based upon student work and is guided by thegrading of that work.In this paper, the implementation of our course-embeddedassessment method to a benchmark course is presented. EGR 360-Analysis of Engineering Data was selected as a benchmark coursefor the EAC Student Outcome b (an ability to design and conductexperiments, as well as to analyze and interpret data).A description of the process, data collection efforts, and analysis ofthe results in applying course-embedded assessment method to thebenchmark course are provided. We believe the process presentedin this paper can be beneficial to others in the engineeringcommunity as they address compliance of their programs with theAccreditation Criteria.IntroductionIn 1992, ABET invited academic
tool, seeFigure 2 (b). They will verify that their virtual arm resembles their actual arm in terms of theway it can move. If the virtual arm does not move the way their real one moves then they did notmeasure the D-H parameters correctly. In the camp the students were not able to grasp theprocess of measuring these parameters and relied on the student helpers. Software has since beenadded to the tool to support this actively. Once the parameters are measured correctly thestudents will enter them into the tool and verify their correctness. a b Figure 1: (a) the students build the arm, (b) the student measure the D-H parameter.Next the students will program their virtual
groups of classes that worked together to complete the projects:(a) School 1 (Anatomy & physiology; engineering and technology; geometry); (b) School 2(engineering and technology; geometry; general physics); (c) School 3 (biology; statistics;engineering and technology); and (d) School 4 (calculus; general and AP physics; engineeringand technology). The total number of participating students across the four schools was 373. Ofthe overall sample, 73 participants were missing data at either pretest or posttest and were thusexcluded from the analytic sample. The final analytic sample for this study consisted of highschool students in the 9th (20%), 10th (39%), 11th (19%), and 12th (22%) grades. The sample wasnearly evenly split by gender (54
calculus students whodownplay the importance of strengthening the precalculus background. Students also needto recognize that the probability of success in the calculus sequence is very low if they donot earn an A or B in Precalculus8. Another barrier to student success in college calculus istheir lack of experience with appropriate learning strategies. Student surveys from thesummer 2013 program showed that students overwhelmingly learned to solve mathematicsproblems in high school by imitating the teacher’s solutions to specific types of problems;however, they believed they needed a different approach for college calculus9. Recentbridge programs at Texas A&M University have one significant difference from mostonline programs. They require
’ finalpresentations in which students presented a comprehensive overview of the problems, thecommunity stakeholders they engaged, their process for addressing the problem, and their finalsolution. The two evaluators agreed on final scoring while applying the rubric and viewing thepresentation together.Table 1. Grand Challenge Scholars (GCS) Rubric for Evaluating Student WorkGCS Program Rubric Criteria RefCompetency a. Identify the problem1. Hands-on b. Collect data with supporting methodologyProject/ Research 16,17Experience c
tooth material, the dentist uses a ceramic paste to fill the area in which the toothmaterial was removed. The paste is cured and solidifies to complete the treatment process.3. LegoTM –based Desktop FactoryTo create the LegoTM-baseddesktop factory analog of thedental carie removal process, twoexisting LegoTM machinetools[10,11] were implemented sideby side (schematic shown in Fig.1 (b)) with the studentsperforming the operations on afloral foam workpiece.Additional modifications,including a custom builtgraphical user interface, andelectronic controls, were made toallow for remote operation of thedesktop factory. The detailsassociated with each of themachine tool components used inthe LegoTM desktop
Orientationown judgment in setting up and addressing theparticulars of a problem. Students learn how to address each module Startin Figure 1, each of which has specific outputsthat require the application of basic concepts Figure 1: Problem Solving Process.in kinematics and dynamics. They eventuallycombine these outputs to obtain the equations of motion. It is easier to illustrate thisstructure using the simple example in Figure 2 11 . The problem statement is: The double inclined plane supports two blocks A and B, each having a weight of 10lb. If the coefficient of kinetic friction between the blocks and the plane is µk = 0.1, determine the acceleration of each block. Assume the pulley is massless.The next sections
grade Participants in this study Spring 2015 dynamics Fall 2015 dynamics A 20.8% 18.6% 17.8% B 29.2% 42.7% 34.8% C 41.7% 28.1% 29.4% D 4.2% 7.5% 8.9% F 4.2% 3.0% 5.3%Note: Columns do not add up to 100% due to rounding.Laboratory experimentAfter due consideration of our RQ1, we concluded that the experiment design required studentsto solve an actual dynamics problem under realistic (i.e., time-constrained
1 Strongly Disagree 2 Disagree 3 Neutral 4 Agree 5 Strongly Agree Table 2. Survey Prompts Prompt Prompt Description A I enjoy the “Fluids Friday” sessions B I find the “Fluids Friday” sessions to be distracting to my learning C I would like the “Fluids Friday” sessions to continue D I wish more courses had things like “Fluids Friday” to help maintain my interest E I am more likely to attend a Friday
parts: arms, body, and legs; thenMeshMixer helped to fix the corner from the part using the tool, make it solid, that gave the finallook to the part. Figure 1 shows the CAD of the arm in the MeshMixer ready to print. Figure 1: CAD of the armThe four arms were printed in the MakerBot Replicator 2X11 3D printer using ABS material. TheABS has a good balance of strength and flexibility besides being very rigid and light, it was abetter choice for the arms than the PLA. The temperature used to print the arms was 230ºC; theplatform temperature was 110ºC; the layer height was 0.20mm; and the infill was 75%. Figures2(a) and 2(b) show details of dimensions and print setting respectively for the arm. (a) Dimensions
Electronic Communications courseThis paper discusses one of the projects in ElectronicCommunications II course which gives students the opportunity tothink and apply their knowledge in electronics, communicationsand mathematics to design, build and test frequency modulatedcommunication transmitter. The course is also designed to meetABET general criteria 3: Student Outcomes (b, d, e). Thetransmitter consists of four blocks. There is audio source blockwhich is a computer to provide the audio signal that needs to bemodulated, a frequency modulator circuit that is used to combineboth the audio and the high frequency carrier, a high frequencyoscillator circuit that generates above 88MHz and below 108MHzcarrier, a power amplifier to
responseswhen the EDM students answered either “strongly agree” or “agree” to the selected questions. Table 6 Knowledge retention from EDM to SDP, conducted in SDP class Survey type: Knowledge Retention (KR) Question Answer choices Answer weight Percentage % A FMEA Second best 41.111. When analyzing a product for potential B FTA risks due to faults and failures, I am C Both A & B Best 56.67 aware of the following fundamental D None of the above
position motors, occupant sensors, seat control switch Door: mirror switch, central ECU, power window lift, door lock Safety and investigation: automotive black box.FlexRay is a high speed communication protocol used to communicate among different devicesin an automobile system. It is a multi-master network and was created to increase reliability,quantity and speed of data being communicated among the vehicle’s ECU. FlexRay networkingstandards work on the principle of TDMA and have dual-channel architecture. It has a hostprocessor which controls the communication process via communication controller and busdriver. Each FlexRay node has two physical channels A and B facilitating data rate of up to10Mbps per channel. It can be employed as
aspectrophotometer (Figure 3b). As a take-home exercise, the students were also asked to estimatethe amount of gold they synthesized in their experiment. (a) (b) Figure 3. (a) Students working in the chemistry lab; (2) Absorbance reading of colloidal gold solution.Electrospun nanofibers were the second type of nanomaterials the students learned and practiced.After demonstration by the team leader, the students prepared their own biodegradable nanofibersamples collected on aluminum foils using different parameters. They could use these samplesfor electron
/. [Accessed: 31- Mar-2015].[4] H. P. Mandel, The Psychology Of Underachievement : Differential Diagnosis And Differential Treatment. New York: Wiley, c1988.[5] E. W. Gordon, Supplementary Education : The Hidden Curriculum Of High Academic Achievement. Lanham: Rowman & Littlefield Publishers, c2005.[6] C. M. Steele and J. Aronson, “Stereotype threat and the Intellectual Test Performance of African Americans.pdf,” J. Pers. Soc. Psychol., vol. 69, no. 5, pp. 797–811, 1995.[7] S. Hurtado, C. B. Newman, M. C. Tran, and M. J. Chang, “Improving The Rate Of Success For Underrepresented Racial Minorities In STEM Fields: Insights From A National Project,” New Dir. Institutional Res., vol. 2010, no. 148, pp. 5–15
) Administrator dashboard view: Those given an Admin role can view and edit flight plantemplates for any major and also have all the same functionality as Advisors.Fig. 3) Flight plan templates are created for each major degree program. Revisions can be madeat any time by a GEFP administrator. Department advisors must agree on an annual currenttemplate for each major.Fig. 4) Students mark off milestones as they are completed. They can also click on any of themany hypertext links and will be directed to a relevant page that might provide instructions onhow to carry out the milestone or event registration details. (a) (b)Fig. 5) (a) An advisor might provide a helpful comment on a
, testing, measurements & prototyping (c) Appropriate design assumptions, techniques & engineering analysis (b, d, f) Appropriate utilization of engineering tools (ie cad software, analysis software, etc.) (a, b ,c, d, f) Appropriate use of graphs, tables & figures (g) Appropriate format, technical writing technique & logical flow of information (g) Complete, accurate references & bibliography (g) Demonstrated application of engineering principles to formulate a solution to a technical problem (a) Totals Evaluation Scale 4.0 Excellent 3.0 Good 2.0 Average 1.0 Poor 0.0 UnacceptableTable 4. Assessment Rubric for Written Report. Capstone Design Project Presentation Assessment
sufficient understanding of the Body of Knowledge (Technical Materials Science Body content) in materials science necessary for practical application in the of Knowledge Mechanical Engineering profession. a. Basic classification, structure, properties, processing, and performance of engineering materials (metals, polymers, ceramics, composites) b. Periodic table of elements, atomic bonding, and crystalline structure. c. Grain structure, crystalline defects and strengthening mechanisms. d. Fundamental principles and mechanisms of diffusion in solids. e. Mechanical behavior of materials including stress-strain curves, elastic and
Engineering Research and Innovation. ISSN: 2152- 4165, Vol 7, 1, 43-47 Dakeev, U., Mazumder, Q., Yildiz, F., Baltaci, K., (2015). “Design and Development of a New Small-Scale Wind Turbine Blade”. ASEE Annual Conference, 2015, Seattle Hansen, M.O.L., Sorensen, N. N. & Flay, R. G. J., (2000). “Effect of Placing a Diffuser around a Wind Turbine.” Wind Energy, 3, pp.207-213, 2000 Kosasih, B. & Tondelli, A., (2012). Experimental study of shrouded micro-wind turbine. Evolving Energy-IEF International Energy Congress. [Electronic version]. Procedia Engineering 49 (2012) 92-98
bimolecularrecombination are incorporated into a drift-diffusion model and used to estimate the currentdensity and efficiency of organic solar cells.18 These processes are unique features and conceptsinherent in disordered organic materials which are solved numerically under illumination. Figure2 (b) shows examples of free carrier distributions inside organic layers simulated using electricalmodel.(a) (b)Figure 2. (a)Photoconversion process and (b) distribution of charge carriers inside an organicsolar cell.Organic solar cell simulation has many capabilities for optical and electrical models as follows: Capabilities of Optical Models Capabilities of Electrical Models TMM optical
determine the first natural frequency of the wing structure. By integrating researchresults into the classroom, many engineering mechanics and mechanical vibration concepts canbe reinforced by (a) analyzing a “real-world” problem through simple mechanical models tosimulate a complex structure and (b) by highlighting the relationships between physical andmathematical models of an actual aerospace structure.I. IntroductionSeveral papers have reported on the importance and benefit of including research into theundergraduate curriculum. Phillips and Schroeder 1 note that undergraduate research thatcomplements course topics is innately interactive and can enable student interest in engineering.Prince et al 2 highlighted the potential of research
a twenty-item engineering attitude sub-scale and a nine-item job-interest subscale with nine items along three interest dimensions: (a) Invent (jobs and activities that involve inventing and building/designing cars and buildings); (b) Help (jobs and activities that involve helping people and the environment; and (c) Figure Things Out (jobs and activities that involve figuring out how things work). Questions about engineering career attitudes included items such as, "I would enjoy being an engineer when I grow up" and "Engineers help make people's lives better".Modified Draw-a-Scientist Test (mDAST). While the DAST and DAET drew from relativelysimple “draw a scientist” or “draw an
. The control group had only traditionalinstruction (X1) and no prediction or reflection activities. A focus group of students wasassembled from those who participated in the prediction activities to further observe the impactof the activities on student learning.Table 1: Experimental Design. The same HECI test was administered pre- and post-instruction as a quantitativeform of observation (O1). In addition to traditional instruction (X1), the instruction received by Class B alsoincluded prediction activities (X2) and instruction in Class C also included reflection activities (X3). A voluntaryfocus group was assembled of students from Class B and Class C. HECI Traditional Prediction Reflection
failing. Totalexam points (Figure 2) were scaled accordingly: ─ 1.0: maximal points - 67.6; ─ 1.3 – 67.6 - 62.8 ─ 1.7 – 62.8 - 59.2; ─ 2.0 – 59.2 - 55.6; ─ 2.3 – 55.6 - 50.8; ─ 2.7 – 50.8 - 47.2; ─ 3.0 – 47.2 - 43.6; ─ 3.3 – 43.6 - 38.8; ─ 3.7 – 38.8 - 35.2; ─ 4.0 – 35.2 - 34.0; ─ 5.0 – < 34.0.Grades were grouped into three groups: 0.7-2.7, 3.0-4.0, and 5.0. This is approximately equivalentto A-B (0.7-2.7), C-D (3.0-4.0), and F (5.0) in the United States.The overall average of total exam points was 38.43 11.9 of 94 available with an average gradeof 3.7 (Figures 2 and 3). Students received the lowest number of available points on Task 1(properties and organic chemistry: 2.15
. Students will understand the definitions of stress and strain, and basic mechanical properties of materials such as a Knowledge elasticity, yielding stress, Young’s modulus and Poisson’s ratio 2. Students will apply concepts of strain and stress to the analysis of statically-determinate (a) and indeterminate (b) a, e Comprehension bars under axial loading 3. Students will apply concepts of strain and stress to the analysis of statically-determinate (a) and indeterminate (b) a, e Comprehension shafts in torsion 4. Students will analyze the shear, moment distribution
system model, given the system transfer function.Open-loop mass-spring-damper systemA mass-spring-damper mechanical system10 excited by an external force (f) is shown in Figure 1.This second-order system can be mathematically modeled as a position (x) control system withobject mass (m), viscous friction coefficient (b), and spring constant (k) as parameters. Based ona free-body diagram, the system differential equation is expressed in (1). Using LaplaceTransform, this time-domain equation leads to a position-to-external force transfer functiongiven by equation (2). Once the transfer function is derived, a set of parameter values (m = 0.1kg, b = 1 N*s/m and k = 2 N/m) is used to obtain the system transfer function shown in (3
Paper ID #16898Cranking Up Cornerstone: Lessons Learned from Implementing a Pilot withFirst-Year Engineering StudentsDr. Susan F. Freeman, Northeastern University Susan Freeman, is a member of Northeastern University’s Gateway Team, a group of teaching faculty expressly devoted to the first-year Engineering Program at Northeastern University. The focus of this team is on providing a consistent, comprehensive, and constructive educational experience that endorses the student-centered, professional and practice-oriented mission of Northeastern University.Dr. Courtney Pfluger, Northeastern University Dr. Courtney Pfluger
. 316, pp. 548-549.[2 Zydney, A. L., Bennett, J. S., Shahid, A., and Bauer, K. W. 2002, “Impact of Undergraduate Research Experience in Engineering,” Journal of Engineering Education, Vol. 91, pp.151–157.[3] Hathaway, R. S., Naqda, B. A., and Gregerman, S. R., 2002, “The Relationship of Undergraduate Research Participation to Graduate and Professional Education Pursuit: An Empirical Study,” Journal of College Student Development, Vol. 43(5), pp. 614-631.[4] Conrad, L. F., May, G. S., and Auerbach, J. L., 2013, “REU Site: Summer Undergraduate Research in Engineering/Science Program at the Georgia Institute of Technology,” Proceedings of the 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia.[5
should demonstrate the following learning outcomes out of the course outcomes: a. Provide an understanding of how a computer draws the fundamental graphics primitives - lines and filled polygons in both 2-D and 3-D. b. Use the facilities provided by a standard API to express basic transformations such as scaling, rotation, and translation. c. Implement simple procedures that perform transformation and clipping operations on a simple 2-dimensional image. d. Discuss the 3-dimensional coordinate system and the changes required to extend 2D transformation operations to handle transformations in 3D. e. Explain the concept and applications of each of these techniques
simulated a one-dimensionalrandom walk.Data Collection Two main sources of data collection are considered for this study. The first source is theset of in-code comments students wrote as self-explanation of the worked-example. Two samplecommented codes submitted by the students are depicted in Figure 1. Note that the differences inthese two students’ approach to self-explaining are not limited to the extension of the comments.While student A did not describe the purpose of the function and each of the parameters, studentB did. Also, student A described the code in terms of the data structures (e.g. matrix, vector) andoperations between them, while student B consistently used science concepts (e.g. “…the overallvelocity to decrease if the