forintegrated STEM education in early childhood classrooms. Moreover, we will gather data oninteractions among members of the interdisciplinary design teams, and subject these data todiscourse analysis in order to observe the types and nature of interaction among ECE and ENGstudents. These data will be used to triangulate the results of the analysis of survey data and willsupport revisions and enhancements to learning opportunities afforded to students in futureofferings of these courses. References Bailey, R. (2007). Effects of industrial experience and coursework during sophomore andjunior years on student learning if engineering design. Journal of Mechanical Design, 129(4),662-667. Brophy, S
detailed engineering drawings, animations, and photorealisticrenderings. Typically, each week (two class periods) consisted of the following: Period 1: o Instructor presented the lesson(s) overview PowerPoint to the students. o Students were assigned to complete the lesson(s). The instructor emphasized following the guide with great detail and accuracy. Period 2: o Class reviewed the previous lesson(s). Instructor displayed and discussed modeling practices/procedures for the corresponding models provided in the lesson(s). o Instructor administered an online quiz in regard to that weeks’ lesson(s) o Students were assigned to complete the lesson(s
class, did not have any work experience.These numbers are important to show why it is essential to design the class with a focus onpractical applications, and structure the assignments with this focus, which we will discuss inmore detail below. Table 1 Learning Outcomes Covered by Each Assignment/Activity Targeted Learning Assignment/Activity Description Outcome(s) Case studies, quantitative problems, conceptual short Homework
question was asked on homework in these offerings as well. The homework assignments were provided to the students in the current offering but not assigned for credit. “What major assumption(s) did you make in problem 2 [holding the shank of the leg in the air] to make the problem tractable (able to calculate the muscle force) and describe in one sentence why this is/these are valid?” Essentially the same question regarding simplifications (single muscle acting at a point, frictionless joint) was asked in the four previous offerings. “The way our bodies are structured, the forces in the muscles and bones are very high for relatively low external forces (e.g., the 5 lb. weight I held out at arm’s length in class resulted in tens of
-Seng Pang and Jerry Pack, ”Stress analysis of non-conventional composite pipes” Journal of Composite Structures, 79(1), 2006, pp. 125-132. 3. M.A. Wahab, M. S. Alam, M.J Painter and P.E. Stafford, ”Experimental and Numerical Simulation of Restraining Forces in Gas Metal Arc Welded Joint,” American Welding Journal (Research c American Society for Engineering Education, 2017 Paper ID #17950Supplement) 85(2), February, 2006. 4. M.S. Alam and M.A. Wahab, ”Modeling of Fatigue Crack Growthand Propagation Life of Joint of Two Elastic Materials Using Interface Elements,” International Journal ofPressure Vessel and
reliability; and further work that needs to be undertaken to create aninstrument able to guide and inform the teaching of effectuation in the classroom.Theoretical frameworkThe theory of effectuation was first proposed by Sarasvathy in the early 2000’s as an explanationfor how expert entrepreneurs act when faced with decisions at the early stage of venture creation1,15 . The work takes a grounded theory approach to unpacking the entrepreneurial behaviortermed ‘intuitive’ by Knight13 in 1921. The intuition that Knight names, and which Sarasvathyexplains, describes the behavior of individuals when faced with highly uncertain situations whereit is impossible to make meaningful calculations of risk 13. Sarasvathy proposed that expertentrepreneurs
Possible Consideration Level Level Time Level In-class Pre- Well suited to 2-3 2-3 class Low. System Indirect Centers on teacher approach professional young planning periods aware of S-L, Advocacy control as it introduces Beginning students or periods but not using S-L elements in the students with the method classroom with relatively high
”included a claim about a design that was supported by anything else, whether that support was apiece of evidence or a warrant. Data So, Qualifier , Claim Since Unless Warrant Rebuttal On account of BackingFigure 1. Toulmin’s Argument Pattern23. Adapted from The Uses of Argument (p. 97), by S. E.Toulmin.The Framework for Quality K-12 Engineering Education was designed to inform thedevelopment and evaluation of curricula, standards, and other education initiatives related to K-12 engineering education24. The framework is made up of nine indicators that
you to design a fountain. As a member of the National Fluid Power Association, he requires that one or more of the nozzles is controlled by a hydraulic system which will allow the nozzle(s) to move the water jet(s) in some sort of pattern. The water jet(s) from the movable nozzle(s) must be high enough pressure to allow for a sufficient water height. He wants this fountain to be an attraction for his customers. You will need to consider a water delivery system, filter(s), a piping system, hydraulic system, and other components for this fountain. Preliminary Reply Investigation: some (not all) considerations during the first week: What major components are needed for a fountain and
engineering majors.T-SITE: A UMBC COMMUNITY OF TRANSFER SCHOLARS 2T-SITE is funded by the National Science Foundation (NSF) Scholarships in Science, Technology,Engineering, and Mathematics (S-STEM) program and managed by the Center for Women inTechnology (CWIT) at the University of Maryland, Baltimore County (UMBC). CWIT hasimplemented three S-STEM Scholars programs since 2007. The first, “Scholarships in IT &Engineering (SITE)” (DUE-0630952) served 30 students through spring 2011, 50% of whom werewomen or underrepresented minorities. CWIT’s second and third S-STEM projects are titled, “ACommunity of Transfer Students in Information Technology and Engineering (T-SITE)” (DUE-1154300) and “A
necessary as sometimes we are interested inless information. The Routh Table allows us to quickly find out if there are roots in the right hand side of the s-plane and, if there are, how many. This indicates stability or instability of the closed loop system.The following steps show how to obtain the Routh Table for our specific example. 50 1+ 2 =0 𝑠(1 + 𝑠⁄20) The equation can be rewritten as: 2 𝑠(1 + 𝑠⁄20) + 50 = 0 1 1 𝑠3
careers to solvesocietal challenges that mitigate and prepare for climate change and its global implications forsustainability. Attached below is the survey instrument developed and currently undergoing validatingand reliability testing.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1635534. Any opinions, findings, and conclusions or recommendations expressed in this material arethose of the author(s) and do not necessarily reflect the views of the National Science Foundation.ReferencesABET. (2013). Criteria for accrediting engineering programs, 2014 - 2015. Retrieved from http://www.abet.org/eac-criteria-2014-2015/Allenby, B., Murphy, C., Allen, D., & Davidson, C. (2009
the linkograph for Team 2’s design episode, while Table 3 summarizes of thedata taken from the linkography analysis for all three teams. The link index is the ratio betweenthe number of links and the number of moves that generate them. The link index, together withthe critical moves serve as an indication of the amount of linking activity and is used inevaluating the effectiveness of a design session (Kan & Gero, 2007).Figure 1: Linkograph for Team 2Table 3: Quantitative results of linkography analysis Team 1 Team 2 Team 3 Total moves 61 125 202 Total links 122 209
2000” Technical Communication Quarterly, 10(2), 2001, pp. 149-soft skill information would have been better served earlier 167.in their engineering coursework, and that they did not see a [12] Burrows, A. C., & Harkness, S. S. “Experiencing action evaluation’sreason for it so late in the graduation requirements. The first cyclic process: partnering conflict, reflection, andauthor was discouraged that the student group did not make action” Educational Action Research, 24(4), 2016, pp. 460-478.a connection with future engineering positions and projects
Paper ID #20898High School ACT Math Scores: Why and How Do We Use Them?Dr. Sungwon Steven Kim, Minnesota State University, Mankato Dr. Sungwon S. Kim joined the Mechanical Engineering faculty at MSU Mankato in January of 2011. He received his Ph.D. degree in Mechanical Engineering from Purdue University (2008), working in the area of synthesizing carbon nanotubes, his M.S. degree in Mechanical Engineering from Korea Advanced Institute of Science and Technology (KAIST), working in the area of designing and analyzing double spiral heat exchangers, and his B.S. degree in Mechanical Engineering from Korea University (2000
is applicable across CAD software packages and independent of instructorbackground.BackgroundA Concept Inventory is a tool that uses a multiple choice assessment with carefully chosendistractors. These distractors are typically influenced by student responses to find commonlymisconceived concepts. The engineering graphics CI is framed around 10 main conceptsidentified by a Delphi study comprised of graphics professionals [2]. More information regardingthe origin of this particular CI and the Delphi study can be found in Sadowski, M and Sorby, S.2013 and 2014.Solid modeling constructs were identified as important by the Delphi panel [3] but the pilot studyof the CI using the original CAD-related questions developed by the researchers did not
and teaching, 21st century learning skills, using technologyin the classroom, and STEM career awareness (The Friday Institute for Educational Innovation,2012b). The Teaching Design, Engineering and Technology (DET) survey measures teacherperceptions and familiarity with these subjects and perceived barriers to teaching these topics.The DET survey has 40 questions using a 5 point Likert scale (Tao, Purzer, & Cardella, 2011).TRAILS students are being surveyed to assess interest and confidence in learning STEMsubjects as measured by the Students Attitudes Toward STEM Survey (S-STEM) for middle andhigh school students (Friday Institute for Educational Innovation, 2012a). Student participantsare surveyed in both the experimental and comparison
educational partners; 2. Consideration of applicant’s letter(s) of recommendation; 3. Consideration of applicant’s statement describing the reason for his/her interest in participation in this program, in addition to his/her commitment to seeing this program through the summer and into the classrooms; 4. Consideration of applicant’s mentoring history in the classroom, including developing innovative teaching methods in STEM fields, leadership in after-school STEM activities, encouragement of students to participate in external outreach programs (for in-service teachers only). 5. Additional consideration of GPA (>3.0) for pre-service teachers, their extracurricular
academic performance. Thepercentile of students from each academic program participating in the honors program isshown in Table 1.In light of the above success, a second program using a similar model was established. TheSchool of Engineering has an S-STEM grant which is currently in its final year ofadministration to support scholarships for females, minorities and economically challengedstudents. The activities produced for this cohort have been singled out by the students andthrough program assessment as being impactful for student success to aid them in maintainingthe grade point averages to keep their scholarships (> 2.5 for freshman; >3.0 all years after). Table 1. Percentage of Honors Students in Each Discipline from 2006-20161
mentoringprimarily suited to only one of their multiple hats. Given their limited resources, this is also aconcern for formal faculty development programs. In this section, we will show how the primaryskill sets from Arreola et al.'s "Meta-Profession" project [12] are orthogonal to and illustratesome of the available sources of faculty mentoring and faculty development programs across themultiple hats faculty wear. Part of our choice of the Meta-Profession project is rooted in itsorigins: the concept grew out of the need to define the role of teaching in a comprehensivefaculty evaluation program [13]. As such, the skills sets described below are formed for use asmentoring/development prompts, a part of faculty evaluation, and a means to supporting
Materials Science Engineering from Alfred University, and received his M.S. and Ph.D., both from Tufts University, in Chemistry and Engineering Education respectively. Dr. Carberry was previously an employee of the Tufts’ Center for Engineering Education & Outreach and manager of the Student Teacher Outreach Mentorship Program (STOMP).Dr. Trevor Scott Harding, California Polytechnic State University, San Luis Obispo Dr. Trevor S. Harding is Professor of Materials Engineering at California Polytechnic State University where he teaches courses in materials design, biopolymers, and nanocomposites. Dr. Harding has served as PI of a multiinstitutional effort to develop psychological models of the ethical decision making of
Empirical Study. Paper presented at the International Conference of Design Research Society.Anderson, E. (2003). A place on the corner (2nd Edition ed.). Chicago: University of Chicago Press.Atman, C. J., Adams, R. S., Cardella, M. E., Turns, J., Mosborg, S., & Saleem, J. (2007). Engineering design processes: A comparison of students and expert practitioners. Journal of Engineering Education, 96(4), 359-379.Brown, G. S., & Strange, C. (1981). The Relationship of Academic Major and Career Choice Status to Anxiety Among College Freshmen. Journal of Vocational Behavior, 19(3), 328-334. doi:10.1016/0001-8791(81)90067-1Crismond, D. P., & Adams, R. S. (2012). The Informed Design Teaching and Learning
Thinking Teacher Resources (Second ed.).Couse, L. J., & Chen, D. W. (2010). A tablet computer for young children? Exploring its viability for early childhood education. Journal of Research on Technology in Education,43(1), 75–98.Dasgupta, A., & Purzer, S. (2016, October). No patterns in pattern recognition: A systematic literature review. In Frontiers in Education Conference (FIE), 2016 IEEE (pp. 1-3). IEEE.Hynes, M. M., & Moore, T. J., & Cardella, M. E., & Tank, K. M., & Purzer, S., & Menekse, M., & Brophy, S. P. (2016, June), Inspiring Computational Thinking in Young Children's Engineering Design Activities (Fundamental). In the Proceedings of the 2016 ASEE Annual
fostering supportive communities in undergraduate physics departments.Dr. Chandra Anne Turpen, University of Maryland, College Park Chandra Turpen is a Research Assistant Professor in the Physics Education Research Group at the Uni- versity of Maryland, College Park”s Department of Physics. She completed her PhD in Physics at the University of Colorado at Boulder specializing in Physics Education Research. Chandra’s work involves designing and researching contexts for learning within higher education. In her research, Chandra draws from the perspectives of anthropology, cultural psychology, and the learning sciences. Through in-situ studies of classroom and institutional practice, Chandra focuses on the role of culture
: Student feedback rubric for laboratory notebooks PointsSection Requirements PossibleTitle & Objective Clearly captures the daily goal(s) of the lab 3Materials & Methods Descriptions of experiments & materials clearly provided 4Results & Discussion All data, graphs, & relevant discussion is documented 4Observations, Notes Observations, errors, & future improvements are detailed 3Presentation Notebook is neat, organized, & has labeled tables/figures
. (2007, March). Alice, middle schoolers & the imaginary worlds camps.In ACM SIGCSE Bulletin (Vol. 39, No. 1, pp. 307-311). ACM.Ali, A., & Shubra, C. (2010). Efforts to reverse the trend of enrollment decline incomputer science programs. The Journal of Issues in Informing Science and InformationTechnology, 7, 209-225.Atiq, S. M., Ingle, D., & Meshram, B. B. (2012). Web Mining and Security in E-commerce. In Advances in Computing and Information Technology (pp. 477-487).Springer Berlin Heidelberg.Atkins, P. (2015). Chemistry - A Very Short Introduction. New York, NY: OxfordUniversity Press.Berland, M., Baker, R. S., & Blikstein, P. (2014). Educational data mining and learninganalytics: Applications to constructionist research
% 20% 10% 0% S T E M ET Overall Percentage 26% 10% 56% 2% 6% Figure 4. Engineering Technology Majors vs. STEM MajorsFigure 5 shows the ethnic diversity within STEM majors, noting overall percentages within eachSTEM category. Relative to one another, white students are most prevalent in STEM with aslightly higher percentage of black students in Technology as compared to the other STEMmajors. 80.00% 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 10.00
economic analysis after it has been implemented. As many of ourpartners implement and utilize the capstone projects, it is important for our students tounderstand how the projects are evaluated so that they can conduct a better analysis of theprojects in the beginning. As we continue to look at our courses and implement projects, we willcontinue to bring more examples into the course.References1. Anwar, S., & Ford, P. (2001). Use of a case study approach to teach engineering technology students. International journal of electrical engineering education, 38(1), 1-10.2. Dixon, G., & Wilck, J. (2014). Integrating Economic Analysis into Capstone Course. 121st ASEE Annual Conference and Exposition. Indianapolis: American Society
, repeatable learning activities, particularly in introductory courses. This might include wikis, discussion forums, task trackers, and source repositories that can be cloned to provide sandbox environments for students to practice and develop skills before work with actual HFOSS communities.AcknowledgementsThis material is based on work supported by US National Science Foundation grantsDUE-1225688, 1225708, and 1225738 (OpenFE), and DUE-1524877, 1524898, and 1525039(OpenPath).References 1. H.J.C. Ellis, G.W. Hislop, S. Jackson, and L. Postner. Team project experiences in Humanitarian Free and Open Source Software (HFOSS). ACM Trans. on Computing Education, 15, 4, Article 18 (December 2015), 23 pages. DOI=http
opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.Bibliography1. J. Popkin and K. Kobe (2010), Manufacturing Resurgence, A Must for US Prosperity, National Association ofManufacturers and NAM Council of Manufacturing Associates, January, 2010.2. National Association of Manufacturers. www.nam.org/Issues/Official-Policy-Positions/Human-Resources-Policy/HRP-01-Education-and-the-Workforce.aspx, accessed Sept 15, 2014.3. Freeman, A., Hrabowski, F. (2012) Broadening Participation in the American STEM Workforce, BioScience,62(4):325-326.4. Frantz, T., Siller, T., DeMiranda, M (2011), Pre-Collegiate Factors Influencing the