students’ situations as impacted by the pandemic (e.g., different timezones, social and emotional issues, technical and technological issues); (b) providingconstructive feedback to students while remaining consistent in addressing matters of discipline;(c) exhibiting respect and fairness for the class during breakout group sessions; and (d)enhancing students’ motivation by sharing personal learning experiences to demonstrate therelevance of the course to future goals.Perceived Student EngagementNear the halfway mark of the semester, a check-in survey was given to first-year students inNovember 2020. A total of 657 students responded to the survey. It showed that while first-yearstudents had started to acknowledge the increase in their course
. Figure 6 shows the exampleprojects implemented. Figure 6 a. shows the final prototype of granted access only doorwaysystem, and Figure 6 c. shows the prototype of simple robot with echolocation capability. Fig. 6: a. Smart lock with limited granted access9, b. simple robot with echolocation capability10. Summary and ConclusionsIntegrating Computational Thinking aspects in teaching a programming language helped studentsto think beyond a given programming language or a project. To explore different ways to promoteactive engagement in an interdisciplinary class, three active learning techniques were explored asstrategies. It was observed that when students
: Current status of the IPPThe traffic barrel has been identified as the obstacle to be classified and avoided. First, the IPPsetup was trained to images of the traffic barrel as shown in Figure 2.Training data setFigure 2(a) depicts typical images of the use of the traffic barrel on roadways and highways.Figure 2(b) illustrates the use of the traffic barrels as obstacles along the course of the IGVC. (a) (b) Figure 2: Traffic barrel (a) highway uses (b) obstacle courseThe IGV, which requires video in real-time, captures the feed using a single camera. The IGVcan operate using visual acuity and data information as seen in Figure 3.Test data – Webcam feedFigure 3(a
look into the student writing samples. A B C D E F G H I J K L M N O P Q R S A Centrality of Military & Corporate 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 2 0 0 B Commitment to Problem Solving 0 6 3 9 0 0 3 0 1 0 5 1 2 20 0 6 0 2 C Narrow Technical Focus 0 6 0 0 1 0 1 0 1 0 2 0 0 4 1 1 0 1 D Persistence 0 3 0 1 0 0 0 0 1 0 0 0 0 3 1 1 0 0 E
Proceedings, 2002, pp. 7.528.1-7.528.14, doi: 10.18260/1-2--10558.[5] B. Mertz, H. Zhu, A. Trowbridge, and A. Baumann, “Development and Implementation of a MOOC Introduction to Engineering Course,” in 2018 ASEE Annual Conference & Exposition Proceedings, Jun. 2018, vol. 2018-June, doi: 10.18260/1-2--30317.[6] C. Brozina and D. Knight, “Credentialing MOOCs: A Case Study,” in 2014 ASEE Annual Conference & Exposition Proceedings, 2014, pp. 24.340.1-24.340.9, doi: 10.18260/1-2-- 20231.[7] J. Green and A. Cohen Sherman, “Leveraging MOOCs to Bring Entrepreneurship and Innovation to Everyone on Campus,” in 2014 ASEE Annual Conference & Exposition Proceedings, 2014, pp. 24.864.1-24.864.12, doi: 10.18260/1
theSecondary Course List B, presented in Table 2. Students may choose to take all 4 courses fromList A. Other approved TE courses (MAE 493) or selected graduate courses (MAE 593) may beused as substitutes with ad-hoc approval by the MAE AECC. Both List A and B are open andsubject to periodical revision and extension by the AECC.The curricular structure has been designed such that the learning outcomes of the AoE areachieved as desired. Table 3 presents how the courses in List A are connected to the expectedlearning outcomes. Table 1. Primary Course List A for the AoE in UAS Course # Course Title MAE 361 Introduction to Unmanned Aerial Systems MAE 457
stands for the positionformat which describes the position data. The third describes the feed rate of the code for the giveninstruction block. This could be programmed for 1 to 100% for any feed rate programmed into therobot. Finally, the fourth describes the positioning path that the robot will take depending on themotion format being either labeled as FINE or CNT. Defining the variables for motion programming canbe resulted to analyze the cycle times and consistency variables.3. Results and AnalysisIn this study, two factors were considered, the speed of the manipulator (factor A) and the terminationbath (factor B). The levels of interest for factor (Speed A) have been used as follows: 1000 mm/sec aslow level, and 2000 mm/sec as high level
Paper ID #35663BEST OVERALL DIVERSITY PAPER WINNER - An Exploratory Study ofIntentionality Towards Diversity in STEM Faculty HiringMs. Samara Rose Boyle, Rice University Samara is an undergraduate studying neuroscience at Rice University in Houston, TX. She works as a research assistant for Dr. Yvette E. Pearson in the George R. Brown School of Engineering. Her primary research focus is the advancement of diversity, equity, and inclusion in engineering education.Dr. Canek Moises Luna Phillips, Rice UniversityDr. Yvette E. Pearson P.E., Rice UniversityDr. Reginald DesRoches, Rice UniversityProf. Stephen P. Mattingly, The University of
Paper ID #32176Including Alice: Uncovering the Narrative of One Student’s Experience atthe Intersection of International Student Status and Mental HealthMaimuna Begum Kali, Florida International University Maimuna Begum Kali is a Ph.D. student in the Engineering and Computing Education program at Florida International University (FIU), in the School of Universal Computing, Construction, and Engineering Ed- ucation (SUCCEED). She completed her B.Sc. in Computer Science and Engineering at the Bangladesh University of Engineering and Technology (BUET) in Bangladesh. She began her Ph.D. study in Com- puter Science but
computing program to expand thepatterns; 3) consider school policies and investigate cultural differences among the institutionsavailable in MIDFIELD database; and last but not least, 4) further explore these results throughboth quantitative and qualitative studies in order to better understand learning challenges.References [1] W.-C. J. Mau, “Characteristics of us students that pursued a stem major and factors that predicted their persistence in degree completion.” Universal Journal of Educational Research, vol. 4, no. 6, pp. 1495–1500, 2016. [2] B. Brinkman and A. Diekman, “Applying the communal goal congruity perspective to enhance diversity and inclusion in undergraduate computing degrees,” in Proceedings of the 47th ACM technical
such as cost, schedule, structural member sizing, etc.MethodologyThere was a total of 30 students in the temporary structure class. For a specific assignment wasprepared to introduce parametric software, students were tasked with designing the formwork fora slab. For this project, the thickness of the concrete slab was given 6 inches, the slab's length (L)292.33ft, and the width of the slab (W) 123.33 ft. For designing concrete formwork, studentsneeded to make some assumptions such as temperature, rate of placement, and other concreteproperties. Four components were considered as part of the slab formwork design as shown inFigure 1: A) SJ- sheathing (plywood panel); B) Joist – horizontal structural member supportingsheathing; C) Stringer
Appendix B). This formula rewards levers that werelightweight and fail at the target value, 30 pounds. There is an initial penalty of 20% for anylever that fails under 30 pounds. As the failure load diverges from 30, and the heavier the leveris, the greater the penalty. The students were attempting to achieve a tolerance range of minuszero to plus three pounds for the best possible score.1) In the first lab (Lab 3a), the students were provided with the design criteria for the lab (SeeAppendix A). The crux of the design is the students were attempting to have the lever fail asclose to a 30 lb. load as possible without going under. Each student arrives at a design (whichthey hand sketch only) after completing their analysis calculations. Analysis
, and G. B. Forsythe, "Leadership development for engineering managers," Journal of Management in Engineering, vol. 13, no. 4, pp. 38-41, 1997.[2] B. Van Knippenberg, D. Van Knippenberg, D. De Cremer, and M. A. Hogg, "Research in leadership, self, and identity: A sample of the present and a glimpse of the future," The Leadership Quarterly, vol. 16, no. 4, pp. 495-499, 2005.[3] C. J. Atman et al., "Enabling Engineering Student Success: The Final Report for the Center for the Advancement of Engineering Education. CAEE-TR-10-02," Center for the Advancement of Engineering Education (NJ1), 2010.[4] E. Erikson
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
Paper ID #28395Social-cognitive leadership theory of SHPE’s premier leadershipconference for undergraduates and professionals in the STEM workforceMs. Sophia Lauren Plata, University of Southern California ´ Florida International UniversityIndhira Mar´ıa Hasbun, Indhira Mar´ıa Hasb´un is a Ph.D. candidate and Graduate Research Assistant in the School of Universal Computing, Construction, and Engineering Education (SUCCEED) at Florida International University (FIU). Her research analyzes the interplay between institutional structures, culture, and agents at Hispanic- Serving Institutions (HSIs) with a
Conference on Construction and Real Estate Management, 2018, pp. 125–131.[2] N. Labonnote, A. Rønnquist, B. Manum, and P. Rüther, “Additive construction: State-of- the-art, challenges and opportunities,” Autom. Constr., vol. 72, pp. 347–366, 2016, doi: 10.1016/j.autcon.2016.08.026.[3] P. Pradhananga, M. ElZomor, and G. S. Kasabdji, “Identifying the Challenges to Adopting Robotics In the U.S. Construction Industry,” J. Constr. Eng. Manag., 2021.[4] P. Wang, P. Wu, J. Wang, H. L. Chi, and X. Wang, “A critical review of the use of virtual reality in construction engineering education and training,” Int. J. Environ. Res. Public Health, vol. 15, no. 6, 2018, doi: 10.3390/ijerph15061204.[5] A. Shepherd and B
discussionbefore, during and at the end of the semester.The final course grades are also compared between the CBL offering in Fall 2020 and the previousFall 2019 offering (traditional approaches). Figure 2 shows the percentage in grade distributionbetween the two offerings. The chart shows that the percentage of “A” and “B” grades was similar,but fewer students failed the course (corresponding to a grade of “D”, “F” or “W” – students areallowed to withdraw from the class at any point during the semester) in Fall 2020 when CBL wasimplemented with respect to the previous offering. Our experience of CBL pedagogy particularlysupports the weaker students, by focusing on their learning of the fundamental class topics.Figure 2. Course grade distribution (in
discussed theresults in the context of established metal corrosion mechanisms. The discussion emphasized thations present in the low salt condition would increase the rate of metal corrosion and the lack ofdissolved oxygen in the saturated salt condition would decrease the rate of metal corrosion [31].To conclude, students completed a post-test and post-survey to assess how their knowledge ofbiomaterials and attitudes towards STEM changed as a result of the experiment, respectively(Appendices A & B). Figure 1: Representative data demonstrating successful paperclip corrosion and quantitative fatigue bendingtests. (A) Example of a corroded paperclip after incubation in salt water. (B) Schematic representation of paperclip fatigue bending test
Paper ID #32258Minority Student Experiences in Engineering Graduate Programs:Socialization and Impact on Career TrajectoriesDr. Catherine T. Amelink, Virginia Polytechnic Institute and State University Dr. Amelink is Associate Vice Provost for Learning Systems in the Office of the Provost at Virginia Tech. She is also an affiliate faculty member in the Departments of Engineering Education and Educational Leadership and Policy Studies at Virginia Tech.Dr. Mayra S. Artiles , Arizona State University Mayra S. Artiles is an assistant professor in engineering at the Polytechnic School of the Ira A. Fulton Schools of Engineering
products and services forthe future, Greenleaf Publishing, Sheffield, UK.Cheah, H.-B., & Cheah, E. (2002). Towards sustainable learning. Proceedings of theInternational Conference on Computer in Education, 1, 569 – 573.Dickinson, D. A., Mosovsky, J. A., Caudill, R.J., Watts, D.J., & Mnrahito, J.M. (2002).Application of the sustainability target method supply line case studies. IEEE InternationalSymposium on Electronics and the Environment, 139 – 143.Diehl, J.C., Boks, C., & Silvester, S. (2005). The evolution of design for sustainability courses.Fourth International Symposium on Environmentally Conscious Design and InverseManufacturing, 78 – 85.Farrell, A. (1996). Making decisions about sustainability: joining social values with
Paper ID #35686Language Impacts of Early Child EducationMiss Gabriela Maria Morales, University of South Carolina Beaufort I am a senior at the University of South Carolina Beaufort where I studied computer science. I am a first generation student to study in the United States in my family. This summer I had the pleasure to work with a local boys and girls club early education facility where I discovered how important a cultural impact can have on a child’s development.Ronald Erdei, University of South Carolina Dr. Ronald Erdei is an Assistant Professor of Computer Science at the University of South Carolina Beau
model to be applied in an educational setting [35]. Papert’s model focusesmore on the ways in which technology and media may be used to facilitate student learningchoices and promote life-long learning [34]. Two essential components of the constructionistlearning theory are further explored below.These two essential principles of the learning theory are identified by Kafi [6] as : (a) knowledgeconstruction and (b) learning culture. Elements of these components are highlighted in Figure 1. Knowledge Learning Construction Culture •Object •Teacher as Guide
-winning outreach activities, teaching, and learning in the technical environment andsuccess in teaching in the online environment, and volunteering with kids of all ages. Drawingon that expertise, they were able to address the following questions through programdevelopment and execution. 1. What demographic would benefit most from a virtual STEM camp program? a. How do you interact with participants using similar materials and a range of ages? b. How do you engage with these students who may be experiencing video burnout? c. What timing works best to achieve the goal of fun but an educational program? 2. How does the program timing affect the impact of the material and engagement?MethodsOne hundred fifty participants from
the PD. Collaborative design activities undertaken by the counselors allowed them topractice key traits of engineers, including problem-solving, design thinking, creativity,innovation, and collaboration. Participants were prompted to build a tower out of spaghettinoodles (Figure 1a), construct a rain shelter from newspaper (Figure 1b), and construct a roboticarm (Figure 1c). Examples of participants’ work are presented in figures below. A B C Figure 1. Sample projects from the PD program: a) spaghetti tower, b) newspaper shelter, and c) robotic armPhase III of the PD program involved sharing information about engineering
Paper ID #33437Inclusive Writing: Pre- and Post-COVID-19Dr. Teresa L. Larkin, American University Teresa L. Larkin is an Associate Professor of Physics Education and Director and Faculty Liaison to the Combined Plan Dual-degree Engineering Program at American University. Dr. Larkin conducts ed- ucational research and has published widely on topics related to the assessment of student learning in introductory physics and engineering courses. Noteworthy is her work with student writing as a learning and assessment tool in her introductory physics courses for non-majors. One component of her research focuses on the role
. 144–152, 2013.[10] I. Drewelow, “Exploring graduate teaching assistants’ perspectives on their roles in a foreign language hybrid course,” System, vol. 41, no. 4, pp. 1006–1022, 2013.[11] J. Paulsen and A. C. McCormick, “Reassessing Disparities in Online Learner Student Engagement in Higher Education,” Educ. Res., vol. 49, no. 1, pp. 20–29, 2020.[12] K. Sobel, S. Avery, and I. J. Ferrer-Vinent, “Teaching Them to Teach: Programmatic Evaluation of Graduate Assistants’ Teaching Performance,” Public Serv. Q., vol. 12, no. 3, pp. 189–213, 2016.[13] B. C. O. Neal, M. Wright, T. Perorazio, and J. Purkiss, “The Impact of Teaching on Student Retention in the Sciences,” 2002.[14] B. Melton and Y. Bodur, “Effects of a
Engineering from the University of North Texas, Denton in 2018. She earned her Masters of Technology (M.Tech) in VLSI design from VIT University, India, in 2015 and Bachelors of Technology (B. Tech) in Electronics and Communication from SRM University, Chennai, India, in 2011. Currently, she is working with a diverse multi-disciplinary research group of Graduates, Undergraduates, and High Schoolers as the Director of the Intelligent Systems Laboratory (ISL) at UT Tyler. As a Faculty at the University of Texas at Tyler, she has been involved in outreach activities in East Texas to broaden participation in STEM. American c Society for Engineering Education
,” Journal of Appplied Physics 87(6), 3122-3125 (2000)5. Vassuer, J. O., Deymier, P. A., Frantziskonis, G., Hong, G., Djarjari-Rouhani, B., Dobrzynksi, L. 1998, “Experimental evidence for the existence of absolute acoustic band gaps in two-dimensional periodic composite media,” J. Phys.: Condens. Matter 10, 6051-6064. (1998) Proceedings of the 2008 ASEE Gulf-Southwest Annual Conference The University of New Mexico – Albuquerque Copyright © 2008, American Society for Engineering EducationRYAN SCHNALZERRyan Schnalzer received his B.S
, Fundamentals of Quality Control and Improvement, 3rd ed. Hoboken, New Jersey: John Wiley and Sons, 2008.[7] S. Eppinger and T. Browning, Design structure matrix methods and applications. Cambridge, Massachusetts: MIT Press, 2012.[8] B. Nassersharif and C. Rousseau, “Best Practices in Assessing Capstone Design Projects,” 2010.[9] B. Morkos, S. Joshi, and J. D. Summers, “Investigating the impact of requirements elicitation and evolution on course performance in a pre-capstone design course,” J. Eng. Des., vol. 30, no. 4–5, pp. 155–179, 2019, doi: 10.1080/09544828.2019.1605584.[10] R. H. Todd, C. D. Sorensen, and S. P. Magleby, “Designing a Senior Capstone Course to Satisfy Industrial Customers,” J. Eng
virtual I2E event, theauthors modified the directions for the second event in response to questions raised by students.In the first design challenge event, students realized that the mug could be exploited as astructural member in the design – specifically, that the paper could be loaded in tension veryeffectively by placing coins on the paper directly over the rim of the cup. To allow for a richerpost-design discussion, students were divided into approximately equal-sized groups; Group 1could place coins directly over the rim of the cup, and Group 2 could not. Some of the moreunique Group 1 designs included a) paper folded in half with a ring of coins placed over the edgeof the mug’s rim, b) paper folded and creased downward over the mug’s edge