Java scripts. These simple technological utilities are applied to develop agreatly multimedia tools to help engineering students taking the course of EngineeringMechanics at Morgan State University.III. Analysis and Discussion of ResultsThe results from traditionally teaching Engineering Mechanics are compared to those from thetraditional teaching combined with the Internet teaching. Such comparison is based on the sameconditions, namely, using the same textbook and materials, the same number of assignments(e.g., ten homework and quizzes given weekly) as well as the same tests and exams materials(e.g., the same problems for two comprehensive tests plus the mid-term and final exams). Thegrades from the courses taught in 1997 and in 1998 are
”. Page 3.105.1COURSE MOTIVATIONMost industries that employ MET graduates develop, manufacture, or use products thatexperience dynamic loading (e.g. automobiles, aircraft, pumps, engines, hydraulics, etc). Whenmechanical failures occur they often can be attributed to fatigue since rarely are mechanicalcomponents just statically loaded. The principles associated with mechanical fatigue are not thatcomplicated and are appropriate for mechanical technologists.The fracture mechanics approach to analysis and design is foreign to most engineeringtechnologists. For many industries, however, fracture mechanics is an integral part of theirmechanical analysis. As an example, both the commercial and military aircraft industries, areflying many aircraft
setting equitable learning opportunities forcan rely on various forms of communication, students of all kinds.such as facial expressions and tone of voice,which helps guide facilitation of student Why OBS Studio?learning. However, establishing a strongteaching presence for blended and remote Teaching remotely since spring of 2020, I,learning environments differs markedly and several other faculty members in thefrom doing so in a face-to-face classroom. ECE department were concerned about lack of student engagement and participationduring an online class. Students were not difference sources, which builds a live videopaying attention and/or
for the race car.2 MethodIn this work, we utilize the Car Racing Environment (CRE) in OpenAI Gym12 as the platformto develop a RLHE solution. OpenAI Gym, originally designed for reinforcement learning, iscurrently maintained by the Farama Foundation under the name “Gymnasium”. CRE employsthe Box2D physics engine, and the racing car’s objective is to complete laps while achieving thehighest possible score.To better support our research objectives, we modified the original OpenAI CRE environment toenhance visibility and focus on the race car’s trajectory. Fig. 1(a) presents a snapshot of the originalCRE environment. In our modified version, shown in Fig. 1(b), a thick trail highlights the car’spath, the camera is zoomed out to show more of
Science etc) the nature of the courses becomes more‘demonstrative’. Culmination of the sequences is the two semester Capstone coursewhere students undertake their own unique projects, creating specifications, generatingalternatives and developing chosen solutions. Foley (2007) discusses the design processused at the Academy in more detail. This paper however discusses a particular methodology of ‘rapid fire’ theory tohardware realization in a unique sophomore design course. The outcomes were ambitiousand initially a little open ended, but once correctly indentified were seen to have beenachieved. DESIGN PROGRESSION Sophomore Junior Introduction to Mechanical
of frequency response.Furthermore, students can produce the same plots on their own computers, or in a school'scomputer labs, if they have the pzgui toolbox and access to Matlab® and the Matlab® ControlsToolbox. Provided with a simple "script", students can even re-create an entire interactivedemonstration. Perhaps equally important, pzgui provides a "playground" in which studentsare able to do much more than brief classroom demonstrations can show.The pzgui toolbox comprises a set of m-files that are available at people.rit.edu/maheeein a zip- file. This toolbox is free to faculty and students (provided that it's used only foreducational purposes), and it runs on Matlab® ver.6.5.0, and all later versions. The zip- file alsoincludes a brief
Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) Investigating the Performance of Apodized Fiber Bragg Gratings for Sensing Applications I. Ashry1,4, A. Elrashidi2,4, A. Mahros3,4, M. Alhaddad, and K. Elleithy and reduce the overall size. Abstract—Fiber Bragg gratings (FBGs) technology has With the significant discovery of photosensitivity in opticaldemonstrated its suitability for many applications in recent fiber fibers, a new class of infiber component has been developed,technologies. Sensing application is one of
damage. Machine learning offers aproblems were resolved by enriching the dataset using data promising solution by improving wildfire detection accuracy,augmentation techniques and optimizing the VGG16 model for speed, and scalability.binary classification. The model produced a low false negativerate, which is essential for reducing unexplored fires, despite Recent artificial intelligence developments especially deepdataset boundaries. To help authorities execute fast responses, this learning offer hopeful answers to these problems. Highlywork shows that deep learning models such as VGG16 can offer a appropriate for wildfire detection, convolutional neuralreliable, automated approach for early wildfire
Innovation in Teaching with Technology, which I received in 2020 at Boston University. I received the International Wildcat Outstanding Faculty of 2022-23 at California State University, Chico for my teaching.Prof. Jaime Raigoza, California State University, Chico ©American Society for Engineering Education, 2025 An Experience Report on Teaching Quantum Key Distribution to Incoming College FreshmenAbstractQuantum information science and engineering (QISE) is rapidly emerging as a critical field,requiring scientists and engineers with specialized knowledge in quantum technologies. To helpaddress this need, we organized a three-week summer workshop for incoming college freshmen
Paper ID #48099Students’ Experiences of Learning Technical Writing in Computer ScienceCourses: Perspectives on AssessmentDr. Meghan Allen, University of British Columbia Meghan Allen is an Associate Professor of Teaching in Computer Science at the University of British Columbia, where she has been teaching since 2007. She holds a PhD in Curriculum and Pedagogy and is interested in designing curriculum, understanding student experience, and mentoring future teaching-focused computer science faculty members. ©American Society for Engineering Education, 2025 Students’ Experiences of
Paper ID #47394BOARD # 237: Exploring the Impact of Community Engagement on Undergraduatesvia Math Circles for K–12 Students: An NSF-IUSE ProjectDr. Emily L Atieh, Stevens Institute of Technology Emily Atieh is the Associate Director for Educational Research in the Stevens Teaching and Learning Center. In this role, she provides support for faculty at all stages of their educational research projects, including experimental design, data collection and analysis, and dissemination. Previously, she earned her PhD in chemistry and completed a postdoc in STEM education research.Jan Cannizzo, Stevens Institute of Technology
and how classroom and institutionaldesign can mitigate the effects.1 IntroductionThere is a growing call to diversify the pipeline of engineering students to meet the need oftechnological development and to advance equity in Science, Technology, Engineering, andMath (STEM). To achieve this goal, academic institutions are looking introspectively tounderstand how their campus environments are designed to foster student success and equity.This work seeks to identify gaps in engineering student success through a ten-year study ofacademic performance correlated to student identity and course attributes.The work of Tinto [1], [2] has been built upon to show that a students’ sense of belonging isrelated to their propensity to persist in higher
growing as online learning proliferates [9]. During COVID-19 we saw a surge inthe use of remote proctoring as restrictions were in place that prevented in-person testing [10],[11]. This surge in users, both on the student and faculty end, has highlighted concerns about theapplication of remote proctoring. One of these concerns is the effect of remote proctoring onstudents [10], [12]. There is work that indicates this form of assessment increases negativeemotions experienced by students such as testing anxiety [10], [12] which may impact students’performance. As such, our goal is to increase the trustworthiness of remote exams while alsocreating a more comfortable testing environment for students.Remote proctoring services discourage cheating
spans from2005 to 2020. The reviewed literature fell into two main categories: Departmental Level andClassroom Interventions. Departmental papers all took an experience report approach, describingthe details of creating and the initial results of their interventions. The classroom interventionpapers all sought to explore and understand their proposed intervention’s impact and/orusefulness. Guided by the frameworks mentioned earlier, the following sub-themes werefound.Departmental - Partnerships for RetentionWashington et al. and Evans & Chatmon both present examples of utilizing outside partnershipsto benefit African American computing students [22, 23]. Faculty at Howard University saw theneed to debunk common myths around CS, give a
Charles D. ”Chuck” Newhouse received his Ph.D. in Civil Engineering at Virginia Tech after working nine years as a consulting structural engineer for MMM Design Group in Norfolk, Virginia. He spent three years teaching at Texas Tech University before joining the faculty at the Virginia Military Institute in 2008 where he is now the Charles S. Luck, Jr. ’20 Institute Professor in Engineering. He is also currently serving as the department head of the Civil and Environmental Engineering department.Dr. Matthew K Swenty P.E., Virginia Military Institute Matthew (Matt) Swenty obtained his Bachelors and Masters degrees in Civil Engineering from Missouri S&T and then worked as a bridge designer at the Missouri Department of
currently serves as the Engineering Communications Coordinator for the first-year engineering program, as well as a faculty member for the Scientista Foundation and ASEE student chapters at Binghamton University.Meghan Crist (Academic Advisor)Koenraad E Gieskes (Assistant Director) Koen Gieskes first joined the Engineering Design Division at Binghamton University as a graduate student in 2004, then, in 2009, he was hired on as a full-time lecturer, and in 2017 he became the Assistant Director. In 2022, Koen began serving as the Interim Director. Mr. Gieskes received both his B.S. and M.S. degrees in Mechanical Engineering from Binghamton University. In 2019, Mr. Gieskes received the Chancellor's Award in Teaching
tasked with creating a training program for instructors, helping implement a new Calculus sequence, implementing an observation program for foundational mathematics courses, and establishing partners across campus for collaboration. Prior to joining Wentworth, Dr. Donovan was program chair for mathe- matics, data analytics, and cybersecurity at Lasell University. Chairing three unique data-rich disciplines under one umbrella enabled an interdisciplinary approach to meeting student needs and curricular devel- opment. She was also responsible for the development and implementation of university wide quantitative reasoning initiatives. Scholarship has focused on first year programs, student success, and diversity & eq
increased interest in other majors. • Poor teaching by engineering faculty. • Overwhelming pace and load of engineering programs. • Discouraging engineering grading systems. Mentoring ScenariosOriginally, Mentor was a friend of Odysseus, entrusted with the education of Odysseus’son Telemachus. Today, a mentor is considered as a trusted counselor or guide6. Mentorscan be divided in to many categories: well trained individual teaching less trained Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A & M University-Corpus Christi Copyright © 2005 American Society for Engineering Educationindividuals; well trained
Paper ID #33691Self Reflection of Engineering Majors in General Chemistry IIDr. Patricia Muisener, Stevens Institute of Technology Dr. Patricia Muisener is an Associate Teaching Professor and Associate Chair of Graduate and Undergrad- uate Education in the Chemistry and Chemical Biology Department at Stevens Institute of Technology. She teaches and coordinates the General Chemistry I and II course sequence. She was previously at the University of South Florida as a faculty member and Assistant Chair in the Chemistry Department. She holds a B.S. in Chemical Engineering from University of Massachusetts at Amherst and a M.S
Paper ID #33721Gender and Human Imagery in the Halls of a BME DepartmentDr. Kali Lynn Morgan, Georgia Institute of Technology Kali is a Postdoctoral Fellow in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology. She holds a master’s degree in Student Personnel in Higher Education from the University of Florida and a PhD in Curriculum and Instruction- Higher Education emphasis from the University of South Florida. Her research explores equity in STEM education, student development and learning.Adrianna BernardoTodd M. Fernandez, Georgia Institute of Technology Todd is a lecturer
-design (CAD)terminology and technology. Topics covered will include the engineering design process, rapidprototyping, principles of projection, and introductory methods of representation andc c e ge e .Historically, this course has focused on drafting and CAD, (Hennessey 2002, 2005), though inthe past two years, St. Thomas faculty has added an emphasis on design process, product design,and rapid prototyping. In addition to a final project in which students take apart a complexobject and create, using the SolidWorks CAD program, a full packet of engineering drawingsand models for the object, students must complete two design projects during the semester. In atypical semester, these projects are
within the video/image theme of the spiral model Note that these are the main interface subsystems used inapproach to improving the ECE curriculum. The project modern hand-held devices, such as smart phones.design code will be made available for downloading on the The faculty authors acted as external collaborators forinternet, via the Bitbucket web-hosting service, and the the principal investigator by implementing and testing newsoldering tutorial videos via YouTube. lab projects within two of our existing courses over a two- year period—a second year digital logic design course and aIndex Terms – Electrical and Computer
ofboth language and lab instruction by French (i.e., non-US) faculty, in an overseasexperience.CPE Program in French language class and laboratory The CPE 2007 program brochure, summarized in Table 1, highlights the parallelinstruction in French language and laboratory, along with emphasis on the culturalopportunities of the host city Lyon. The original CPE program1 was founded in 2000with a goal of providing US engineering and chemistry students with a summerexperience in France, which could then lead to an enhanced exchange of technicalstudents in subsequent academic semesters. Several of our previous participants havereturned for summer research experiences in Lyon, and one completed her final semesterof a dual French/engineering
loadings, that is, the combined stresses.The theories and formulas for the combined stress calculation are clearly described in anytextbook [1,2]. During previous semesters, we devoted time to discussing combined stresscalculations with students to determine why they had difficulty determining the combinedstresses. While they knew that the calculation of combined stress was an important skill, theyfelt that they were “lost” when they dealt with the combined stress issue. This might be simplycaused by the misconceptions about the stress because undergraduate students often have far lessconceptual abstract understanding in core engineering courses than faculty assumes [3]. Manyeducators have used the concept inventories to investigate the
California, Santa Barbara. Dr. Zhao joined CSU faculty in 2004. He is currently serving as the director of the Master of Science in Electrical Engineering, and the Chair of the Graduate Program Committee in the Department of EECS, the ABET coordinator for the BS in Computer Science Program, and a member of the faculty senate at CSU. Dr. Zhao has authored a research monograph titled: ”Building Dependable Distributed Systems” published by Scrivener Publishing, an imprint of John Wiley and Sons. Furthermore, Dr. Zhao published over 150 peer-reviewed papers on fault tolerant and dependable systems (three of them won the best paper award), computer vision and motion analysis, physics, and education. Dr. Zhao’s research is
working throughproblem sets in small groups, with instructor and TA help on call, along with other kinds of activelearning experiences. The next section illustrates excerpts from guided studies developed anddeployed for introductory database learning objectives.3. Guided Studies in an Introductory Database CourseThe introductory database course described and studied here is a first course taken byundergraduate computer science and software engineering students, students pursuing a minorin computer science, or students pursuing an analytics co-major offered jointly by Statistics andInformation Systems and Analytics departments. The only prerequisite for the course is a datastructures course. The course was offered as a flipped course with two
) applications. He was a vice president of Southern Minnesota APICS (2009-2012) and faculty advisor of APICS student chapter at Minnesota State University, Mankato.Dr. William R. Peterson, WRP Associates Page 26.1162.1 c American Society for Engineering Education, 2015 Modeling and Analysis of Flexible Manufacturing Systems: A Simulation StudyAbstractFlexible Manufacturing Systems (FMS) are highly modular reconfigurable systems, consisting ofa group of processing workstations (such as CNC machining centers), and interconnected by anautomated material handling and
. Page 26.378.10We plan to continue our efforts and are working on an additional study in fall 2015.Bibliography1. Felder, Richard M., and Rebecca Brent. The National Effective Teaching Institute: Assessment of Impact and Implications for Faculty Development. Journal of Engineering Education, April 2010, pp. 121-134.2. Guarino, Cassandra M., Mark D. Reckase & Jeffrey M. Wooldridge (2015) Policy and Research Challenges of Moving Toward Best Practices in Using Student Test Scores to Evaluate Teacher Performance, Journal of Research on Educational Effectiveness, 8:1, 1-7.3. US Chamber of Commerce, Leaders & Laggards A State-by-State Report Card on K–12 Educational Effectiveness. US Chamber of Commerce Foundation, 2014.4. Wilck
from Kansas State University in 1993. Prior to his coming to FGCU he was a Professor of Engineering at Roger Williams University and an Associate Professor and Director of the Civil Engineering Analysis Group at the United States Military Academy. Dr. O’ Neill is a retired Lieutenant Colonel, U.S. Army Corps of Engineers. He has been active at the national level with ASCE’s Committee on Accreditation Operations (COAO),Technical Council on Computing and Information Technology (TCCIT), Committee on Faculty Development (CFD) and Excellence in Civil Engineering Education (ExCEEd) initiative. Dr. O’Neill is a licensed Professional Engineer in California, Florida, Nevada and Virginia. He is a senior civil engi
the instructors. Videos were typically lessthan 10 minutes in length and were produced using the free version of screencast-o-matic [14]. Thecontent of videos was substantially similar to the lectures previously delivered in class, includingprompts for students to complete guided examples and other active-learning activities. A few videoswere closer to 15 minutes in length and focused on a faculty member working through a previously-unseen (by the faculty member) problem. These “mystery problem” videos were intended to provide awindow into an expert’s problem solving and coding strategy, rather than on content delivery. Onevideo was created by another professor at ONU who was not involved in the class, but is a subject-matter expert on the