mechatronic system with microcontroller integrationConclusion and future planInspite of the changes made to both the curriculums, we still feel there is room to incorporatemore changes. Using rubrics for the project assessment helps the students and the instructor tofollow the same expectations for both laboratory portions of the courses. Implementing the samerubrics in two semesters gives students training in problem solving while working in teamenvironment. Goal of creating a common set of rubrics not only helps with outcome assessmentbut also encourages reflection in the curriculum to make positive enhancements. Inclusion ofethics discussion is important as students manipulate data and understanding the representation iscritical. As we continue
that we can measure the learningexperiences and outcomes in these 4 courses. Below are the evaluation results.Pre-EvaluationAll the participants are students from the computer science department at Georgia State University. Theassessment is divided into three parts: Work experience with computer and programming language used (written response) Knowledge of operating system (choice question) Study experience of PC and different ways to learn (choice question)The diversity in the nature of question reflects both the understanding of students about the operating system andthe best way for the students to learn it effectively.Written response – Operating System:Work Experience YES (%) NO (%)Have
seemsbright; yet the rapid emergence of these offerings (and the position of many outside the requiredcurriculum) has outpaced our ability to assess potential learning outcomes for participatingstudents. This paper aims to contribute evidence regarding the engagement and cultural agility ofengineering students, providing data-driven insight and reflection in the process.Our research effort focuses on two specific working hypotheses: H1: Service-oriented international experiences attract engineering students with an intercultural mindset H2: Participation in service-oriented experiences will lead to elevated intercultural proficiency for engineering studentsThese research hypotheses will be tested in the following ways
-level skills that are fostered in test-driven curricula and expand to multi-leveled solutions and organized collections of facts andrelations among concepts 7, 13.Our engineering design based approach to teaching content and developing problem solving skilldictates a new role for the teacher as well. Teachers must shift from an evaluative perspective toan interpretive one as they move away from guiding students to correct answers and towardemphasizing student exploration and engagement 15. The teachers’ focus should targetencouragement of students’ own reflections on their reasoning and interpretations of problemsituations 7. Contrary to current practices of warning students when they take a wrong step intheir solution efforts, teachers need to
offering due to time/hardware limitations. On the otherhand, OFDM modulation is still studied extensively during the lectures. Results in Table 2 showthat gain in OFDM modulation is only 28.5%, which is considerably lower than other technicalconcepts such as synchronization and channel estimation, and may have been improved via ahands-on lab experiments. The concept of MIMO is covered only briefly in the lectures, andthere is no lab experiment associated with this concept. This is also reflected in the lowimprovement (17%) in students’ learning perceptions on the topic of MIMO systems. As a last remark, we would like to comment on the 39.3% gain observed in least squareparameter estimation. Normally, least square estimation is a
Tutor showed a statistically significantadvantage for the post-test scores on node analysis [t(64) = 3.09, p < 0.05] with an effect size(Cohen d-value) of 0.72σ. For mesh analysis, the difference was not statistically significant [t(64)= 0.88, p = 0.38], which may reflect the fundamentally easier nature of that topic (both groupshad relatively high averages). The survey results showed a very strong preference for CircuitTutor and a strong belief that it taught them more effectively than System X. A typical studentcomment was “I liked Circuit Tutor more because I could do a ton of problems. I liked that evenif I couldn't figure it out, I could ‘give up’; and it would thoroughly explain how to do everythingso I could understand what I did
physical reasoning and engineering principles would reflect theirunderstanding of real system performance as opposed to an ideal system taught in class. If P0 isthe initial pressure of the reservoir, Patm is the atmospheric pressure, V0 is the volume of thereservoir, L is the length of the barrel, A is the cross-sectional area of the barrel, f is the frictionforce inside the barrel and m is the mass of the ball, then the exit velocity of the ball (vexit) isgiven by Rohrbach11 (1)Friction force (f) between the ball and the cannon barrel is to be modeled by the students. Thefriction coefficient for rubber, PVC interface is given to be 0.5. During flight the ball
project is supported in part by National Science Foundation award # 1229744. The HPCcluster is funded by NSF MRI project with award # 1332566. The evidence based teachingmethod is supported by Department of Education award # P120A140064. Opinions, findings,and conclusions or recommendations expressed in this material are those of the authors and donot necessarily reflect the views of the National Science Foundation and Department ofEducation.Bibliography[1] P. S. Pacheco, "An Introduction to Parallel Programming," Morgan Kaufman, ISBN: 978-0-12-374260-5.[2] D.A. Bader and R. Pennington, ``Cluster Computing: Applications,'' The International Journal of High Performance Computing, 15(2):181-185, May 2001.[3] Retrieved from http://www.top500.org
. Diffusion of research-based instructional strategies: the case of SCALE-UP. Int. J. STEM Educ. 1, (2014).11. Daly, S. R., Mosyjowski, E. a. & Seifert, C. M. Teaching creativity in engineering courses. J. Eng. Educ. 103, 417–449 (2014).12. Zappe, S., Mena, I. & Litzinger, T. Creativity is Not a Purple Dragon. Natl. Coll. Invent. Innov. Alliance (2013). at 13. Schön, D. A. The Reflective Practitioner: How Professionals Think in Action. (Basic Books, 1983). at 14. Dym, C. L., Agogino, A. M., Eris, O., Frey, D. D. & Leifer, L. J. Engineering Design Thinking, Teaching, and Learning. J. Eng. Educ. 94, 103–120 (2005).15. Wing, J. M. Viewpoint: Computational Thinking. Commun. ACM 49, 33–35 (2006).16. Rosen
author took several lab courses, followed theinstructions and was assigned good grades. He spent little to no time reflecting on each labafterwards, instead going on to focus on the next problem set, paper or upcoming exam. Whilethe labs were often designed to demonstrate theory that was introduced in lecture, there weremany situations in which important underlying assumptions were not mentioned. Now, as amathematics professor teaching courses with applications, such as differential equations, discretemathematics, and linear optimization, the author’s interest in applied topics has been rekindled.It is apparent that his learning in undergraduate lab courses and the supporting lecture courseswas not sufficiently deep and did not include the
thepotential for engineering leadership behavior. A student who demonstrates engineeringleadership behaviors during the career fair will communicate in ways that show a reflection andunderstanding of their personal leadership development. Experiences are important to have, butan ability to translate those experiences from merely an action to a learning experiencedemonstrates potential for engineering leadership during a career fair.“Engineering students that are able to articulate these experiences as positive and beneficial intheir development and how or why is a plus.”“Potential engineering leaders often present those experiences in a way that often times reflectstheir thirst for more.”“Hands-on senior design projects are important. My industry is
their efforts, which can be difficult both for tenure-track faculty who are evaluated based onresearch publications as well as non-tenure-track faculty with high teaching loads.In reflection of these lessons learned, we plan to continue to implement these projects in classeswherever relevant, including both design- and energy-focused courses, in addition toindependent study and research projects. Continuous project refinement is needed to ensure thatprojects are well-defined and tractable for students. All projects will require regular feedback andinteraction with facilities staff to ensure both project relevance and implementation of projectresults. Finally, the continued pursuit of institutional-level resources will be needed to providethe
provides the essential immersive experiencehas become more affordable [11]. Nevertheless, a review of literature revealed only a few casesof VR-based STEM learning being reported [12]. Different from the game-based learningstrategy [13], [14], learning in immersive VR environments must properly reflect the physicallaws or spatial constraints governing our surrounding in order to imitate the real worldexperience. A typical example is the building activity in the video game Fortnite [15]. While theplayer has to collect material before actual construction can happen, the structures created wereso simplified that they could not exist in the physical world. Video games such as Fortnite do notrequire an immersive environment, as the focus of the games
learner was greatlyincreased while also increasing the amount of time for in-class problem solving. However in thisstudy it is difficult to isolate the effect of the daily quizzes from the change in number of weeklymeetings or increase of time for in-class problem solving. Further the course evaluation dataremains difficult to interpret. In the 2016, only 51% of students enrolled in the course participatedin the final course evaluations and in 2017, only 35% of students completed the evaluations.Because of these low response rates, it is possible that the reported data in this study does notaccurately reflect general student perceptions of the course. More work is need to isolate theeffects of the daily quiz and to study the effect of the various
Dyrenfurth [3]provide a very good review of the terms that are used in scientific literature, which include,among others, nonscientific beliefs, alternative frameworks, p-prims. Though vocabulary maychange, misconceptions (term chosen for this paper) are how people make sense of the worldeven though it does not reflect established scientific knowledge held by experts. Misconceptionsmay also be incorrect categorizations, particularly if one understands concepts as organizingknowledge in categories [7]. In general, misconceptions may arise due to incorrect instruction,but they may also be constructed by everyday interactions and language barriers. It is importantto note here that there is a line of research that understands misconceptions as novice
rationale for each form. At the end of the semester, students wereasked to reflect on the strengths and weaknesses of whatever grouping technique was used intheir section. A qualitative analysis of all of these data has led to a description of the experiencefrom the perspective of the students. Further, the trends that emerged from these engineeringstudent descriptions were compared to and contrasted with the benefits described (largely byinstructors) in implementations in mathematics courses elsewhere.Course Background, Description, and SettingThe work described was situated in the first-year engineering honors program [17]. Thisprogram, which has enjoyed a rich history, typically serves between 350 and 450 students peracademic year. Almost all of
GeneralizedObservation and Reflection Platform (GORP), hosted by UC Davis(https://cee.ucdavis.edu/GORP). While there are limitations to the GORP tool, the advantage ofbeing free, intuitive, and able to be run on a touch screen laptop far outweigh limitations. The dataare captured in real time and outputs as a spreadsheet file, which reads the categories as a functionof time points. The resulting data file can be manipulated in MATLAB or other programs. Table 2: Codebook and Numerical Values Assigned for Data Processing Numerical Level Definition of Level
sheltered by the island.NUMERICAL MODELS The USACE Coastal Modeling System (CMS) numerical models (Demirbilek andRosati, 2011) were implemented in the present modeling study. The CMS is a suite ofnumerical wave, current, salinity, and sediment transport models consisting of CMS-Wave and CMS-Flow. CMS-Wave is a finite-difference, two-dimensional steady-statewave spectral transformation model that calculates wave propagation, generation,refraction, diffraction, reflection, transmission, run-up, and wave-current interaction (Linet al. 2008, 2011). CMS-Flow is a finite-difference, time-dependent three-dimensionalcirculation model which also calculates sediment transport, morphology change, salinity,and temperature fields (Buttolph et al. 2006
– Proposed New Courses/Modules for Certificates/AS DegreeIs This Approach a Possible Solution?Shown below in Figure 4. are the basic enabling technologies of IoT applications that exist acrossvarious fields of technology including non-electronics based fields (e.g. smart agriculture, civilengineering, etc.). This figure shows that at the very center of these technologies is a complex,networked, electronic systems. The application itself is reflective of the specific discipline that theIoT application is designed for. An e-healthcare application might be to gather an individual’s vitalsigns in their place of residence and wirelessly transmit them to a central location where they canbe monitored. A smart home might be gathering data about solar panel
moraldevelopment that privileges reason (see discussions in Davis and Feinerman [2]; Holsapple et al.[3]; Clarkeburn [4]; Bebeau and Thoma [5]). Moral foundations are described as value-drivenaffects that influence our decisions even before conscious reflection and reasoned decision-making enters the stage. Identifying the roles that such pre-rational individual values play withindisciplinary enculturation is especially crucial to increasing and retaining diverse perspectiveswithin STEM fields, contributing specific insight into why some individuals may not “seethemselves” in the values of their selected disciplines [6], [7]. This institution-specific analysisprovides proof of concept through preliminary data in support of a larger multi
works? The hope wasto nudge students towards an understanding of math that is not based on rules and rotememorization but instead is based on understanding the big concepts and knowing how thoseconcepts contribute to the myriad of tools used as part of the mathematician’s toolbox to solveapplication problems.To help along this journey, the instructors designed a few specific activities designed to generatediscussions about math, what it means to understand math, and even what it means to be good atmath. To start the course, students were asked to read, reflect on, and write a response to thewell-known essay, The Mathematicians Lament, by Paul Lockhart. This was followed up withan in-class discussion in which students were asked which part of
-1711533. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] Paulson, D. R., & Faust, J. L. (1988). Active and Cooperative Learning. Los Angeles: California State University, Los Angeles. Retrieved from http://www.calstatela.edu/dept/chem/chem2/Active/index.htm[2] Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-231.[3] Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics
engineering, theimportance of feedback and the importance of multiple perspectives than males. This puzzlingfinding is a result of small differences between males and females at both baseline and post.Females had slightly lower scores at baseline and slightly higher scores at post than males (SeeTable 1). While neither of these were statistically significant, they reflect that females hadgreater overall gains in scores than males. Assessing the change in scores within gender showedthat, at post, females saw significant improvements in attitudes towards engineering, importanceof feedback, growth mindset, and the importance of multiple perspectives when compared totheir pretest scores. At baseline, we observed no significant differences by
conclusions or recommendationsexpressed in this paper are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] Geometric Optics, PhET, Available at: https://phet.colorado.edu/en/simulation/geometric-optics [Accessed 5 Aug. 2017].[2] B. Alberts, “Prioritizing science education,” Science, vol. 328, pp.249-249, Apr. 2010.[3] I. E. Allen and J. Seaman, Class Difference$: Online Education in the United States. Babson Survey Research Group, 2010. Available: https://files.eric.ed.gov/fulltext/ED529952.pdf. [Accessed December 29, 2017][4] T. de Jong, M. Linn, and Z. Zachariam “Physical and virtual laboratories in science and engineering Education,” Science, vol. 340
, Oxnard College, Santa Barbara City College, and both the ComputerScience and Information Technology departments of CSUCI. One of the first areasdiscussed was that the curricula at the community colleges and the BSIT program havediverged. Reflective of this is the incoming students surprise at how few of theircommunity college courses are transferring as disciplinary credit. The primaryrecommendation from this review of the data is the recommendation that the feedercommunity colleges and CSUCI faculty assess curriculum realignment.All parties are enthusiastic and future meetings are planned to reassess the curriculaalignment in order to assist student progress in transfer and completion. It is noteworthyto look at why this is important and what
renewable resources, theprimary topic area of the REU. Data for the first two years of the program (10 students in 2016 and 9 in2017) are included in the analysis. In addition to the quantitative results from close-ended surveyquestions, the comments made by the students in response to open-ended questions, both in the focusgroup and on their surveys, provide additional insight into their reflections on the impact of the REU andtheir interest in the research topic and research in general.SatisfactionOverall, the students have been happy with the REU experience, and good post-site ratings for the firstyear became even better in the second year. These ratings are presented in Table 1. Students who gaverelatively lower ratings tended to be those who
education. In the hopes of filling the void, Gavin [11]suggests that “problem based learning should be used as a partial solution to developprofessional problem-solving skills through the application rather than the acquisition ofknowledge” and as such uses project-based learning in his capstone design course. Gavin’s [11]review of project-based learning was in context of a capstone design course that is focused onstructures engineering; however, the pedagogies described can be easily transferred totransportation engineering design. In the course, learning is directed by the problem itself andstudents are required to guide themselves toward a solution. Self-reflection through questionssuch as ‘What did I learn?’ and ‘What further knowledge do I
differentiating factors like race, ethnicity and age can be thought of asthe future scope of this particular study.AcknowledgementThis material is supported by the National Science Foundation under DUE Grant Numbers1501952 and 1501938. Any opinions, findings, conclusions, or recommendations presented arethose of the authors and do not necessarily reflect the views of the National Science Foundation.References[1] Langdon, D., Mckittrick, G., Beede, D., Khan, B. & Doms, M., (2011). Stem: Good jobs now and for the future. Esa issue brief# 03-11. US Department of Commerce.[2] Carnevale, A.P., Smith, N. & Melton, M., (2011). Stem: Science technology engineering mathematics. Georgetown University Center on Education and the Workforce.[3
supplementary open questions related to participants’ experience in thecollaborative virtual assembly task, their reflections, and feedbacks. The development of these two questionnaires will follow the instrument developmentprocess in the affective domain introduced by McCoach, Gable, & Madura [35]. Specifically, foursteps will be completed in sequence: (1) literature reading and existing similar instruments search;(2) item writing or revision; (3) content validity assessment; (4) face validity assessment. Two orthree researchers in the engineering education and the automotive fields will be invited to assessthe validity of generated items and 3–5 undergraduate students to evaluate whether the instrumentscan be understood for the face
Qualitative Researchers, 2nd ed. Thousand Oaks: SAGE , 2012.[17] J. Walther, N. W. Sochacka, and N. Kellam, “Quality in Interpretive Engineering Education Research: Reflections on an Example Study,” J. Eng. Educ., vol. 102, no. 4, 2013.[18] L. K. Su, “Quantification of diversity in engineering higher education in the United States,” J. Women Minor. Sci. Eng., vol. 16, no. 2, 2010.[19] E. D. Tate and M. C. Linn, “How does identity shape the experiences of women of color engineering students?,” J. Sci. Educ. Technol., vol. 14, no. 5–6, pp. 483–493, 2005.[20] C. Hill, C. Corbett, and A. St Rose, Why So Few ? Women in science, technology, engineering and mathematics. Washington, DC: American Association of University Women