitations, and challenges tohighlight potential opportunities for their application in
San Antonio CollegeAbstractAs the realm of cybersecurity grows increasingly critical, imparting the knowledge of computersystem security particularly cryptography to students is paramount. This paper presents an inno-vative approach to this endeavor through the integration of scavenger hunt, uniquely tailored totranscend the boundaries of traditional teaching. Unlike conventional methods which are predom-inantly introduced during high school or incorporate a single intricate puzzle for participants tosolve, this paper emphasizes practical application over theory, improving the way students graspcomplex concepts and retain them. In this work, students collaborated in groups to engage inan “Capture the Flag” style scavenger hunt, conducted
enjoyable learningexperience, ultimately enhancing performance and retention over rote learning. Our research builds upon these insights, presenting conceptual videos as a supplementarytool. Drawing inspiration from the favorable results seen in blended learning models, ourapproach integrates dynamic tutorial videos formulated by students serving as coaches. Thisprovides an extra layer of support, relatability, and engagement while still maintaining traditionalinstructional methodsMaterials and Methods The creation of these instructional materials involved a collaborative effort among fivestudents who had completed the Intro to Programming (CMPSC-121) course. The topics coveredin the conceptual video series aligned with the curriculum
called dataset augmentation. This method introduces variations into the dataset throughthe application of either geometric transformations or kernel filtering operations [11]. Commongeometric transformations encompass resizing, flipping, and stretching images, among others,whereas kernel filtering operations involve actions such as blurring and altering the overall reso-lution of the image. In our specific approach, we opted for kernel filtering over geometric trans-formations to preserve the integrity of the hand landmarks.For the data annotation process, we leveraged MMPose to generate annotations in the specifiedformat. MMPose is an integral component of the renowned MMLab framework, an open-sourcetoolkit built on PyTorch [12]. An
tasks,Montenegro-Rueda et al. [12] explored how ChatGPT was being implemented in educationalcontexts, including the benefits and the challenges of adopting the technology for classroom use.In their assessment of the final corpus of 12 papers, the authors provide a high-level summary ofthe findings, including publication location, methods implemented (i.e., quantitative, qualitative,and "theoretical"), and the premise of the papers (e.g., educational supports, educationalchallenges, teacher training). Moreover, the promise of personalized learning is emphasized –describing ChatGPT as an "easy-to use and accessible tool for teachers and students, allowing forquick integration into the classroom" [12, p. 10]. Similarly, İpek et al. [13] reviewed a
content, maximizing student engagement and improving learning outcomes. Bridging the Gap Between Academia and Industry: AI tools and technologies are becoming increasingly commonplace in engineering. Integrating AI into the curriculum equips students with the necessary skills and knowledge to thrive in this technology-driven environment. This includes understanding AI algorithms, data analysis, machine learning, and automation.While AI offers significant benefits, concerns regarding job displacement due to automationremain. However, studies like the one conducted by MIT suggest that AI is unlikely to replace mostjobs cost-effectively. MIT researchers “found only 23% of workers, measured in dollar wages,could be
dishonestly when submitting various types ofassignments, creating negative consequences for their learning [6]. To avoid ambiguities in thisregard, it is vital that each educational institution and faculty establish clear guidelinesdistinguishing acceptable and unacceptable use of ChatGPT in courses. This information shouldbe included in the curriculum of all courses, not only with the goal of preventing ethical conflictsbut also to reduce students' uncertainty on the matter. These guidelines ensure that thetechnology is used as an educational tool that supports learning rather than circumventing it. It iscrucial to differentiate between scenarios where ChatGPT assistance is allowed and those whereindependent problem-solving without external support
Questions Coclusion Summary Outline for Slides Slides Faculty Reviews & Compares Individual Surveys Focus Group Analysis Results Figure 2. An integrated overview of the application processing workflow with the data collection process.Figure 2 provides an integrated overview of the application processing workflow, how itinteracts with Open AI’s API, and the data collection process of Phase 1 represented in thispaper. The study thus aims to provide comprehensive insights into the practical utility ofTranscriptto in the context of modern online
roles. Their supervisor requested an overview of available LLM-assisted writing tools. The following modules were integrated into the course and preceded by acautionary note regarding proprietary ideas and data and the danger potentially present whenusing cloud-based platforms to process text or data. Modules 1-3 and their correspondingapplications were presented, and then applied to an authentic proposal-writing opportunity.Students broke into groups to accomplish the applied task and returned to the larger group toreport on results, findings, and initial impressions of using these writing tools.Module 1: LLM-assisted Drafting (Safely): Available in free and proprietary versions,WordTune [20] is an LLM-driven drafting tool that can help
andcomprehension among undergraduate students. The game is planned to be implemented in anintroductory Materials Engineering course with over 120 students this fall, with an evaluationstrategy that includes both qualitative and quantitative methods to comprehensively assess itsimpact.The integration of the curriculum into an immersive narrative and interactive gameplay enablesstudents to apply theoretical knowledge in practical, problem-solving scenarios. The tasks withinthe game are aligned with specific learning objectives, ranging from understanding basic crystalstructures to applying advanced techniques like X-ray diffraction analysis. "CrystallineConundrums" successfully demonstrates the potential of using popular TV series elements to makecomplex
consisted of 7questions evaluating the students’ self-efficacy or their belief in their own abilities. Self-efficacyin this context was determined in terms of the ability to act as an engineer and entrepreneur or tosolve problems intelligently and creatively. The second bock of 5 questions determined theunderlying motivation of the student and whether their motivations were related to their owndemographics. For instance, whether a student feels that nationality or gender group is integral totheir motivation to pursue biomedical engineering. The third block of 4 questions focused ondetermining why students selected the BME major: e.g. whether the interest in BME is related tothe economic benefits or a particular enjoyment of BME concepts. The next
. Similarly to classroom intervention,external intervention is offered on a one-time basis. Still, they play an introductory role to facultyand practitioners who were never exposed to the idea of integrating social justice thinking in thedesign process.Table 3Level of Interventions Included in ScLR Level of Intervention Articles Cited Classroom Brinkley, 2020; Brinkley et al., 2021; Claussen et al., 2019; D’Souza, 2017; Forbes et al., 2022; Hoople et al., 2020; Leydens et al., 2018; Motti & Dura, 2023; Murdock et al., 2023; Oleson et al., 2023 Curriculum Reynante, 2022; Rossmann et al., 2020 External Gale, 2022; Kang et al., 2022; Letaw et al
them and their risks is notsomething built into our engineering curriculum, with the exception of students who enroll in ournetwork security elective.There also is a strong ethical aspect of this work. As a consulting company, employees aredirectly connected to clients’ networks, either through remote access, or preferably, clientsupplied devices which are maintained by the client’s IT organization. This environment placesemployees in potentially ethically challenging environments, as it is likely they may identifypotential vulnerabilities inside of a client’s environment that could be exploited by an externalentity. However, the company is not authorized to investigate or fix these issues. Thus, a strongculture of reporting issues that are
) in their monthly logs,through information shared during the FLC meetings, and in the focus groups, in which teachersshared examples of how they successfully integrated engineering design and the NEIR Model intheir instruction. Their examples typically included their perceptions of how the material enhancedstudent engagement, such as: • “This month I did an engineering design challenge in my STEM class. During this challenge, I used the equation provided in the curriculum and had the students work to figure out and debate which variables were most important. This process was very inclusive because it allowed for everyone to express their opinion and how to improve the design.” • “I had my students research water
allow students an introductory understanding prior to lectures andlabs. Students are then asked in class to implement the content through a variety ofcomputational activities. One such activity is the integration of PPs referred to in the classroomas “Weekly Activities”. The activities are designed to support collaboration in the classroom bycentering the Weekly Activities (WA) as a group activity. In doing so, students are asked to workwith one another to solve the puzzles of code to reconstruct the working code in the correct orderand this is done both using the MATLAB and C/C++ to support both sets of computationallanguages. The PPs also appear in the assessments for the classroom with two midtermexamination existing, one for MATLAB and one
minority student development program that specificallytargets students for careers in assistive technology by leveraging institutional commitment toengage underrepresented and underserved minority students in STEM fields. The project usesstudent-centered principles and focuses on the significance of a learning environment byapplying an integrated STEM approach.IntroductionCDC reports that 61 million adults in the United States live with a disability, constituting 26% ofthe population. The number of older people is also surging. This age structure change inpopulation has caused an increasing number of older adults with a disability. Studies consistentlyfind that disability rates rise with age. The 2018 Health and Retirement Study sponsored by
an integrated modeling and testing environment.National Research 1 This is a book on the Panel on Undergraduate Engineering Education performed by the National Research Council. In Chapter 4 TheCouncil (1986) Curriculum, 3+2 curriculum is mentioned as a recent proposal for the engineering curriculum. The report considers 3+2 programs as experimental approaches to the professional model.Payton et al. (2012) 1, 2 Supported by statistical data, the study applies the Involvement, Regimen, Self-Management, and Social Networks (IRSS) theory to an early college program at Clark Atlanta University.Rockward (2002) 1 This document is a
isachieved through building of knowledge and skills. This is accomplished in curriculum as wellas in a formal peer mentoring program which encourages all students who enter the college ofengineering to work with a student who is a junior or senior student with a 3.4 and above gradepoint average with a matching race/ethnicity/gender. The third step is validation of competencethrough performance of activity to showcase their knowledge revealing abilities to themselvesand others. The final stage of identity development is validation of engineering ability throughrecognition which is provided by either an instructor or through dissemination opportunities orawards.Our efforts began with a grassroots program called Diversity and Excellence in
processes and providetraining and resources for CS teachers to improve their education, thus providing students equalaccess to quality CS education 13,14 .The CSTA K-12 CS standards 15 provide a comprehensiveframework essential for integrating AI into K-12 CS education. The standards emphasize not onlytechnical proficiency in CS but also critical thinking and problem-solving skills, preparingstudents to navigate and contribute to an AI-driven future.Most of the existing review articles have primarily focused on the broad spectrum of AIapplications within the realm of education 16,17,18,19 . Some of these reviews have extended theirfocus towards specialized categories of AI applications in education, such as robotics 20 , feedbacksystems 21,22 , and
understanding aspects that help students develop a sense ofbelonging, first-year engineering educators can create experiences that promote a more seamlesstransition and contribute to an overall enhanced university experience.Defining Sense of BelongingWhile there is a general agreement on the importance of a sense of belonging, the specificdefinitions and dimensions can vary across disciplines and contexts [3]. Usually, the firstdefinition of belonging is ascribed to Abraham Maslow [2]. Used by many disciplines, it hasbecome key for educational psychologists as it is related to student success [4], students’perception of thriving or not in their environment [5, 6], and social capital [7]. Allen et al.’snarrative review proposes an integrated framework
includes the science from its scientific theories underpinsthe engineering design process, the technology as a product of science and engineering, andin turn, technological tools are used in science and engineering, the engineering usingscientific and mathematical foundations as well as technological tools, and the mathematicsusing in science, engineering, and technology [23]. For the participants, integrating STEMinto the school curriculum is important because it allows the disciplines of science,technology, engineering, and mathematics to be addressed in an interdisciplinary and holisticmanner. This promotes the development of soft skills such as critical thinking, problem-solving, communication, collaboration, creativity, and research, among