the total activity time and total lecture time on a specific concept. From Figure9(b), we observe that the basics concept had the highest weight in the exam. However, the pointsallocated to exam questions on conditions and functions does not align well with the timeallocated for class time. Conditions, which has the least class time, accounted for 9.17% of theexam grade, whereas functions accounted only for 5.42%, despite devoting the highest amount ofclass time. This analysis empowers instructors to design fair exams based on their in-class timeallocation or adjust the in-class activities to reflect the exam expectations.Preceptor SurveyTo measure the overhead of the FEAL form administration and its impact on the preceptors’ability to
engineeringdesign and problem solving. Both coding word sets identified these points.Looking back, what part of the program was most rewarding for you?“It was incredibly rewarding we finished building the prototype, tested it, and got very promising results! Thefact that we had designed and built a functioning device from nothing was impressive.“Providing students with the opportunity to develop their own solutions from design to prototypingallows them to develop a personal investment in the project. Creating a functional prototype for ahumanitarian client can be incredibly rewarding for students as they reflect on not only the skillsthey have developed but the lives they can improve. This personal investment significantly boostsstudent motivation and
Incorporation of Incorporation of Incorporates some Engineering engineering practices engineering some engineering opportunity for Practices are evident and practices are evident practices are evident students to carry Engages students in include opportunities and include and include out an investigation authentic and for students to: opportunities for opportunities for meaningful 1. Ask questions (for students to: students to: scenarios that reflect science) and defining 1. Ask questions (for 1. Ask questions (for the practice of problems (for
wereimportant in helping them decide their major. Self-led exploration of the engineering disciplineswas the top occurrence, followed by advice from people not at Purdue, advice from other Purduestudents, and several others. Interviews with students confirmed the survey results. Students’own research and initiative to talk to others helped them identify which pathway to take. In aseparate survey, students answered the question “Did activities help you decide whichprofessional school to enter? Explain.” Course presentations were, by far, listed most often. Thisis similar to the results of the study presented in this paper.Continuous RefinementThere are numerous ways to support students in reflecting upon their interests and goals.Students were given the
learning. This research needs to continue in otherengineering courses, including upper-level undergraduate courses, to understand similarities anddifferences in this established framework.AcknowledgmentThis work was made possible by a grant from the National Science Foundation (NSF EEC1227110). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author and do not necessarily reflect the views of the National ScienceFoundation.Bibliography1. Zawojewski, J. S., Diefes-Dux, H. A., & Bowman, K. J. (Eds.) (2008). Models and modeling in engineering education: designing experiences for all students. The Netherlands: Sense Publishers. (change 10 to 1, add 1 up to 10 to all so would be 12)2
, Writing and Learning Disabilities Vol. 6, pp. 223-247.9. Johnson, D.W., Johnson, R.T. & Smith, K.A. (1991), “Active Learning Cooperation in the College Classroom,”Edina, MN: Interaction Book Company.10. Fairhurst, A.M., & Fairhurst, L.L. (1995), “Effective Teaching, Effective Learning,” Palo Alto, CA: Davies-black Publishing11. Dale, E. (1969), “Audiovisual Methods in Teaching,” (3rd ed.), New York: Dryden Press.12. Wankat, P.H. (1999), “Reflective Analysis of Student Learning in a Sophomore Engineering Course,” Journal ofEngineering Education, Vol.88, (no.2), 195 -203.13. Finelli, C., Klinger, A., & Budny, D.D. (2001), “Strategies for Improving the Classroom Environment,” Journalof Engineering Education, Vol 90, (no.4), pp. 491
downstream courses does not reflect as many students as captured inthe upstream data.With this caveat in mind, the data for ME 320 (Dynamics) are presented in Figure 4 and Figure5. Figure 4 shows the grade distributions for ME 682 (downstream course) as a function ofwhether students in ME 682 took ME 320 with or without UGTFs. It can be seen that theaddition of UGTFs to the ME 320 classroom in Spring 2016 correlated with a reducedpercentage of students getting a D or F in the downstream course by 5.4%, and increasedthe percentage of students earning a C (8% compared to 1.8%), but did not improve thepercentage of students scoring an A or B.This data may be further parsed by examining Figure 5, which shows grades between ME 320and ME 682 correlated
they need technical support. It isinteresting to note that these findings were consistent among students regardless of their levels ofexperience with online and face-to-face course formats. We might conclude that these aregenerally universal needs for all students, and thus, issues of prompt communication andfeedback may merit solid attention from course designers and faculty members.Value for instructor roles related to technologyOverwhelmingly student responses to the question “What can your instructor do with technologyto better support your academic success?” requested more use of technology. This reflects apositive outlook for the use of technologies to increase learning. Because students saw greatopportunities to enhance their success
transformed into themental model, and the author believe that virtual and physical laboratory sessions are strongeducational tools for facilitating this transformation. Moreover, those laboratory sessions alsohelp completing the optimal learning path consisting of Concrete Experience, ReflectiveObservation, Abstract Conceptualization, and Active Experimentation [14]. To cite an instance,providing the students second chance to improve their grades might set an example for reflectiveobservation, where the student might observe himself/herself based on already received grade,and reflects and improves their standing by actually improving the answers based on the finaldiscussion. It has been indicated that this scheme is supported by the students, and
of two entangled beams of photons aimed at asubstance and measure the interference pattern in the reflected beams. The use of entanglementsignificantly increases the information content gathered as the measurement of one photon willgive you information about the other. This technology has a great potential in medical use wherenon-invasive, real-time imaging of a living organism is desirable. [17] Similar techniques inastronomy are expected to improve the performance of interferometers in astronomy. Forinstance, while LIGO finally detected gravitational waves from colliding black holes in 2015using Michelson interferometers, entanglement enhanced interferometry can help detect weakergravitational waves. [18]2. Quantum Communications &
, interdisciplinary teaching and learning, reflective eportfolios and professional development of graduate students related to teaching.Prof. David E. Claridge P.E., Texas A&M University David Claridge is the Director of the Energy Systems Laboratory and the Leland Jordan Professor of Mechanical Engineering at Texas A&M University and a Professional Engineer. He holds a B.S. in Engineering Physics from Walla Walla College and M.S. and Ph.D. degrees in physics from Stanford University. He is internationally known for his work on energy efficiency. He pioneered development of the process of existing building commissioning which is today generally recognized as THE most cost-effective way to reduce energy use in buildings
and can be easily incorporated into an existing curriculum.7. Acknowledgments This material is based upon work supported by the National Science Foundation under GrantNo. 504030. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author and do not necessarily reflect the views of the National ScienceFoundation. Photos in Figures 3 and 6 are courtesy of Adafruit.com.Bibliography[1]. S. A. Ambrose et al., How Learning Works: Seven Research-Based Principles for Smart Teaching. Jossey-Bass, 2010.[2]. C. J. Atman, et al., Enabling Engineering Student Success: The Final Report for the Center for the Advancement of Engineering Education, 2010.[3]. S. Sheppard, et al
for brainstorming include: there are no dumb ideas; Successful: do not criticize other people’s ideas; build on other people’s Visual, hands- ideas; and reverse the thought of “quality over quantity” on-activity, qualitative meaning the more ideas the better and the quality of an idea data, is not as important at this phase. encourages new ideasPareto Analysis A Pareto analysis reflects the frequency or impact of Initially problems. The
improvecourses by bettering integrating the training and laboratories, applying inquiry based learningmethods such as flipped classrooms and more judicious selection of topics. The managementteam is also working at better defining the course requirements for the student cohorts to betteraccommodate different levels of expertise in biology, mathematics and data science.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNumber DGE-1545463. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.Bibliography[ASPB, 2013] American Society of Plant Biologists, Unleashing a Decade
laboratory environments.Acknowledgement This research is funded by the National Science Foundation NSF NRI #1527148. Anyopinions, findings, or conclusions found in this paper are those of the authors and do notnecessarily reflect the views of the sponsors.References1. National Robotics Initiative 2.0: Ubiquitous Collaborative Robots (NRI-2.0) (nsf17518) | NSF - National Science Foundation.2. Tucker C, Kumara S. An Automated Object-Task Mining Model for Providing Students with Real Time Performance Feedback. In: ; 2015:26.178.1-26.178.13.3. Hu Q, Bezawada S, Gray A, Tucker C, Brick T. Exploring the Link Between Task Complexity and Students’ Affective States During Engineering Laboratory Activities. In: ASME 2016
, 2011) argue that while there are three main affordances — proximity,privacy, and permission — that support interactions in a space, finding the right balance amongthem is crucial because “a lopsided distribution is more likely to inhibit than promote beneficialinteractions” (Fayard and Weeks, 2011, p.110). In particular, Fayard and Weeks (2011) stressthat people always interpret what are the appropriate behaviors in a space (e.g., in a librarypeople tend to be silent or speak in a low voice) and that these interpretations often reflect anorganization’s culture.The role of culture is also highlighted in research on makerspaces, especially through the senseof community makerspaces promote and nurture: “Participants often refer to the space as
women and URM, but Pell-eligible students are not as wellserved.6.0 AcknowledgmentsThe authors gratefully acknowledge the support of the National Science Foundation throughGrant No DUE-1347830, and the ongoing support of the Dean of Arts & Sciences and the Officeof the Provost.ReferencesAllexsaht-Snider, M. and Hart, L.E. (2001). Mathematics for All: How do we get there? Theory IntoPractice, 40(2) 93-101.Ames, C. (1992). Classrooms: Goals, structures and student motivation. Journal of EducationalPsychology, 84, 261-271.Bandura, A. (1977). Self-efficacy: Toward a Unifying Theory of Behavioral Change. PsychologicalReview 84 (2), 191-215.Bloom, B. S. (1994). "Reflections on the development and use of the taxonomy". In Rehage, Kenneth J
. Grant funded career navigation efforts continue to be institutionalized within the university structure. Career navigation focused initiatives are also undergoing an evaluation to better understand how these efforts support the project’s overall objectives and project goal. Acknowledgements Support for this research was provided by the National Science Foundation ADVANCE Institutional Transformation program under Award No. 1209115. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. References1. “RIT_EFFORT_Career_Life_Survey.pdf” NSF ADVANCE RIT (2009, October). Web
number offemale students enrolled in engineering. As a new program, we had to demonstrate (1) suchtraining would be beneficial in the retention of our engineering students and (2) could be beoffered with minimal use of resources. Over 14 semesters TCC investigated several methods andformats to structure such a program (see Figure 1).The variety of methods reflects attempts to balance the two objectives above, with the politicaladministrative landscape at TCC toward adopting spatial visualization into curriculumrequirements. If the benefits could be shown, would spatial visualization become a required skillassessment tool, like existing math placement tests? Or would spatial visualization fit better arequired 1-credit course? Despite impressive
address the complex problems faced by civilization today. It requires looking atthe world’s problems in a more holistic way and being able to interact with a wide range oftechnical and non-technical stakeholders from various disciplines and walks-of-life, rather thanremaining in traditional silos of technical expertise and schools of thought. This newepistemology of engineering education also promotes reflective and adaptive practice, systemthinking, engagement, and fieldwork. Finally, it promotes a humanization of the engineeringprofession and emphasizes that engineering is above all - and has always been - about people.Analyzing the integrated nature of the SDGsIntegrating the SDGs in engineering education requires developing a curriculum with
costly,and eventually were stopped or replaced with traditional lectures. Nonetheless, these studies andattempts had a significant contribution in underlying the importance of practical approaches inconveying knowledge to students in heat transfer and thermodynamics courses, which traditionallyare dry-lecture based. Moreover, the contribution of thermal-fluids energy systems performancein global sustainable development is substantial but was not emphasized until recently. Thereforeit may not be reflected in the already developed learning modules for these traditional courses.Our team re-developed our thermal-fluid related courses in Engineering Technology curricula byincluding several modules involving industry-like scenarios as laboratory
get a better indication of student opinion about theeffectiveness of these activities, a survey was administered at about the mid-point of the course.Students agreed (4.2 / 5.0, n = 95) that the hands-on learning activities completed to that pointwere contributing to their learning. As shown in Figure 9, student opinion increased slightly (4.3/ 5.0, n = 227) by the end of the term when the same question was asked again on the course-end-feedback survey. Figure 9 Student feedback on value of hands-on learning activities (1-strongly disagree, 2-agree, 3-neither agree nor disagree, 4-agree, 5-strongly agree)Many of the student comments on the mid-term feedback survey reflected a positive opinion ofthe hands-on activities. A few
personalcomputer in the 1980s and the obvious possibility of using the computer as an automated form oftutor, or as an “intelligent tutoring system” (ITS). [42] An ITS is “any computer system thatperforms teaching or tutoring functions (e.g., selecting assignments, asking questions, givinghints, evaluating responses, providing feedback, prompting reflection, providing comments thatboost student interest) and adapts or personalizes those functions by modeling students’cognitive, motivational or emotional states.” [31] As might be expected, STEM topics – andcomputer science in particular – proved well-suited to these modeling efforts. Not only werecomputer scientists the ones designing the computers in the first place, but they were alsooperating in a
., Williams, L. (2004). Voices of women in asoftware engineering course: reflections on collaboration. Journal on EducationalResources in Computing, 4(1): 3.[21] Laeser, M., Moskal, B. M., Knecht, R. (2003). Engineering design: Examiningthe impact of gender and the team's gender composition. Journal of EngineeringEducation, 92(1): 49-56.[22] Du, X. Y. (2006). Gendered practices of constructing an engineering identity in aproblem-based learning environment. European Journal of Engineering Education,31(1): 35-42.[23] Du, X., Kolmos, A. (2007). Gender Inclusiveness in Engineering Education-IsProblem Based Learning Environment a Recipe?. European Journal of EngineeringEducation, 7(5): 25-38.[24] Stein, L. A., Aragon, D., Moreno, D. (2014). Evidence for
name. As indicated byLeydens, 20% to 40% of the work hours are spent in writing for engineers in the first few yearsin their career, which increases to 50% to 70% when they are promoted to middle managementpositions and over 70% and even to 95% when in senior management positions. This reflects thefact that technical writing is a skill set providing a life-long career benefit7. Thus, technicalwriting should be included in the curriculum throughout the whole higher education system. Onthe other hand, numbers of Chinese students are growing to study abroad, especially going toEnglish speaking countries such as US and UK. According to the news8, the number ofinternational students in US reached over one million in 2016. Among all international
activities to develop students’ reasoning skills and therefore, increase engineeringstudents’ physics learning.IntroductionScientific reasoning refers to “cognitive abilities such as critical thinking and reasoning” (Bao etal, 2009, p. 586) or “skills involved in inquiry, experimentation, evidence evaluation, andinference that are done in the service of conceptual change or scientific understanding”(Zimmerman, 2007). It is needed in problem solving situations and requires methods of scientificinquiry such as the cycle of analysis, testing, reflection and revision, in order to construct adeeper understanding of the situation. Scientific thinking is “purposeful thinking that has theobjective of enhancing the seeker’s knowledge” (Kuhn, 2010, p. 2).To
prior projects underthe same faculty in future years. The report also provides students with an opportunity to learnhow to write academic research papers and reflect on their semester’s work. Guidelines areprovided in Appendix C. Sample Projects and Outcomes. Over the tenure of the FIRE program, a number of projectshave been offered, ranging from analyzing human gait to develop a prototype for a prosthetichuman ankle to modeling and creating energy models of buildings for predicting energy efficiencymeasures to designing a fire suppression system. The project offerings selected for each cohorttake advantage of faculty expertise while maintaining a balance of theory based analysis (such asgenerating order of magnitude calculations or