Paper ID #42056Examining the Opportunities and Challenges of Using Artificial Intelligencefor Engineering Technical Writing CoursesDr. Susan J Ely, University of Southern Indiana Dr. Ely began her academic career at the community college level, after having worked as an engineer in areas of manufacturing, distribution, logistics and supply chain. She is the Director of Technology Programs and Assistant Professor in Manufacturing at the University of Southern Indiana. Research includes student retention and engagement, mentoring and support of women in engineering and lean applications in non-manufacturing environments.Dr
, Attitudes, and Perceptions of Oral Engineering ExamsIntroductionWhile it is commonly known that verbal communication and presentation skills are highlydesirable by employers, many engineering students’ technical learning is assessed primarilythrough written examination means. In the department of Integrated Engineering (IE) atMinnesota State University, Mankato, verbal exams are a fundamental formative and summativeassessment method of checking students’ understanding [1]. While the goals for verbalexamination are common throughout the program, this paper aims to compile the individualphilosophies, approaches, attitudes, and perceptions of faculty within the department who giveverbal examinations on a regular basis
become a Centerfor the Integration for Research Teaching and Learning (CIRTL) member in 2016. The programis housed in graduate school and is a part of the future faculty development program. To supportthe movement towards creating better teaching faculty and its goals to improve STEMundergraduate education, proposed and was approved to develop a certification to theundergraduate population. Distinguishing itself from the graduate level, it was named CIRTLundergraduate associate certificate. To earn this certification the students must complete thefollowing seminar classes: ● Engineering 396 (ENES 396): Fundamentals of Teaching Fellow Scholarship ● Engineering 397 (ENES 397): Advanced Topics of Teaching Fellow ScholarshipBoth seminar classes
teaching methods.72 This introductory engineering course is a foundational element of our spiral curriculum,73 strategically positioned to build upon students' prior knowledge in Excel modeling, Methods of74 Engineering Analysis, Mathematics (including Calculus I & II and Differential Equations), Physics75 I, and General Chemistry I. Its primary goal is to familiarize students with modeling techniques76 based on system accounting principles and equations, thereby preparing them for advanced77 disciplinary-specific courses. The course specifically focuses on the system accounting principles78 and equations related to four key quantities: mass, charge, energy, and momentum. In addition to79 introducing these fundamental concepts
person is evaluating the deliverables in technical understanding (though thereare exceptions for unique assessments like fundamental principle exams), so there can be roomfor bias in the instructor’s evaluation. Some of the ways instructors may combat this is by havingstudents evaluate themselves or one another in addition to the instructor’s evaluation, allowre-doing of work (which could also align with growth mindset), giving plenty of thoroughqualitative feedback, both spoken and written, and having a lot of low-stakes deliverables versusjust a few to combat one bad or biased grade. Many instructors also choose to use rubrics here toallow for constant and structured reminder guides in grading.Grading for Growth MindsetCompared to the
similar award named for Dr. Thompson. His awards include the US Presidential Award for Excellence in Mentoring; Tau Beta Pi Eminent En- gineer; James E. Blackwell Scholar; AT&T Bell Laboratories Cooperative Research Fellowship. He is ¨ os Who among African Americans, Education, and Technology Today; American Men and cited in WhoAˆ Women of Science, West Babylon Alumni Hall of Fame; He is a Fellow of the Acoustical Society of America and cited for his fundamental contributions to theoretical and computational acoustics. He is senior member of IEEE, and a member of the American Physical Society and Sigma Xi. He has published reesearch in acoustics, control theory, fluid mechanics, heat transfer
, networkingevents, and overall social interactions with colleagues in a technical atmosphere. Revitalizingthese efforts and advancing their development is crucial for student professional development,which has shown to be a significant contributor to successful entry into the workforce [12]-[15].We tried to overcome these limitations and leverage the advantages of online interactionsthrough the following events.Strategy for Success Seminars - These events were focused on expanding students’perspectives of resources and skills associated with the engineering fields. The ESC engaged inthree events: an Engineering Resources Fair, Students Orgs 101, and Technical Writing Seminar.These seminars presented the importance of connecting with University
Competition, both of which were received at the 2017 ASEE Zone II Conference in San Juan, Puerto Rico.Daniel Augusto KesteringDr. Lizzie Santiago, West Virginia University Lizzie Y. Santiago, Ph.D., is the Director of the Fundamentals of Engineering Program in the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University. She holds a Ph.D. in Chemical Engineering and completed postdoctoral training in Neural Tissue Engineering and Molecular Neurosciences. She teaches freshman engineering courses and supports the outreach and recruiting activ- ities of the college. Her research interests include neural tissue engineering, stem cell research, attrition and university retention, increasing
University of New York, Maritime College Martin Lawless is currently an Assistant Professor of Mechanical Engineering at SUNY Maritime Col- lege. He earned his Ph.D. in Acoustics in 2018 from the Pennsylvania State University where he investi- gated the brain/s auditory and reward responses to room acoustics. Martin’s current research involves the perception of sound in virtual environments, low-cost measurement devices, and engineering education. ©American Society for Engineering Education, 2023A generative learning approach to teaching engineering calculations in an introductory courseAbstractIn many introductory engineering courses, the fundamentals of documenting engineeringcalculations serve
the program names contribute to some of these challenges,leading to questions about whether rebranding to a different name might be beneficial. Otherstudies have explored renaming motivations and results in geography [13], agronomy [14],writing programs [15], vocational education [16], and institutions [17], [18]. There is a generalconsensus that names are powerful, and changes often reveal tensions with the health and/oridentity of programs. Frazier et al. [13, p. 13] notes: “Do name changes reflect an expandedmission… or other goals such as addressing low enrollment, shifting student interests, or thedesire to project a fresh identity or realign with a new academic emphasis?” There may also beconcern about name recognition or conveying the
example, rather than producing a formalreport in which they analyze and interpret a dataset related to displacement patterns, studentsmight instead record a podcast which explores displacement patterns, assesses the types ofexisting data and explores how the availability of data and their representations determine theattention and resources allocated to a given community. Allowing students the opportunity toreflect on their learning through assigned reflection prompts or writing assignments is also usefulin courses like this and can also reveal student growth and mindset shifts over the duration of thecourse. Allowing students to develop a diversity of skills, including communication and writingskills, will allow them to become more well-rounded
coreundergraduate class each engineering student takes before graduation. This approach introduces thesecritical topics to all graduating engineers, broadening the impacts across the overall engineering field.Hence, we implemented project-based learning (PBL) based on the framework proposed by Engineeringfor One Planet (EOP) for several undergraduate classes and one graduate class at the University of Texasat Tyler. EOP, started by the Lemelson Foundation and VentureWell, is an initiative to transform engineeringeducation to reflect the importance of sustainability in engineering education[5]. The goal of EOP is toensure all future engineers across various disciplines learn the fundamental principles of social andenvironmental sustainability. Thus
only as useful as it can be communicated with colleagues andstakeholders while navigating the ambiguity of scoping and addressing open-ended problems. Infact, a recent study of employers conducted by the AAC&U found that the ability to workeffectively in teams, to apply knowledge and skills in real-world settings, ethical judgment andreasoning, and the ability to communicate through writing - all skills developed through PBL -are among the top ten skills in demand by employers [9].These benefits of PBL are often structured through scaffolded teamwork [24] with authenticchallenges set by community-based or industry sponsors [25]. While there is a wealth ofdescriptive studies that illustrate instances of these projects to describe why and
Paper ID #44396Impact of Satellite Campuses on Undergraduate Student Experience in Comparisonto Big University CampusesDr. Surupa Shaw, Texas A&M University Dr. Surupa Shaw has been associated with Texas A&M University since 2015, most recently as the Assistant Professor at the Texas A&M University, Higher Education Center. Prior to this, she was a faculty member at Ocean Engineering Department, TAMU.Dr. Kristi J. Shryock, Texas A&M University Dr. Kristi J. Shryock is the Frank and Jean Raymond Foundation Inc. Endowed Associate Professor in Multidisciplinary Engineering and Affiliated Faculty in Aerospace
fundamentally influ-ence higher education. These trends could include advancements in digital learning platforms,the rise of AI in personalized learning, the growing importance of data privacy and cyberse-curity in education, and the increasing demand for interdisciplinary and experiential learningexperiences. The growing demand for interdisciplinary and experiential learning experiencesreflects the changing needs of the job market but also requires a shift in traditional teachingmethodologies. Understanding and responding to these trends is crucial for educators and in-stitutions to stay relevant and effective in delivering quality education in the 21st century. Challenges Technology Trends Responding
traditional lecture style that is used in most engineering courses has several difficulties thataffect the processes of teaching and learning. Although many students can be efficiently taught asignificant amount of knowledge using this method, its one-way nature encourages passive andsuperficial learning and does not stimulate students' motivation, confidence, or excitement. As aresult, graduates of traditional lecture models frequently lack the fundamental abilities neededfor success in the workplace [1], [2]. The goal of engineering education research is to pinpointthe information and abilities that aspiring engineers must gain both in the classroom and in theircareer.Students' learning and engagement in a classroom environment may be enhanced by
and is considered a fundamental sub-ject in an undergraduate and postgraduate robotics curriculum. Furthermore, project-based learninghas shown significant benefits in engineering domains, specifically in interdisciplinary fields such asrobotics which require hands-on experience to master the discipline adequately. However, designinga project-based learning experience to teach control theory in a hands-on setting can be challenging,due to the rigor of mathematical concepts involved in the subject. Moreover, access to reliable hard-ware required for a robotics control lab, including the robots, sensors, interfaces, and measurementinstruments, may not be feasible in developing countries and even many academic institutions in theUS. The current
assistance besides disability resources or academic dishonesty. If an instructor provides information for technical support for classroom software such as clickers or the learning management system, this would not be coded here. If resources are offered regarding mental health, this is coded under “Mental health resources.” Assistance to all students; strategies for success in the course; sources available for assistance made available to all students (writing lab, tutoring). May include reference to hand-outs, extra problems, etc. that students can access in learning management system or on the web. Not
project where themechanical engineering technology student designed and fabricated the parts while the computerengineering technology students performed the rest of the work. The prototype was testedsuccessfully and showed satisfactory results. Figure 4 shows the design and prototype of the dragfinisher. Figure 3: Design and prototype of the drag finisher developed in Project 3.Student presentation for evaluationStudents are evaluated on their individual and teamwork in both capstone courses. In the fallcourse, students are assessed individually on assignments such as ethics, resume writing, andmock interview. A significant portion of the individual assessment is student performance. Itreflects how each student participates in the team
within theengineering school or have permission of the instructor. It should be noted that the instructor is aco-PI on the grant team and has an extensive background in data science. Students wereintroduced to fundamental concepts in data science. It focused on three major themes: Datacharacteristics, data science pipeline, and data-driven applications. Some of the topics discussedin the course include data diversity, data products, data collection methods, data cleaning, andformatting, storing and sharing data, privacy, and confidentiality of data, data security, small dataanalysis, statistical analysis using R studio, presentation of analytics, and data applications forthe society. Data for the projects were obtained from data.gov, Pew
advanced classes?Background Over the past two decades, there has been a growing body of research dedicated to examining thelandscape of UREs. These studies highlight a broad spectrum, exploring not only the nature of theseexperiences but also the multiple benefits they grant to their participants [1], [2], [3], [4], [6], [9]. Thefocal points of these studies span from explaining the different UREs to understanding their impact ondiverse aspects of student learning and future goals. Exploring the outcomes, researchers have found thatUREs facilitate students’ development of fundamental research skills (e.g., data analysis,problem-solving, and critical thinking) [6], [10] [6], [10], [11]. One notable aspect of UREs is that the