Paper ID #44710The Impacts of Reflective Writing on Peer Evaluations in EngineeringDesign CoursesMr. Adam Weaver, Baylor University Mr. Adam Weaver joined the Baylor Department of Electrical and Computer Engineering with over 15 years of experience in industry and government service. He served in the Active Duty Air Force as an engineer for over eight years, specializing in test and evaluation of avionics, guidance/navigation, and space systems. After his time in the military, he worked as a Propulsion Test and Integration Engineer with Space Exploration Technologies as well as multiple positions with L3Harris
University Tirhas A. Hailu Edward E. Whitacre Jr. College of Engineering Texas Tech University AbstractEngineers are increasingly looking for inspiration in the design of structures and processes to solveproblems in engineering practice. Bioinspired design uses nature as the influence and inspiration forcreating and improving designs. Through its application, bioinspired design has a long and expandinginfluence on human technology. As a reflection of this impact, more and more engineering collegesare incorporating bioinspired design into their curricula. Starting in the fall of 2020 the Texas
University of Mary Hardin-Baylor (UMHB) was redesignedfor the Fall 2022 semester to improve student engagement and retention in the engineering program.The course design centered around an individual design project, with supporting modules to preparestudents for the project. Student feedback (in the form of student reflections) provided insight intohow students interacted with the project. Despite being an individual project, many students describedcommunity building that occurred through collaboration. Students also described a sense ofaccomplishment from completing a difficult, open-ended design problem. The redesigned course hasbeen offered in two semesters (Fall 2022, Fall 2023), and the retention rates for students enrolled inthese courses
strategies charter for their class project reflection on team building activity • Short reflection/assessment• Short reflection/assessment • Short reflection/assessment Proceedings of the 2024 ASEE Gulf-Southwest Annual Conference West Texas A&M University, Canyon, TX Copyright 2024, American Society for Engineering Education 4 Implementation PlanThe UNITES teamwork skill development project was launched to enhance our undergraduatecurriculum in the mechanical engineering
LLM, like ChatGPT, into educational settings has the potential to enhancemotivation and self-efficacy among students1, but excess use of these resources can yield adverseeffects. Students' cognitive skills rely on their self-efficiency and self-motivation. Studies haveshown that the lower their motivation and self-efficacy to acquire cognitive skills, the higher theiravoidance of tasks. In contrast, those with higher motivation, self-efficacy, and self-motivation arelikely to engage with tasks using their knowledge and expand their borders7. LLMs could restrictstudents from reflecting on their learning process; instead, students might overlook their strengthsand areas for improvement. LLMs could suppress the development of a growth mindset8
,formative assessment approaches aim to develop talent, which is more likely to reduce barriers facedby female engineering students as well as those students in underrepresented groups in STEM fields.These methods encourage reflection, which enhances learning, and they increase the intrinsicmotivation to learn, which teaches skills and creates enthusiasm for life-long learning. This is thegoal of education. Engineering education reimagined to allow a cycle of try, fail, study, try again,and learn, based on a growth mindset, is progress toward providing true quality education. It alsolevels the playing field, increasing the possibility of success for women in engineering, and reducingbarriers often encountered by students of color, indigenous
Factor (EF) is primarily linked toCovid-19 (EF2) as the impact of other factors is more variable across participants. In addition tofurther illumination of the responses for the activity codes, examination of the subcode data revealedan interesting pattern where several individual overall program codes have negative response patterns– matriculation (bureaucratic & academic issues before first class) (OP2), fellowship requirements(OP3), and bureaucratic and administrative issues after first class (OP4) - even though the aggregatevalue of the response code for Overall Program (OP) is (slightly) positive as shown in Figure 2. Ascan be seen by the subcode names, all of these reflect activities that participants viewed as eitherbureaucratic or
energy projects should be developed with the involvement of local communities and stakeholders.It is common to observe that the sentences generated by ChatPGT are often longer than those writtenby students. The overall flow of the sentences and paragraph are more coherent than normal, and keywords are used throughout the writing. Overall the AI-assisted writing is considered to be excellent.A negative observation is that writing is non-natural for the student. An example of non-natural wordchoice is the underlined “disproportionately borne” which is a phrase not expected in the student’sverbal communication. A student’s writing style and word choices are reflective of their verballexicon. If they do not use words and phrases
: Reflections and recommendations.” The Sport Psychologist, 33(4), 345-355, 2019. 15. H. Lee, S. Kim, & Y. Song “An intergenerational mentoring program for emerging adult university students.” Journal of Intergenerational Relationships, 19(1), 41-56, Implementation: Pre-semester workshops prepared near- Fig. 1. Theoretical Framework of Dual- Form Mentoring Model for EL 1301 2021. 16. R
. FindingsIn the following, we provide an evidence-based answer to each of the three research questionsbased on student responses. The tables with relevant data are included as appendices 1 through 3.What are the features of Hispanic Engineering students’ social networks?The number of listed people as key supporters varied between 0 and 20 with an average of fivesupporters. The average network density, reflecting the number of interrelationships amongsupports, was three connections within a social network of five people. This indicated a closerelationship between supporters and the students. The large majority of alters had Hispanicidentities. More than a third of alters had a high school diploma or GED and about a quarter hada bachelor’s degree. The
specimens were printed, any plastic burs were removed via an X-acto knife. Then thespecimens were labeled with the following system template: 𝑁𝑁𝑁𝑁 − 𝑆𝑆In this template 3 pieces of information were recorded. N was the number of holes and rangedfrom 0 to 3. O was the size and orientation of the holes: B for base, iL for in line and small, and Lfor large. Lastly, S reflected the sample number. After each sample in a set was labeled, they weretested using a single column Tensile Testing Machine from My Lab Equipment. Each sample wasphotographed before and after the tensile test was conducted, as well as videotaped during the test.Using the Tensile Testing Machine’s built in data collection tools the
Press, 3175 Princeton Pike, Lawrenceville, NJ 08648.2. Kolb, A.Y. and Kolb, D.A., 2005. Learning styles and learning spaces: Enhancing experiential learning in higher education. Academy of management learning & education, 4(2), pp.193-212.3. Andersson, A. and Kalman, H., 2010. Reflections on Learning in Interdisciplinary Settings. International Journal of Teaching and Learning in Higher Education, 22(2), pp.204-208.4. Nickel, A.M., Farrell, J.K. and Domack, A., 2016, June. Science Fiction Literature Crossed with Nanotechnology: How Experiential Learning Enhances Engineering Education?. In 2016 ASEE Annual Conference & Exposition.5. Nickel, A.M., Farrell, J.K., Domack, A. and Mazzone, G.E., 2018, June. Measuring
error for each datapoint reflects the heterogeneityof cells (Figure 5). Dead ReNcells are spherical, displaying little heterogeneity in morphology. Sincethese NSCs are dead before the buffer washing process, surface proteins and ion channels are similaracross these dead cells which is reflected by the smaller standard error bar. As for live progenitor cells,they exhibit a higher standard error due to the environmental stress they experience during bufferwashes with NaCl concentrations.Figure 5. Electrophoretic mobility measurements of Live Undifferentiated ReNcell VMs and DeadUndifferentiated ReNcell VMs as a function of added salt concentration. The symbols represent the average of three experimental measurements.To
licensing and the number of users differ from commercial setups. • Domain Experience: to help bridge the OT/ICS domain experience, we consider a phased approach where we first focus on example processes that are representative of classes of industries. In such processes, we start with a testbed setup, including devices and processes reflecting the lower levels (Levels 0 - sensors/actuators, Level 1 - simple control/PLC) of the Purdue Model. We progress in later phases to higher levels of the Purdue model. To further make the domain expertise accessible to students, multiple resources were developed to walk students through building, configuring and operating the testbed with details including
protection engineering initiative.The conclusion of this track results in the attainment of a certificate in fire protection engineering,which is reflected on the transcript. This specialization is established through a collaboration withPantex and the Department of Energy, driven by the identified demand for fire protection engineerswithin the National Nuclear Security Agency. The mechanical engineering program also provides arange of elective courses, such as sustainability, robotics, power plants, combustion theory, alongwith several approved 3000 level courses from civil, environmental, and electrical engineeringprograms. Civil EngineeringThe civil engineering program was approved by the TAMU system and
/nsf22057.pdf2. Malachowski, M.R., 2020, “Reflections on the Evolution of Undergraduate Research at Primarily Undergraduate Institutions Over the Past 25 Years,” Council on Undergraduate Research Quarterly, Vol. 3, No. 2, pp. 38-45.3. Kurwadkar, S.T. and Marble, D.K., 2012, “Undergraduate Environmental Engineering Research Experiences in a Predominantly Undergraduate Teaching Institute,” Proceedings of the ASEE Annual Conference, 2012.4. Shen, H., Miller, R.F., and Sawyers, D., 2010, “Research Experience at an Undergraduate Institution,” Proceedings of the ASEE Annual Conference, 2010.5. Mehta, Y.A., Dusseau, R.A, and Ramachandran, R.P., 2013. “Conducting State-of-the-Art Research in an Institution with a Strong Undergraduate
Copyright © 2024, American Society for Engineering Education 3VLOOKUP and MAX function in Excel and formulated for each of the 720 sequences for eachproblem. S. No Variable Description 1. F* = Total Sum of the six job flowtimes for the sequence chosen by following flowtime the heuristic. yielded by using the heuristic 2. Prob (F≤ F*) Probability that F, the total flowtime for any of the sequences will be less than on equal to F*. Lower probabilities will reflect a result closer to the minimum flowtime job permutation in the population. 3. Rank of
, “Mentoring in Cooperative Education and Internships: Preparing Protégés for STEM Professions,” Journal of STEM Education: Innovations & Research, Vol. 11, No.1, pp. 17-26.12. Brunhaver, S. R., Korte, R. F., Barley, S. R., Sheppard, S. D., 2017, “Bridging the gaps between engineering education and practice,” In US Engineering in a Global Economy, University of Chicago Press, pp. 129-163.13. Rodriguez, R., Imperial J. M., Montefalcon M. D., Padilla J. R., Trillanes A., Abisado M., 2023, “Comparative Thematic Analysis of Reflections from Physical and Virtual Internship Experiences of Computing Undergraduates Students,” Proceedings of the 11th International Conference on Information and Education Technology (ICIET
absorbssolar radiation, it heats up, then emits radiation from its surface to cool down and achieve radiativebalance18. The Earth’s hydrosphere is composed of all water including in oceans, lakes, rivers, andgroundwater. The hydrosphere plays an essential role in the climate system because water transportsheat better than air; hence, so the impacts of climate change will be transmitted by water19. The Earth’scryosphere is composed of the surface snow and ice as well as permafrost or ground ice. Thecryosphere is important when considering surface reflectance or the albedo effect; the sun’s energy is Proceedings of the 2024 ASEE Gulf-Southwest Annual Conference West Texas A&M University, Canyon, TX