) Haridas Kumarakuru, PhD, MInstP Department of Physics, College of Science, Northeastern University, 360 Huntington Ave, Boston, MA 02115 E.Mail: h.kumarakuru@northeastern.edu Hari has 18+ years of educational leadership experience amplifying academic and scientific endeavours in the higher education setting that has brought him to four separate continents. He capitalizes on his in-depth competencies in curriculum implementation, instructional delivery, scientific research, technical writing, and student mentoring to provide students with the tools for academic and professional success. Since 2007, he has had the privilege of mentoring numerous undergraduate and master’s students, a pursuit he is most passionate about. He
state boards consists of three major steps:education, experience, and exams.1 Colleges and universities play a critical role in the educationrequirement through curricular development and program accreditation. They can also play a role inassisting graduates in experience acquisition through career support services. The extent to whichinstitutions should include passage of the exams- the Fundamentals of Engineering (FE) and Practice ofEngineering (PE)- as a graduation requirement or even emphasize test content in the curriculum is open todebate.2,3 Regardless of curricular emphasis on FE exam preparation, Civil Engineering programs aim toprepare students for eventual licensure and some have created FE review courses to assist towardcompletion
performancetest was required to engage in a failure analysis. They were to identify the causes for why therobot did not achieve the goals of the test, along with likely strategies for remedying theproblems identified. Additional details of the initial assignment and how it fit into the coursecontext are described in an earlier publication [2]; a summary of the assessment found in thatpaper is provided below, as it sets the context for this study.The first time this assignment was incorporated in the curriculum, there were four performancetests, and about half of the participating teams engaged in one or more failure analyses. Codingof the student responses, focusing on the causes of failure and the proposed solutions formitigating it, showed that while
: Trajectory of the average quarterly GPA of members of each cluster on an expanded scale.Fig. 3: Trajectory of the average cumulative engineering GPA of members of each cluster on an expanded scale.Fig. 4: Trajectory of the average quarterly engineering GPA of members of each cluster on an expanded scale.In Figures 1 and 3, we see that, for all clusters, overall average cumulative GPA and EngineeringGPAs fall as students progress through the curriculum with Cluster 3 (Unconnected and ClosedOff) declining the fastest. However, around Spring (2) and Fall (3), we notice a gradual increasein GPAs up until Fall (5) with the largest jump in GPA from Winter (3) to Spring (3) (Fig. 1 and3). Also, for the data, it should be noted that terms from Winter (3) to
accurately diagnose them when able to have a peripheral available during the assessment of a simulated telehealth visit?Methods APRN students in the Doctorate of Family Nurse Practitioner track (DFNP), who wereenrolled in the Advanced Health Assessment course at a university in Florida completed asimulation based education (SBE) experience as part of the course curriculum. Participatingstudents (N = 24) from this course were randomly selected by drawing a stick labeled either“provider” or “patient” to perform the provider or patient role for the SBE experience. Studentswho were selected to be “providers” were tasked with completing a telehealth visit on a student“patient”. Students not selected as providers were “patients
Environmental Engineeringcurriculum (Introduction to Environmental Engineering) and another course from theConstruction Management curriculum (Construction Quantity Surveying) were selected.Problem-solving in the class as a part of course delivery was performed in each topic of thecourses as a part of the active learning activities. At the end of the semester, a survey with threeLikert-scale questions was conducted, and the data was analyzed to determine the students’perceptions and attitudes about active learning in terms of their learning experience andperformance in the exam. The final grades were also analyzed and compared with previous similarsemesters’ data for both the courses to predict the effect of active learning activities
Management Sciences, vol. 2, no. Special 1, pp. 120–127, 2012.[15] D. Kremcheeva and E. Kremcheev, "Implementation of the six sigma method in theeducational process," in Journal of Physics: Conference Series, vol. 1384, no. 1. IOP Publishing,2019, p. 012022.[16] S. Paramasivam and K. Muthusamy, "Study of critical success factors in engineeringeducation curriculum development using six-sigma methodology," Procedia-Social andBehavioral Sciences, vol. 56, pp. 652–661, 2012.[17] M. G. Kanakana, J. H. Pretorius, and B. J. van Wyk, "Applying lean six sigma in engineeringeducation at tshwane university of technology," in Proceedings of the 2012 InternationalConference on Industrial Engineering and Operations Management, 2012, pp. 211–220.[18] R. K. B
for foursemesters. One of the courses from the Civil and Environmental Engineering curriculum,Introduction to Environmental Engineering was used to verify whether in-class problem-solvingactivities help students learn and improve their overall course grades. Problem-solving in the classas a part of course delivery was conducted on each topic of the course. At the end of the semester,a survey with three Likert-scale questions for three perception scenarios was conducted, and thedata was analyzed to determine the students’ perceptions and attitudes about the activities in termsof their learning experience and performance. The final grades were also analyzed statistically andcompared with previous similar semesters’ final grades to predict the
Paper ID #40621Fostering Success in Introductory Calculus through Peer-Led TeamLearning (PLTL)Dr. Karen D Alfrey, Indiana University - Purdue University Indianapolis Karen Alfrey is a Clinical Associate Professor in Biomedical Engineering and Associate Dean for Un- dergraduate Academic Affairs and Programs in the School of Engineering and Technology at IUPUI. Her interests include strategies for helping engineering students develop strong mathematical and analytical skills as well as fostering equity and belonging in the classroom. She has been a member of ASEE since 2003.Dr. Jeffrey Watt,Christine Krull 14th Annual First
exercises have been developed and are being regularly used. With thehelp of these devices we can provide labs which address many of the core concepts being taughtin the, but some important concepts have not yet been addressed. This paper gives a briefoverview of the current exercises. It then describes new equipment which should begin to beintegrated into the current lab curriculum in fall of 2020. An internally funded undergraduateresearch grant has provided some funds for student assistance on this project.Introduction:The thermal and fluid sciences lab for Mechanical Engineering Technology students at [name ofuniversity] has been evolving over the last few years to include not only existing exercises, butalso to include a series of newer
: Do the students view the group processing exercises as useful or effective?Course ContextIn a first-year engineering course at a Midwestern university, students design prototypes for atarget client. The course is structured to provide students with support to guide their design andbuilding process. However, the students often need timely guidance to resolve issues with teamfunctioning. Built into the course curriculum are required meetings between student teammembers and discussions about equitable division of labor. However, while the instructor is theprimary resource for solving internal team conflicts, the instructor may not be privy to theinternal dynamics of all student teams.InterventionThis study aimed to introduce a new team
competency by interventions, counseling, pedagogy, and tool selection (such as how to use CATME Team-Maker to form inclusive and diversified teams) to promote DEI. In addition, he also works on many research-to-practice projects to enhance educational technology usage in engineering classrooms and educational research by various methods, such as natural language processing. In addition, he is also interested in the learning experiences of international students. Siqing also works as the technical development and support manager at the CATME research group.Andrew Katz (Assistant Professor)Christopher Greg BrintonMatthew W. Ohland (Dale and Suzi Gallagher Professor of EngineeringEducation) Matthew W. Ohland is Associate Head
Communications (CAD) course at amedium-sized private institution in the southeastern United States. Enrollment in the course was90 students spread across 4 sections. All sections received the same treatment.Course StructureThe course was designed using the ILEARN flipped-classroom framework, a modularscaffolding framework co-developed by the author. The ILEARN framework divides coursecontent into six weekly components described in Table 1. Two additional summative “-ed”categories (making it the ILEARNed framework) were added to incorporate the final projectmore fully into the course. Table 1. ILEARN Components Component Description Percent of course grade Introduction Learning
Development of Environmental Data Acquisition System Enhances Student Learning in Undergraduate Engineering Courses,”, 2015 ASEE Annual Conference Proceedings, Seattle, WA, 2015. Paper No. 11520. [4] D. A. Kolb, Experiential Learning: Experience as the Source of Learning and Development, Prentice Hall, Englewood Cliffs, NJ, 1984. [5] J. N. Harb, S. O. Durrant, and R. E. Terry, “Use of the Kolb Learning Cycle and the 4MAT System in Engineering Education,” Journal of Engineering Education, 82, 70-77, 1993. [6] J. N. Harb, R. E. Terry, P. K. Hurt, and K. J. Williamson, Teaching Through the Cycle: Application of Learning Style Theory to Engineering Education at Brigham Young University, 2nd Edition, Brigham Young
. concluded that automated machine learning methodscan be highly effective at predicting student performance and providing administration with earlyintervention options for higher risk students.Yehuala [10] analyzed factors affecting student success with a dataset of around eleven thousandundergraduate students. Using the classification rule generation process based on the decisiontree and Bayes, Yehuala found that gender, number of students in a class, number of coursesprovided in a semester and field of study are the main factors that affect student performance.The results provided constructive recommendation to class planners to structure curriculum thatwill maximize student success [10].Jiao et al. [11] used genetic programming to develop
revolved around Squeaky becoming extremely illresulting in his temperature rising so high that his DNA broke down into the basic DNAcomponents called deoxyribonucleotides (a sequence of those make a gene for a physicalability or characteristic). It was said that poor Squeaky had developed BEST FEVER.So to rescue his health, biorobots were injected inside his blood vessels to sort out theseDNA deoxyribonucleotides and PCR primers (DNA repairing components) from a poolof dislocated deoxyribonucleotides. Along with picking up these items, the biorobotsalso picked up a “hidden gene,” which was a special gene that could give Squeaky aneverlasting life. Thus, based on this theme, the game was set. A donut shaped game field(made out of plywood with an
introductory courses in semiconductor physics.Studies of introductory semiconductor courses have indicated that geometries, geometry-dependent properties of crystals, and an analysis of electrical, thermal, optical, orchemical energies in the electronics world, are among the common topics taught inintroductory courses in semiconductor physics. A review of available software tools forteaching and learning semiconductor geometries indicates that there is a lack of highlyeffective visualization methodologies for commonly used semiconductor materialstructures. The purpose of this paper is to describe a virtual environment tutorial that hasbeen developed to supplement a typical course in semiconductor physics
investigator for the KEEN Entrepreneurship Program development grants to foster the spirit of innovation in all en- gineering students. Condoor has authored several books. Titles include Innovative Conceptual Design, Engineering Statics, and Modeling with ProEngineer. He has published several technical papers on topics focused on conceptual design, design principles, cognitive science as applied to design, and design edu- cation. VayuWind, a hubless wind turbine for urban environments, is one of his inventions. VayuWind deploys airfoils parallel to the rotational axis in such a way that, unlike other windmills, it rotates around a ring frame, leaving the central portion open for other uses. This enables VayuWind to extract
inform the development of evidence-based interventions to promote retention and student success in engineering. Her fields of technical expertise include process modeling, simulation, and process control.Dr. Keith B. Lyle, University of LouisvilleDr. Jason Immekus, University of Louisville Dr. Immekus is associate professor in the Department of Educational Leadership, Evaluation, and Orga- nizational Development. American c Society for Engineering Education, 2021Introducing desirable difficulty in engineering mathematics with spaced retrieval practice NSF Award #1912253
Academy of Arts and Science. Dr. Horowitz’s research interests are quite broad and span using EE and CS analysis methods to problems in molecular biology to creating new design methodologies for analog and digital VLSI circuits.Mr. Atindra Jha, Stanford University Atindra is an undergraduate student at Stanford University pursuing Computer Science and Mathematics. He works under the guidance of Dr. Mark Horowitz and Amy Fritz, aiding their electrical engineering education research. American c Society for Engineering Education, 2021 Online, Interactive Tool for Studying How Students Troubleshoot CircuitsAbstractWe have developed a new tool to look at how
Michigan. She enjoys serving as a ”communication coach” to students throughout the curriculum, and she’s especially excited to work with first year and senior students, as well as engineering project teams, as they navigate the more open-ended communication decisions involved in describing the products of open-ended design scenarios. She is also one of the faculty innovators behind Tandem, a tool to support teams with equity in teamwork. American c Society for Engineering Education, 2021Proof of Concept: An Algorithm for Consideration of Students’ Personalities in Team FormationAbstractTeam-based pedagogy is common across engineering
column (the maximum grade is the total number of badgesavailable). In the comment section, the instructor adds the recently earned badge name. Thestudents are encouraged to write (or draw) each badge earned onto their name signs.Below are the specific EM/KEEN course objectives [3] that students will gain with throughoutthe course if you implement this type of system. KEEN Related Course Outcomes/Learning Objectives [3]: • Develop an appreciation of hard work & recognize the benefits of focused and fervent effort • Accept responsibility of their own actions and credit the action of others • Demonstrate an ability to set, evaluate, and achieve personal & professional goals • Be able to teach and learn from peers
requisite skills and knowledge to support studentlearning and accomplish associated outcomes. Many studies urge online classes to be moreengaging and collaborative to provide a compatible alternative to in-person settings. Studies haveexplored, and many confirmed the importance of active learning in different fields. Severalinstructors have implemented active learning in their in-person classrooms, while only a fewlooked at such techniques in virtual environments. In an effort to address the gap in the literature,the authors developed an experiment that involved fifteen students who participated in aworkshop covering fundamental concepts in construction scheduling. Participants were from twodifferent institutions. They were split into two groups
Empowering Undergraduates to Design and Conduct Experiments and Attain Outcome 3b of the ABET Engineering Criteria Beckry Abdel-Magid Department of Composite Materials Engineering, Winona State University, Winona, MN 55987. Beckry@winona.eduAbstractTwo approaches of incorporating design of experiments in an undergraduate laboratory courseare presented in this paper. The first approach consisted of a semi-structured design ofexperiment project with prescribed experimental procedure, and the second approach consistedof an open-ended design project where students had to develop, justify and execute anexperimental program. Comparison and contrast
Paper ID #33245A Comparative Study of the Impact of COVID-19 Pandemic on StudentParticipation and Performance in First-Year Engineering CoursesDr. Ashish D. Borgaonkar, New Jersey Institute of Technology Dr. Ashish Borgaonkar works as Asst. Professor of Engineering Education at the New Jersey Institute of Technology’s Newark College of Engineering located in Newark, New Jersey. He has developed and taught several engineering courses primarily in first-year engineering, civil and environmental engineer- ing, and general engineering. He has won multiple awards for excellence in instruction; most recently the Saul K. Fenster
unrealistic. To address the problem, we developed a novel virtual lab environmentthat sheds light on computer networking by showing students components of typical computernetworks with both hosts and backbone infrastructure using Wireshark and Mininet. The tools weutilized are a packet sniffer and emulated networking testbed. Even though students do notphysically build a computer network as was done in the real lab, they still got insights into apacket’s journey from a source host through routers before getting to the destination host. Ourdata analyses provided the information about the perceptions of these tools for online computernetwork laboratory from students’ perspectives and its associated factors.1 IntroductionThe computer networking
Group, Inc., a specialty consulting firm with a focus in process safety, chemical security and emergency management. Outside of UMD, Catherine can be found at her alma mater Elizabeth Seton High School, where she serves on the Strategic Planning Committee and helps with their blooming engineering program.Prof. W. Ethan Eagle, University of Maryland Dr. Eagle is a professor of practice in engineering and innovation design. His curriculum design for in- novation, co-developed by and building on the research of Jeff and Staney DeGraff, was adopted by the University of Michigan ’Certified Professional Innovator’ program in 2014, one of the first such certifi- cations in the country. Now a faculty member in the Keystone
Outcomes / Learning ObjectivesThis course development is being supported by an internal KEEN Pedagogy Mini-Grant fromOhio Northern University. KEEN is a network of engineering faculty across many educationalinstitutions dedicated to teaching undergraduate engineers how to create personal, economic, andsocietal value by having an entrepreneurial mindset [2 and 3]. The student generated content forthis course, peer feedback, improvement video, and self-reflections are designed to assiststudents in improving their entrepreneurial mindset. Below are the specific KEEN courseobjectives [4] that students will gain with the completion of the assignments. KEEN Related Course Outcomes/Learning Objectives [4]: • Take ownership of, and express interest
Thermo; HT:Heat Transfer; MT: Mass Transfer; FM: Fluid Mechanics; RE: Reaction Engineering; MS: MaterialScience; PC: Process Control.In order to address the second research question, Are students reflective about the review material?,mean values for Q6 were calculated and are shown in Table 2. The means show that students’reflective (metacognitive) processing exceeded a neutral value of 3 during each of the review weeks.These findings suggest that students engaged in significant levels of reflective thinking whilesolving the FE review problems. Reflecting on the process of solving problems has long beenconsidered indicative of growth and development with a domain, as well as an ultimatecharacteristic of expert problem solvers [5]. Visual
practice in engineering and innovation design. His curriculum design for in- novation, co-developed by and building on the research of Jeff and Staney DeGraff, was adopted by the University of Michigan ’Certified Professional Innovator’ program in 2014, one of the first such certifi- cations in the country. Now a faculty member in the Keysone Program at the University of Maryland, Dr. Eagle’s current work is on the integration of diverse perspectives to discover unique engineering de- sign spaces and on the development of multi-disciplinary courses that bring together students of multiple colleges and/or universities to perform design and practice innovation. American