of wheels, and 3D printing [26] Entrepreneurship: business planning, business model canvas [27], product development process, market analysis, product market matrix [28], Porter’s 5 forces [29], technology S- curve [30], venture capital, crowd funding, grants, social entrepreneurship, and managing intellectual propertyCorresponding to each lesson on fundamental concepts, participants worked on hands-on learningtasks in teams. VEX Robotics Clawbot kit [31] and Arduino UNO microcontroller [32] were usedfor building the chassis of the robot and the microcontroller circuitry of the robot, respectively.The research team introduced participants to operating principles, electrical schematic, coding, andmicrocontroller interfacing of
statistic values calculated using the formula x¯ − µ0 s= √ , σ/ nwhere x¯ is the sample mean for the group, µ0 is the population mean, σ is the population standarddeviation, and n is the number of samples in the group. So, for example, in the case of thecalculus readiness test scores of incoming engineering students, √ s = (17.14 − 17.44)/(4.63/ 278) = −1.07 > −1.96,therefore the hypothesis is accepted. By similar analysis, in each case (save one) ofhomeschooled students’ test scores (both for incoming and graduated students), the
Competencies for Science and Technology Libraries,” Sci. Tech. Libr. vol. 28, no. 1-2, pp. 11-22, August 2008, doi: 10.1080/01942620802096788[8] D. L. Roberts, “Mentoring in the Academic Library,” Coll. Res. Libr. News, vol. 47, no. 2, February 1986. Retrieved from: https://crln.acrl.org/index.php/crlnews/article/view/21417/26685[9] M. F. Casserly and J. L. Hegg. “A study of collection development personnel training and evaluation in academic libraries,” Libr. Acquis. Pract. Th., vol. 17, no.3, pp.242-262, Autumn 1993, doi: 10.1016/0364-6408(93)90069-I[10] S. L. Fales, Ed., Guide for Training Collection Development Librarians, no. 8. Chicago: ALA, 1996.[11] E. Forte et al., "Developing a training program
Measurementtarget a 100 m/s flow rate at the valve seat opening. Asthe port transitions from a round opening to a rectangularopening at the end of the centerline arc, the port crosssection may grow to 115% of the valve seat opening area.At some point along the straight portion of the portcenterline, the port area decreases down to the 100% areavalue. At the port opening on the intake manifoldinterface, the port cross section area is dropped to 90% of Figure 16. Port Cross Sectionsthe valve seat opening area. The exact position of the Featuring Coupling Between115% area and 100% areas are to be confirmed by
. Finally, we plan to incorporate more individual reflection activities before, during,and after the project to enhance students’ growth and self-evaluation.AcknowledgmentsThe authors would like to acknowledge their research assistants for their work on this project; TessAlexandre, Kristen Brien, Barry Dunn, Olivia Ryan, and Nathan Wilson. This work was supportedby grants from the Hassenfeld Community Projects fund and the RWU Foundation to PromoteScholarship & Teaching, as well as a gift from TPI Composites in Warren, RI.References1. B. Jacoby and Associates (1997) Service Learning in Higher Education. San Francisco, CA: Jossey-Bass, 1997.2. G. Bucks, W. Oakes, C. Zoltowski, F. Rego, and S. Mah. “Facilitating Multidisciplinary Teams in a
educators to developadditional resources for MATLAB and ROS programming of low-cost robot manipulators thatare effective in the classroom and laboratory. These results also have significance to theintroduction of modern robotics concepts, including industrial robots and intelligentmanufacturing, into lower division engineering courses, K-12 and STEM activities.7.0 References[1] https://www.ros.org/ [Accessed April 26, 2020][2] S. A. Wilkerson, J. Forsyth, C. Sperbeck, M. Jones, and P. D. Lynn, “A Student Project using RoboticOperating System (ROS) for Undergraduate Research,” 2017 ASEE Annual Conference & Exposition,Columbus, Ohio, June 2017. Available: https://peer.asee.org/27515 [Accessed April 26, 2020][3] A. Yousuf, W. Lehman, M. A. Mustafa
Paper ID #30621Effectiveness of Using Guided Peer Code Review to Support Learning ofProgramming Concepts in CS2 Course: A Pilot StudyDr. Tamaike Brown, State University of New York at Oswego Assistant Professor of Computer Science, Department of Computer Science, State University of New York at OswegoDr. Gursimran Singh Walia, Georgia Southern University Gursimran S. Walia is Professor of Computer Science at Georgia Southern University. His main research interests include empirical software engineering, software engineering education, human factors in soft- ware engineering, and software quality. He is a member of the IEEE
, is an assistant teaching professor of Civil Engineering at Missouri University of Science and Technology. He received his BS (2001), MS (2003) and PhD (2009) in civil engineer- ing with emphasis in structural engineering, from University of Tehran, Iran. His research interests and experiences are in the field of computational mechanics, cement-based composite materials as well as in- novative teaching techniques. Dr. Libre is the manager of Materials Testing lab at Missouri S&T, teaches mechanics of materials and develops digital educational resources for the engineering students. He had the opportunity of leading several scientific and industrial research projects and mentoring graduate and undergraduate
Department tours and participant research presentations 3:30 - 4:30 pm Return to hotel 5:00 - 6:30 pm Networking dinner and distinguished speaker 6:30 - 7:30 pm Panel discussion with newly recruited faculty members Day 2 8:00 - 8:30 am Breakfast 8:30 - 9:30 am Interactive session with program host(s) 9:30 - 11:30 am Campus tour 11:30 am DepartureAssessment MethodsAt the completion of the program, attendees completed a post
. Sturgill, A. Kirk, and G. B. Dadi, "Estimating earthwork volumes through use of unmanned aerial systems," Transportation Research Record, pp. 1-8, 2017.[5] S. Siebert and J. Teizer, "Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system," Automation in Construction, vol. 41, pp. 1- 14, May 2014.[6] R. E. Pereira, S. Zhou, and M. Gheisari, "Integrating the use of UAVs and photogrammetry into a construction management course: Lessons learned," presented at the 35th International Symposium on Automation and Robotics in Construction (ISARC 2018), 2018.[7] J. B. Sharma and D. Hulsey, "Integrating the UAS in Undergraduate Teaching and Research
declinein Cluster 3’s cumulative GPA (Fig. 2(b)).Research Question 3: Does retention vary across clusters? To test this research question, we examined three models for retention. Major retention, R1,is whether a student has switched their major since admission. This represents the university’sofficial recognition of a change of major. Engineering retention, R2, is whether a student hasswitched from their engineering major since admission but is still attending University A in anon-engineering major. Finally, university retention, R3, is whether a student is a current studentor not at the university as a whole. A chi-squared test for equal proportions was used to compareeach retention rate across clusters. We compare p-values of these tests to
the importance of imaginal capacity in the understanding and transformation ofreality (Anzaldúa, 2015; Freire, 2005; Marcuse, 1969; Scarry, 1985). Similar to the qualityillustrated by Royce, imagination here is not a tool for creativity or fantasizing a situation orindividual(s). The reason we build on liberatory perspectives as complementary to whatdiscussed by Royce and Buber is that these frameworks urge attention to broad social andpolitical structures that may influence our ethical reasoning and decision-making, in explicit orimplicit manners. Such factors may play a significant role at the institutional level when we thinkabout the culture of engineering practice and its conventional norms and structures and in generalthe role each
of application of the approach. Semester Course Project Phase Fall Lab Course 1 Sensor(s) Spring Lab Course 2 Measurement system Fall/Spring Capstone 1 and 2 Prototype Fig. 1 Distribution of Intellectual Effort.It is important to point out that the Lab Course 1 is a prerequisite of the Lab Course 2, and theLab Course 2 is a prerequisite of the Capstone 1 course. Therefore, the sequence of coursesimposes a constrain to the approach for those students that miss one of the courses in thesequence for
context ofan integrated, project-based learning program for upper-division students. Using a commonscience fiction read as a case study for learning ethics in an engineering context has strongpedagogical value. The exercise is both morally sound and engaging. The student engineersparticipating in the experience effectively extracted, discussed, and reflected on ethical themesfrom the reading. Most importantly, they connected their ethical learning in this context to realworld applications.References[1] A. Segall, “Science fiction in engineering instruction: to boldly go where no educator has gone before,” in ASEE Annual Conference, Montreal, Quebec, Canada, 2002, pp. 7.993.1- 7.993.8.[2] L. Dubeck, M. Bruce, J. Schmucker, S. Moshier, and J
Improvement. Alexandria, VA. Assoc. for Supervision and Curriculum Dev., 2002.[8] B. S. Bloom, Human characteristics and school learning. New York, NY, US: McGraw-Hill,1976.[9] J. Moore, “Mastery grading of engineering homework assignments,” Proc. - Front. Educ.Conf. FIE, November, 2016.[10] Gutmann, G. Gladding, M. Lundsgaard, and T. Stelzer, “Mastery-style homework exercisesin introductory physics courses: Implementation matters,” Phys. Rev. Phys. Educ. Res., vol. 14,no. 1,, 2018.[11] S. M. Williams and B. P. Newberry, “First-year experiences implementing minimumself-paced mastery in a freshman engineering problem-solving course,” ASEE Annu. Conf.Proc., 1998.[12] S. Sangelkar, O. M. Ashour, R. L. Warley, and O. Onipede Jr., “Mastery learning
Resources make the decision based on apparent qualifications? How do we ensure faculty is prepared to teach for the College? Dimension 2- Course Assignments 10, 11, 13, Who and what determines which course(s) adjunct faculty will 14, 15, 16 teach and which specific adjunct faculty to assign to a specific course? Dimension 3- Faculty Performance 18, 19, 20 Are adjunct faculty rated? If so, by whom? How often? Dimension 4- College Communication Who is tasked with informing adjunct faculty of
. [Online]. Available: https://michaelhyatt.com/why-after-action-reviews-are-so-important/ K. Elissa, “Title of paper if known,” unpublished.[4] A. Badir, J. Liao, T. Kunberger, G.I. Papkov, L.D. Nguyen, and R. O’Neill, “Exam wrappers, reflection, and student performance in engineering mechanics,” in ASEE Annual Conference and Exposition 2018, Salt Lake City, Utah, USA, June, 2018.[5] P. Gezer-Templeton, E. Mayhew, D. Korte, and S. Schmidt, “Use of exam wrappers to enhance students’ metacognitive skills in a large introductory food science and human nutrition course,” Journal Of Food Science Education, vol 16, no. 1, pp. 28-36, 2017.[6] K.J. Metzger, B.A. Smith, E. Brown, and P.A.G. Soneral, “SMASH: A
, 2006, 170(3):971-986. [3] Thursby J G , Kemp S . Growth and Productive Efficiency of UniversityIntellectual Property Licensing[J]. Research Policy, 2002, 31(1):109-124. [4] Kao C , Hung H T . Efficiency analysis of university departments: An empiricalstudy[J]. Omega, 2008, 36(4):p.653-664. [5] Liu wei , Cao jianguo, Zheng linchang, et al. Evaluation of scientific andtechnological innovation capability of Chinese universities based on principal componentanalysis [J]. Research and development management,2010(06):125-131. (in Chinese) [6] Dong yelu. Evaluation of scientific and technological innovation ability ofChinese universities based on factor analysis [J]. Research on scientific management,2015(6):32-34. (in Chinese) [7] Guo
inaugural Faculty Associate for Mobile Learning. He has a Ph.D. in Mechanical Engineering from the University of Wyoming (Laramie, Wyoming). He has approximately 25 publications/presentations. He is a member of the American Society for Engineer- ing Education (ASEE). He is the recipient of David S. Taylor Service to Students Award and Golden Apple Award from Boise State University. He is also the recipient of ASEE Pacific Northwest Section (PNW) Outstanding Teaching Award, ASEE Mechanical Engineering division’s Outstanding New Edu- cator Award and several course design awards. He serves as the campus representative (ASEE) for Boise State University and as the Chair-Elect for the ASEE PNW Section. His academic research
those who did not to determine if thereexists a similar pattern to that found with students who took the surveys and those who did not.Question Q20 – How do you think you are doing in your engineering courses? – was only addedto the mid-semester survey in the fall 2019 semester. The main motivation when the survey wasfirst done was assessing student performance in their mathematics and science courses. Theauthors plan to report on results of this newer survey question in future work.References[1] S. Gratiano and W. Palm, Can a five-minute, three-question survey foretell first-yearengineering student performance and retention?, Proceedings of the 123rd ASEE AnnualConference & Exposition, New Orleans, LA.[2] M. Anderson-Rowland, A first year
. When reading, I try to connect the things I am reading about with what I already know.Reference[1] G. Mason, T. R. Shuman, and K. E. Cook, "Inverting (Flipping) Classrooms – Advantages and Challenges," presented at the 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia, 2013/06/23, June 2013. Available: https://peer.asee.org/19842[2] R. Bachnak and S. C. Maldonado, "A Flipped Classroom Experience: Approach and Lessons Learned," presented at the 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana, 2014/06/15, June 2014. Available: https://peer.asee.org/19942[3] C. J. Prust, R. W. Kelnhofer, and O. G. Petersen, "The Flipped Classroom: It's (Still) All About Engagement," presented at
work under the auspices of the National Science Foundation (NSF) undergrant number # 1644743. However, any items expressed in this paper do not necessarilyrepresent the views of NSF or its affiliates.References[1] M. Z. Lagoudas, S. Y. Yoon, and R. Boehm, “The Implementation and Assessment of an I- Corps Site: Lessons Learned,” Proceedings of the 126th American Society for Engineering Education (ASEE) Annual Conference and Exposition, Tampa, FL, USA, 2019.[2] G. Lichtenstein, and T. Monroe-White, “Entrepreneurial mindset assessment reviews,” 2016. Available: https://venturewell.org/wp-content/uploads/EMAR-v1-1.pdf[3] S. Zappe, “Avoiding construct confusion: An attribute-focused approach to assessing
, students recognize the importance of solving problems completely with thecorrect comprehension of physical and mathematical meanings of variables in the governingequations.References[1] M. S. a. C. C. B. Z. Dymond, "The Influence of Grading Bias on Reinforced Concrete Exam Scores at Three Different Universities," in ASEE Annual Conference and Exposition, Salt Lake City, UT, June 24-17, 2018.[2] A. Karimi, "Bringing Uniformity in Topic Coverage and Grading Fairness in Multiple," in International Mechanical Engineering Congress, 2015.[3] A. C. K. a. W. Sander, "Grades and Student Evaluations of Teachers," Economics of Education Review, pp. 59-63, 1999.[4] C. E. Work, "Nationwide Study of the Variability of Test Scoring by Different
REACT is currently limited to teachers within the state, we feel the best way to reachother states is by sharing our model with other research institutions around the country. We arecurrently working with a research group at Cornell University to implement a similar annualworkshop that will serve their region. 10References[1] A. King, “From Sage on the Stage to Guide on the Side,” Coll. Teach., 2010.[2] C. Papanastasiou, “School, teaching and family influence on student attitudes toward science: Based on TIMSS data for Cyprus,” Stud. Educ. Eval., vol. 28, no. 1, pp. 71–86, Jan. 2002.[3] J. Osborne, S. Simon, and S
Summary and Future DirectionThe authors piloted a ND EPSCoR NATURE bridge camp at TMCC during the summer of 2019.The authors wanted to prepare participants for college in a manner that would also get themexcited about and interested in pursuing a STEM degree and career. The structure of the campconsisted of face-to-face sessions and three independent projects aimed at developing a mindsetthat will ultimately help participants succeed in college. Each independent project built uponknowledge gained during that face-to-face sessions and previous independent project(s). Theauthors believe this systematic process of progressively giving the participants moreresponsibility and less instruction over the course of the camp helped to promote the self
community was purposefully expanded to include center and university, parents andwomen of color in STEM to further improve the self-efficacy of the girls [27], [28].MethodologyThis research is part of a larger exploratory, longitudinal, 2-year mixed methods study. Theinitial phase was focused on unveiling areas of challenge in student perception, CT thinkingpractices, and STEM +CT integration. Student voice was optimized to help refine and evolve theintegration of STEM and the CT activities. CT thinking practices were pulled by the universityresearch team from Weintrop et al.’s Taxonomy of CT [15]. Those practices include DataCollection, Data Creation, Understanding a System as a Whole, Understanding the RelationshipBetween Parts of a System
will soon build on the current momentum from this seedgrant project to scale up our study.AcknowledgmentsThis work is based upon work supported by the National Science Foundation under Grant#1738214. Any opinions, findings, and conclusions or recommendations expressed in this paper,however, are those of the authors and do not necessarily reflect the views of NSF.References[1] M. H. Davis, “Measuring individual differences in empathy: Evidence for a multidimensionalapproach,” Journal of Personality and Social Psychology, vol. 44, no. 1, pp. 113-126, 1983.[2] J. J. Shah, S. M. Smith, and N. Vargas-Hernandez, “Metrics for measuring ideation effectiveness,” Design Studies, vol. 24, no. 2, pp. 111-134, 2003.[3] Ş. Purzer, W. P. Myers, and D
, and economic criteria and reflects balance of dimensions13. Uses and/or creates innovation(s) in its specific field to achievesustainability14. Worked with experts from other disciplines (i.e., outsideengineering) to enhance process or final designMethodsIn Fall 2019, 35 civil engineering seniors at The Citadel were recruited to apply the SustainableDesign Rubric to their capstone projects. In place of one of their regular Water and WastewaterSystems classes, students attend an active 1.5 hour session to learn about and apply the Rubricthrough individual reflection and group discussions. For participating in the session, studentsearned bonus points on one of the course’s design projects. Students were in their first semesterof a two-semester
-Constructive-Interactive: A Conceptual Framework for Differentiating Learning Activities,” Top. Cogn. Sci., vol. 1, no. 1, pp. 73–105, Jan. 2009.[4] S. Freeman et al., “Active learning increases student performance in science, engineering, and mathematics,” Proc. Natl. Acad. Sci., vol. 111, no. 23, pp. 1–6, 2014.[5] C. E. Wieman, “Large-scale comparison of science teaching methods sends clear message,” Proc. Natl. Acad. Sci., vol. 111, no. 23, pp. 8319–8320, 2014.[6] M. Stains et al., “Anatomy of STEM teaching in North American universities,” Science (80-. )., vol. 359, no. 6383, pp. 1468–1470, 2018.[7] P. Shekhar and M. Borrego, “After the workshop: A case study of post-workshop implementation of active
, S., 2012). Additionally, University budget cuts and tuition increases areforcing more traditional students to take jobs in addition to their study activities. These and manyother factors are increasing the demand for more individualized learning (Schuwer & Kusters2014). Each learner has different characteristics, learners are not a homogenous mass, but varyconsiderably in terms of educational background, income, age and learning experience. Thisdiversity of the student body is growing fast (Bates, A. W. 2005). Thus, it is becoming increasinglyimportant for universities to meet this growing demand.Meeting the individualized learning demand, requires a blend of innovation and knowledge,particularly knowledge about the students. There is a