- based Racecar for First-Year Engineering Technology Students", Averages (5,4); Standard deviations (0.81, 0.72) Proceedings of 2014 ASEE Annual Conference & Exposition, 2. The project assignments enhanced my Indianapolis, Indiana, June 2014. communication skills: Averages (4,4); Standard [8] Terranova, B., Khuon, L., and Fontecchio, A., "Makerspaces First: A deviations (0.99,0.62) First-Year Engineering Program in an Academic Makerspace", 3. Technology was used to enhance my learning: Proceedings of 2017 International Symposium on
understand engineering language, the first step in using engineering language in theclassroom is through teachers’ use of engineering terminology. Therefore, this study exploreshow a teacher used engineering language during the science- and mathematics-focused lessons ofan engineering design-based STEM integration curricular unit. Specifically, this purpose ofexploring how a teacher uses engineering language is represented two research questions: a)What engineering language does a teacher use during science- and mathematics-focusedlessons?, and b) When in each lesson and in what contexts is engineering language used?Theoretical frameworkIn Vygotsky’s sociocultural theory of learning, the principle belief is that one’s internalconsciousness is
and the first implementation is planned for later this year. Theproject aims to (A) evaluate whether students exhibit a positive change in systems thinking afterthe systems thinking intervention, (B) assess the validity of the ST instrument adapted to thisproject and (C) assess the validity and reliability of the grading rubric developed for thisintervention. Exploratory analysis will also occur via use of meta-data available in the coursemanagement system.Phase I: Design- The Conceptual ApproachSystems thinking is a concept that dates back as early as the 1920s and is grounded in theories ofholism (attributed by Aristole, coined by J C Smuts), general systems theory, relational thinking,and cybernetics. Many well-known approaches have
random intervals, and thermal stresses often resulted in frac- During Fall 2015 the specific method of activating the ture of the slides.DMPA catalyst was evaluated. In 2013 and 2014, a single In a continuing attempt to increase the availability ofcontinuous-wave, broad-spectrum UVA flood lamp (max flux cross-linking activation stations, a commercial UV systemat 365 nm) had been used to photo-activate the DMPA catalyst (USpicy 36W Nail Dryer/UV Lamp system, purchased from66 Chemical Engineering EducationAmazon, ~$40, bulbs included, bulbs indicate “365 nm” 9. Carlson, B., P. Schoch, M
design selection process came in the form of collaborationwith the university’s Office of Service-Learning (OSL), which helped the SEECS facultymembers to identify projects that (a) were of local interest, (b) served non-profit entities, (c)aligned well with the university mission, and (d) had university-identified stakeholders. The useof the OSL also helped expand the set of university resources available to SEECS students. Ourexperience has shown that working on a project identified first by the OSL opened up financialresources from the OSL for project completion. OSL also provided a handy liaison to otheruniversity departments and offices.The duration of the projects has informally evolved from 2-years to 3-years. (Per wording of theSEECS 3
System (LMS) such as Canvas. In step b), the utilization of open resourcesis encouraged including Solutions Manual, Internet search engines, and group problem solvingsessions, along with the availability in step c) of content tutoring within the EPC. Regardless ofonline or flipped delivery, the formative and summative assessment are conducted in-person asoverseen, in step d), supervised by test proctors in a secure computer-based testing facility. Instep e), referred to as score clarification, students are afforded a two-week interval to clarifytheir scores based on handwritten work via scanned-in scratch sheets, either with the contenttutors or faculty who may, in step f), refine assessment scores or adjust assessment results viadiscrimination
outcomes were assessed for the actual course (F and J),but all could be considered. These assessment tools are representative examples, and moreexamples could be created. The new ABET outcomes would also be able to map similarly to thecourse activities. Student Outcome Potential Assessment Tool(s) Mathematics: cryptology proof; science: electromagnetic (A) An ability to apply knowledge of mathemat- side-channel attack recreation or simulation; engineering: ics, science, and engineering any of the laboratory assignments listed in Table 1 (B
AiChE Concept Warehouse: A web-based tool to promote concept-based instruction," Advances in Engineering Education, vol. 4, no. 1, pp. n1, 2014.[9] J. Trevelyan, The making of an expert engineer, CRC Press, 2014.[10] E. Wenger-Trayner, M. Fenton-O'Creevy, S. Hutchinson, C. Kubiak and B. Wenger-Trayner eds, Learning in landscapes of practice: Boundaries, identity, and knowledgeability in practice-based learning, Routledge, 2014.[11] D. M. Gilbuena, B. U. Sherrett, E. S. Gummer, A. B. Champagne, and M. D. Koretsky, "Feedback on professional skills as enculturation into communities of practice," Journal of Engineering Education, vol. 104, no. 1, pp. 7-34, 2015.[12] J. Trevelyan, "Technical coordination in engineering practice," Journal
and implementation of many engineering practices or measures. In the followingsections, we use a highway embankment geotechnical engineering as an illustration example toemphasize the importance of geotechnics and Google Earth in the mankind’s engineering workand planning efforts.The following 1994 Fig 3.a shows the kettle lake/pond size and conditions near a highwayembankment in northeast Ohio. Seven (7) years later, 2001 Figure 3.b, shows the kettlelake/pond size and conditions remains almost the same with no immediate construction activitiesin its vicinity. By December 31, 2002, Google Earth shows some kettle lake/pond size conditionschange, and the addition of a new building built across the E Steel Corners road is seen in thepicture. Six
, "Extreme Programming for Software Engineering Education?," Education, pp. 12-17, 2001.[2] J. T. Nosek, "The case for collaborative programming," Communications of the ACM, vol. 41, no. 3, pp. 105-108, 1998.[3] C. Mcdowell, L. Werner, E. Bullock, Heather and J. Fernald, "The impact of pair programming on student performance, perception and persistence," Proceedings of the 25th International Conference on Software Engineering, pp. 602-607, 2003.[4] J. Nawrocki and A. Wojciechowski, "Experimental evaluation of pair programming," European Software Control and Metrics Escom, p. 99–101, 2001.[5] B. Isong, T. Moemi, N. Dladlu, N. Motlhabane, O. Ifeoma and N. Gasela, "Empirical confirmation of pair programming effectiveness in the
. Elby, R. E. Scherr, and E. F. Redish, “Resources, framing, and transfer,” in Transfer of Learning from a Modern Multidisciplinary Perspective, J. P. Mestre, Ed. Greenwich, CT: Information Age Publishing, 2005, pp. 89–120.[19] A. A. DiSessa, “Knowledge in Pieces,” in Constructivism in the Computer Age, G. Forman and P. B. Pufall, Eds. New Jersey: Lawrence Erlbaum Publishers, 1988, pp. 49–70.[20] S. A. Ambrose, M. W. Bridges, M. DiPietro, M. C. Lovett, and M. K. Norman, How learning works: Seven research-based principles for smart teaching, 1st ed. John Wiley & Sons, 2010.[21] E. J. Hansen, Idea-based learning: A course design process to promote conceptual understanding. Stylus Publishing, LLC., 2012.[22] B. Rogoff, J
. 4. Study is empirical (qualitative, quantitative, or mixed methods). Empirical studies need to meet the following criteria: (a) state a research question, purpose, or hypothesis; (b) include a methods section with explicit mention of methods of data sources and data analysis; and (c) include results or findings that stem from the analysis. With this criterion in mind, theoretical papers and thought pieces are excluded from this study. 5. Participants in the study must develop or use evidence-based claims. 6. The evidence-based claims must relate to the designed world (e.g. devices or processes created by humans). 7. Meta-analyses or literature reviews should be excluded.Based
section, the selection of peer mentors including the criteria, organization of sessions andcommunication methods are discussed. This paper explores a unique approach of utilizing peermentors who have successfully completed the coursework through an evaluation process. Theinstructors of the course are capable of assessing the overall performance of the students andprovides a suggestion to invite selected candidates for the possible mentor role. The pedagogicalapproach, expectations, intended outcomes, and other details has been described in some detail.Students who successfully completed the course and earned a grade of B or better are recruited toserve as peer mentors. Student who have outperformed on the software design project are thepossible
in the data, x – a vector of inputs {x1, x2,x3, …, xn} and multiplies each input by a weight {w1, w2, w3, … wn}. The general body of theneuron then adds the weighted inputs and a bias. The scaler result is passed through an outputfunction called the “activation function”. The scaler output of a trained network can be used fordata classification or for propagation to an input of a larger network in a method called pooling[10]. A mathematical model of the perceptron is shown in Equation 1 [7]. 𝑎 = 𝑓(∑'()* 𝑥i∙ 𝑤 i + b) (1)The value of the synaptic weights prior to training is normally randomized and is unimportant asthe value of the weights and bias are gradually
onAlternatives to Lecture in the Computer Science Classroom, Vol. 13 Issue 3, Art. No. 12, 2013.[20] S. Leutenegger and J. Edgington, "A Games First Approach to Teaching IntroductoryProgramming," SIGCSE technical symposium on Computer science education, 2007.[21] H.N. Mok, "Teaching Tip: The Flipped Classroom," Journal of Information SystemsEducation, 25(1), 7-11, 2014.[22] V. Norman and J. Adams, "Improving Non-CS Major Performance in CS1," SIGCSETechnical Symposium on Computer Science Education, pp. 558-562, 2015.[23] Pearson: MyProgrammingLab.https://www.pearsonmylabandmastering.com/myprogramminglab/. August 2017.[24] L. Porter, D. Bouvier, Q. Cutts, S. Grissom, C. Lee, R. McCartney, D. Zingaro, B. Simon,"A Multi-institutional Study of Peer
, we have provided a framework to develop engineering problems with globalcontext through a unique collaboration between biomedical engineering faculty and students anda campus-based global service-learning organization. Considering not all students have theopportunity to engage in experiential learning abroad, these problems allow instructors to exposemore students to global applications of engineering design directly in the classroom.AcknowledgementsWe thank Christopher Kitson, Natalie Muneses, and Tiange Zhang for their assistance indeveloping the problems.References[1] ABET, “Criteria for accrediting engineering programs, 2018-2019” [Online]. Available: www.abet.org [Accessed Jan. 26, 2018][2] B. K. Jesiek and K. Beddoes, “From
Paper ID #24439Workshop: Problem Definition and Concept Ideation, An active-learning ap-proach in a multi-disciplinary settingProf. Robert Gettens, Western New England University Rob Gettens is an Associate Professor of Biomedical Engineering and the Director of the First Year Engineering Program at Western New England University.Harlan E Spotts Jr., Western New England University Professor of Marketing in the College of Business 2018 FYEE Conference: Glassboro, New Jersey Jul 25 Workshop: Problem Definition and Concept Ideation, an active-learning
received on aregular basis.Topics that participants most repeatedly suggested they would like to see offered, either again oras new information, focused on(a) funding, including proposal writing workshops, roundtable discussions with other faculty aswell as external researchers, continued access to funding agencies;(b) research development, including building a sustainable research program, training inmultidisciplinary research; developing a large scale research center; collaborative activities;(c) promotion and tenure/progression advancement, including guidance in navigating the processfrom current and past reappointment, promotion and tenure committee members and otherexperienced faculty; career development after tenure; mid-career specific
PlanThe activities of the ASEE Diveristy Committee have been guided by a communal vision andhave informed and been informed by (a) the task force charge in 2009, (b) initial plans developedby the committee in 2011-12, (c) and a formal strategic action plan developed in 2015-16. TheASEE statement on diversity and inclusion describes the Society’s vision as to create and foster environments where every individual is respected and no one feels marginalized. ASEE believes that this can be achieved by supporting the education, recruitment, retention, and advancement of these groups in engineering education, engineering technology education, and the engineering profession. While ASEE recognizes that steady gains have been
students to the higher order thinking skills such as analysis, synthesis, and creative problem solving. Simple questions asking students to list facts or identify among given choices will not be very valuable to achieving the goal.4. We recommend review videos to include the must-have features as students elected. In addition to giving control of how they want the video to be played, students should have access to the handouts used by the review video so that they can take their own notes. An example problem should be included at the end of the video to explain to students what they are expected to understand upon a successful review.References[1] B. Honeycutt, “Ready to flip: three ways to hold students accountable for pre-class work
. Lent (Eds.), Handbook of counseling psychology (4th ed., pp. 357-374). Hoboken, NJ: Wiley.[5] Carnevale, A. P., Smith, N., & Strohl, J. (2010). Help wanted: Projections of jobs and education requirements through 2018. Georgetown University Center on Education and the Workforce. Retrieved from http://georgetown.app.box.com/s/ursjbxaym2np1v8mgrv7.[6] Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1, 245-276.[7] Chen, X. (2009). Students who study science, technology, Engineering, and mathematics (STEM) in postsecondary education (NCES 2009-161). Washington, D.C.: National Center for Education Statistics, Institute of Education Sciences, U.S. Department of
specializing in Urban Land Redevelopment and Municipal Engineering. Sandra holds a B.S. Degree in Civil & Environmental Engineering, an A. B. degree in Art History, and a Master of Engineering degree in Engineering Management from Stevens Institute of Technology. She also holds a Professional Engineering license in NJ.Dr. Leslie R. Brunell, Stevens Institute of Technology Leslie Brunell, PhD, PE is a Teaching Professor at Stevens Institute of Technology. She coordinates both the civil and multidisciplinary engineering senior design projects. These projects are the culmination of the undergraduate engineering experience. Students design an innovative solution to a complex problem. She has recruited professional sponsors
users at particular points along the phases of a design class. 1(b). The users and types of DEFT data output that they can engage with.compare responses between the start and end of the class, and thereby evaluate the impact ofthe class on student knowledge, attitudes, and confidence. Instructors also complete an exitquestionnaire, which asks them to evaluate the overall quality of the student design projects.4. Evaluation and Usefulness of DEFTThe evaluation of DEFT was integral to the iterative design process. The feedback from thestudents and instructors was positive with the majority of users indicating their satisfactionwith each iteration of the system. The major changes to DEFT through the
0.026 Q5 1.90/1.64 2.127 0.040 Q6 3.74/3.67 0.464 0.645 Q7 3.93/3.86 0.518 0.607 Table 1: Results from Self-efficacy Questions Due to the nature of the questions (Appendix 6.a-6.b), for each of the charts in Table 1, itis desired to see a decrease in the mean value (2nd column) from pre- to post-survey on questionsQ1-Q5, and an increase on questions Q6-Q7. All of the bold rows show instances where astatistically significant outcome was observed, indicating that for many of the questions theirlevel of confidence was greater
diameter can be relatively small compared to the current apparatus.III. ASTM Standards: American Standard Test Method (ASTM) guidelines provided the baseline requirement to ensure the newly designed apparatus meets industry standards. These standards ensure the accuracy and the validity of the design. Engineer requirements for the sensor, electronics and material were based on ASTM standardsDesign GenerationA major part of the design generation was sensor selection. It was narrowed down to two sensortypes: (a) Hall Effect and (b) Infrared. The Hall Effect sensor involved a magnetic sphere as thedetector. An experimental test proved the design to be problematic. The magnetic field orientationof the north and south poles (of the
andmotivated to attempt answering the quiz questions. The average score in all the onlinequizzes was 54% and varied without trend during the semester (Fig. 1B), suggesting that thequizzes were sufficiently challenging and that watching the online lessons alone was notsufficient for the students to answer all the quiz questions satisfactorily. Figure 1: average participation (left, A) and average score (right, B) for the 14 online quizzesThe rate of participation in the online quizzes for each student was significantly andpositively correlated with the student score in the in-class quizzes, the midterm exam score,and the overall course score (Table 1). Likewise, the students’ score in the online quizzes wasstrongly correlated with their
Instruction, vol. 9, no. 2, pp. 137-175, 2001.[8] C. Chin and D. E. Brown, “Learning in Science: A Comparison of Deep and SurfaceApproaches,” Journal of Research in Science Teaching, vol. 37, no. 2, pp. 109, 2000.[9] J. L. Cowan, On becoming an innovative university teacher: reflection in action.Maidenhead: Society for research into higher education & Open University press, 2006.[10] T. A. Feldhausen, B. R. Babin, and E. Dringenberg, “Connected Mechanical EngineeringCurriculum through a Fundamental Learning Integration Platform,” 2017 Annual Conference &Exposition, Columbus, Ohio, 2017, June. ASEE Conferences, 2017.[11] H. Alnajjar, “Getting Freshmen To Make The Connection Between Courses ThroughIntegrative Learning Blocks (ILBs),” 2000
maximizing theinteractions’ spaces between professors, students and communities to generate transversalknowledge between different disciplines and to co-create solutions in a participatory way. It isexpected that initiatives like this will be replicated in order to generate a change in engineeringeducation around the world.6. References[1] Amadei B & Sandekian (2010) R Model of integrating Humanitarian development into Engineering Education[2] Amadei B, Sandekian & Thomas E (2009) A Model for Sustainabe Humanitarian Engineering Projects.[3] Colorado School of Mines. (2018). Humanitarian Engineering. [Online]. Available:https://catalog.mines.edu/undergraduate/interdisciplinaryminors/humanitarianengineering/humani tarianengineering.pdf[4
, July 20016. [Online]. Available: http://onlinelibrary.wiley.com/doi/10.1111/j.1540- 4609.2006.00114.x/full [Accessed January 27, 2018] [7.] M. Puzziferro & K. Shelton, “A Model for Developing High-Quality Online Courses: Integrating A Systems Approach with Learning Theory.” Journal of Asynchronous Learning Networks, vol 12: no. 3-4, December 2008. [Online]. Available: https://eric.ed.gov/?id=EJ837519 [Accessed January 27,2018] [8.] K. Shattuck, Assuring Quality In Online Education: Practices and Processes at the Teaching, Resource, and Program Level. Sterling, VA: Stylus Publishers LLC, 2014. [9.] B. Simunich, D. B. Robins, & V. Kelly (2015) “The Impact of Findability on Student
. His main research areas are a) models and modeling, b) learning environments and c) problem solving. c American Society for Engineering Education, 2018 Towards a full integration of physics and math concepts: A path full of trapsAbstractBoth mathematics and physics concepts have been closely interrelated since their formalbeginnings in ancient times. Moreover, from a historical perspective, it is possible to identifyhow physics advanced as more complex mathematical ideas were available. In fact, it is hard toseparate them either in or outside a classroom. However, in the classroom there are manyinstances that the teaching of one subject obstructs or creates barriers for the other. After fiveyears of teaching