Paper ID #45878Creating Public Resources to Diversifying Content in Mechanical Engineering:Fostering Awareness and Ethical ConsiderationsDr. Siu Ling Leung, Pennsylvania State University Dr. Siu Ling Leung is an Associate Teaching Professor, the Associate Head for Undergraduate Programs, and the Director of Undergraduate Laboratories in the Mechanical Engineering Department at Pennsylvania State University. Her work focuses on renovating the engineering curriculum to enhance students’ cognitive skills, raise awareness of diverse problems around the world, and equip them to address real-world challenges. She employs
tools in thesenior capstone design project considering those hypotheses. The survey, located in Appendix A,asks the students to describe how their team collaborated during the previous week, rate theircontentment with their work role on a scale of 0-10, and rate their team member’s level ofengagement and work ethic in the previous week on a scale of 0-10. H-1 will be evaluated usingthe results of this survey. H-2 and H-3 will be evaluated using a combination of the surveyresults and final prototype testing and presentation results.4. Case Study – Design of Aeronautical Fixture for Undergraduate Education LaboratoryThe Senior Capstone Design course is traditionally a semester-long, sponsored design project forsenior mechanical engineering
student learning outcomes and proficiencies, rather than specific coursecontent.To begin the curriculum redesign process, a retreat was held in December of 2019 to gather inputfrom faculty and staff of the department, with a focus on the question, “What do we want ourstudents to be able to do, know, and care about after successfully completing the ME program?”The output of this retreat was six guiding “areas” that would guide a department committee in(eventually) redesigning the curriculum: Problem Solving; Communication; Professional Identityand Ethics; Teamwork, Leadership, and Inclusivity; Information Literacy, Judgement, andCritical Thinking; Character Traits and Self-Directed Learning.As all readers will know, the Covid-19 pandemic caused
of AI among university students on learning outcomes and processes 2. Evaluate how AI-driven teaching tools can be purposed for personalized and inclusive educationFigure 2: Example fill-in-the-blank quiz created by ChatGPT to help students practice their under-standing of thermodynamic concepts. Created in ChatGPT-4 using the following prompt: Generate20 fill in the blank questions to help me study for a thermodynamics quiz covering basic thermo-dynamics vocabulary and units. 3. Explore the ethical dimensions and practical challenges of AI use 4. Understand how the integration of AI into classroom settings alters student-teacher and student-student dynamics 5. Explore and compare the perceptions of instructors and
. Semester Course Enrollment Fall 2023 ME Program Seminar 116 Spring 2024 Dynamics 55 Fall 2024 ME Program Seminar 117Codebook: The revised codebook based on the open-ended question responses collected in Fall2023 consists of 10 distinct codes that describe students’ perceptions of engineering practice: 1. Considers ethics 2. Considers safety 3. Considers efficiency 4. Considers complexity 5. Utilizes knowledge 6. Collaborates with others 7. Improves or makes new designs 8
responses after uploading a PDFwith the 2023 course outline in a prompt to update the current course offering. Entering theprompt “new topic,” can also refresh responses in Copilot.Generative AI is providing powerful opportunities for instructors and will challenge the waysteaching and learning are approached. The potential benefits are seemingly limitless, but it isimportant to consider the ethical and societal implications as outlined in numerous publications.Generative AI tools cannot be trusted blindly and generated content should be verified andchecked for accuracy and bias. The instructor found it helpful to require the AI tool to providesources when evaluating the accuracy of some claims generated in response to a prompt. Facinga new
reality (XR) technologies in engineering education, particularly inengineering design courses, has gained traction recently. The XR prototype demonstration wasintegrated into a junior undergraduate Mechanical Engineering design course.ME386W is a junior design course that explores engineering design methods, including projectplanning and management, effective multi-disciplinary team skills, professional and effectivetechnical writing, oral communication skills, professional ethics, and extended. This course is thelast design course before the full-year capstone graduation project and does not involve making aphysical prototype. The educational content, assessment plan, and rubric for integrating the XRdemonstration are provided. Students
years, she has developed a keen interest in advancing innovation in engineering education. At present, she actively explores various methods to enhance student engagement and optimize their learning experiences through curriculum and course design. Her primary teaching objective is to foster a lifelong learning mindset in her students by promoting critical thinking and problem-based learning. Dr. AbdelGawad’s teaching philosophy integrates real-life ethical dilemmas to encourage students to think deeply, challenge their opinions, and integrate ethics into their coursework to help shape them into successful, professional and socially responsible engineers. ©American Society for
some freshmen attended each event NSPE Guest Speakers for E-Week School-level event (lunch included) • Goal: at least one guest speaker event per semester that promotes ASHRAE Guest Speaker on Ethics & Statutes, Local professional organization event licensure PDH earned for PE’s hosted on campus by ME Program Welcome/Orientation meeting for new ME ME Program • Continuous offering students – discussion of FE graduation requirement and professional licensure
byintelligent prompting and integrations like Wolfram Alpha [5]. Undergraduate perspectives onLLM-based tools were explored, revealing diverse perceptions regarding their benefits andchallenges. These findings contribute to discussions on balancing AI assistance with ethicalconsiderations and human engagement [6]. Additional insights into the evolving role of generative AI tools, such as ChatGPT, ineducation, draw parallels between the adoption of generative AI and historical technologicaldisruptions, emphasizing the need for responsible integration to address ethical and pedagogicalchallenges [7]. Complementing this discussion, another study outlined trends in engineeringeducation research, providing context for the integration of digital
team design projects with team sizes between 3 and 5 students. Bothcourses included individual and group assignments, which were scored as “Pass” or “No Pass”,based on whether all the specified requirements were met. The instructor provided feedback formost assignments. Students were able to revise and resubmit most types of assignments if a “NoPass” score was earned.In the second-year course, the major assignments in the course were project deliverables and anengineering ethics case study assignment. There were two types of smaller assignments that weregraded on completion: guided practice assignments, meant to prepare students in a flippedclassroom for the group activities [17], [18], and individual homework assignments. The coursesyllabus
Higher Education,vol. 45, no. 3, pp. 342–360, 2021.[2] A. Yoshimura and C. W. Borst, "A study of class meetings in VR: Student experiences ofattending lectures and of giving a project presentation," Frontiers in Virtual Reality, vol. 2, p.648619, 2021.[3] E. Southgate et al., "Embedding immersive virtual reality in classrooms: Ethical,organizational and educational lessons in bridging research and practice," International Journalof Child-Computer Interaction, vol. 19, pp. 19–29, 2019.[4] T. E. Goldsmith and P. J. Johnson, "A structural assessment of classroom learning," inPathfinder Associative Networks: Studies in Knowledge Organization, R. W. Schvaneveldt, Ed.Norwood, NJ: Ablex, 1990.[5] R. D. Reason, P. T. Terenzini, and R. J. Domingo
, Calculations, Conclusion, and Raw Data. There are two quizzes inthe semester which are based on the covered laboratory experiments and a comprehensive finalexam which consist of questions related to the theory, measurements, and calculations of eachexperiment. Final course grade is traditionally calculated based on the laboratory reports (65%),two quizzes (15%), and a final exam (20%).CURE-E Implementation: The integration of the CURE-E project into Materials Science andEngineering Laboratory aims to offer students genuine research experience, enhance theirresearch skills, foster scientific thinking and approach, promote research ethics, and provideadditional opportunities to support their career aspirations. In addition to the materials
work together. It is unclear if these students, the majority of whom areGeneration Z, tend to think of themselves as self-reliant or if the COVID-19 pandemiclockdowns have made lasting effects of isolationism in their work ethics. Another possibleexplanation comes from students lacking confidence in the advice or feedback from peers, as onecomment stated (Q18).3.3 Perceived Design and CAD Skills and Students’ Benefits After Design ReviewMore than half of the students agreed with the statement that they had strong CAD and designskills coming into the course, much higher than anticipated when examining the Part II surveyresponses. The question then becomes about who benefits from design review and how. Basedon the students’ perceived design
provide students with a chance toreflect on the design of the system, rather than just providing an analysis of the dataset, and toencourage students to recall and incorporate other thermodynamic concepts.DiscussionThe project described in the paper was administered during the Fall 2023 semester. The lastdeliverable, in which the students had to provide recommendations to improve the system asdescribed above, was also used as the performance indicator to collect assessment data for ABETStudent Outcome 4: “An ability to recognize ethical and professional responsibilities inengineering situation and make informed judgments, which must consider the impact ofengineering solutions in global, economic, environmental, and social contexts” [3
, personalinvolvement, interdisciplinary work, anticipatory thinking, justice, responsibility & ethics, andstrategic action [10], critical thinking & analysis, communication & use of media, assessment& evaluation, tolerance for ambiguity & uncertainty [11]; and interpersonal relations &collaboration [12]. A summary of survey development and its validation are discussed in thenext section. 3 III. METHODSA. Survey development A comprehensive and systematic approach has been used to develop the surveys thataccurately reflect the research goals of this project. Although a detailed description andapproaches used for survey development and its validity