Displaying all 13 results
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- 2025 ASEE Southeast Conference
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- Gustavo J. Molina, Georgia Southern University
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Paper ID #45480On teaching technical writing in an introduction to engineering design classDr. Gustavo J. Molina, Georgia Southern University Dr. Gustavo J. Molina graduated with a BS in Mechanical and Electrical Engineering from National University of Cordoba, Argentina, a Master’s degree in Mechanical Engineering from the University of Ottawa, Canada, and a PhD in Mechanical Engineering degree from Virginia Tech, USA, for his work on triboemission of particles. Since 2000 he has been in the Dept. of Mechanical Eng. of Georgia Southern University, where he is a Professor. Dr. Molina’s present research interests are on the
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- 2025 ASEE Southeast Conference
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- Shenghua Wu, University of South Alabama; Min-Wook Kang, University of South Alabama; John Cleary, University of South Alabama; Lisa LaCross, University of South Alabama
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fundamental concepts forcomposing each section in the structure. A significant barrier for students is the challenge ofconducting thorough literature reviews and effectively integrating this information into their ownwriting [5].In general, research graduate students have mentors to guide their work; however, their mentorsmay not always be able to model effective writing practices or provide tailored writing guidanceto their mentees, whose writing styles and needs might differ significantly from their own. Manyadvisors have noted the additional time commitment and challenges involved in working withadvisees who are non-native English speakers and writers [6].Various strategies have been identified to enhance graduate students’ technical writing
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- 2025 ASEE Southeast Conference
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- Bryn Elizabeth Seabrook, University of Virginia
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correct or capable of human-like decision making. In the context of higher education, students may elect to make theirassignments sound better, but it is unlikely that AI-generated work will perform well, especiallyon written assignments, because of this cognitive disconnect between creativity and constraint.Underscoring Concerns of AI Applications in Higher EducationA recent article in the Chronicle of Higher Education highlights faculty concerns about theauthenticity of student work. What should be concerning to educators are the motivating factorsthat create a student culture where they feel they have no option to succeed without using“perfect” work. As Beth McMurtrie writes, “Some institutions, including Middlebury College, inVermont, and
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- 2025 ASEE Southeast Conference
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- Phyllis Beck, Mississippi State University; Alexis P. Nordin, Mississippi State University
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Electrical and Computer Engineering. She has worked for companies such the Air Force Research Laboratory in conjunction with Oak Ridge National Labs and as an R & D Intern for Sandia National Labs conducting Natural Language Processing and AI research and was inducted into the Bagley College of Engineering Hall of Fame in 2021.Alexis P. Nordin, Mississippi State University Alexis Nordin is currently an Instructor II in the Shackouls Technical Communication Program in Mississippi State University’s James Worth Bagley College of Engineering. She has taught technical writing and various other writing- and communication-based courses at MSU since 2004. She holds bachelor’s and master’s degrees in English from Mississippi
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- 2025 ASEE Southeast Conference
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- James Righter, The Citadel; Nathan John Washuta P.E., The Citadel; Deirdre D Ragan, Pennsylvania State University
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. -Technical requirements must be specified in measurable terms. -Provide the associated units. -For truly subjective requirements (appearance for example) designate a customer test (possibly a 1 to 10 customer rating). In this case, write CT (customer test) in the block (3) Customer importance: -Copy original importance weights unless they have been updated (additional survey results). (4) CR to TR correlation matrix: -Review correlations -CR-TR matrix is usually 60% - 70 % blank as a general idea (every cell does not need to have a correlation. (5) Update the
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- 2025 ASEE Southeast Conference
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- Chaohui Ren, Auburn University; Cheryl Seals, Auburn University; Nilanjana Raychawdhary, Auburn University
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an example to demonstrate how to use toy blocks to visualize the differencebetween a row array and a column array and how to create these two types of homogeneous arrays,where the elements are of the same data type. We will describe in a step-by-step process to illustratehow we teach and how students learn arrays. • Step 1: Introduce the definition of arrays, giving students a general idea of what an array is. Then, provide an example using code, allowing students to observe, while inviting them to write the code themselves as the instructor demonstrates. This forms observational learning, helping students to get a general sense of how a row array and a column array look. • Step 2: Demonstrate the two key elements in
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- 2025 ASEE Southeast Conference
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- Anna K. T. Howard, North Carolina State University at Raleigh; Sally J. Pardue, Tennessee Technological University
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defining what counts as fundamental knowledge. Acolleague once referred to our undergraduate education as “the grind” which students had to getthrough in order to be able to function as an engineer. Is the grind necessary in the era of easilyaccessible information? Who are we weeding out by requiring internalization of facts?Consider calculus 1 and 2 which are required for just about every engineering student. Finding acentroid is part of every good integration lesson, yet students get to basic courses without the firstidea of how to do that calculation or how centroids relate to balance points or centers of gravity.Should those basic math courses actually be required? Consider the freedom that a program wouldhave if the 6-8 credit hour courses
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- 2025 ASEE Southeast Conference
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- Maya Al Shanti, Embry-Riddle Aeronautical University - Daytona Beach; Thiha Myat Thu, Embry-Riddle Aeronautical University - Daytona Beach; Kai Jun Chew, Embry-Riddle Aeronautical University - Daytona Beach
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Paper ID #45577Exploring Engineering Students’ Perspectives of Instructors’ Test Beliefs andBehaviors: A Secondary Data Analysis by Current Undergraduate EngineeringStudentsMaya Al Shanti, Embry-Riddle Aeronautical University - Daytona BeachThiha Myat Thu, Embry-Riddle Aeronautical University - Daytona BeachDr. Kai Jun Chew, Embry-Riddle Aeronautical University - Daytona Beach Kai Jun ”KJ” Chew is an assistant professor in the Engineering Fundamentals department at Embry-Riddle Aeronautical University. He is passionate about teaching and research, and he strives to produce knowledge that informs better teaching. His research
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- 2025 ASEE Southeast Conference
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- Kari J Lippert, University of South Alabama; Sean Walker, University of South Alabama; Roy Daniel McLeod, University of South Alabama; Sudhanshu Tarale, University of South Alabama; Christine Goldman Robinson, University of South Alabama; Matthew Christopher Monday, University of South Alabama; David Seger, University of South Alabama
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, electronics, visualization, and systems engineering. As such, it must beembedded in the education of professionals in these fields, especially systems engineering.Systems engineers envision, design, and oversee the implementation, operation, maintenance,and retirement of systems and will be called on to specify and incorporate DT technology inmany ways, yet there is no training focused on DT. This gap motivated the development of thecourse Fundamentals of Digital Twins. The goal of this course is to inform systems engineeringstudents about some of the considerations they will need to make in the design andimplementation of DT for systems.This work describes the experience in teaching a pilot offering of the graduate courseFundamental of Digital Twins
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- 2025 ASEE Southeast Conference
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- Ayush Vasu Gowda, Florida Atlantic University; Daniel Raviv, Florida Atlantic University; Juan David Yepes, Florida Atlantic University
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about the fundamental principles of visual looming. It involves comprehending and quantifying how objects appear to grow larger as they approach closer, and how to utilize this phenomenon. Proficiency in Technical Tools - The student will learn how to utilize industry-standard technologies and tools to assist them during project development. - Programming with Python - Employing libraries like OpenCV and NumPy - Utilizing Git and GitHub - Operating Linux Communication and Information Dissemination - Given the student will initially be inexperienced with the project, and in a new environment with new mentors, this element is vital. For
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- 2025 ASEE Southeast Conference
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- Rebekah L Martin, Virginia Military Institute; Kacie Caple D'Alessandro, Virginia Military Institute; Charles D Newhouse P.E., Virginia Military Institute; Tanjina Afrin, Virginia Military Institute
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, cost engineering, and leadership. The major focus of the course will be providing practical civil engineering design experience. Projects will address appropriate constraints and engineering standards" First Course: "This course is the first course in a two-course sequence in the Civil Engineering Program. Students will be working on civil engineering projects, integrate their acquired George fundamental engineering knowledge and incorporate input from practitioner engineers from Mason industry."University Second Course: “Students form multidisciplinary design teams, select real-world civil [11
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- 2025 ASEE Southeast Conference
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- Nilanjana Raychawdhary, Auburn University; Chaohui Ren, Auburn University; Cheryl Seals, Auburn University; Sutanu Bhattacharya
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, hands-on tools. This approach aims to provide students with foundational knowledge in NLPwhile allowing them to apply this understanding through practical experiences[5].3.2.2 Implementation:Jupyter Notebooks : Each course module is structured around Jupyter notebooks, which serve as interactivecoding platforms for implementing NLP concepts in real time. Notebooks enable students to write, execute,and visualize code, creating a dynamic environment that bridges theory with practice[10]. By experimentingwith real-time coding, students can observe the outcomes of their implementations, enhancing engagementand solidifying their comprehension.Python Libraries (e.g., NLTK, SpaCy): The framework, illustrated in Figure 1, uses Python libraries suchas
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- 2025 ASEE Southeast Conference
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- Sierra Milligan, University of Georgia; John Ray Morelock, University of Georgia
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Paper ID #45770WIP: Evaluating the impacts of an integrated, project-based approach tobiomedical engineering laboratory teachingSierra Milligan, University of GeorgiaDr. John Ray Morelock, University of Georgia Dr. Morelock is an Assistant Professor of Practice with an emphasis on engineering education research, and the Associate Director of Educational Innovation and Impact for UGA’s Engineering Education Transformations Institute (EETI). In addition to coordinating EETI’s faculty development programming, Dr. Morelock conducts research on institutional change via faculty development, with an emphasis on innovative ways