Engineering at Arizona State University. Her research is focused on low-cost biosensor systems and microfluidics for point-of-care applications. She is a Walter Scott, Jr. College of Engineering Graduate Teaching Fellow (GTF) for the 100-level introductory course for biomedical engineering at CSU. Her work in the GTF program focuses on improving retention rates in first- and second-year engineering students by better understanding how students learn and implementing novel teaching strategies in the classroom to improve learning outcomes.Prof. Ketul C. Popat, Colorado State University Dr. Popat is an Associate Professor in the Department of Mechanical Engineering/School of Biomed- ical Engineering at Colorado State
built in 2003 in a predominantly ethnicallyisolated inner city neighborhood. Its location facilitated ethnicity integration without the aid of adistrict assigned plan. During its first year of operation, the school applied for and received athree year grant from the Magnet Schools Assistance Program (MSAP) that provided additionalresources to support its curriculum and faculty development. The school has a K-5 studentpopulation with no special enrolment criteria and definitely functions as a typical neighborhoodschool. It has more than 600 students and at least 3 classrooms at each grade level. Studenttalents and abilities are normally distributed and there is no grouping of mainstream students bysections, test scores, and/or perceived ability
specialized tools such as those for automatically grading coding assignments. Whileeach of these tools has the potential to reduce the time spent by instructors, providing effective,timely feedback to students should still be the focus. This paper reviews commercially available products that can assist or automatically gradeassignments and provide feedback to students. First, each tool is categorized based on features.The categories include plagiarism checking, assignment feedback and rubrics, and annotatingwriting assignments. These categories are selected based on their broad applicability to highereducation STEM instructors. Then the tools in each category are summarized based on publiclyavailable data and free trials. The goal of this
theories and later applyingthem to problems, learning is organized and oriented by the problems, so the problemscome first. Students work in groups on a given problem and are given the responsibility todetermine and carry out what they need to learn and do in order to solve that problem withthe assistance of faculty. PBL programs generally exhibit the following characteristics: • Student-centered learning • Collaborative learning • Instructors as facilitators • Self-directed learning.In order to succeed in a PBL setting, learners must acquire skills in the problem-solvingprocess as well as the content of the course in which the problem is situated. Unfortunately,first-time PBL students often struggle with how to identify and
study contexts so that they can experience intercultural collaboration and develop respective competences. Dr. May is Vice President of the Interna- tional Association of Online Engineering (IAOE), which is an international non-profit organization with the objective of encouraging the wider development, distribution and application of Online Engineering (OE) technologies and its influence to the society. Furthermore Dr. May serves as Editor-in-Chief for the ’International Journal of Emerging Technologies in Learning (iJET)’ with the aim to promote the inter- disciplinary discussion of engineers, educators and engineering education researchers around technology, instruction and research.Dr. Mark Trudgen, University of
testing.Computer Aided Manufacturing (CAM) enables manufacturers to directly utilize information generatedby designers to manufacture parts. Product Lifecycle Management (PLM) ties all of these innovationstogether tracking mountains of data, enabling distributed multidisciplinary teams to share information inreal-time over the Internet. In 2002 Georgia Tech and PTC of Needham, MA founded the PLMCenter of Excellence at Georgia Tech to explore the concepts of fostering and teaching multidisciplinaryDistributed Collaborative Product Development (DCPD) in an academic curriculum. With several pilotprograms securely under our belts, we embarked upon a “Grand Experiment” involving students frommultiple schools and many disciplines collaborating virtually to
. Moreover, the engineers of the next century will face a challenging world which requires afully prepared professional regarding knowledge, abilities and attitudes. This has brought aboutan awareness of the need to incorporate new principles and concepts in engineering educationwhere the design of the curriculum plays a crucial role.Among the new challenges higher education has been facing recently, the Internet is one of themost revolutionary. Since the early nineties when millions started to access the Net it has becomea source of learning by many of its users. It is believed that it will not take too long for it to beused as a mass-media in form of formal education, even at tertiary level. Furthermore, the neweconomic order has been imposing
the power of learning via the internet lies in its capacity tosupport multiple modes of communication including any combination of student-student, student- Spring 2016 Mid-Atlantic ASEE Conference, April 8-9, 2016 GWUfaculty, faculty-student, faculty-faculty, student-others, others-students, etc. Taking into accountthe varied learning styles of learners and providing opportunities for self-directed and collaborativelearning, educators can facilitate powerful, effective courses geared to achieve specific learninggoals and outcomes using the vast resources and capacities of online learning. It was also notedthat effective online instruction involves translating the unique benefits of face-to-face interactionto online
). Grade Increase: Tracking Distance Education in the United States. Babson Survey Research Group.2. Rovai, A. P., & Downey, J. R. (2010). Why some distance education programs fail while others succeed in a global environment. The Internet and Higher Education, 13(3), 141-147.3. Frydenberg, J. (2007). Persistence in university continuing education online classes. The international review of research in open and distributed Learning, 8(3).4. Heyman, E. (2010). Overcoming student retention issues in higher education online programs: A Delphi study. University of Phoenix.5. Carr, S. (2000). As distance education comes of age, the challenge is keeping the students. Chronicle of higher education, 46(23).6. Brady, L. (2001). Fault
professoriate.Hackathons conjure up images of caffeinated male college students competing all night to provetheir programming worth in order to snag that dream job at a dot-com startup. In reality,hackathons are a rapid and innovative way to create industry prototypes and are a promising toolfor software engineering departments to foster internal and external collaborations (Raatikainenet al., 2013). On average, women, an underrepresented group in computer science andengineering only comprise 11% of participants in technical hackathons (Briscoe & Mulligan,2014). Although there is little literature that exists examining the culture of hackathons,anecdotally, on the internet, women cite feelings of constant security and/or gender stereotypesas reasons for their
a Software Engineer in the area of CAD system development. Dr. Schaefer has published around 80 papers in journals, books and conference proceedings on Computer-Aided Engineering and Design as well as Engineering Education. He has presented his work at numerous international meetings, regularly organizes an international conference on ECAD/ECAE Technology and serves on scientific program committees. Dr. Schaefer is a member of The American Society of Mechanical Engineers (ASME), The Institute of Electrical & Electronics Engineers (IEEE), The Association for Computing Machinery (ACM), The American Mathematical Society (AMS), The American Society for Engineering Education (ASEE), The
applications for water treatment and corrosion prevention.Prof. Judit Eva PuskasDr. Frank ”Fritz” J Claydon, University of Houston (CoE) Dr. Claydon is a Professor of Electrical and Computer Engineering. He serves as Director of the Honors Program and Student Success for Engineering Students at the University of Houston Page 26.565.1 c American Society for Engineering Education, 2015 Easing the Tortuous Road that Under-represented Minorities Travel to Become Engineering FacultyAbstractNumerous studies have been conducted on the issues facing underrepresented
Paper ID #37825Board 284: Exploring and Supporting Non-STEM Teachers’ EngineeringIdentity Development during Implementation of an Engineering DesignElective Course in Rural Middle SchoolsMicaha Dean Hughes, North Carolina State University, Raleigh Micaha Dean Hughes is a doctoral student in the Educational Psychology program in the Teacher Educa- tion and Learning Sciences department at North Carolina State University. Her research interests include community-engaged approaches to educational equity and access in STEM education, college recruitment and K-12 outreach practices for minoritized groups in STEM, mathematical identity
-cost 32-bit system on a chip that has integrated Wi-Fi, Bluetooth, andI2C/SPI capabilities. During the lab exercises, students learn how to use ESP32 and compatibleArduino programming libraries to interface with sensors and display modules. While these labsare currently optional, they will be made mandatory in the next academic year. The labs allowstudents to see a practical application of their programming skills, which establishes a firmfoundation for the second-year Cornerstone courses, both of which use an ESP32 board as theprimary microcontroller for more advanced projects.In their fourth and final year, all students participate in our Capstone three-quarter sequence.These courses have been very successful over the last two decades [4
software. The ideal software residence is on an internet or intranet where it can be accessed at any time from any computer within the network. In the case of the software that resides on an intranet or even on individual computers, this attribute is coupled with maintainability in the goal to minimize the administrative interaction with the software while maximizing its availability.Gathering requirements is usually an extensive process taking place throughout the planningstages of software engineering. Most of the requirements should be finalized before actualdevelopment begins to avoid the difficulty of later overhauls. The administrative stakeholdersoften have the least specific requirements for a software system
Paper ID #39303A Gamification Framework for Exploratory Learning in Higher STEM Edu-cationDr. Yan Shi, University of Wisconsin - Platteville Dr. Yan Shi is currently a Professor in the Software Engineering Program at University of Wisconsin- Platteville. She received her PhD in Computer Science from The University of Texas at Dallas in 2011. Her research interests include software engineering, data engineering, machine learning and engineering education.Dr. Kyle S Horne, University of Wisconsin - PlattevilleYanwei Wu, UW Platteville ©American Society for Engineering Education, 2023 A
knowledge is gradually replacing depth in areas that are fundamental engineering but have become general and complementary knowledge from the point of view of potential employers.(d) The mathematics involved in most engineering topics is becoming increasingly complex, and there is often little time to instruct students in mathematics. Application of mathematical techniques is however necessary to produce meaningful results and to convey a better understanding of engineering subjects to students.Electrical Engineering is now a discipline that is fast evolving, shifting from thetraditional subjects, power engineering, electronics and communications, to a broadcategory of knowledge known as information technologies, and
. Mohammed has been successful in obtaining a number of research contracts and grants from industries and federal government agencies. He has current active and funded research programs in several areas funded by the Office of Naval Research and the U.S. Department of Energy. Mohammed is also interested in developing learning environments and educational techniques for Internet based delivery systems and virtual laboratories. Mohammed is a Fellow of IEEE and is a recipient of the 2010 IEEE PES Cyril Veinott Electromechanical Energy Con- version Award. Mohammed is also a Fellow of the Applied Computational Electromagnetic Society. He is Editor of IEEE Transactions on Energy Conversion, IEEE Transactions on Magnetics
faculty, who are oftenconcurrently engaged in research, service duties, and mentoring activities [2], [3].To support instructional designers and faculty in this endeavor, we have leveraged the APIs ofOpenAI tools to create Transcriptto, a Python program that contains clever algorithms that aid inthe crucial steps in lecture preparation, allowing instructional designers and faculty to have abetter starting point when starting the development of an online course. Transcriptto utilizes astraightforward yet robust workflow, incorporating openly available technologies such asPymovie, FFmpeg, OpenAI’s Whisper, and ChatGPT. It transforms video lectures into polishedtext, supporting various input types, including audio files, and pre-existing scripts
undergraduate students’ process ofdrawing conclusion from the engineering experimental practices.1. IntroductionMost US manufacturing, mechanical engineering and engineering technology programs offerhands-on practices to undergraduate students. Courses with hands-on labs and/or design projectswere mainly related to three Accreditation Board for Engineering and Technology (ABET)student outcomes: (b) an ability to design and conduct experiments, as well as to analyze andinterpret data, (g) an ability to communicate effectively, and (k) an ability to use the techniques,skills, and modern engineering tools necessary for engineering practice. This is mainly becausestudents need to conduct hands-on experiments and write reports to present the outcomes of
to distinct material choices and the unique materials combination for specific applications. She is also renowned for her work in the Engineering Education realm working with faculty motivation for change and re-design of Material Science courses for more active pedagogiesProf. William Joseph Stuart P.E., Oregon Institute of Technology BIOGRAPHICAL SKETCH Professor Joe Stuart PROFESSIONAL PREPARATION B.Sc., Metallurgical/Mechanical Engineering, University of Nevada at Reno (1969) M.Sc., Physical Sci- ence, University of Southampton, UK (1972) APPOINTMENTS 2006 to Present Program Director Manufacturing Engineering Technology, OIT 2011 to Present Associate Professor, MMET Department, Oregon Institute
Page 14.1006.2process. For universities with graduate programs and significant research endeavors, seniorcapstone topics can often be identified as those that, although have merit, are perhaps not largeenough in scope for a graduate student. Regardless the size of a school’s research activities,local industries can be a wonderful source of design topics. It’s a win-win situation since youcan get a terrific topic for your students and they can get free engineering; but sometimes it canbe difficult for a faculty member to meet these engineers and tap their design problems,especially if the faculty member is new to the area.Perhaps the best way to contact the industries is through the program advisory boards, butbeyond that it definitely requires
Paper ID #8664Development of On-Line Lecture and Preparation Resources for ElectricalEngineering Laboratory CoursesDr. Susan C. Schneider, Marquette University Susan Schneider is an Associate Professor in the Department of Electrical and Computer Engineering at Marquette University, Milwaukee, WI. She is also the Director of Undergraduate Laboratories for the Electrical Engineering program. Dr. Schneider is a member of ASEE, the IEEE, Sigma Xi and Eta Kappa Nu.Dr. James E. Richie, Marquette University James Richie received his Ph.D. degree from the University of Pennsylvania in 1988. He is presently associate professor
phases, fostering continuous improvement and adaptability. [26]Extreme Programming (XP) Extreme Programming (XP) emphasizes technical excellence and customer satisfactionthrough practices such as pair programming, continuous integration, and test-drivendevelopment. XP promotes frequent releases and iterative development to accommodatechanging requirements. [27].1.3.3 Rapid and Adaptive ModelsRapid Application Development (RAD) Model The Rapid Application Development (RAD) Model prioritizes rapid prototyping anditerative development, enabling quick delivery of functional software. RAD's emphasis on userinvolvement and feedback ensures that the final product meets user needs. [28]DevOps Model The DevOps Model integrates
Systems, FEA and other CAE applications in Multi-physics Problems and Engineering Education.Dr. Ronald Bonnstetter, Target Training International Dr. Ron Bonnstetter serves as the senior vice president of research and development for Target Training International. With a bachelor’s from Mankato State University, master’s and doctorate degrees from the University of Iowa and decades of award-winning teaching and research at the University of Nebraska – Lincoln, Bonnstetter has amassed an arsenal of recognition and research, including the first recipient of the National Senior Outstanding Science Educator of the Year Award and the only secondary science prepa- ration program recognized in the national Search for
novel ways of connecting with relevantaudience. Our analysis demonstrates that diversity initiatives related to STEM attract voices fromvarious entities including individuals, large corporations, media outlets, and community interestgroups.IntroductionThe term “STEM education” refers to teaching and learning in the fields of science, technology,engineering, and mathematics. According to Sanders (2008), in the 1990s, the National ScienceFoundation (NSF) “SMET” was the shorthand for “science, mathematics, engineering, andtechnology” and an NSF program officer complained that “SMET” sounded too much like “smut,”that resulted in the new acronym “STEM” [1]. Although it took some time for STEM to catch on,and even as recently as 2003 few people know
to a broad range ofstudents and are applicable in many business and life situations that need not entirely be confinedto start-ups. For example, The Brandeis University/National Foundation for TeachingEntrepreneurship (NFTE) impact study administered an “entrepreneurship knowledge” pre/posttest at 60 program sites in which 59 increased in average scores, 3 sites more than doubled theiraverage scores, and another 10 sites increased their average scores by 60%. Further, 97% of theprogram alumni surveyed by Koch Foundation researchers reported that the program improvedtheir business skills and knowledge (Koch Foundation, 2004).BA/ENGR497G covers the broad management skills required by entrepreneurs such asopportunity identification, business
reported disparities intechnological skill and use among various types of undergraduate students.4,6,9-12Previously, scholars have employed a broad definition of technology to describe hardware suchas cell phones and computers or software for word processing and web-based applications. Suchdefinitions have been used to understand how collegians, instructors, and professionals interactwith technology. In the present study, educational technology signified specific computer andinformation technology such as computer hardware (e.g., desktops, laptops), computer software(e.g., Microsoft Word/Excel, MATLAB, SolidWorks), electronic devices (e.g., cellphones,tablets, E-readers), and the Internet (e.g., websites, course management systems). So
institution trough a very user-friendly Webtalk® graphic interface.Additionally, the system creates archival records of system parameters and these are stored onthe server controlling the entire university. At our institution the system is programmed to takearchival data every 15 minutes. The real time data can be accessed from any internet-capablecomputer and requires a user ID and password. Each individual user ID for the system haspermissions associated with it that allow a range of control from only being able to view the data Page 25.293.6to having complete control to make changes to the operation of the building. The archival datarequires
role of generative AI in shaping future educational tools and practices.Mohammed Seyam, Virginia Polytechnic Institute and State University Mohammed Seyam is a Collegiate Associate Professor in the Computer Science Department at Virginia Tech. He is a researcher and educator in the fields of Software Engineering, Human-Computer Interaction, and Computer Science Education. Additionally, he is the CS Department Coordinator for Experiential Learning, where he leads several initiatives to enhance students’ learning through out-of-classroom experiences, including the CS Study Abroad program. Mohammed has 20+ years of experience in teaching university level courses, and he presented and conducted multiple talks and