materials education and STEM outreach.Dr. Nicole Johnson-Glauch, California State Polytechnic University, San Luis Obispo Dr. Nicole Johnson-Glauch is a lecturer in the Materials Engineering Department at California Poly- technic State University in San Luis Obispo, California. Her current research interests are in how visual representations help or hinder student learning and how the structure of outreach activities impact under- represented students’ interest and belonging in engineering.Leon M. Dean, University of Illinois at Urbana-ChampaignProf. Jessica A. Krogstad, University of Illinois at Urbana-Champaign Jessica A. Krogstad is an assistant professor in the Department of Material Science and Engineering at the
Society for Engineering Education, 2019 T e c h n ic ia n -T e c h n o lo g y T e a m w o r k : M u ltifu n c tio n a l C o lla b o r a tio n o n I n d u s tr y P r o je c t sA b s tra c tT h e im p o r ta n c e o f m u ltif u n c tio n a l te a m w o r k h a s b e e n a d v o c a te d f o r s o m e tim e . T h is in c lu d e sh a v in g te c h n ic ia n s a n d e n g in e e r in g te c h n o lo g is ts le a rn to w o r k e ff e c tiv e ly to g e th e r . T h e g o a l o fth is p ilo t p r o je c t w a s to h a v e s tu d e n ts f r o m 2 -Y e a r a n d 4 - Y e a r p r o g r a m s le a r n to v a lu e th e irc o u n te r p a r ts b y w o rk in g to g e th e r o n a c o m b in e d
Paper ID #25970How We Teach: ThermodynamicsDr. Margot A Vigeant, Bucknell University Margot Vigeant is a professor of chemical engineering at Bucknell University. She earned her B.S. in chemical engineering from Cornell University, and her M.S. and Ph.D., also in chemical engineering, from the University of Virginia. Her primary research focus is on engineering pedagogy at the undergraduate level. She is particularly interested in the teaching and learning of concepts related to thermodynamics. She is also interested in active, collaborative, and problem-based learning, and in the ways hands-on activities such as making
Paper ID #25827Board 3: Engineering Technology Scholars-IMProving Retention and Stu-dent Success (ETS-IMPRESS): First Year Progress ReportDr. Nasser Alaraje, Michigan Technological University Dr. Alaraje is a Professor and Program Chair of Electrical Engineering Technology in the School of Technology at Michigan Tech. Prior to his faculty appointment, he was employed by Lucent Technolo- gies as a hardware design engineer, from 1997- 2002, and by vLogix as chief hardware design engineer, from 2002-2004. Dr. Alaraje’s research interests focus on processor architecture, System-on-Chip design methodology, Field-Programmable
discipline-focused scholarship in the area of teaching and learning, with an aim of creating pathways that lead to student success, professional development, and institutional transformation. Motschenbacher received a Ph.D. (2012) in Crop, Soil and Environmental Sciences, with a focus in Soil Physics, from the University of Arkansas. She also received an M.Ed. (2007) in the Administration of Higher Education and a B.S. (2006) in Agribusiness from Middle Tennessee State University. Prior to working at NDSU, Motschenbacher completed a research and extension education postdoc in the Depart- ment of Agricultural and Biosystems Engineering at Iowa State University and two USAID agricultural development projects in rice
. W1 C W2 A α β θ B System Space Digram Solution to Timoshnko Problem as in reference [2] with comments in square brackets bythis paper's author. Minor modifications are made due to changes in format. α Y θ β SAB θ SAB R1 X W1 W2
the Journal of Engineering Education in 2008 and 2011 and from the IEEE Transactions on Education in 2011 and 2015. Dr. Ohland is an ABET Program Evaluator for ASEE. He was the 2002–2006 President of Tau Beta Pi and is a Fellow of the ASEE, IEEE, and AAAS.Dr. Susan M Lord, University of San Diego Susan M. Lord received a B.S. from Cornell University and the M.S. and Ph.D. from Stanford Univer- sity. She is currently Professor and Chair of Integrated Engineering at the University of San Diego. Her teaching and research interests include inclusive pedagogies, electronics, optoelectronics, materials sci- ence, first year engineering courses, feminist and liberative pedagogies, engineering student persistence, and
institutions are also typically directed atthis particular group of students. This research used a survey, or a non-experimental research design to collect data foranalysis. Where this project diverges from prior research (e.g., Burger 2018; Pawley 2017; Robertson& Mason; 2008, Tomasko, Ridgway, Waller, & Olesik 2016) is in its consideration for thosevariables that might influence a students’ consideration for leaving, in conjunction with diversity andinclusion policies. As such, the Qualtrics survey that was developed for the pilot study leveragesquestions about student exposure to diversity and inclusion policies, as well as their perceptions andexperience with other influences to academic persistence. Appendix A and B is a
describes Coral's language constructs through examples, and explains the languagedesign decisions. Coral has a flowchart and textual representation, and supports coreprogramming concepts: Input/output, variables, branching, loops, arrays, and functions. Thetextual representation was specifically designed to look and read like pseudocode, so newprogrammers can quickly learn to read Coral.Figure 1 shows an example of putting quoted text (a string literal) to output. The syntax readslike a sentence and deliberately does not introduce a function call, in contrast to Python, Java,and C, nor an operator like in C++. Note that a flowchart always starts with a Start node and endswith an End node, as shown in Figure 1(b).A variable is a memory location that
material response under electric field and permeability is the material responseunder magnetic field. Under the influence of external electric field, there occurs a polarization ofelectric charges in atomic level which give rise to permittivity. Under the influence of externalmagnetic field, there occurs a polarization of magnetic dipoles moments (in magnetic material)in atomic level which give rise to permeability. When tiny particles of particular shape, made ofmetal or dielectric material, are arranged in a regular fashion, is called artificial material. Infigure 1, an artificial material, composed of metallic wires or circular metal patches or metalspheres, is shown.Figure 1. Artificial material composed of (a) 1-D metal wires, (b) 2-D
university grade pointaverage (GPA) and transfer credit as well. Their ACT scores and sectional scores were recorded alongwith the construction studios grades. A data model was created by compiling all data and grouping theminto two groups of students who 1) took or 2) did not take studios A and B in the summer. Studio A is atwelve hours laboratory which presents an introduction to construction materials and methods,construction drawing and modeling, building systems, project life cycles and management, andprofessional thinking and action. Studio B is also a twelve hours laboratory in which the development ofbuilding assemblies and construction sequencing, drawings and computer applications, projectmanagement skills, and professional thinking and
lead to teachers adopting morestudent-centered teaching strategies. This is under the assumption that professional developmentactivities and other aspects of the RET program are kept as uniform as possible for allparticipants.MethodsFor the purpose of this study, we look at the past 4 cohorts of teachers (2015-2018). We omit thetwo years prior to 2015, since the program was still under development leading to a lack ofuniformity in the program’s implementation, activities, and expectations. The four cohorts thatare part of this study include a total of 41 teachers: 16 in 2015, 16 in 2016, 5 in 2017, and 4 in2018. We separated the cohorts into 2 experimental groups. Group A includes the larger cohortsfrom 2015 and 2016 and Group B includes the
displays “Welcome to Java”p u b l i c c l a s s Welcome { p u b l i c s t a t i c v o i d main ( S t r i n g [ ] a r g s ) { System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) ; }}After applying the above transforms in program 5 and shuffling the valid and invalid line ofcodes, we get the following Parsons puzzle. System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) } }p u b l i c C l a s s Welcome { p u b l i c s t a t i c v o i d main ( S t r i n g [ ] a r g s ) {p u b l i c c l a s s Welcome { System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) ;p u b l i c s t a t i c c h a r main ( S t r i n g [ ] a r g s ) {Similarly, P P2 is mapped into a different Parsons puzzle, using the same mapping process
be happening through May 2019 andtraining and course materials will be made available to the teachers in July 2019. Figure 1. Subgoals piloted in Fall 2018. Subgoals for evaluating and writing expression (assignment) statements A. Evaluate expression statement B. Write expression statement 1. Determine whether data type of expression is 1. Determine expression that will yield variable compatible with data type of variable 2. Determine data type and name of variable and data 2. Update variable for pre based on side effect type of expression 3. Solve arithmetic equation 3. Determine arithmetic equation with operators 4
andcomputational) foundation,19 but it also involves teacher professional development (PD) to helpimplement it. The following sections describe our research design, along with findings on theeffectiveness of interleaving in learning as well as quantitative/qualitative feedback on the PDprogram that helped secondary-school teachers implement and research it in their classrooms.2. Research DesignIn the past two school years, during fall and spring, we offered: a) introductory training on basicretrieval practices2 and Google Forms (to prepare and conduct practice tests) to 180 teachers from29 local school districts (SDs) in our region, including 33% from urban, 19% from rural, and48% from suburban SDs, and b) additional training on interleaving retrieval
engineering project activities to engage the following STEMconstituents (a) students (b) educators (c) first-year engineering students in undergraduate degreeprograms. Laboratory and engineering project experiences can effectively introduce and reinforceSTEM-related concepts. The first two constituents form part of the K-12 STEM education process.The third constituent represents the graduates of the process. The constituents identified as studentsare introduced to aspects of engineering design, assembly, test, and validation through step-basedproject activities. The introduction takes place with the students either participating in projectactivities in the undergraduate engineering laboratory or with faculty from undergraduateengineering programs
contiguous; they require two big circlesthat overlap. As shown in Figure 1, the K-map challenge activity prompts the student to add thefewest and largest circles to cover all the 1s in the K-map. A student selects cells one-by-one,then clicks the "Add circle" button. If the selected cells are adjacent and the number of cells is apower of 2 (i.e., 1, 2, 4, or 8 cells), then a circle is added around the selected cells. Otherwise, thestudent is immediately given an error message stating: "Invalid circle. Valid circles can contain1, 2, 4, or 8 cells." When a student is ready to submit, as in Figure 1(a), the student clicks Check.If the student's submission is incorrect, as in Figure 1(b), then the student is given anexplanation, including which circles
). There were 767 male and 78 femalestudents in the study.Since some students take advanced placement (AP) exams in their pre-college academic careers,it was necessary to create a grade map so the model would function properly. Table 2 providesdetails on the grade map used in the model. The column, “Letter Grade Used in Model”provides the letter grade, input as ordinal data into the model. The column “Mapped Grades”provides how non-standard grades mapped to the ordinal data in the model.Table 2. Mapping of letter grades used in the ordinal model. TA = “Transfer A”, TB = “Transfer B”, AP4 = “ascore of 4 on the AP exam”, TC = “Transfer C”, “CE = C Equivalent”, “AP3 = “a score of 3 on the AP exam”, TD =“Transfer D”, TF = “Transfer F”, W = “Withdraw
Elliott, Sippola & Watkins,2018); and in biology, the core biological transition of ATP to ADP. A M B C D A M B C DFigure 1. A Gaussian gun of four ball bearings and a set of strong magnets. Top: before release, bottom: after.The class of eight students, working in three lab groups, developed a range of ideas to explainthe phenomenon. Through our conversations with as a whole class and in their groups, the ….Group A: The “physics” groupAs the students debated ideas regarding the origin of the energy in this phenomenon, one studentrolled a ball down a three-ring binder to represent the energy of
dynamic setting and should bediscouraged at the introductory level. Examples of this poor habit were found in each of theStatics books. One example is shown below (Sample Problem 3/2 from Meriam and Kraige[14]). Example: Calculate the tension T in the cable which supports the 1000-lb load with the pulley arrangement shown in Figure 1(a). Each pulley is free to rotate about its bearing, and the weights of all parts are small compared with the load. Figure 1. (a) Problem statement figure, (b) Meriam and Kraige’s FBDs, (c) Better FBDsMeriam and Kraige’s FBDs for this problem are shown in Figure 1(b). Note that the 1000-lbforce is the tension in the cable AD. In Figure 1(c), which includes a better FBD, the pulley A,the cable and the load
previous papers [1], [7], we assessed our students’ self-efficacy with engineeringdesign and their perceived influence of service experiences on engineering learning objectivesvia two validated surveys [4], [5]. Since the fall of 2012, we have annually asked all students inthe GFU engineering program to complete the surveys in the first month of the fall semester.Response data is shown in Tables 1 and 2. Student responses were grouped by their year in theprogram relative to SE: a. 2 yrs before SE (typically Freshmen) b. 1 yr before SE (typically Sophomores) c. Just before SE (Juniors) d. Just after SE (Seniors) e. Within one month of GraduationFor both surveys, a multivariate analysis of variance (MANOVA) was used to determine
Signed Rank Testing was applied to both data sets. To provide datavisualization, descriptive statistics were also evaluated by comparing pre/post averages ofstudents’ self-reported results.Indirect assessment showed that exposure to DEEP POOL moved students’ averaged self-reported Learning Outcome achievement up across all outcomes assessed. The largestimprovements (with averages increasing 1.71 points on a 4-point scale) were in skills related toABET (k) and ABET (h). The next largest gain (the average increased 1.29 points on a 4-pointscale) was in ABET (b). One-tailed Wilcoxon Signed Rank Test of indirect assessment datacorroborate these results. Questions related to ABET (k) (Z = −2.366, p < 0.05), (h) (Z = −2.023,p < 0.05), and (b) (Z
help students to opt for NI’s certificationprograms, i.e., Certified LabVIEW Associate Developer (CLAD) examination.In the first lab session, students are familiarizedwith the concept of virtual instrument (VI) anduse of front panel and block diagram structureof the LabVIEW graphical programming lan-guage. A review of the control and function pal-let with associated controls, indicators, nodesand functions is carried out. The main focus of Figure 2 (a): Front panel for running LED light.this session is to understand the data flow con-cept of LabVIEW and use numeric, Boolean, Figure 2 (b): LabVIEW block diagram for running LED lights.and comparison function pallets to write and execute mathematical expressions. Students
who earned letter grades of A, B, or C and proportion of students who earned gradesof A or B. It has been shown in the literature that students who earn grades of at least B inCalculus I tend to perform better in subsequent mathematics and physics courses3. In this paper,the results for Calculus I during the fall semesters of the five-year project are presented. Thepopulation of students who register for Calculus I during fall semesters differ significantly fromthe population of students who register during spring semesters. Spring semester Calculus Istudents are typically those who are repeating the course or those who are coming from Pre-Calculus. On average, 100 engineering students registered in ES sections of Calculus I in fallsemesters
image on the board(Appendix A). At the end of the session, each team had an image and associated citation to use intheir upcoming presentation. Three weeks after the session, the students delivered theirpresentation on the topic.Quantitative data was extracted from the students’ presentation slides through two differentmethods. The first method assessed the presentation overall for a given team. The presentationswere assessed with a rubric designed to measure the use of citations for images and the use ofimages not violating copyright law (Appendix B). Scores were assigned to each presentation. Inaddition, presentations were broken down to where the individual images were examined. Thesources of the images used for the theory portion of the
Criterion 3: a-k to Criterion 3: 1-7 is available at the ABET web site[13]. A quick look at the table shows that (a) and (b) are embodied in (1) while (f), (h), and (j)are embodied in (4). There are similarities between (b) and (6), (c) and (2), (d) and (5), (g) and(3), (i) and (7), while (k) is implied in (1), (2), and (6).This paper focuses on the new EAC general criteria by providing an overview of the changes andpresenting an assessment approach to ensure a successful implementation.Basics of ABET Accreditation with a Focus on Recent changesThis section summarizes the new EAC criteria and provides brief comments.Students (Criterion 1) – Students are the major focus of accreditation and everything revolvesaround them. This criterion involves a
-teachers who worked on planning and implementing lessonscollaboratively. Both co-teachers participated in the summer PD. This class met with the teachersevery school day of the week.Classroom B: 6th grade ProgrammingClassroom B with 21 students (12 male and 9 female) was an ICT class. It was allotted a doubleperiod (90 minutes) and was taught by a lead teacher who participated in the summer PD. He wasassisted by a co-teacher during the second half of the class. As the class was primarily roboticsbased, the lead teacher planed and implemented the lessons while the co-teacher assisted inmaintaining discipline and providing students with one-on-one support. This was also an Englishas Second Language (ESL) classroom, and all written instructions were
resistances are found: a. High-voltage winding to low-voltage winding and to ground b. High-voltage winding to ground c. Low-voltage winding to high-voltage winding and to ground d. Low-voltage winding to ground e. High-voltage winding to low-voltage windingThe test connections are shown in Figure 4. a. High-voltage winding to low-voltage b. High-voltage winding to ground c. Low-voltage winding to high-voltage winding and to ground winding and to ground d. Low-voltage winding to ground e. High-voltage winding to low-voltage
each day.Participants & the Class Portrait ProjectFifteen students, ages 14 to 16, at a public high school participated in the maker club – 7 boys, 7girls, and 1 gender non-binary. The club demographics reflected those of the school as a whole –5 African-American, 3 Latinx, 3 White, and 4 multiracial. Most students were from low tomiddle income families. In this paper, we focus on the work of one group, in which there werethree young women -- Casey, Deonne and B -- and one young man -- B’s brother Isaiah.Three members of the group – Casey, Deonne, and Bi – shared a homeroom, and decided tocreate a light-up Class Portrait. The portrait as initially envisioned would include a photo of allstudents in the class and use LEDs embedded in the
Laboratory (1 credit hour), is a requiredlaboratory design course for KSU Electrical Engineering (EE) seniors enrolled in theBioengineering Option. This course is a co-requisite to a lecture course, ECE 772 – Theory &Techniques of Bioinstrumentation (2 credit hours), and the 3-credit course pair is available toupper-level students in non-EE curricula. These courses address biomedical sensors,analog/digital instrumentation, signals, computer-based data acquisition, biosignal processing,medical imaging, medical image processing, and other related topics. ECE 773 has also been atarget course to demonstrate the utility of USB-based, portable data acquisition tools developedat KSU [12-16].B. Digilent Analog Discovery 2 (AD2) UnitThe Digilent Analog