Paper ID #33152An Innovative Approach to Teaching Project Resource LevelingDr. David S. Greenburg, The Citadel Dr. Greenburg is an Associate Professor in the Department of Engineering Leadership and Program Man- agement (ELPM) in the School of Engineering (SOE) at The Citadel. He served over 20 years of active military service in the United States Marine Corps. During his military career he served in a variety of pro- gressively responsible command and staff and leadership positions in Infantry, Logistics, Acquisition, and Human Resources; with peacetime and combat experience. Upon completion of active military service
Paper ID #32750A Multidisciplinary Mid-Level Electrical and Mechanical Engineering CourseChristopher Lee, Olin College of Engineering Chris Lee is Professor of Mechanical Engineering at Olin College of Engineering.Siddhartan Govindasamy, Boston College Siddhartan Govindasamy is Professor of Engineering at Boston CollegeDr. Diana S. Dabby, Franklin W. Olin College of EngineeringProf. Paul Ruvolo, Olin College of Engineering American c Society for Engineering Education, 2021 A Multidisciplinary Mid-Level Electrical and Mechanical Engineering
is a strong advocate for exploring strategies for success- ful academic achievement at all levels of education and customizes her educational approach to enhance the diversity of strengths of each individual student while also shoring up areas of relative weaknesses. She is a tireless advocate for her STEM adult learners.Dr. Andrew Greenberg, Department of Chemical and Biological Engineering University of Wisconsin-MadisonDr. Christine S. Grant, North Carolina State University at Raleigh Dr. Christine S. Grant joined the NC State faculty in 1989 after completing her M.S. and Ph.D. (Geor- gia Institute of Technology) and Sc.B. (Brown University) all in Chemical Engineering (ChE). One of less than 10 African-American
/experiences for some of the competencies but few, if any,would specify all the courses/experiences that every scholar must complete for each of the fivecompetencies. Thus, even within an institution, how each Grand Challenges Scholar achieveseach competency often varies. For example, some scholars may complete course(s) while othersmay engage in experience(s) in order to achieve each competency. The types of courses andexperiences students are involved in also vary, depending on the students’ Grand Challengefocus area and/or their specific interests within that competency area. For example, therequirements to achieve each GCSP competency at ASU, shown below in Table 1, are written interms of number of courses and experiences, but the student can
communication skill-building in engineering-specific technical communication classes,resulting in engineers who can more effectively propose, lead, and manage teams remotely [11,12]. Instructional technology has developed at the same time as pedagogical approaches haveexpanded to serve more diverse learners [13]. Engineers cross-trained in VMC in addition totheir discipline-specific skills will highly contribute to their professional growth.Professionalization also entails a successful life-stage transition from student to employee, whichcorresponds with a change of responsibilities and expectations. Transitioning, defined as “anyevent or non-event that results in changed relationships, routines, assumptions, and roles,” [14]includes four-S dimensions
Technical Direction. Professor of Practice. Emphasis on theater technical direction. Prof. J.-LA College of Liberal Arts Professor of Dance. Emphasis on contact dance improvisation. Prof. S.-LA College of Liberal Arts Professor of Art and Design. Professor of Art Education. Prof. Y.-LA College of Liberal Arts Professor of Interior Design. Data collection consisted of semi-structured interviews, which helped to understand better thecontext where the answers came from and tailor "follow-up questions within and across interviews" [10,p. 154] according to the participants' response. The questions were structured according to one element ofthe correspondence analysis
, the thirdphase further reviewed capstone-related efforts to explore possible and effective practices within capstonedesign projects that might contribute to the development of multidisciplinary engineering education.Phase 1. Multidisciplinary Engineering Programs Accredited by ABETAs background, Farison and Newberry (2003) previously reported on accredited Engineering and EngineeringScience programs, and explored related historical trends to provide a macro-level perspective of such programs[4-5]. However, only Engineering (sometimes called General Engineering) and Engineering Science(s)programs were considered. From a micro perspective, these general engineering programs varied frominstitution to institution in curricular and student
measured correctly. Finally, students must open inExcel the ASCII file CrankSlider.DAT output by their program, and plot the displacement S,velocity dS/dt and acceleration d2S/dt2 of the slider (see Figure 3), as well as the transmission 2angle and the discriminant (labeled Delta in Figure 4) of the quadratic equation that occurs whensolving the position problem of the mechanism. (a) (b)Figure 2: The 10th frame of the CrankSlider.PAS simulation as read from the DXF file (a) output by theoriginal program, and (b) by the modified program as required in Assignment 2.Figure 3: Plot
group may be composed of several teammembers with the same functional role and different team role(s). The nine current Belbin TeamRoles are described in Table 1. Each Team Role is defined by six factors: (1) personality; (2)mental ability; (3) current values and motivation; (4) field constraints; (5) experience; and (6)role learning [15]. Of particular relevance to the VIP Teams’ structure are the connections thatBelbin established between the following six stages of a team’s development and the need forprevailing Team Roles at each stage: (1) identifying needs; (2) finding ideas; (3) formulatingplans; (4) making ideas; (5) establishing team organization; and (6) following through [14].The Belbin Team Roles have been operationalized through
(advanced global imaging techniques). Areas of applications include flow-induced vibrations, flow around bluff bodies, airfoils, perforated plates, cavity configurations, and biomedical devices.Dr. Inci Ruzybayev, York College of Pennsylvania Inci Ruzybayev is Assistant Professor in Engineering Physics at the York College of Pennsylvania. She received her Ph. D. in Physics from University of Delaware and her M. S. and B. S. in Physics Education from M.E.T.U. in Turkey. Her technical research interests are in structural and characterization of TiO2 thin films and magnetic nanoparticles along with pedagogical research interests in improving engineering physics curriculum and seeking solutions to gender bias
completing the course, student will be able todemonstrate their factual and conceptual knowledge about the data visualization process: 1. The basic stages for visualizing data. 2. What happens in each stage of the visualization process. 3. What stages are likely to initiate the iterative nature of the process. 4. Different techniques used to better understand data.After completing the course, students will be able to demonstrate the following proceduralknowledge: 1. Demonstrate actions to acquire data. 2. Demonstrate the ability to change raw data into a useful format for further processing. 3. Implement procedure(s) to extract data of interest from a larger dataset. 4. Choose the appropriate visualization chart for
Tennessee Board of Regents for supporting the summerprogram.References[1] Miao, L. and Li, C. “Engaging Minority and Underrepresented Engineering Students to Fight“Sophomore Slump” through a Summer Research and Enrichment Program (Research)”, 2021ASEE Annual Conference & Exposition, Virtual Conference, July 2021[2] Wood, B., and A. Ganago. "Using Arduino in Engineering Education: Motivating Students toGrow from a Hobbyist to a Professional." ASEE Annual Conference and Exposition, Salt LakeCity, Utah. 2018.[3] Hopkins, M. A., and Kibbe, A. M., 2014, "Open-source hardware in controls education,"ASEE Annual Conference, Indianapolis, IN.[4] Parker, J. M., and Canfield, S. L., 2013, "Work-in-progress: using hardware-basedprogramming experiences to
Laboratories Duringthe COVID-19 Pandemic’, J. Chem. Educ., vol. 97, no. 7, pp. 1887–1894, Jul. 2020, doi:10.1021/acs.jchemed.0c00483. Accessed: March 8, 2021. [Online]. Available :https://pubs.acs.org/doi/10.1021/acs.jchemed.0c00483.[4] M. Fenichel, “The Integral Role of Laboratory Investigations in Science Instruction”,National Science Teachers Association, 2007. Accessed: March 8, 2021. [Online]. Available:https://www.nsta.org/nstas-official-positions/integral-role-laboratory-investigations-science-instruction.[5] M. V. Mawn, P. Carrico, K. Charuk, K. S. Stote, and B. Lawrence, ‘Hands‐on and online:scientific explorations through distance learning’, Open Learning: The Journal of Open,Distance and e-Learning, vol. 26, no. 2, pp. 135–146, Jun. 2011
a GCSP (5.0% (n=1) did not provide enoughinformation to determine their affiliation). Those who were affiliated with a GCSP includeprogram directors, committee members, faculty members, and staff while those who were notaffiliated with a GCSP were either faculty members preparing to start a GCSP at theirinstitution(s) or were unrelated to GCSP. Users were asked to select from a list of options andindicate how they found the online course modules platform. The results show that 40.0% ofusers (n=8) found the modules via the KEEN card on EngineeringUnleashed.com and 40.0% ofusers found the modules via email communication from the NAE GCSP. The modules were alsofound via the KEEN GCSP subnet, forwarded emails/recommendations from colleagues
. Ro, and B. J. Novoselich, “Supporting the Development of Engineers’ Interdisciplinary Competence,” J. Eng. Educ., vol. 106, no. 1, pp. 71–97, 2017, doi: 10.1002/jee.20155.[4] A. L. Pawley, “Universalized Narratives: Patterns in How Faculty Members Define " Engineering ",” 2009.[5] E. Godfrey and L. Parker, “Mapping the Cultural Landscape in Engineering Education,” J. Eng. Educ., vol. 99, pp. 5–22, 2010, doi: 10.1002/j.2168-9830.2010.tb01038.x.[6] T. Fletcher et al., “Ignored Potential.”[7] E. O. McGee and L. Bentley, “The Troubled Success of Black Women in STEM,” Cogn. Instr., vol. 35, no. 4, pp. 265–289, 2017, doi: 10.1080/07370008.2017.1355211.[8] S. M. Lord, M. M. Camacho, R. A. Layton, R. A. Long, M. W. Ohland, and M
accountable for their performance during onlineassessment.Bibliography[1] S. Downes, "E-Learning 2.0." International review of research in open and distance learning, vol. 6, issue 2, Oct 2005. https://doi.org/10.19173/irrodl.v6i2.284.[2] E.J. Banas and W.F. Emory, "History and issues of distance learning," Public Administration Quarterly, vol. 22, issue 3, pp. 365-383, Fall 1998. https://www.jstor.org/stable/40862326.[3] M. Allen, E. Mabry, M. Mattrey, J. Bourhis, S. Titsworth, and N. Burrell, “Evaluating the effectiveness of distance learning: A comparison using meta-analysis.” The Journal of Communication, vol. 54, issue 3, pp. 402–420, Sep 2004. https://doi.org/10.1111/j.1460-2466.2004.tb02636.x.[4] R.M
and ground. His team deployed a bomb finding robot named the LynchBot to Iraq late in 2004 and then again in 2006 deployed about a dozen more improved LynchBots to Iraq. His team also assisted in the deployment of 84 TACMAV systems in 2005. Around that time he volunteered as a science advisor and worked at the Rapid Equipping Force during the summer of 2005 where he was exposed to a number of unmanned systems technologies. His initial group composed of about 6 S&T grew to nearly 30 between 2003 and 2010 as he transitioned from a Branch head to an acting Division Chief. In 2010-2012 he again was selected to teach Mathematics at the United States Military Academy West Point. Upon returning to ARL’s Vehicle
development and adoption of design strategies that measure learning and teaching efficacies across his service in various institutions of higher education. A geophysicist by academic training, he began to design multimedia applications for teaching and learning in the late 1990’s, developing his first online course in 1996. Since then, he has helped a few hundred faculty from varied disciplines develop hybrid and online courses. He has also taught traditional, hybrid and online courses ranging in size from 28 to 250. He is also co-developer of a Digital Academy which was a finalist for the Innovation Award by the Professional and Organizational Development Network and an Innovation Award winner. He was recently named as
of soft skills, vol.9, pp 45-50, 2015.[6] S. Conrad and T. Pfeiffer, “Preliminary analysis of student and work-place writing in civilengineering.” Proceedings of the ASEE Annual Conference and Exposition, 2011.[7] D. Rus, “Developing technical writing skills to engineering students.” Procedia Technology,vol. 19, pp. 1109–1114, 2015.[8] K. Pate, J. Marx, and F. Breidi, “Design of a transparent hydraulic educational demonstratorutilizing electrically controlled valves.” Proceedings, 2018 IEEE Frontiers in EducationConference (FIE), 2018.[9] N. Smith, A.J. Hill and T. McDonald, “Design and implementation of a course inexperimental design and technical writing.”, Proceedings of the ASEE Annual Conference andExposition, 2018.[10] University of
. 6. Council of Chief State School Officers, Attn: Publications, One Massachusetts Avenue, NW, Ste, 1997.[11] K. K. Hess, B. S. Jones, D. Carlock, and J. R. Walkup, “Cognitive Rigor: Blending the Strengths of Bloom’s Taxonomy and Webb’s Depth of Knowledge to Enhance Classroom- level Processes,” p. 8.[12] N. L. Webb, “Depth-of-Knowledge Levels for Four Content Areas.” Unpublished Paper, Mar. 28, 2002, Accessed: Apr. 07, 2021. [Online]. Available: https://dpi.wi.gov/sites/default/files/imce/assessment/pdf/All%20content%20areas%20%20 DOK%20levels.pdf.[13] L. W. Anderson and D. R. Krathwohl, A taxonomy for learning, teaching, and assessing : a revision of Bloom’s taxonomy of educational objectives. Longman, 2001.[14] E
its firstyear of operation, we summarize the current state of the program and make some suggestionsabout the future of the program.Background and LiteratureThe term, data science, likely coined in 2001 by W. S. Clevland [2], has had a number ofdefinitions. For the purposes of this paper, we focus on considering data science as a disciplinethat combines the fields of computer science, mathematics, statistics, and information technologybut with a focus on the generation, organization, modeling, and use of data to make scientific andbusiness decisions. Needless to say, a distinguishing feature of data science is the centrality of‘data’ to the mission of the discipline and its professionals. Data science programs shouldproduce data scientists
Director, Dis- covery Learning Program Affiliate Professor, Bioengineering Olivia Coiado has a Postdoctoral training from the University of Illinois at Urbana-Champaign (2013-2015) where she developed a new technology for cardiac therapy. She received her B.S degree in medical physics in 2005 from the University of S˜ao Paulo, Brazil, M.Sc. degree in Electrical Engineering from the University of Campinas, Brazil (2008) and Doctorate degree in Electrical Engineering from the University of Campinas, Brazil (2012). She has published journal articles describing a new technology to pace the heart using ultrasonic pulses and med- ical/engineering education research. Prof. Coiado is passionate about everything that involves
Applied Science Using Challenge Based Learning," International Journal of Engineering Pedagogy, vol. 5, no. 1, pp. 33-41, 2015.[4] National Research Council, How people learn: Brain, mind, experience, and school: Expanded edition, National Academies Press, 2006.[5] T. Martin, S. D. Rivale and K. R. Diller, "Comparison of student learning in challenge-based and traditional instruction in biomedical engineering," Annals of biomedical engineering, vol. 35, no. 8, pp. 1312-1323, 2007.[6] D. L. Schwartz, S. Brophy, X. Lin and J. D. Bransford, "Software for managing complex learning: Examples from an educational psychology course," Educational Technology Research and Development, vol. 47, no. 2, pp. 39-59, 1999.[7] M. Smith, D. Craig
lasted between 30 and 45 mins, between8-10 faculty members.References[1] “Criteria for Accrediting Engineering Programs, 2020 – 2021,” ABET, 2020. https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-progra ms-2020-2021/ (accessed Feb. 05, 2021).[2] J. Selzer, “The composing processes of an engineer,” in Central works in technical communication, J. Johnson-Eilola and S. A. Selber, Eds. New York: Oxford University Press, 2004, pp. 317–324.[3] J. Lievens, “Debunking the ‘nerd’ myth: Doing action research with first-year engineering students in the academic writing class,” Journal of Academic Writing, vol. 2, no. 1, pp. 74–84, 2012, doi: https://doi.org/10.18552/joaw.v2i1.66.[4] D. L
://arvc.umh.es/arte/index_en.html. [Accessed 19 April 2021].[3] R. Sadanand, J. R. Chittawadig and S. Saha, "Virtual robots module: an effective visualization tool for robotics toolbox," Proceedings of the 2015 Conference on Advances In Robotics, pp. 1-6, July 2015.[4] M. L. D. o. M. E. a. I. Delhi, "RoboAnalyzer," [Online]. Available: http://www.roboanalyzer.com/. [Accessed 10 Feb. 2021].[5] Mathworks, "Robotics System Toolbox," [Online]. Available: https://www.mathworks.com/products/robotics.html. [Accessed April 2021].[6] A. Sanchez, L. Gracia Calandin, R. Morales and C. Perez Vidal, "Representation of Robots in Matlab," International Journal of Software Engineering and Knowledge Engineering, vol. 29, no. 1, pp. 23-42.[7] D. Riley
," Journal of Knowledge Management, vol. 7, no. 5, pp. 55-66, 2003.[11] R. Felder, G. Felder, and E. Dietz, "The effects of personality type on engineering student performance and attitudes," Journal of Engineering Education, vol. 91, no. 1, pp. 3-17, 2002.[12] S. Sheppard, K. Macatangay, A. Colby and W. Sullivan, Educating engineers: Designing for the future of the field, Jossey-Bass, 2009.[13] L. Thompson, Making a team: A guide for managers, New York: Prentice-Hall, 2018.[14] J. Lipnack and J. Stamps, “Virtual teams: The new way to work,” Strategy & Leadership, vol. 27, no. 1, pp. 14–19, 1999.
://cvt.engin.umich.edu/ 4) Consortium for Nonproliferation Enabling Technologies (CNEC), https://cnec.ncsu.edu/ 5) Nuclear Science and Security Consortium (NSSC), https://nssc.berkeley.edu/AcknowledgementsThis material is based upon work supported by the Department of Energy / National NuclearSecurity Administration under Award Number(s) DE-NA0003921.This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725with the US Department of Energy (DOE). The US government retains and the publisher, byaccepting the article for publication, acknowledges that the US government retains anonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published formof this manuscript, or allow others to do so, for US
students and their needsduring uncertain times.Both of the activities from Cohort A and Cohort B have distinct benefits to promote continuity inthe classroom, no matter the format. These activities can be scaled to properly fit the size ornumber of students enrolled in the course as well as the available time during the class session.Even implementing a modified version of one of these activities could potentially have a hugeimpact on the classroom dynamic.Works Cited[1] Parkhurst, R., & Moskal, B., & Downey, G., & Lucena, J., & Bigley, T., & Ruff, S. (2006, June), A Comparative Analysis Of Online And In Class Versions Of Engineering Cultures. Paper presented at 2006 Annual Conference & Exposition, Chicago