-contained module approach was selectedbased on literature supporting scenario based learning. The intent of the self-contained modules is tohave all necessary materials to teach and assess a particular code topic developed and packaged withnotes that faculty can follow without need to generate materials themselves. Here, at the departmentlevel the modules were created then are able to be distributed where applicable to those faculty andcourses relevant to the IBC. “Module” is used to describe each grouping of code-related content, based on its ability to beindependently used and adopted within a curriculum. Alternatively, back-to-back topics could betaught together that would result in a 3 credit upper level undergraduate technical elective
Outcomes Question Number 1 I am able to search materials and materials a, c Q1 identification (non-metals), testing standards, and testing method using library resources and internets. 2 I am able to understand the materials specifications a, c, d Q2 and characterize the properties of non-metals for design specifications. 3 I am able to identify and select proper materials for a, b, d Q3 product design using technical information and resources. 4 I am able to analyze the lab experimental results and a, b, c, g, h Q4 to write
importantareas of the first eight chapters [2]. We also suggested students use “A MathematicalIntroduction to. Robotic Manipulation” as a supplementary text to the “Modern Robotics”textbook. Appendix A, Lie Groups and Robotic Kinematics of the textbook gives a rigorousintroduction to Lie and algebra [3]-[5].The “Modern Robotics” text book covers Lie groups and algebra as well as associatedexponential mathematics (see Table 1): Lie Group Lie Algebra SO(2) so(2) SE(2) se(2) SO(3) so(3) SE(3) se(3)Quaternions and Euler angles mathematics is covered in Lab 5 of the course.We flipped the Lectures for chapters 2 through 8 with the students viewing the videos and doingthe homework assignments. Class time for chapters 2
directions, “parallel” and “perpendicular” to the long-axisActivity logistics of the cup.Students were provided with safetyglasses, scissors, markers, and digitalcalipers. A selection of clear, 12-oz.,PETE disposable cups was purchasedfrom a local grocery store and provided tothe students. Students cut specimens fromthe walls of the cups (Figure 3), usingtemplates adapted from ASTM standards,included in Appendix A.7 Specimens were Figure 3: Students cutting specimens from the PETE cups and loading specimens into the tensile testing machine.oriented parallel and perpendicular to the long-axis (height) of the cup. After measuring thedimensions and labeling
- mental and Food Engineering Department, Universidad de las Americas, Puebla, M´exico. Her teaching experience is in the area of Process Dynamics and Control, Kinetics, Catalysis and Reactor Design. She did her undergraduate studies in Chemical Engineering at the Universidad Aut´onoma de Tlaxcala, M´exico, and his Master and Doctoral studies at the Instituto Tecnol´ogico de Celaya, M´exico. Her research interests are in the field of Process Systems Engineering, Bioprocess ModelIing and Engineering Education. Her research labor has been reported on scientific international journals and presented in different national and international conferences.Prof. Aurelio Lopez-Malo, Universidad de las Americas Puebla Aurelio L
Disorders, vol. 13, no. 3, pp. 234-250, 2009, doi: 10.1177/1087054709340650.[4] J. Delisle and C. M. J. Braun, “A context for normalizing impulsiveness at work for adults with Attention Deficit/Hyperactivity Disorder (combined type),” Archives of Clinical Neuropsychology, vol. 26, no. 7, pp. 602-613, 2011, doi: 10.1093/arclin/acr043.[5] S. Mahdi et al., “An international qualitative study of ability and disability in ADHD using the WHO-ICF framework,” European Child & Adolescent Psychiatry, vol. 26, no. 10, pp. 1219-1231, 2017, doi: 10.1007/s00787-017-0983-1.[6] J. A. Sedgwick, A. Merwood, and P. Asherson, “The positive aspects of attention deficit hyperactivity disorder: A qualitative investigation of
Duration # of Sessions Grade Activities/Topics LevelFriday Academy 3-4 hours 10-11 Middle Engineering Design Principle, Lego(Spring and Fall) Grade only Robotics “Mission to Mars” Challenge, (6-8 grade) sensors, renewable energy, basic electronic circuits, sensor, interaction with scientist, visiting research labSaturday 3-4 hours 10-11 Middle and Robotics, computer programming, ArduinoAcademy
Videos with Concept Re- Laboratory (each week) Lectures and views Three Graded Programming 3 worked exam- Q/A Sessions Assignments ples. Worked Exam- Automatically graded online Closed-Ended ples programming activities Quizzes. Group Pro- Forum Partici- gramming As- pation. signments ERT None Concept Re- Two Graded Programming views
Paper ID #21452Exploration and Innovation in Creative Material EducationDr. Robert A Heard, Carnegie Mellon University Dr. Heard holds a Teaching Professor in the Materials Science and Engineering Department at Carnegie Mellon University. Past work includes activities as an industrial consultant, entrepreneur/president of two companies, and vice president positions in several engineering companies. His experience lies largely in the development and application of specialized new technologies and business opportunities, having significant international business and project experience. He has served on the Board of
in Science, Technology, Engineering, and Mathematics. Report to the President. Executive Office of the President.Pyzdrowski, L. J., Sun, Y., Curtis, R., Miller, D., Winn, G., & Hensel, R. A. M. (2013). Readiness and attitudes as indicators for success in college calculus. International Journal of Science and Mathematics Education, 11(3), 529–554.Seymour, E., & Hewitt, N. (1997). Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview.Suresh, R. (2006). The Relationship Between Barrier Courses and Persistence in Engineering. Journal of College Student Retention: Research, Theory and Practice, 8(2), 215–239. http://doi.org/10.2190/3QTU-6EEL-HQHF-XYF0Wasley, P. (2006
ofEnergy needs solids, optical properties materials fora team with energy- LEDs industry partner input.Table 2: Content Alignment with Laboratory Objectives based on ABET aligned laboratories.This new frame provides the basis for development of individual activities aligned to bestpractices. These are shown later in Table 3. Each activity has a first week “kickoff session”where students are introduced to the design challenge and have a speaker, industry “client”, orprofessor to introduce the materials issue aligned with the challenge. Each of these entitiesbecomes an outside resource who helps teams meet constraints and criteria for
. S., & Williams, J. G., “Thermal-Hydraulic Design of the B&W mPower SMR,” The 15th International Topical Meeting on Nuclear Reactor Thermal – Hydraulics (NURETH-15), Pisa, Italy, May 12-17, 2013.2. Martin, R. P., Miller, J. K., & O’brien, J. E.. “A Scaling-based Applicability Assessment of the CAER Integrated Systems Test Facility.” BWX Technologies Inc. and Idaho National Laboratory. (n.d.).3. Ishii, M., Kataoka, I., “Scaling criteria for LWR’s under single phase and two-phase natural circulation,” Proceedings of the Joint NRC/ANS Meeting on Basic Thermal Hydraulic Mechanisms in LWR Analysis, NUREG/CP-0043, Bethesda, MD, (1982).4. Ishii, M., Kataoka, I., “Similarity and scaling criteria for LWR’s under single-phase
Paper ID #40053Carbon Emissions Reduction From Our Daily Lives: Introduction ofBioreactors into Large StructuresMr. Daniel Kelly Green, Salt Lake Community College HVAC professional trying to make the world greener as I journey into academia .Dr. Nick M. Safai, Salt Lake Community College Dr. Nick M. Safai is an ASEE Fellow. He has been an ASEE officer and member for the past 30+ years. He has been elected as the ASEE ID division chair two terms, the six-time elected as the Program Chair of the ASEE International Division for approximately the past 15 years. Three times as the Program Chair for Graduate Studies Division
award.Prof. Robert Maass, University of Illinois, Urbana-Champaign, Department of Materials Science and Engi-neering Robert Maass received a triple diploma in Materials Science and Engineering from the Institut National Polytechnique de Lorraine (INPL-EEIGM, France), Lule˚a Technical University (Sweden) and Saarland University (Germany) in 2005. In 2009, he obtained his PhD from the Materials Science Department at ´ the Ecole Polytechnique F´ed´erale de Lausanne (EPFL) in Switzerland. During his doctoral work, Robert designed and built an in-situ micro-compression set-up that he used to study small-scale plasticity with time-resolved Laue diffraction at the Swiss Light Source. From 2009-2011 he worked as a
. Journal ofEducational Psychology, 93(3), 604.Sorby, S. A. (2001). Improving the Spatial Skills of Engineering Students: Impact onGraphics Performance and Retention. Engineering Design Graphics Journal, 65(3), 31–36.Sorby, S. A. (2009). Educational Research in Developing 3-D Spatial Skills for EngineeringStudents. International Journal of Science Education, 31(3), 459–480.https://doi.org/10.1080/09500690802595839Sorby, S. A., Casey, B., Veurink, N., & Dulaney, A. (2013). The role of spatial training inimproving spatial and calculus performance in engineering students. Learning & IndividualDifferences, 26, 20–29. https://doi.org/10.1016/j.lindif.2013.03.010Sorby, S. A., & Veurink, N. (2010). Long-term Results from Spatial Skills
technical papers published in conferences and journals. He is also a senior member of IEEE. © American Society for Engineering Education, 2022 Powered by www.slayte.com SSCTrac: AI-Powered Soil Moisture Condition DetectionThe long-term common goal of high-end agrisystem is to attain sustainable and productive farmingat high standards of food quality. Water plays an important role in supplying plant nutrition and ahealthy plant root produces quality food. The rapid adoption of Artificial Intelligence (AI) anddrones see many precision farming applications such as disease detection from the image,identification of crop-readiness, farming field management
Science Education, 29(sup1):S16–S26, 2021.[3] Mohammad Yunus Naseri Niroj Aryal Gautam Biswas Abhishek Dubey Erin Henrick Erin R. Hotchkiss Manoj K. Jha Steven X. Jiang Emily C. Kern Vinod K. Lohani Landon Todd Marston Christopher P. Vanags Caitlin Snyder, Dawit M. Asamen and Kang Xia. Understanding data science instruction in multiple stem disciplines. In 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference, July 2021. ASEE Conferences. https://peer.asee.org/37955.[4] Koby Mike. Data science education: Curriculum and pedagogy. In Proceedings of the 2020 ACM Conference on International Computing Education Research, pages 324–325, 2020.[5] Data science in the real world–Andy Konwinski (Databricks). https
Competition. He has worked for United Technologies (Hamilton Sundstrand) and General Dynamics on numerous projects including International Space Station Life Support, Joint Strike Fighter Propulsion Control Systems and U.S. Army Biodefense. He received his B.S. from Vanderbilt University and his M.S. and Ph.D. in Biomedical Engineering from the University of Connecticut. Dr. Browne serves as the Chair of the Engineering Technology Division of the Southeastern Section of ASEE; he also does extensive volunteer work for the FIRST Foundation (For Inspiration and Recognition of Science and Technology).Mr. David George Vutetakis Jr, University of North Carolina, Charlotte Mr. Vutetakis is a graduate student at The University of
as three stages of learning (acquiring, consoli- dating, tuning) with two types of knowledge: declarative (stating the concept to be learned) and procedural (internalizing the concept until it becomes “muscle memory”) [13]. Natural language acquisition also has a similar model with five stages [14]. Table 3 further discusses the stages of each acquisition development model. Both models are very similar, with an emphasis on learning the basic concepts of the lan- guage, then building structures that become more complex as the learner gets accustomed to the nuances of the language, and finally achieving a peak in which proficiency is achieved by polishing the concepts that are not already
andknowledge sharing, mishaps always happen. As more people depend on online services, theybecome more exposed to these cyber-attacks. Due to the global COVID-19 pandemic, we haveseen a record-breaking number of data breaches and cyber-crimes, mainly targeting individuals,corporate industries, and government organizations. On average, every minute $2.9 million is lostto a cybercrime [1], and every 32 seconds, a hacker targets a user over the Internet [2]. Accordingto the Identity Theft Resource Center, a total of 163 million identities were exposed in 2020 [3],and around 790k Internet crime complaints were received by the Internet Crime Complaint Center(IC3) [4].Cybercrimes are on the rise, and it can be safely assumed that they will only worsen as
Paper ID #29292Using Creative Writing as a Tool for Learning Professional Developmentin Materials Science and EngineeringDr. Sabrina Starr Jedlicka, Lehigh University American c Society for Engineering Education, 2020Using Creative Writing as a Tool for Learning Professional Development in Materials Science & EngineeringAbstractCourses in professional development can be a catch-all to address student skill building in areassuch as technical writing, communication, career path reflection, and ethics. While each of theseskills is important to student development, the
the studentswill enroll. Analysis of such data will give a more definite answer on the role open-endedproblems play in improved student learning and therefore minimizes the effects of readymadesolution manuals.Bibliography 1. D. Belkin, “Exclusive Test Data: Many Colleges Fail to Improve Critical-Thinking Skills,” The Wall Street Journal, June 5, 2017. 2. N.J. Mourtos, “Challenges Students Face in Solving Open-Ended Problems,” International Journal of Engineering Education, Vol. 26, No. 4, pp. 846-859, 2010. 3. D. Adair and M. Jaeger, “Incorporating Critical Thinking into an Engineering Undergraduate Learning Environment,” International Journal of Higher Education, Vol. 5, No. 2, pp. 23-39, 2016. 4. S.R. Singer, N.R
and, as can beexpected, some troubleshooting was required during lab sessions. This caused some frustrationfor students who were mainly focused on finishing the lab.ConclusionIn this paper, we have presented the development of a new Motion Control Laboratory that aimsto 1) Prepare students to work in real-world motion control applications by providing studentswith hands-on experiences to better understand control system design ideas and concepts, 2)Expose students to electromechanical and fluid power hardware, and 3) Educate students aboutthe benefits and capabilities of fluid power and electromechanical actuation. Our pedagogicalapproach has been to provide students with hands-on experiences that use smallelectromechanical systems to get a
developmentopportunities to enhance students’ educational journey.1 For additional information about the Rising Engineering Education Faculty Experience(REEFE) visit the REEFE website [3] and publications by Hixson, Ingram, WIlliams,Matusovich, and McCord [1] and McCord, Hixson, Ingram, and McNair [2].Theoretical FrameworkThis paper’s theoretical foundation is in identity development. Identity development is acomplex construct with a variety of conceptual understandings and application. In this paper, Idiscuss identity development through Baxter Magolda’s [4-5] theory of self-authorship. In thetheory of self-authorship where they “move from socialization to rely on external authoritytoward establishing their internal authority…” [5]. The ongoing transitions occur
state that “theneed for hands-on experience is presented as overcoming the emphasis on knowing ‘that’[theory] versus knowing ‘how’ [practice].” [3] Additionally, hands-on learning goes beyondenhancing technical knowledge and skills and provides invaluable opportunities to developprofessional and interpersonal skills [4].Laboratory work has long been recognized as a crucial component of a complete undergraduateengineering experience. Laboratory work teaches students how technical knowledge is applied inpractice. Many traditional labs have been successful in this regard [5]-[7]. Yet in light of therapidly changing professional landscape, disrupted by the unprecedented accessibility ofinformation and global connectivity via the Internet, and
toRabardel’s epistemic and pragmatic mediations, we found and coined a third mediation–pedagogic mediation–by which teachers use the environment to help other team membersunderstand particular geometric objects and relations among them.Keywords: Dynamic geometry, Instrumental genesis, Mediated activities, Pedagogic mediation Technologies developed for teaching and learning mathematics are powerful andpotentially useful. One significant factor of successful integration of technology in mathematicsclassrooms is understanding how technology influences teachers and students’ social interactionsand shapes their mathematical knowledge. Vygotsky [3] emphasized the role of tools and signsfor cognitive development. He argued that intellectual
reference toanother in our robot manipulators.Transforms in ROS are made on positional data in both space and time. There are good tutorialsin ROS on how data is transformed in the temporal domain. In this paper, we use examples andlabs where the positional data is constant so we can ignore extrapolation in time. Time isimportant but we ignore it to “keep it simple” for students [3]. URDF is a XML modelinglanguage capable of modeling most robots. Python is a programming language with interfaces tothe ROS system.Software packages in ROS are written mainly in Python, Lisp and C++. We will use Pythoninterpreter much like a calculator. RVIZ GUI will display robot information and we will confirmthe results using calculations made in Python
over 30 years. Jim has been active in the freshman engineering program at A&M for nearly 20 years; was an active participant in the NSF Foundation Coalition from 1993 to 2003; also has received funding for his engineering education research from the Department of Education FIPSE program and from the National Science Foundation CCLI program. He is active in the American Society for Engineering Education, is past chair of the Freshman Programs Division, currently serves on the steering committee. In addition to his teaching in engineering, Jim served several years as Co-Director of the Eisenhower Leadership Development Program in the Center for Public Leadership at the George Bush School of Government and Public
lateral bracing (bridging) design to insure students understand more specifics related to structural designReferences[1] Satareh, M., Bacim, F., Jones, B., Polys, N., Geng, T., Orsa, B. (2012). Integrating Web-based Visualization withStructural System Understanding to Improve the Technical Education of Architects. Journal of Online-EngineeringEducation, Vol. 3, No. 2, Article 2[2] Merritt, F., and Ambrose, J. (1990) Building Engineering and Systems Design. Springer US p. 16[3] Arciszewski, T., and Lakmazaheri, S. (2001) Structural Design Education for the 21st Century.International Journal of Engineering Education Vol. 17, Nos. 4 and 5, pp. 446-454, 2001[4] Raja, V, and Fernandes, K. Ed. Reverse Engineering: An Industrial Perspective (2008
Contemporary and Smart Farming Technologies at the University of Maryland Eastern Shore, Proceedings of the ASME IDETC/CIE 2021 (IEEE/ASME Mechatronics and Embedded Systems Application) (Virtual) August17-19. 2021[3] Pandya, J., Ford, T., Davis, K., Nagchaudhuri, A., Nindo, C., and Mitra M.,” FarmBot―A Platform for Backyard Precision Farming: Installation and Initial Experimental Layout “, Paper # 1900194 Proceedings of ASABE International Meeting, July 7-10, Boston, MA[4] Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development,V1, Englewood Cliffs, NJ: Prentice-Hall.[5] Coyle, E. J., Allebach, J. P., and Garton-Krueger, J., 2006. “The Vertically‐Integrated Projects (VIP) Program in ECE at