Model of Domain Learning(MDL) to better suit their specific courses. Students can then use the web interface to evaluateboth themselves and fellow team members. After students complete their evaluations, instructorsare able to view the results through the system’s reports and can formulate an individual gradefor each student. More importantly, instructors also have the ability to send the students feedbackand automatically include anonymous reviews from other team members. The reports show theinstructor where the students’ skills may be lacking. The preliminary results from a pilot studyare discussed.Spring 2015 Mid-Atlantic ASEE Conference, April 10-11, 2015 Villanova UniversityI. IntroductionIn engineering and information technology programs
performed on the data collected.Acknowledgement This material is based upon work supported by the National Science Foundation under GrantNo. 0837643.References1. R. M. Felder & L. K. Silverman, “Learning and Teaching Styles in Engineering Education,” Engineering Education, v. 78, n. 7, pp. 674-681, 1988.2. R. E. Mayer, “Cognitive Theory and the Design of Multimedia Instruction: An Example of the Two-Way Street Between Cognition and Instruction,” New Directions for Teaching and Learning, pp. 55-71, Spring 2002.3. A. D. Baddeley, Essentials of Human Memory, Hove, England: Psychology Press, 1999.4. Adobe, Inc., “Flash Product Page,” 5. R. M. Felder, “Index of Learning Styles
Science lessons. This study seeks to examine novice andspecifically non-major experiences with a Program Visualization through qualitativemeasures.3 Course and VisualizationsThis university’s Computational Thinking course is designed as an opportunity for students withno previous computing background to gain an understanding of CS fundamentals. Students usethe block-based programming environment, BlockPy, to practice basics concepts likeconditionals, abstraction, and iteration.A study in Spring 2018 showed that, compared with other topics taught, students were strugglingwith iteration. Jien Chon created interactive visualizations in an effort to help students’understanding of iteration. These visualizations were designed with three goals: be
– Should Students Do Them or Design Them?”, Chemical EngineeringEducation, vol 29, no. w, 1995, p. 34.vi Macias-Machin, A., Guotai Zhang, and Octave Levenspiel, “The Unstructured Student-Designed Research Typeof Laboratory Experiment”, Chemical Engineering Education, vol. 24, no. 2, 1990, pp. 78-79.vii Dym, C.L., A.M. Agogino, O. Eris, D.D. Frey, and L.J. Leifer, “Engineering design thinking, teaching andlearning”, Journal of Engineering Education, vol. 94, no. 1, 2005, 103-120viii ABET, 2009-2010 Criteria for Accrediting Engineering Programs, 2008ix Northeastern University, ABET Self Study Report for Mechanical Engineering, 2007
mentoring.Giovanni Bautista, University of Massachusetts, LowellDr. Yanfen Li, University of Massachusetts, Lowell Dr. Yanfen Li is an Assistant Professor in Biomedical Engineering at the University of Massachusetts Lowell. She received her Ph.D. in Bioengineering from the University of Illinois at Urbana Champaign in 2018. Dr. Li has extensive experience in engineering education focusing on recruitment and retention of underrepresented and under resourced students and engineering pedagogy. Her work spans the areas of curriculum instruction and design, program design and evaluation, and the first-year college experience. ©American Society for Engineering Education, 2023 A Systematic Review of Instruments
, Harvey, Shelters from Tepee to Igloo.[6] Wiese, Jim, Roller Coaster Science: 50 Wet, Wacky, Wild, Dizzy Experiments About Things Kids Like Best, Page 5.124.5Wiley, 1994.LAURA J. BOTTOMLEY is the Director of the Women in Engineering and Outreach Programs and an AdjunctAssistant Professor of Electrical and Computer Engineering at North Carolina State University. She received herBSEE and MSEE degrees from Virginia Tech and her Ph. D. from North Carolina State University. She has workedat AT&T Bell Laboratories and Duke University.ELIZABETH A. PARRY received her BS degree in Engineering Management from the University of Missouri,Rolla
Paper ID #31635Applications of Linear Algebra applied to Big Data AnalyticsDr. Rajendran Swamidurai, Alabama State University Dr. Rajendran Swamidurai is an Associate Professor of Computer Science at Alabama State University. He received his BE in 1992 and ME in 1998 from the University of Madras, and PhD in Computer Science and Software Engineering from Auburn University in 2009. He is an IEEE senior Member.Dr. Cadavious M Jones, Dr. Cadavious M. Jones is an Associate Professor of Mathematics at Alabama State University. He received his BS in 2006 and MS in 2008 from Alabama State University, and PhD in Mathematics
DC motors, one Mercedes hassixty! Skilled technicians and engineers are needed to design, develop, install, controland service these motors. Back in Connecticut, local industry protests loudly when theycannot find new employees that understand motors.II. Perspective While preparing my notes for the 1998 ASEE National Conference I realized that all new work in all fields from Anthropology to Zoology follows a process which has the same fundamental steps:a.) PROBLEM: Recognizing and identifying a need for answers to a new situation or the needfor further development of a field of study.b.) DESIGN: Defining the experimental apparatus and procedures to accomplish the desiredresult. This may involve standard instruments and apparatus or
undergraduate aerospace engineering program”, in Proceedings of the American Society for Engineering Education 12th Annual Conference & Exposition, Seattle, WA, June 2015. [5] B. Bargel, J. Schrock, D. Szentes, and W. Roller, “Using learning maps for visualization of adaptive learning path components”, International Journal of Computer Information Systems and Industrial Management Applications, vol. 4, pp. 228–235, 2012. [6] A. Battou, C. Mezouary, C. Cherkaoui, and D. Mammass, “Towards an adaptive learning system architecture based on a granular learning object framework”, International Journal of Computer Applications, vol. 32, no. 5, pp. 8–14, 2011. [7] J.A. Collins, J.E. Greer, and S.X. Huang, “Adaptive assessment using
Fritz Hillman, University of Puerto Rico, Mayaguez Campus Edward Hillman is a recent BSc mechanical engineering graduate from the University of Puerto Rico, Mayag¨uez Campus. During his Bachelor’s he studied the mechanical characterization of full culm bam- boo and worked as a systems engineering intern at Lockheed Martin. He plans to pursue a graduate degree in his field of Mechanical Engineering with an interest in Mechatronic system design.Mr. Gerald Luciano Figueroa, University of Puerto Rico, Mayaguez Campus Gerald L. Figueroa is an artist and graphics designer, currently expanding his skillset while pursuing a bachelor’s degree in Mechanical Engineering. Gerald has always been engaged in diverse projects which
transfer. His expertise ranges from wireless sensor networking and pervasive comput- ing to business-IT alignment, enterprise architecture, software engineering, e-Government, collaborative environments and work-management systems. He teaches software engineering at OSU and is involved in industry-relevant and inter-disciplinary curriculum development initiatives. Dr. Ramnath received his Doctorate and Master’s degrees in Computer Science from OSU and his Bachelor’s degree in Electrical Engineering from the Indian Institute of Technology. Page 24.1395.1 c American Society for Engineering
programs. She is the Di- rector of the Integrated STEM Education Research Center (ISERC) and the Director of Louisiana Tech’s Office for Women in Science and Engineering (OWISE). She earned her Ph.D. in Mathematics and M.S. in Mathematics at Virginia Tech, Blacksburg, VA. Her research interests include distributed parameter control modeling and simulation, dynamic modeling of physical systems, and STEM education. She has published 20 peer-reviewed publications in these areas, and her research has been funded by the NSF, AFRL, and LA-BOR. She also serves as an Associate Editor for the American Control Conference and the Conference on Decision and Control, two premier conferences in the controls community. She is a
Paper ID #38181Mobile App: A Boost in Math Learning MotivationLuz Maria Gregoria Gonzalez Canales, Tecnologico de Monterrey, Mexico Luz Maria Gregoria Gonzalez Canales is a high school math teacher at Tecnologico de Monterrey. She teaches Algebra, Trigonometry, Pre-Calculus and Calculus courses.Yolanda Martinez-Trevino, Tecnologico de Monterrey, Mexico Yolanda Martinez Trevino is a professor in the Computer Science Department of Tecnologico de Monter- rey. She teaches programming courses including the introductory programming course, Object Oriented Programming and Mobile Programming for iOS using Swift. She is interested in
, Female) Repeat Student Participants (New Student, Repeat Student) Repeat Advisor Participation (New Advisor, Repeat Advisor) Challenge (Behavior, Biofuels, Design, Technology) Student Grade Level (9, 10, 11, 12) Project Setting (Class, Extracurricular) Advisor Teaching Subject (STEM, Non-STEM)**STEM is an acronym for Science, Technology, Engineering, and Math.ResultsReliabilityConsistency evaluation was carried out using Kendall’s coefficient of concordance on integernumber scores. The result for all five raters was 0.606. This indicates moderate to substantialagreement, but is lower than the value of Spearman’s rho for agreement between the two ratersevaluating posters in the previous assessment2 (0.818). The direct
Paper ID #40996Board 320: Integrating Playful Learning: A Mixed-Reality Approach to EnhanceComputational Thinking in Young LearnersDr. Jaejin Hwang, Northern Illinois University Dr. Jaejin Hwang, is an Associate Professor of Industrial and Systems Engineering at NIU. His expertise lies in physical ergonomics and occupational biomechanics and exposure assessment. His representative works include the design of VR/AR user interfaces to minimize the physical and cognitive demands of users. He specializes in the measurements of bodily movement as well as muscle activity and intensity to assess the responses to physical and
STEM courses can help students developcultural awareness as well as strategies to navigate the differences effectively.Keywords: undergraduate students, STEM, intercultural competenceIntroduction and BackgroundIn this era of the 21st century, science, technology, engineering, and mathematics (STEM)education has gained paramount significance. Projections indicate that the U.S. economy willwitness an addition of approximately 1.4 million STEM-related jobs by the year 2030 [1].Notably, the median wage for STEM occupations is roughly double that of other professions inthe economy. Consequently, higher education institutions advocate for increased enrollment inSTEM programs. The increasing globalization of the workforce and the collaborative nature
Jigsaw Learning Against a Traditional Lecture, Proceedings of the ASEE Middle Atlantic Section Fall 2011 Conference, Temple University, PA http://www.asee.org/papers-and- publications/papers/section-proceedings/middle-atlantic/Fall_2011.pdf8 Slavin, R., Learning to Cooperate, Cooperating to Learn, International association for the Study of Cooperation in Education, 19859 Criteria for Evaluating Engineering Technology Programs, ABET, 2011-2012 http://www.abet.org/Linked%20Documents-UPDATE/Criteria%20and%20PP/T001%2010- 11%20TAC%20Criteria%2011-3-09.pdf10 American Society of Engineering Education (ASEE) Green Report – “Engineering Education in a Changing World.” 1994 www.asee.orgASEE Middle Atlantic Section Spring 2012 Conference
13 773 3 Object-Oriented Programming F2F, ONL, VTL 20 10 607 4 Computational Structures F2F, ONL, VTL 26 7 562 5 Client Side Web Development F2F, ONL, VTL 25 7 565 6 Data Structures & Algorithms F2F, ONL, VTL 19 5 532 7 Software Engineering I F2F, ONL, VTL 23 5 497 8 Database Design & SQL F2F, ONL 40 8 843 9 Network Fundamentals F2F, ONL 20 3 509 10 Computer Architecture F2F, ONL 21 5
for Engineering Education, 2015 Achieving High Functioning Teams Using Team-Based Learning in Flipped Classrooms Abstract Achieving high functioning teams is essential for successfully implementing flipped classroomsmethods relying on collaborative learning. Team-Based Learning is a unique approach toflipping a classroom because of its prescribed framework. This paper provides quantitative andqualitative data showing that teams are high functioning and high performing yet minimalinstructor guidance and intervention is required when Team-Based Learning is used inmechanical engineering courses. Introduction From lab to design courses to group projects in general education or major courses, students
, weresignificantly better14. Page 24.1207.7Research MethodsAt the outset of this project various research study designs were considered, and it was decidedto use a mixed-methods approach with the control and treatment groups being cohorts ofdifferent years (control – 2012, and treatment – 2013). The reason for this was that it washypothesized that the two cohorts would have very similar characteristics and academic abilitiesgiven that the design was focused around a core course in the second year of a fixed program (atthis institution within this engineering department the courses over the first two years are fixed.)Over the two years a series of data were
on projects utilizing neural networks for predicting fatigue life and implementing Six Sigma for the development of torque standards. Her teaching interests include robotics, engineering statistics, quality assurance, and Six Sigma.Dr. Garth V Crosby, Southern Illinois University Carbondale Dr. Garth V. Crosby is an assistant professor in the Technology Department at Southern Illinois University Carbondale. He obtained his M.S. and Ph.D. degrees from Florida International University in Computer Engineering and Electrical Engineering, respectively. Dr. Crosby’s primary interests of research are wire- less networks, wireless sensor networks, network security and active learning strategies for STEM. He has served as
Carolina University, in 2005. He is currently pursuing his Ph.D. degree in technology management at Indiana State University, Terre Haute, IN. From 2004 to 2006 he worked as a Graduate Assistant with the Global Academic Initiatives program. Since 2006, he has been a Technology Support Specialist with the Information Technology and Computer Services Department at East Carolina University. His research interests include IPv6 adoption, VoIP PBX systems, and utilizing translation technologies residing in virtualized environments. Mr. Southworth is a member of the Association of Technology Management and Applied Engineering (ATMAE) and the Honor Society of Phi Kappa Phi and received the Certificate of Appreciation for lead
- tors of in-person, online, and hybrid format classes. Melissa continues to serve as a teaching consultant with CTL and focuses on projects relating to equity. American c Society for Engineering Education, 2021 Revolutionizing Grading: Implications on Power, Agency, and EquityAbstractEven as we integrate inclusive teaching strategies and course design, the philosophy andimplementation of grading continues to be a large source of inequity in higher education. Gradessignal to students whether they belong within a course or degree major and dictate access toacademic and career opportunities. Consequently, even in a classroom
students in an introductory programming coursereveal the potential of conversational LLMs to offer early warnings about students at risk, therebyfacilitating timely interventions. The findings suggest that while fine-tuning could furtherimprove performance, our training-free approach presents a valuable tool for educators andinstitutions facing resource constraints. The inclusion of broader feature dimensions and thestrategic design of cognitive assessments emerge as key factors in maximizing the zero-shotefficacy of LLMs for educational forecasting. Our work underscores the significant opportunitiesfor leveraging conversational LLMs in educational settings and sets the stage for futureadvancements in personalized, data-driven student
the following when asked if theyfelt the lab prepared them for a real-world etching lab:“I feel ready to try the same thing in the real lab.”“Yes”ConclusionUnderstanding how the plasma etching process is performed is a needed skill in the ever-growingsphere of nanomanufacturing and nanotechnology. By creating a VR simulation of the plasmaetching process UVU facilitates more opportunities for student learning at a manageable cost.This program also enables students to learn and practice etching fundamentals in a safe, risk-freeenvironment without sacrificing practical experience. Thereby affording students the opportunityto increase in understanding and innovate upon what they’ve learned. They gain appreciation forthe tools involved in plasma
Florida International University (FIU). Her research interests span the fields of Computing and Engineer- ing Education, Human Computer Interaction, Data Science, and Machine Learning. Previously, Stephanie received her B.S. and M.S. degrees in Neuroscience from the University of Miami, in addition to B.S. and M.S. degrees in Computer Science from FIU.Dr. Monique S. Ross, Florida International University Monique Ross, Assistant Professor in the School of Computing and Information Sciences and STEM Transformation Institute at Florida International University, designs research focused on broadening par- ticipation in computer science through the exploration of: 1) race, gender, and disciplinary identity; 2) discipline
. For last one year, his research focused primarily onthe modeling and simulation of wide range parallel/distributed systems and the web based training applications.Syed Rizvi is the author of 15 scholarly publications in various areas. His current research focuses on the design,implementation and comparisons of algorithms in the areas of multiuser communications, multipath signalsdetection, multi-access interference estimation, computational complexity and combinatorial optimization ofmultiuser receivers, peer-to-peer networking, and reconfigurable coprocessor and FPGA based architectures.AASIA RIASAT is an Associate Professor of Computer Science at Collage of Business Management (CBM) sinceMay 2006. She received an M.S.C. in Computer Science
systems; by classifying targets, a system canProceedings of the 2012 Midwest Section Conference of the American Society for Engineering Education 2discriminately choose which targets should be observed closely, and tracking and other analysescan be improved. Traffic management, perimeter security, infrastructure monitoring, publicsafety, driver assistance, and wildlife observation are examples of scenarios in which suchabilities are useful. Such systems have the greatest potential if sensors are distributed throughoutan environment—a constraint that prohibits the use of large computers, and encourages thedeployment of small, dedicated, embedded
AC 2011-1877: ASSESSING THE IMPACT OF A BIOMETRICS COURSEON STUDENTS’ DIGITAL SIGNAL PROCESSING KNOWLEDGEShane F. Cotter, Union College Shane Cotter is an Assistant Professor in the Department of Electrical and Computer Engineering at Union College. He received his undergraduate degree (with first class honors) from University College Dublin in 1994. He received the M.S. and Ph.D. degrees in Electrical Engineering with an emphasis on Digital Signal Processing from the Univerity of California at San Diego in 1998 and 2001 respectively. He worked at Nokia Mobile Phones as a senior design engineer between 2002 and 2004. In 2004-05, he worked as a visiting assistant professor at the University of Miami, Coral Gables. In
learn a newtopic from online videos. Students complete a JiTT quiz before lecture for assessment, and toensure they watch the videos. Questions are reused from CON homework sets, but theassignments are less complex: ten to twenty MC and up to three free response questions. UnlikeCON, the instructor varies the daily topic based on JiTT results. JiTT quizzes are worth 5% of astudent’s overall grade. During lecture, students apply knowledge with peer-instruction. We usepair programming, a software engineering paradigm where one person is the driver and the otheris the navigator. The driver focuses on the problem and writes/codes. The navigator reads ahead,manages time, and validates. The driver and navigator get the same grade. The