. Electrical Engineering and Information Technology, Vienna University of Technology M. S. Physics, University of Vienna M. S. Education Physics and Mathematics, University of Vienna Research Interests: Computer Science Education, Physics Simulation, Applied Computing c American Society for Engineering Education, 2020 Deep Learning for AgricultureAbstract. The global population is estimated to reach 8 billion by 2023 [1]. To feed such animmense population in a sustainable way, while also enabling farmers to make a living, requiresthe modernization of production methods in agriculture. In recent years there has been a lot ofexcitement in academic research and industry about the
some of thefields defined by LOM (Learning Object Metadata) [8] and add new fields that are specificallyrelated to online laboratories such as: title, type_of_lab a, activity(s), among others. Table 1presents the data that the professor who creates it gives us so the system can classify it in one ofthe galleries. Field Name Field data Description Mandatory / type Optional title String Unique title for the lab Mandatory purpose String Description of the purpose of the lab Optional topic(s) String[] Topics covered in
engineering.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1920421. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] National Science Board, "NSB-2018-2, Science and Engineering Indicators 2018," National Science Foundation, Arlington, VA, 2018. [Online]. Available: https://www.nsf.gov/statistics/indicators[2] D. E. Chubin, G. S. May, and E. L. Babco, "Diversifying the engineering workforce," Journal of Engineering Education, vol. 94, no. 1, pp. 73-86, 2005, doi: https://doi.org/10.1002/j.2168-9830.2005.tb00830.x.[3] Q. Clark
almosta century, it started to become more popular in the 1970’s. See, for example, Spady’s work [2,3], which examines CBL for public K-12 education.There are many publications that discuss CBL in different settings. Henri, et al. [4] presented acomprehensive review in 2017. They indicate that CBL may be beneficial for the success of adiverse student body and may also serve the needs of industry, which needs a cadre of engineerswho have mastered fundamental engineering skills. Discussions of implementation of a varietyof CBL-related methods in engineering programs have been published, such as [5] and [6]. Somepapers focus heavily on CBL for the “soft skills” embedded within engineering programs, suchas [7]. Studies analyzing a wide range of
good There is too muchtextual balance of visual balance of visual written information.composition information, with information, with written information. written information.Effective use of There is a good balance Bright font colors There is not a goodcolor and contrast of color. on bright balance of color or background or vice contrast. versa.Fonts By using an appropriate Some fonts in the The font(s) used in font, it is easy to view infographic are too
give sufficient time to refine products. 4. Any extra materials introduced should not be part of the graded curriculum. This makes the learning less stressful.AcknowledgmentThis paper is based upon work supported by the National Science Foundation under Grant No.1430398. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] US Census Bureau, Census Data for Kern County, CA, 2010 census and 2019 estimate.[2] V. L. Austin, "Teachers’ beliefs about co-teaching," Remedial and Special Education, vol. 22, pp. 245-256, 2001.[3] E. Cramer and A. Nevin, "A mixed methodology analysis of co-teacher
. Conclusions AM education is multidisciplinary and can be used in a myriad of ways regardless of thesubject being addressed. The participants were very eager to learn with and about AM. Puttinglearners in hands-on learning situations where they were able to use AM technology wasbeneficial to the participants understanding, and they all expressed enthusiasm to apply it to theirown specific content foci. Acknowledgement This project has been funded by NSF Award Number 1601587 entitled ‘AM-WATCH:Additive Manufacturing – Workforce Advancement Training Coalition and Hub’. References[1] Huang, S. H., Liu, P., Mokasdar, A., & Hou, L. (2013). Additive
Architecture from the University of California.Prof. L. D. Timmie Topoleski, University of Maryland, Baltimore County c American Society for Engineering Education, 2020 Engineering State of Mind Instrument: A tool for self-assessmentIntroduction Undergraduate student recruitment and retention in engineering continue to be animportant topic in higher education, especially as it relates to diversity and inclusion. In 2016about 45% of freshmen indicated they planned to major in an S&E field (up from about 8% in2000); [1]. While the number of degrees awarded in the STEM fields has increased steadily inthe past 10 years, only 16% of bachelor’s degrees awarded were engineering degrees. Best practices (i.e
the first mathematics course to retention and graduation.3, 11, 12 We also found thatSAS program worked equally well for both male and female students, and for both first-generation and non first-generation students in passing Calculus 1 course.The Current ResearchIn this follow-up study, we focused exclusively on students who utilized the peer tutoring SASprogram and examined these students’ perceptions of the peer tutoring and supplementalinstruction program across a wide range of core courses that implemented SAS tutoring.To become SAS program tutors, students must have successfully completed the core courses,receiving a grade of either an A or B in the course(s) they were hired to tutor. SAS tutors havesubstantial responsibilities as
Paper ID #30102Evaluating the Impact of Training on Increasing Cross Culture CompetencyDr. Joan B Schuman, Missouri University of Science and Technology Dr. Joan Schuman is an Associate Teaching Professor in the Engineering Management and Systems Engineering Department at Missouri S&T. She earned her Bachelor of Science degree in Mechanical Engineering from University of Arkansas and completed her Ph.D. in Polymer Science and Engineering from the University of Southern Mississippi. Schuman is a Project Management Professional (PMP) certified through the Project Management Institute. She worked for several years in the
shown on the 2D screen and provide feedback verbally. The conference call functioncould allow a second individual to participate the discussion in the immersive environment.Nevertheless, whether this function is only limited to one-to-one sessions, or how the bandwidthwill be hit if one-to-many sessions are allowed (e.g. a virtual classroom) is still underinvestigation.Acknowledgement The authors would like to express their sincere gratitude for the financial support fromthe College of Applied Science and Technology and from the SoTL Center, both at Illinois StateUniversity.Reference[1] Z. Pan, J. Polden, N. Larkin, S. Van Duin, and J. Norrish, “Recent progress on programming methods for industrial robots,” in ISR 2010 (41st
KEEN “3Cs” - Curiosity, Connections, and Creating Value.ReflectionIt is a practice of human nature to reflect on experiences of the past and present. However, in thecase of reflection, most people fail to recognize the use of these experiences to aid in the future.True reflection “on experience can be framed as an intentional and dialectical thinking processwhere an individual revisits features of an experience with which he/she is aware and uses one ormore lenses in order to assign meaning(s) to the experience that can guide future action (and thusfuture experience)” [1]. It takes various elements and perspectives to achieve reflective thinking.Schon simplified reflection down to two categories known as “reflection-on-action” and“reflection
personalized for each student, covering the topics needed, and progressing at the pace chosen by the student. At the onset, the student completes a self-test. The questions cover all the topics to be covered in an upcoming math course. Once in the math course, the instructor would expect the student to know all the prerequisite topics. However, this theoretical expectation is not always matched in practice. Upon completion of the self-test, the student is aware of the percentage of prerequisite topics s/he has mastered. ALEKS will then provide tutorials, along with quizzes, to ensure the student covers all the gaps that remain. 2.3. Learning Strategies Course First-year students were given the option to enroll in a zero-credit course
things to be done fast; their attention span has shrunk over the pastfew years. So, new engineering experiment designs have to take this into account. In thermalscience, an experiment that take over 40 minutes to reach steady state is considered very longand ‘boring’ by today’s students.Based on these trends, engineering professors are led to look for experimental designs that: can be constructed in-house with no money or little money can be duplicated to create more than one experimental station take relatively short time to perform have a clear and direct connection to theoretical concepts (not convoluted, so that students do not miss the point(s) of the experiment while trying to make sense of what they are doing
be a catalyst for discussions with engineering faculty. Reference[1] L. Ellis. (2019). As scholars are driven to less prestigious journals, new measures of quality emerge. Available: https://www.chronicle.com/interactives/Trend19-OpenAccess-Side[2] K. Hilstob, "Rewarding open access: The power of promotion and tenure," University of British Columbia, 2017.[3] J. D. Odell, H. L. Coates, and K. L. Palmer, "Rewarding open access scholarship in promotion and tenure: Driving institutional change," 2016.[4] S. H. Wical and G. J. Kocken, "Open access and promotion and tenure evaluation plans at the University of Wisconsin–Eau Claire," Serials Review, vol. 43, pp. 111
routeswith varying levels of difficulty also provided an opportunity for risk taking and success throughtrial and error. In other words, if a team originally chooses a route and/or sensor(s) that requireshigher levels of programming and they continue to fail, shifting to a different and possibly easiernavigational route can happen.Before students arrived, teams were randomly formed (two teams of five and three teams of sixstudents), lab facilitators and helpers assigned, and team packets prepared with event resources,such as team member role cards. PMTM 2.0 allowed each team member to choose their rolefrom the options shown in Table 1, and the mission recorder role from 2015 was removed andthe role of data engineer added. This was primarily based on
authors may receive royalties from sales of the zyBook detailed in this paper.Bibliography[1] B. Poulson. "Big Data in Data Science Foundations: Fundamentals." https://www.lynda.com/IT-tutorials/Big-data/2805908/2232722-4.html (accessed January, 2020).[2] S. Stephens-Davidowitz and S. Pinker, Everybody lies: big data, new data, and what the internet can tell Us about who we really are. HarperCollins New York, 2017.[3] A. Edgcomb and F. Vahid, "Effectiveness of Online Textbooks vs. Interactive Web- Native Content," in ASEE Annual Conference, Indianapolis, IN, 2014, doi: https://peer.asee.org/20351.[4] A. Edgcomb, F. Vahid, R. Lysecky, A. Knoesen, R. Amirtharajah, and M. L. Dorf, "Student Performance
. Jennison, "Saving the law professor: using rubrics in the teaching of legal writing to assist in grading writing assignments by section and provide more effective assessment in less time," UMKC Law Review, vol. 80, no. 2, p. 20, 2011.[5] L. Silvestri and J. Oescher, "Using Rubrics to Increase the Reliability of Assessment in Health Classes," International Electronic Journal of Health Education, vol. 9, pp. p25- 30, 2006.[6] D. R. Sadler, "Indeterminacy in the use of preset criteria for assessment and grading," Assessment & Evaluation in Higher Education, vol. 34, no. 2, pp. 159-179, 2009/04/01 2009.[7] G. L. Taggart, S. J. Phifer, J. A. Nixon, and M. Wood, Rubrics: A Handbook for Construction
, IN. 589–592, 1991.[2] Munir, S. and Book, W.J. “Control Techniques and Programming Issues for Time Delayed Internet Based Teleoperation,” ASME Journal of Dynamic Systems, Measurement, and Control, v125 n2, June 2003, pp.205-214.[3] Book, W.J. and Swanson, D.K. “Reach Out and Touch Someone: Controlling Haptic Manipulators Near and Far,” Annual Reviews in Control, International Federation of Automatic Control, Elsevier Science (Oxford, UK), vol 28, pp 87-95, 2003[4] Gomes, L., and Bogosyan, S., "Current Trends in Remote Laboratories," in IEEE Transactions on Industrial Electronics, vol. 56, no. 12, pp. 4744-4756, Dec. 2009.[5] Grodotzki, J., Ortelt, T.R. and Tekkaya, A.E., 2018. Remote and Virtual Labs for Engineering
Education and Human Develop- ment at George Mason University, USA. She is an educational researcher and pedagogical scholar with signature work in self-study research methodology including co-editor of Polyvocal Professional Learn- ing through Self-Study Research (2015) and author of Self-Study Teacher Research (2011) and lead editor of Learning Communities In Practice (2008). She is recipient of the Dissertation Research Award, Uni- versity of Virginia, the Outstanding Scholar Award, University of Maryland, a Fulbright Scholar, and a Visiting Self-study Scholar. She served as chair of S-STEP from 2013-2015 and is a current Co-PI of two National Science Foundation (NSF) funded grants: Designing Teaching: Scaling up the
future work. First, the currentsystem consists of three Python programs (or files), and the operation of the system requiressome command line inputs. It would be more convenient for a user (e.g. instructor) to use thesystem if the system could be integrated into a single application file with a Graphic UserInterface (GUI). Second, we will update the system for a more robust face recognition if acorresponding algorithm is available. Third, based on the survey, some students have a privacyconcern on face recognition. It is important to address this concern.References[1] B.K. Mohamed and C. Raghu, “Fingerprint attendance system for classroom needs,” IndiaConference (INDICON), Annual IEEE, 2012, pp. 433-438.[2] S. N. Shah and A. Abuzneid, “IoT based
achieve thesame research objective(s). In the fourth year, all the REU participants worked in group projectsetting. In addition, each group of REU participants was required to complete a group projectreport discussing the social impacts of their research projects. In both individual project andgroup project settings, REU participants were provided ample opportunities to share theirresearch progress through formal and informal presentations in order to enhance REUparticipants’ understanding and broaden their perspective of energy systems challenges. Inaddition, each REU participant was required to submit an individual final research project report,in order to highlight their findings through an individual poster presentation and give anindividual
to one another during the career decision-making process(Lent et al., 1994). SCCT served as the basis of the interview protocol administered in this study,the deductive data analysis process, and in considering the implications of the study.Figure 1Social Cognitive Career TheoryNote. From “Toward a Unifying Social Cognitive Theory of Career and Academic Interest,Choice, and Performance,” by R. W. Lent, S. D. Brown, and G. Hackett, 1994, Journal ofVocational Behavior, 45, pp. 79-122.MethodologyResearch design. An embedded, multiple-case study design (Yin, 2018) was utilized to explorethe ways in which 22 engineering postdoctoral scholars describe the appeal of pursuing a careerin the professoriate. Interviews, grounded by SCCT (Lent et al
for EAC programs) and CETAA (CommitteeTelecommunication(s) for ETAC programs) committee meetings.INCOSE, Systems No Still working on initial criteria requirementsSNAME, Naval Architecture and Feedback from program heads and discussion No Yes Ad hocMarine Engineering among society reps. Any changes to Program Criteria have beenSPIE, Optical and
also by generating some turnover among the participants.In the long run the successful implementation of the cooperation will result in increasinginterest of local pupils to study engineering at LUT University. However, it will take a longtime before the full potential of the cooperation is in use, and therefore these other indicatorsof the effectiveness of the activities must be systematically developed and applied.References[1] H. Kirschenbaum & C. Reagan, “University and urban school partnerships. An analysis of57 collaborations between university and a city school district,” Urban Educ. vol. 36, no. 4,pp. 479–504, Sep. 2001, doi:10.1177/0042085901364003[2] S. Sjøberg & C. Schreiner, “The ROSE project. An overview and key findings
of Applied Social Research, Columbia University, 1964. [3] J. Harp and P. Taietz, “Academic Integrity and Social Structure: A Study of Cheating among College Students,” Oxford Univ. Press. Soc. Study Soc. Probl., vol. 13, no. 4, pp. 365–373, 1966. [4] D. L. McCabe, “Classroom Cheating Among Natural Science and Engineering Majors,” Sci. Eng. Ethics, vol. 3, no. 4, pp. 433–445, 1997. [5] D. D. Carpenter, T. S. Harding, C. J. Finelli, S. M. Montgomery, and H. J. Passow, “Engineering Students’ Perceptions of and Attitudes Towards Cheating,” J. Eng. Educ., vol. 95, no. 3, pp. 181–194, Jul. 2006. [6] H. J. Passow, M. J. Mayhew, C. J. Finelli, T. S. Harding, and D. D. Carpenter, “Factors
student assignments and be used the following year to assess how students connectchemical engineering outside of the classroom. In addition, we hope that the increase in samplesize will show more distinct differences amongst the groups.References 1. Zappe, S., & Leicht, R., & Messner, J., & Litzinger, T., & Lee, H. W. (2009, June), “Flipping” The Classroom To Explore Active Learning In A Large Undergraduate Course Paper presented at 2009 Annual Conference & Exposition, Austin, Texas. https://peer.asee.org/4545 2. Bays-Muchmore, M. F., & Chronopoulou, A. (2018, June), First-Year Engineering Students Perceptions of Engineering Paper presented at 2018 ASEE Annual Conference & Exposition
-Colleges-Are- Best- and/245758?cid=at&utm_source=at&utm_medium=en&elqTrackId=61c76ff393544f33916 cdf7efa62f902&elq=1228defe891449bf8337f489863032f4&elqaid=22356&elqat=1&elqC ampaignId=110123. Burgher, J.K., D. M. Finkel, B. J. Van Wie, and O. O. Adesope, "Implementing and Assessing Interactive Physical Models in the Fluid Mechanics Classroom," International Journal of Engineering Education, vol. 32, no. 6, pp. 2501–2516, 2016.4. Hunsu, N.J., O. Adesope, and B.J. Van Wie, “Engendering situational interest through innovative instruction in an engineering classroom: what really mattered?” Instructional Science, vol. 45, pp. 789-804, 2017.5. Liu C., C. Chen, S. Chen, T. Tsai, C. Chu, C
pedagogical underpinnings of Active Learning in Engineering Education,” Eur. J. Eng. Educ., vol. 42, no. 1, pp. 5– 16, 2017.[3] E. J. H. Spelt, P. A. Luning, M. A. J. S. van Boekel, and M. Mulder, “A multidimensional approach to examine student interdisciplinary learning in science and engineering in higher education,” Eur. J. Eng. Educ., vol. 42, no. 6, pp. 761– 774, 2017.[4] D. Gerrard and C. Variawa, “Bridges and barriers: A multi-year study of workload- related learning experiences from diverse student and instructor perspectives in first- year engineering education,” in ASEE Annual Conference and Exposition, 2018.[5] T. Geyer and W. R. Loendorf, “Handling increased faculty and student workload
,” International Political Sociology, vol. 10, no. 4, pp. 332-351, 2016.[5] S. J. Davis, K. Caldeira, and H. D. Matthews, “Future CO2 emissions and climate change from existing energy infrastructure,” Science, vol. 329, no. 5997, pp. 1330-1333, 2010.[4] J. Currie, M. Greenstone, and K. Meckel, “Hydraulic fracturing and infant health: New evidence from Pennsylvania,” Science Advances, vol. 3, no. 12, 1603021. 2017.[5] F. Caiazzo, A. Ashok, I. A. Waitz, S. H. L. Yim, and S. R. H. Barrett, “Air pollution and early deaths in the United States. Part I: Quantifying the impact of major sectors in 2005,” Atmospheric Environment, vol. 79, pp. 198-208, 2013.[6] I. C. Dedoussi and S. R. H. Barrett, “Air pollution and early deaths in the