.[3] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering design thinking, teaching, and learning”, Journal of Engineering Education, vol. 34, no. 1, pp. 103–120, 2005. Page 12 of 13[4] L. Oehlberg and A. M. Agogino, “Undergraduate Conceptions of the Engineering Design Process: Assessing the Impact of a Human-Centered Design Course,” at 2011 ASEE Annual Conference & Exposition, Vancouver, BC., http://doi.org/10.18260/1-2—18519.[5] R. N. Savage, K. C. Chen, and L. Vanasupa, “Integrating Project-based learning throughout the undergraduate engineering curriculum,” Journal of STEM Education, vol
value and success in multidisciplinary multi-year co-curricular programs such as the GCSP will also be discussed.Introduction and MotivationUndergraduate engineering students face many options in their education today, all of which canshape their academic pathway and influence their persistence in their degree program and futurecareer plans [1]. But what is it that motivates or influences a student to decide to participate inone program or activity versus another? And what influences a student’s decision to continue toengage (or not) in that program or activity? Several studies have been conducted to assess theimpact of students’ participation in various types of activities outside of the classroom onstudents’ skill development, professional
the United States. While they noted many differences between therequirements of individual institutions, courses in calculus, physics, statics, and thermodynamicswere almost universally required [8]. These areas of study are crucial to the success of abiological systems engineer after graduation, making it even more important that transfer oflearning successfully occurs between them.Most of these studies quantified the occurrence of transfer by assessing students’ performanceagainst a desired outcome. This analysis of curriculum presents a “paper view” of transfer,potentially limiting conclusions that can be drawn about student experiences. There has beenlittle focus on the students’ perspectives of their own transfer, or how they perceive
Competence Attitudes Application and valuesFigure 1. Definition of competence in Tecnologico de Monterrey.A coherent integration of these three aspects allows students to demonstrate consistent behaviorswhen performing tasks or assessments. This characteristic of students is desirable, sinceconsistent and repeatable behaviors towards educational activities imply the adequatedevelopment of a competence and facilitate the acquisition of greater domain levels of suchcompetences [3]. Moreover, literature show that use of technology improves engagement ofstudents and allows a better development of competences [4], hence, developing technological –based solutions for student’s learning is
environment. The aimof the study is to assess the impact that performing lean projects in Virtual Reality has on thestudents’ comprehension of lean implementation methodologies.Literature ResearchLean Manufacturing is a corporate strategy aimed at eliminating waste in the production processto enhance the value of a product or service [4]. This approach focuses on identifying andefficiently eliminating waste in operational activities to improve efficiency during the productionprocess [5]. Regarded as a revolutionary methodology, Lean Manufacturing aims to increaseresource utilization while minimizing waste. Studies have shown that it significantly enhancesplant efficiency and reduces processing times in key manufacturing operations [6].Its
lack confidence in their understanding of materialrelated to 3D problems and their ability to visualize them. This sentiment is reinforced by examscores taken in the same semester, with problems involving 3D vector addition, 3D particleequilibrium, and 3D moment of a couple all averaging below 75%. Additionally, problemsrelated to 3D moment of a force about an axis and 3D simplification averaged below 60%. Figure 1. Results of students’ self-assessment of the 3D visualization problems.Upon reviewing survey results and considering additional feedback from students, it wasidentified that many students require more effective approaches to visualize 3D problemseffectively. The specific topics covered in 3D or with a significant emphasis on
outcomes of the initial pilot for assessment validation.MethodologyThe first part of this exploratory study, which is reported in this article, uses a qualitativeapproach [11], [12], [13] to measure the cognitive performance in architecture students.The data was collected during Fall 22, Spring 23, and Fall 23, in 4 courses of constructionIII (62 junior students), 1 course of Constructions I (18 sophomore students), and 4 coursesof Sustainability (49 senior students) to a total sample size of n=129 students. All studentsprovided responses. The survey contained both closed- and open-ended questions. Thesurvey aimed for students to self-report their perception regarding the benefits of deliveringa mind-map before an examination, and the perception
Enhance Learning and Soft Employability Skills in Architectural Technology Education,” in286 Building Information Modelling, Building Performance, Design and Smart Construction,287 M. Dastbaz, C. Gorse, and A. Moncaster, Eds., Cham: Springer International Publishing,288 2017, pp. 79–92. doi: 10.1007/978-3-319-50346-2_6.289 [30] D. Nikolic, F. Castronovo, and R. Leicht, “Teaching BIM as a collaborative information290 management process through a continuous improvement assessment lens: a case study,”291 Eng. Constr. Archit. Manag., vol. 28, no. 8, pp. 2248–2269, 2021.292 [31] R. Tayeh and R. R. A. Issa, “Developing Construction Information Systems Courses Based293 on Collaboration between Industry and
a lessonon data science and several laboratory exercises on topics of bioretention basins, wetlands,physico-chemical processes, and green roofs. The students’ performance in the projects steadilyimproved each year and grades for the course increased each year. The grades for the 2023 classwere significantly higher than the grades for the 2019 class, which was the first year the coursewas taught. We believe this is likely due to the addition of the experiential learning componentsto the class. The revised course received positive student comments in the course assessment,which indicated enhanced student interest and learning.Keywords – Ecological Engineering instruction, experiential learning, project-based learning,nbs, nature-based
belonging at theuniversity level consists of five items that assess students’ sense of belonging within theiruniversity. Items were answered on a 7-point Likert-type scale (1= Not at all, 7= Very much so).An average score across items was calculated with higher scores reflecting higher sense ofbelonging at the university level. A sample item for sense of belonging- university level is “I feelthere is a sense of community at this school.” Sense of belonging- engineering major level. Sense of belonging at the engineeringmajor level consists of ten items that measure students’ perceptions of belonging within theirengineering major. Items were answered on a 7-point Likert-type scale (1= Not at all, 7= Verymuch so). An average score across items
,Engineering, and Medical Disciplines. In Promising Practices for Addressing theUnderrepresentation of Women in Science, Engineering, and Medicine: Opening Doors. NationalAcademies Press (US).[21] Fouad N. A., Santana M. C. (2017). SCCT and underrepresented populations in STEMfields: Moving the needle. Journal of Career Assessment, 27, 24–39.[22] Hill, C., Corbett, C., & St. Rose, A. (2010). Why so few? Women in science, technology,engineering, and mathematics. American Association of University Women.[23] Martin, E. (2016, August 4). Could STEM scholarships for women be the key to closing thegender gap in tech? How can companies help bridge the existing gender gap in tech?Computerworld. https://www.computerworld.com/article/3102090/could-stem
College of Engineering has sproutedsignificant interest and excitement in what library spaces and services can offer to theburgeoning interdisciplinary programs offered by MSU. As a geographical and social hub for thecampus, the Mitchell Memorial Library is an ideal place to support the university's research,learning and service activities.Data is being collected regarding the usage of the MSU Library. Furthermore, we intend todevelop user surveys to distribute to faculty, staff and students to assess what areas of thetransformed library are used the most. Through social media campaigns and other on-campusadvertising, we intend to show that this new library model is “open for business” and wants to bethe central intellectual and social hub of the
student rather than a correlate of a lab-specific quality. Mindsets such as“motivation” are notoriously difficult to assess, but recent advances in measuring implicitcognition [11] (attitudes, biases, and beliefs of which the individual is not consciously aware)may allow us to better measure mindsets that influence persistence in laboratory teams andpersistence in science [12].Literature cited[1] E. Seymour, A. Hunter, S. L. Laursen, and T. DeAntoni, “Establishing the Benefits of Research Experiences for Undergraduates in the Sciences: First Findings from a Three- Year Study,” Science Education, vol. 88, no. 4, pp. 493-534, Jul. 2007.[2] D. Lopatto, “Survey of Undergraduate Research Experiences (SURE): First Findings,” Cell Biol Educ
integration during Triple Integrals exercise. Page 22.1513.6Evaluation MethodEvaluation QuestionsTo assess the overall usability of simulations and to evaluate the value of the simulationprograms from the student perspective, we conducted an evaluation study with the followingthree questions:1. How do students perceive the use of interactive simulations in their Math class?2. How do students‟ motivational characteristics (i.e., intrinsic and extrinsic goal orientations and confidence levels in studying science, math and engineering) relate to their perceptions in using simulations during the Math class?3. What aspects of the simulation
(performance,cost, schedule, and risk). Key aspects of this phase include the development of a functional flowof the payload, proposed alternative solutions, decision techniques, and the development of aconcept of operations which will be the basis of the proposed design. This phase culminates in apreliminary design review with an external review board to assess the performance of each highschool team.Phase 3 (green) is the detailed design phase of the project. During this phase the high schoolteam provides a detailed design of their selected concept (from Phase 2), prototypes the concept, Page 22.1474.7and learns about verification and testing to meet
, definition and scoping. This knowledgecan inform the design of assessments, track students‟ progress and provide feedback tostudents on ways to help them improve.In this course teams were given additional design challenges that required them tosystematically reflect on the goals and translate them into specifications and metrics. Weanticipate this kind of training enhances students‟ ability to approach design and we willtest it in a follow on study. The same students are now enrolled in the Spring 2011semester. The course objectives are similar, but the expectation on students‟ performanceis increased. New teams are formed and a similar team building design activity is beingexplored. A pretest is being conducted to evaluate individual‟s approach to
-stakes written exam.Results from this study may inform mechanics of materials educators. Misconceptions may be acontext dependent phenomena. For example, students may be able to correctly answermechanics problems given combined two and three-dimensional representations better than justtwo-dimensional representations. Future research, as stated below, is necessary to more fullyexplore this context dependence. There are also implications for assessment. For example,faculty sometimes place questions and problems on course exams that are in contexts differentfrom those encountered previously, with the goal that students who “really know” the materialwill be able to solve these problems. These findings indicate that encountering new contextsmay
22.1646.5connections, demonstrations, and hands-on practice of content supports these modalities oflearning.2.a.iii Support for student learningEvaluators also found at RPI that use of the Mobile Studio I/O Board is directly supporting theprocess of student learning14. Through surveys, interviews, classroom observations, and reviewsof cognitive assessments, it has been found that I/O boards assist in the structuring andenhancement of valuable learning outcomes. (See Table 1 for a summary of student reportedoutcomes.) In addition, during interviews and through observations it was noted thatcollaborative learning was facilitated by the use of the I/O board. Students who had notpreviously used the I/O boards reported that its integration into instruction enabled
textbooks. A structure built around concise ConceptEssays, web-based tools, and e-books, allows learners from outside the specific field learn whatthey want through a process of iteration.AcknowledgmentsThe concept development work was supported by NASA under the EXTROVERT cross-disciplinary innovation initiative. Mr. Tony Springer is the Technical Monitor.References[1] A. C. Clarke, "Extra-Terrestrial Relays," Wireless World, Vol. 51, No. 10, pp. 305-308, 1945[2] Glaser, P., "Power from the Sun: It's Future", Science, Vol 162, pp. 856-861, 1968[3] Anon, “Satellite Power Systems (SPS) Concept Development and Evaluation ProgramPreliminary Assessment” DOE/ER 0041, US Department of Energy, Satellite Power SystemProject Office, NASA TM81142, 1979[4
conversions were also completed by the students. Along with weekly informal discussions,the majority of supplemental mathematics learning was accomplished by the students’ work onthese assignments and their application of these new concepts within the software developmentproject.The students’ progress on these objectives was assessed by assigning, collecting and gradingseveral assignments. The performance of the project was also used to measure how well thestudents met most of the course objectives.The Mathematical ModelThe mathematical model used to compute the predicted balloon trajectory required a number ofsimplifying assumptions. One of the most important assumptions related to the way the windinfluences a balloon’s motion. By assuming that the
Facilities 1996, 10 (2), 46. 3. Delatte, N. J. Failure Case Studies and Engineering Ethics in Engineering Mechanics Courses. ASCE Journal of 1997, 123 (3), 111-116. 4. Rendon-Herrero, O. Too Many Failures: What Can Education Do? ASCE Journal of Performance of Constructed Facilities 1993, 7 (2), 133-139. 5. Rens, K. L.; Knott, A. W. Teaching Experiences, a Graduate Course in Condition Assessment and Forensic Engineering. Forensic Engineering: Proceedings of the First Congress, New York, 1997; pp 178-185. 6. Paul, R.; Niewoehner, R.; Elder, L. Engineering Reasoning; Foundation for Critical Thinking: Tomales, CA, 2007; p 56. 7. Gillum, J. D. The Engineer of Record and Design Responsibility. ASCE Journal of Performance of Constructed
). Creating Collaborative and Comprehensive Programs for Entering Student Success. Presented at the annual conference on the First Year Experience, Denver, CO. February 13, 2010. Retrieved January 11, 2011, from http://www.uc..edu/uploadedFiles/Deans/Feb2010PreConfFYE-SEFRGWMS-v8.pdf . 4. Garcia, L. D., & Paz, C. C. (2009). Evaluation of summer bridge programs. About Campus, 14 (4), 30-32. Retrieved December 22, 2010, from the ERIC database (EJ861257). 5. Hansen, M. J. (2008). Understanding student success and retention. Indianapolis, IN. Indiana University Purdue University Indianapolis, University College Assessment. 6. Pascarella, E. T., and Terenzini, P. T. (2005). How college affects students: Volume II, A
. Rizzi, A. and Vos, J. 5,s.l. : American Institute of Aeronautics and Astronautics, 1998, AIAA Journal, Vol. 36, pp. 668-675.36. Bennett, J. GAMBIT/FLUENT Checklist. First-Year Engineering Program, The Ohio State University.Columbus, Ohio : s.n., 2007. White Paper.37. Assessment by Peers - An Effective Learning Technique. Dziedzic, M. et. al. s.l. : Institute of Electricaland Electronics Engineers, 2008. Fronteirs in Education Conference.38. Accuracy and Reproducability of CFD Predicted Wall Shear Stress Using 3d Ultrasound Images. Augst,A.D. et. al. 2, s.l. : American Society of Mechanical Engineering, 2002, Journal of BiomechanicalEngineering, Vol. 125
and students have united in the creation of a Ph.D. Consortiumfor Engineering Education, which will evolve into an active consortium for 2012.With the continual development of student chapters, the SCC, and other student-focusedactivities, it is necessary to understand the effect of these activities on the marked increase instudent participation in the field of engineering education. Therefore, the purpose of this study isto build upon the 2010 student member needs analysis by assessing the impact of these ASEEstudent-focused activities on student participation. This study analyzes the impact the SCC andstudent chapters have had on the student membership. To accomplish this goal we examine whythe current student members joined ASEE and
so important in the formation of engineers. The formation of theengineer must consider besides the strong basis in basic sciences and basic sciences ofengineering the development of: effective communication; the willing to learn all life; positiveattitudes and behaviors; to work in teams; responsibility for actions and results; respect todiversity; entrepreneurship.A way to acquire and to foster these skills seems to be the big challenge for the institutions.Many discussions are taking place in many meetings and congresses and the general consensus isthat the formation of the global engineer implies the search for ways to foster the qualitiesnecessary to perform globally as well as the assessment of these practices as valuable in a
senior-level undergraduate course in digital communication systems, the following prerequisites werespecified: A basic understanding of various fundamental communication systems engineering principles, such as the manipulation of amplitude, phase, and frequency for the representation of information (e.g., AM, PM, FM), synchronization and phase-lock loops (PLLs), and equalization. A basic understanding of probability theory is order to quantitatively assess the theoretical performance of communication systems operating in the presence of noise and other random sources of interference. Familiarity with Simulink or any general programming language, especially if it is graphical, is needed
studentsparticipated. The results are summarized qualitatively in Table 2. The responses were given based onthe typical rubrics of 1 to 5 (1-strongly disagree, 2-disagree, 3-neutral, 4-agree, 5-strongly agree).Column 2 of Table 2 lists what each question was trying to assess from students’ perception andknowledge. The 3rd column shows the average rubric score given by students for each question.Final column in Table 2 attempts to give a qualitative meaning to the data in column 3 so thatwhether the Verilog HDL content its delivery methods need to be changed for better learning ofHDL based design flows.Almost all the questions posed to students received an affirmative answer ranging from “ok” to“yes” in the qualitative score indicating that the HDL flow and
., “Closing the assessment feedback loop: the use of a qualitative evaluation process from the joint hybrid-electric vehicle/NSF-Penn State science education project,” Proceedings of ASEE AC2005-1410, 2005.9. D. Tallon, R. Streit, C.Y. Wang, C. Bakis, C. Randall, M. Lanagan, et al., “Graduate Automotive Technology Education in energy storage systems - GATE Penn State,” International Journal of Continuing Engineering Education and Lifelong Learning, Vol. 11, No. 4/5/6, 534-541, 2001.10. Rizkalla, M., Yokomoto, C., Pfile, R., et al., “Using senior research, design and development projects in the development of a course in electric vehicle technology,” Proceedings of ASEE AC2000-3432, 2000.11. Rizkalla, M., Yokomoto, C
atlower cost, first to market”, today needs some modification. Today it also matters what the userthinks, and that the design looks appropriate, the company is socially responsible, and the story iswell told.Survey data presented at the end of this paper shows that both groups of students strongly valuemultidisciplinary collaboration. In the spring 2011 semester pre and post-course surveys areadministered to assess how well the course goals are met. These goals are to: 1. Expose first year engineering students to industrial design thinking 2. Gain experience working on multidisciplinary teams 3. Provide a broad exposure to digital prototyping tools 4. Provide the opportunity to conduct an independent study of a digital
moreimportant.Engineers and engineering students frequently do not seriously think about how their designmight impact a community. The social implications of their designs are not one of the criteriathat is used to assess its success. This is in contradiction to what ABET requires schools to teachconcerning engineering design. Criterion 3(h) states that14: “Engineering programs must demonstrate that their students attain the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.”Ignoring societal impacts is also a violation of most engineering codes of conduct. For example,the National Society of Professional Engineers (N.S.P.E.) states in their code as the