task. Components of an online process-based assessment testbed areidentified.Embedded Assessment of Complex SkillsEngineering education has been a leader in the novel use of computer-based instruction. Theintended use of many of the applications is to increase students’ understanding of the content andto develop their problem solving skills in a particular content area. This is consistent with recentcalls for engineering schools to increase students’ problem solving skills 1-10. However, assessingcognitively complex skills such as problem solving requires use of modern assessment methods;typical course evaluations, anecdotal instructor evaluations, and surveys of student attitude areinadequate1-4.One method being explored is the use of
Perspectives Program (GPP) Fellow, and was inducted in the Bouchet Honor Society in 2017. Sreyoshi is committed to demystifying and democratizing generative AI solutions and bridging the gap between theoretical research and practical applications using AWS technologies. ©American Society for Engineering Education, 2025 WIP: Gen AI in Engineering Education Work-in-Progress: Gen AI in Engineering Education and the Da Vinci Cube Abstract As generative AI (GenAI) tools rapidly transform the engineering landscape, a crit- ical question emerges: Are current educational innovations adequately preparing en- gineers
applications and multi-participant motion simulation by networkingmultiple motion simulation sites.AcknowledgementsThe work described in this paper is supported by the National Science Foundation Course,Curriculum and Laboratory Improvement (CCLI) program (grant DUE-0633596) and the NewYork State Foundation for Science, Technology, and Innovation (NYSTAR).Bibliographic Information 1. Wankat, P. and Oreovicz, F., 2001a, “Learning Outside the Classroom,” ASEE Prism, 10(5), p. 32. 2. Wankat, P. and Oreovicz, F., 2001b, “An Over-stuffed Curriculum,” ASEE Prism, 11(2), p. 40. 3. Wankat, P.and Oreovicz, F., 2003, “Getting Out of Your Box,” ASEE Prism, 13(3), p. 49. 4. Wankat, P. and Oreovicz, F., 2004, “Simulators to Stimulate Students
concepts in solving comprehensive design problems?Two types of custom-made examinations are being used in the summative evaluation. The first isa Readiness Assessment Test (RAT) which tests retention of material taught in previous courses.The second is a Comprehensive Application Test (CAT) which tests students’ design abilityacross several courses. In addition, faculty panels evaluate the oral and written presentations ofthe students’ capstone design projects to determine whether teams with a higher percentage ofSooner City participants perform better than those with lower percentages.The focus of the following discussion will be on the main formative question: Is this projectworking as anticipated? Every semester, student questionnaires and
desire to developsolutions to displaced communities is more important than ever. On the one hand, there are manyways to use engineering education to promote self-reliance. On the other hand, there is a lack ofpolicies and conditions to enable educators to design engineering education programs effectivelyin these settings. In light of these constraints, existing engineering solutions often come throughinternational programs or external aid. This paper intends to examine a pedagogical framework,called localized engineering in displacement (LED), designed to provide displaced students withan opportunity to attend and earn credit for an undergraduate introductory engineering coursewithin their community and foster local capacity building
lean implementation and training and development. He has developed programs and taught in a community college for several years. He has served as an examiner for several Baldrige based quality award processes, including The Malcolm Baldrige National Quality Award, and state awards in North Carolina and Georgia. His research and consulting interests include the improvement of organizational performance through quality initiatives such as the Malcolm Baldrige National Quality Award Process, Six Sigma, Lean, etc., and the application of these initiatives to education, manufacturing, services and healthcare.Dr. Gregory L. Wiles P.E., Kennesaw State University An Interim Chair and Assistant Professor of Systems and
universities and community colleges as part of a $5.0 million technical workforce development initiative funded by New York State. She has pub- lished diverse articles on topics ranging from engineering education to high temperature superconductors and has spoken at many national and international conferences. Her doctorate in materials science and engineering is from the University of Wisconsin, Madison, and she holds five patents.Mr. Brian Arnold, National University Assistant Professor and Lead Faculty for National University’s Digital Media Design Program, Brian is also a hybrid PhD student in Michigan State University Educational Psychology and Educational Technol- ogy Program. Career highlights include a five year
Paper ID #16377Natural Nanotechnology: Examples of Creating a Culture of Outreach withAccessible and Adaptable ModulesProf. Virginia A. Davis, Auburn University Dr.Virginia A. Davis’ research is primarily focused on using fluid phase processing to assemble cylindrical nanomaterials into larger functional materials. Targeted applications include optical coatings, 3D printed structures, light-weight composites, and antimicrobial surfaces. Her national awards include selection for the Fulbright Specialist Roster (2015), the American Institute of Chemical Engineers Nanoscale Science and Engineering Forum’s Young Investigator
/article/pii/B9780121098902500457[14] P. H. Winne and A. F. Hadwin, “nStudy: Tracing and Supporting Self-Regulated Learning in the Internet,” in International Handbook of Metacognition and Learning Technologies, R. Azevedo and V. Aleven, Eds. New York, NY: Springer, 2013, pp. 293–308. [Online]. Available: https://doi.org/10.1007/978-1-4419-5546-3%5F20[15] L. Silva, A. J. Mendes, A. Gomes, and G. F. Cavalcanti de Macˆedo, “Regulation of Learning Interventions in Programming Education: A Systematic Literature Review and Guideline Proposition,” in Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, ser. SIGCSE ’21. New York, NY, USA: Association for Computing Machinery, Mar. 2021, pp. 647–653. [Online
Director for NASA MUREP Aerospace Academy program at ECSU. His areas of interests include embedded systems design, Internet of Things (IoT), remote computing applications, UAS applications research, mobile robotics, and innovative uses of educational technologies. Dr. Rawat may be reached at ksrawat@ecsu.edu.Dr. Chandra Bhushan Asthana P.E., Elizabeth City State University Dr. Chandra Asthana completed undergraduate education in aeronautical engineering at the Indian In- stitute of Technology, Kharagpur, the postgraduate education in aeronautical engineering and Ph. D. in control systems design at Indian Institute of Science, Bangalore. He has worked at Air India, Defense Re- search and Development, Hyderabad, India, at
use up to 3 GHzhave come down to the $100 range. Numerous open-source applications make interfacing thesenew VNAs (nanoVNA) easy to use with laptop computers. This presentation will look at thenanoVNA and nanoVNA tools for RF circuit laboratory measurements. Part of the presentationwill cover the series of laboratories performed at Villanova University that are based on thenanoVNA that cover matching, filtering and amplification up to 1.3 GHz. Examples of studentwork will be shown.IntroductionOne of the logical extensions of courses in electromagnetics is further study in the area ofmicrowave and RF engineering. With the dramatic increase in connectivity for applications suchas the Internet of Things (IoT), 5G and beyond, and personal
Paper ID #22375Establish Feedback Loops in an Electrical Engineering Core Course withAdaptive ReleaseDr. Yufang Jin, University of Texas, San Antonio Dr. Yu-Fang Jin got her Ph.D from University of Central Florida in 2004. After her graduation, she joined the University of Texas at San Antonio (UTSA). Currently, she is a Professor with the Department of Electrical and Computer Engineering at UTSA. Her research interests include nonlinear control and application of nonlinear control and modeling techniques to biological systems. Her teaching interests include course redesigning to improve critical thinking and problem solving
interviews conducted by Savage etal. revealed that PowerPoint-intensive lectures can negatively affect a student’s motivation tolearn [11]. In an effort to improve student engagement, active learning activities and guestspeakers were incorporated into the course meetings.As a practical application of the course material, the students engaged in “How’s it Made?”activities. Working in teams of 3-4, students competed to identify the manufacturing processesused to fabricate metallic and polymer objects (Fig. 6) by observing the object’s shape, surfacefinish, and function. When learning about additive manufacturing (AM), the students wereassigned an internet-based “scavenger hunt” to determine the differences between popular AMprocesses.During the spring
students’ performance and therebymaximize their learning productivity. We focus on the students’ past academic performance topredict their future results. This is done by analyzing the various factors of course material andstudents’ online behavior from the Learning Management System (LMS). We also analyzeseveral predictors that contribute to the overall student performance from the data collected. Todetermine the efficient model that is more accurate and precise, we compare the performance offour well-known machine learning classification algorithms. The 2017 and 2018 academic yeardata collected consists of user patterns, navigational behavior and the students’ daily activitiesfrom the LMS, Blackboard (Bb) Learn of the Undergraduate IT program
. 6) by observing the object’s shape, surfacefinish, and function. When learning about additive manufacturing (AM), the students wereassigned an internet-based “scavenger hunt” to determine the differences between popular AMprocesses.During the spring 2017 semester, three experts working in industry were invited to give guestlectures. These speakers addressed the following topics: welding processes in industry, advancesin heat treatment of metals, and succeeding as an engineer in a manufacturing industry. Whenthese guests lectured, each student was required to ask at least one question and then write areflection essay describing what they learned about possible applications to their futureengineering careers.Figure 6: Example “How’s it Made
AC 2007-2888: WEB-BASED FORUMS FOR STUDENT LEARNING THROUGHTEACHINGStephen Crown, University of Texas-Pan AmericanArturo Fuentes, University of Texas-Pan American Page 12.1601.1© American Society for Engineering Education, 2007 Web-Based Forums for Student Learning Through Teaching Using Course Projects and HomeworkAbstractProviding opportunities for students to learn through teaching is becoming practical due to neweducational applications of commercial technology and may not only be advantageous to astudent’s own process of learning, but beneficial to other students. The media age has introducedpositive advances to education and several challenges
Session 1520 Data Warehousing from the Web Chris Fernandes and Michael Whalen Department of Computer Science Union College Schenectady, NY 12308AbstractData warehousing is the ability to collect information from various data repositories and combinethem into a single structured repository that can be queried for new information such asperformance trends, decision modeling, predictions, and association rules. Internet web sites aredata repositories containing useful but unstructured data. In this paper, we
the most important parts of planning a unit of instruction. The problemsolving, inquiry and system analysis associated with this dimension is well suited for engineeringand scientific applications. Dimension 5 indicates that most effective learners have developedpowerful habits of mind that enable them to think critically, think creatively, and regulate theirbehavior. The five dimensions work together to ensure that students acquire conceptualunderstanding of their subject matter. All of these dimensions are important in the learningprocess, and by using all of the five dimensions of learning in the course redesign, it illustratesthat the optimum approach for teaching and learning is being sought. Table 1 summarizes theadvantages of the
and allowspreference for more than one input mode. The VARK catalyst and discussion of active learningand learning styles are available from Dr. Charles Bonwell11 over the internet at www.active-learning-site.com. Page 5.504.2Like Felder, Fleming and Mills found that students will learn material more effectively if theyreceive that information in the manner in which they prefer to receive information. The VARKcatalyst divides input modes into four areas:7 visual (V), aural (A), read/write (R), andkinesthetic (K). Visual learners prefer pictures, diagrams, and flowcharts. An aural learnerindicates a preference for spoken words, while a read
, many early books cataloged useful mechanisms andtheir applications. For example, Hiscox’s Mechanical Movements 2, published in 1904, containsillustrations and descriptions of 1800 mechanisms.In the second half of the 20 th century, the focus in engineering education turned towardengineering science, and practical matters were de-emphasized. Since then, mechanicalengineering education has focused on analysis of mechanisms, rather than synthesis or application.Few students today have seen let alone tinkered with real mechanisms or machines, and have littleor no understanding of how they work or where they can be applied. Analysis does not providethis insight.Few modern books contain descriptions and practical applications of common mechanisms
illustrating thebeneficial results of networked-based technology to enhance student learning (see reference 6 forthe CAPA website that describes this study and the networked based system they currently use.)In our course, the instructors believed that the use of the QFD software application wouldenhance the students’ learning and understanding of the QFD method by allowing students toconstruct a House of Quality as they were being taught. This method of instruction would allowthe students to learn the method and use of the software at the same time. The introduction of computers into the classroom, especially ones that are wirelesslynetworked, can be a significant distracter for the students. The students now have the ability toaccess the
to guide its production. The current EDG curricula in amajority of engineering programs still reflect this serial approach to product development by relying onengineering drawings for design representation. The students may be using Computer-Aided Draftingsystems and even 3-D geometric models, but they still learn skills of a designer/detailer and end upproducing engineering drawings that are useful only in the traditional design process. There is a majorneed to conduct a nationally-based curriculum development project to establish the content andmethodology for teaching Engineering Design Graphics in the 21st Century. This proposed project isbased on the premise that 2-D drafting is no longer the central focus of the Engineering Design
" 8 Network Literature Internet Interviews News Psychology Department - Cognitive Psychology Insurgency Information Database Rational Software ArchitectModel Development Process Cougaar Dynamic Model ArcView GIS Model Insurgency Model Implementation Information Framework (IIF
hasstimulated reforms in the approaches professors take to deliver education1-4. The renewedemphasis on enhancing student learning5,6 has resulted in various reforms ranging from thefundamental programmatic approach (e.g., revision of an entire program to include design at alllevels7 and use of clinic classes at all levels8) to the more modest, typically single professor,approach (e.g., using multimedia programs9 and virtual instruments10 in laboratory courses).This paper presents the author’s experience in implementing open experiments in anundergraduate environmental engineering laboratory course. The rationale behind including openexperiments in the course was to help students gain a better perspective in identifying andaddressing open-ended
the students in the class. Proper use of e-mail lists will assist in planning course-related activities; by allowing information exchange and feedback. Making use of the internet, within the context of teaching-learning issues, is no substitute for face to face meetings during office hours, in the corridor, or during an informal gathering of the instructor and the students. It is merely a resource intended to augment and enliven the classroom experience. General complaints about technical capabilities of engineering faculty are rare. However, many instructors need to improve their course delivery skills to help them in teaching and in engaging students. There are today, on many campuses, programs (workshops, short courses
- ally circulated journals related to materials science and mechanical engineering. He has also served on several NSF panels as a reviewer. He is currently teaching fundamental courses in materials science and mechatronics engineering at MTSU.Dr. Ahad S. Nasab, Middle Tennessee State University Dr. Ahad Nasab received his PhD from Georgia Institute of Technology in 1987. He then worked as a research scientist at the Center for Laser Applications of Physics Research Group of University of Tennessee Space Institute. In 1991 he joined the faculty of Middle Tennessee State University where he is currently the coordinator of the Mechatronics Engineering degree program.Dr. Walter W. Boles, Middle Tennessee State University
Transport (BME 210) is a required course in the biomedical engineeringcurriculum at Vanderbilt University. Students normally take this course during their junior year.The course objective is to provide the fundamental principles and biological applications ofmomentum, heat and mass transfer. The course has followed a traditional approach,characterized by the presentation of lectures and instructor-centered problem-solving during theclass period. The lectures normally covered material in the same sequence as it appeared in thetextbook, and the textbook topics followed the traditional taxonomy of transport phenomena.Students were generally passive during classroom sessions and student problem solving wasperformed exclusively outside the classroom
understanding and illustrating applications of the course material. Often, course materialis presented to students without a tie into pragmatic, real world application. By making physicalmodels and dramatic presentation techniques standard practice, instructors bring practicality intoeach lesson. Students have consistently given positive feedback to this effort through mid-courseand end-of-course feedback surveys. Taking engineering out of the often intimidating realm ofthe theoretical and bringing it into the real world enables instructors to engage students in the“whys” and not just the testable bottom line.IntroductionDrama in the classroom creates an environment where students look forward to attending class.Through a variety of staged events
Technology Universities & Programs: Benchmarking,Quality Reviews and AccreditationBut, of the preceding, or other ranking/comparative systems out there, which are applicable to orhave specifically focused on or dealt with the issues of engineering and technology specialties?U.S. News & World Report, the THES, ARWU, HEEACT, Newsweek, QS, SciVal and theStudentReview have all attempted to provide engineering specific feedback to their readers.Notably, none of these have addressed distinctions between engineering and engineeringtechnology programs and the authors suspect, in the absence of any literature identified facts tothe contrary, that none of the rating systems have made any cogent attempt to systematicallyinclude engineering technology
Engineering at the University of Bridgeport. He received his Ph.D. from Florida International University in Miami. He has two master's degrees - one in Physics from Georgia State University and another in Electrical Engineering from Mercer University. Dr. Gupta's research interests lie in the application of signal processing in audio and bio signals.Lawrence Hmurcik, University of Bridgeport Lawrence V. Hmurcik is Professor and Chairman of Electrical Engineering at the University of Bridgeport, Bridgeport, CT. He earned his Ph.D. in semiconductor devices at Clarkson University in 1980.He worked in Diamond Shamrock's research division for 3 years before joining the University of Bridgeport in