. Providing program code. Video clips of the work produced by the group.2. Group B includes: Any comments which cannot be clearly categorised into either Group A or Group C. Comments which our assessors judged had facilitated the progress of group work, without directly triggering a ‘next step’ in the project. For example, just expressing encouragement to other group members.3. Group C includes: Casual conversation unrelated to the project, emoji, and other reactions as well as simple ‘yes’ / ‘no’ type responses. Sharing Zoom links, Google slides, etc. Posting presentation materials in the group chat (as all students have access to these already). Statements with no identifiable meaning. Repetition
weekly, but were not graded. Instead, students were providedwith solution files as well as recommendations for how to use the problems to enhance their (a) Initial notebook given to students without any Python code.(b) Python code typed into the notebook during the lecture to complete it. Figure 2: Example Jupyter notebook for Module 1.Figure 3: Lab stations with smart flower pot. Each station is shared by two student during the lectures for modules2-4.learning and confidence in Python programming. At the end of each course module, studentscompleted a quiz containing exercises similar to the assigned practice problems and a survey togather students’ perceptions of their own learning and feedback on the course delivery.4.1
projects were completed on timeand met the design specifications and requirements.References 1. Hoole S.R.H. (1991) Engineering Education, Design, and Senior Projects, IEEE Transaction on Education, Volume 34, Issue 2, pages 193-198. 2. Ellis B.D., Berube K., Allen J. (2018) Introduction of Electromechanical Projects within a Mechanical Engineering Technology Capstone Program, ASEE Conference for Industry and Education Collaboration, San Antonio, Texas, session ETD 425. 3. Allison B., Ludwick S., Birmingham W.P. (2012) A Mechatronics Capstone Project with an Interdisciplinary Team and an Industrial Partner, ASEE Annual Conference and Exposition, San Antonio, Texas. 4. Jezernik K. (2010) Mechatronics Projects
engineering,” J. Eng. Educ., vol. 109, no. 2, pp. 243–261, Apr. 2020, doi: 10.1002/jee.20307.[14] A. F. McKenna, M. M. Hynes, A. M. Johnson, and A. R. Carberry, “The use of engineering design scenarios to assess student knowledge of global, societal, economic, and environmental contexts,” Eur. J. Eng. Educ., vol. 41, no. 4, pp. 411–425, Jul. 2016, doi: 10.1080/03043797.2015.1085836.[15] J. R. Grohs, G. R. Kirk, M. M. Soledad, and D. B. Knight, “Assessing systems thinking: A tool to measure complex reasoning through ill-structured problems,” Think. Ski. Creat., vol. 28, pp. 110–130, Jun. 2018, doi: 10.1016/j.tsc.2018.03.003.[16] J. Saldaña, The Coding Manual for Qualitative Researchers. SAGE, 2015.[17] S. Aubin and T. Hamon
fostersustainable changes in teaching practice include (a) modeling, (b) lesson plan development, (c)practice teaching, (d) coaching, and (e) building a community of practice. Modeling desirableinstructional practices provide teachers with examples of exemplary, authentic instruction [15].Modeling has shown utility in several areas of STEM education including engineeringinstruction, digital technology use and reform-based science instruction [16]-[19]. Lessonplanning allows teachers to revisit and apply what they learn in an active way; and integrate itinto their own instructional context[15][20]. PL can support teachers integrating new strategiesinto lessons that address standards-based concepts, and mitigate time-related concerns byallowing teachers to
improve the preparation of thestudents for doing future QC research.AcknowledgmentsWe wish to thank Peter Kutt, students Maggie Sullivan, Kevin Wang, Mike Murphy, and KyleGeary, and support from the Loyola Hauber Fellowship fund.References1. S. Laursen, A.-B. Hunter, E. Seymour, H. Thiry, and G. Melton, Undergraduate Research in the Sciences: Engaging Students in Real Science, San Francisco: Jossey-Bass, 2010.2. D. Lopatto, “Undergraduate Research as a High-Impact Student Experience,” Association of American Colleges and Universities, Spring 2010, vol. 12, no. 2.3. J. Parker, “Undergraduate research, learning gain and equity: the impact of final year research projects,” Higher Education Pedagogies, vol. 3, no. 1, pp.145-157, 2018.4. K
teachingabilities, even if the experience was not enjoyable for one of them; b) the middle-schoolers had 5fun and learned coding; and 3) there is a need to reach out to diverse groups and to the youngergeneration. In the focus group discussion, one student reflected that “I think as a whole, for us, todumb-down our research so they can understand a standard helps us to understand our material.Yes, it gave us a better understanding of our own project and the kids did have fun—that was agood purpose of the activity.” The dissatisfaction of the one student who disliked the activity isapparent in this exchange with notes from the program evaluator, “I was not a big fan of theoutreach activity. I do not like
students' overall experience of the mindfulness activities. During theseinterviews, students were given the opportunity to express their unbiased experience along withany benefits they gained and challenges they faced. The interviews were recorded andtranscribed using NVivo, a qualitative data analysis tool. SFG leaders then identified generalthemes/sub-themes in the transcripts. In their final report , the results were written only accordingto themes, with deidentified quotes to retain confidentiality.Measures of Mindfulness: The FMI survey was used to measure mindfulness and presence(attention to the present moment) in this study (see Appendix B for FMI survey questions)[4,25]. Readers are referred to [26] and [27] for comprehensive analysis and
. (2010). A national analysis of minorities in science andengineering faculties at research universities (2nded.). Unpublished policy report.[5] Reybold, L. E. (2003). Pathways to the professorate: The development of faculty identity ineducation. Innovative Higher Education, 27, 235-252.[6] Sklar, D. P. (2016). Moving from faculty development to faculty identity, growth, andempowerment. Academic Medicine, 91(12), 1585-1587.[7] Whittaker, J. A., Montgomery, B. L., & Acosta, V. G. M. (2015). Retention ofunderrepresented minority faculty: strategic initiatives for institutional value proposition basedon perspectives from a range of academic institutions. Journal of Undergraduate NeuroscienceEducation, 13(3), A136.[8] Lieff, S., Baker, L., Mori
. 72(1), pp. 187–206, 2001.[3] H. McNeill & D. Polly, “Exploring Primary Grades Teachers’ Perceptions of Their Students’Mathematics Self-Efficacy and How They Differentiate Instruction,” Early Childhood EducationJournal, vol. 51(1), pp. 79–88, 2023[4] S.O. Bada & S. Olusegun, “Constructivism learning theory: A paradigm for teaching andlearning,” Journal of Research & Method in Education, vol. 5(6), pp. 66-70, 2015.[5] H. Hedges, J. Cullen, & B. Jordan, “Early years curriculum: funds of knowledge as aconceptual framework for children’s interests,” Journal of Curriculum Studies, vol. 43(2), pp.185–205, 2011.[6] N. McCaughtry, M. Fahlman, J.J Martin, & B. Shen, “Influences of constructivist-orientednutrition education on urban
for [East Asian country].” - specific data process, who are willing to Participant from student were lacking be patient, who will give you team B feedback along the way. And that will bring along a lot of the social, cultural, institutional, public health stuff.” - Professional participant G Incorporat- Frequently “We were able to send [our Sometimes “We went through a whole ing used initial product
mimics the dynamics of a real system and its entities (e.g., people, products, raw materials that are processed, assembled, manufactured, stored, transferred, or transported depending on the simulated context). The simulation provides the context for technology-enhanced PBL. The simulation models in our proposed ISBL modules can be used on any standard 2D display or via a VR headset for a more immersive experience. (b) A PBL learning activity defined around the simulated system and inspired by real-world situations that learners may encounter in a professional setting or future workplace.Many of the pedagogical and psychological theories that support PBL also apply to ISBL or en-hanced as a result of integration
video viewer data and thein-class activity participation was tracked by class attendance. The paper reports that themodality of other courses that students were co-enrolled in at the time of taking the flippedclassroom affected student participation more than the modality of the flipped classroom itself.Both pre-class and in-class participation rates decreased as the percentage of in-person courses inthe department increased. In addition, a correlation was found between the percentage ofstudents who fully watched videos and the percentage of students who received B or highergrades. Lastly, recommendations are made to increase pre-class participation in an in-personflipped classroom.1. IntroductionIn 2020, students and educators went through an
, pp. 1–35, 2017, doi: 10.1145/3285029.[11] M. A. Peters, “Deep learning, education and the final stage of automation,” Educ. Philos. Theory, vol. 50, no. 6–7, pp. 549–553, 2017, doi: 10.1080/00131857.2017.1348928.[12] A. S. Lan, “Machine learning techniques for personalized learning,” Rice University, 2016.[13] B. Yousuf and O. Conlan, “Supporting student engagement through explorable visual narratives,” IEEE Trans. Learn. Technol., vol. 11, no. 3, pp. 307–320, 2017, doi: 10.1109/TLT.2017.2722416.[14] M. J. Grant and A. Booth, “A typology of reviews: An analysis of 14 review types and associated methodologies,” Health Info. Libr. J., vol. 26, no. 2, pp. 91–108, 2009, doi: 10.1111/j.1471-1842.2009.00848.x.[15
ofengineering intuition [14]. The sample of early-career engineers should be expanded to includerecent graduates of different institutions that are lacking in the suggestions addressed in thispaper. In addition, continuing work is currently underway to further understand to what extentone’s mindset affects the processing of experiences. This will further illuminate how mucheducators should be focusing on altering the experiences available or helping students see theirexperiences through a different perspective.AcknowledgementsThis work is supported by the National Science Foundation under Grant Nos. 1927149 and1927250.References[1] C. Aaron, E. Miskioğlu, K. M. Martin, B. Shannon, and A. Carberry, “Nurses, managers, and engineers – Oh my
“practicalscenarios.” Some students did report that they found the course demanding in terms of timecommitment, and the motion analysis topics challenging. Students also reported that after thecourse, they felt more comfortable in using the university’s 3DP resources for other courseprojects.Lessons Learned and Recommendations:Overall, the students performed very well in the course. Except for 3 students across the twoofferings, all students scored a “B” grade (75%) or higher, and around 15% of the studentsscored over 95%. Some important lessons learned from formal and informal student feedbackand experiences of the instructor are listed below, along with recommendations for coursedesign:Managing Student Workload:Given the nature of the course which covered
recycling, reusing, reducing, andrethinking, and it is defined as designing materials for durability, reuse, remanufacturing, andrecycling to keep products, components, and materials circulating in the economy [1].Deconstruction is one of the circular economy methods for faster recovery of building products,parts, materials, and components to minimize environmental impact and maximize economicvalue through reuse, recycling, repair, and remanufacture [2]. For proper deconstruction ofbuilding components, buildings need to be designed for disassembly. Some of the key principlesfor designing the building for disassembly include: (a) proper documentation of methods andmaterials used for construction such that it can be utilized during deconstruction; (b
F E C B AFigure 1: Geographical distribution of group project scenarios, demonstrating theimplementation of multiculturalism.Class sizes vary from 18 to 22 students, and with the variety of interests with which studentscome, groups have been successfully matched within the top two choices of all the students.With such small course sizes, there is not much room to factor in how best to support diversitywithin the small groups. Instructor conversations have been had about gender, racial, and ethnicdiversity within groups, but the result is grouping based on interest. With a maximum of twenty-two students in
, specifically in the context of a chemicalengineering unit operations lab in Germany and Denmark. Results showed the students seekingpersonal growth through living and working in a new context as a major factor. Languagelearning was not a significant motivation, which can be expected for short-term programs. Futurecareer opportunities was another often-cited factor, whether that is exploring working in adifferent country or taking the opportunity to participate in a co-op in their home country.Universities should utilize the power of personal recommendations and peer-to-peer advice whenit comes to promoting study abroad, and future research should further investigate how studentsweigh competing factors when deciding to study abroad.References[1] B. F
Concepts, and Core Ideas. Washington: The National Academies Press, 2012.[2] J. H. Flavell, “Metacognition and cognitive monitoring: A new area of cognitive– developmental inquiry.,” American Psychologist, vol. 34, no. 10, pp. 906–911, Oct. 1979.[3] I. Fiteriani, R. Diani, A. Hamidah, and C. Anwar, “Project-based learning through STEM approach: Is it effective to improve students’ creative problem-solving ability and metacognitive skills in physics learning?,” Journal of Physics: Conference Series, vol. 1796, no. 1, p. 012058, Jan. 2021.[4] B. Heigley, “Why is Hands-On Learning so Important?,” teachagohio.org. [Online]. Available: https://teachagohio.org/why-is-hands-on-learning-so-important/. [Accessed: 30
,” vol. 57, no. 8, pp. 829–835, 2015, doi: 10.1097/JOM.0000000000000493.[14] B. Ellison, “Injustice Anywhere: The Need to Decouple Disability and Productivity,” Harvard Law Bill of Health, 2022. https://blog.petrieflom.law.harvard.edu/2022/03/22/injustice-anywhere-the-need-to-decoupl e-disability-and-productivity/ (accessed Jan. 23, 2023).[15] L. Harvey, “Beyond member-checking: a dialogic approach to the research interview,” Int. J. Res. Method Educ., vol. 38, no. 1, pp. 23–38, 2015, doi: 10.1080/1743727X.2014.914487.[16] Center for Disease Control and Prevention, “PCOS (Polycystic Ovary Syndrome) and Diabetes,” Center for Disease Control and Prevention, 2020. https://www.cdc.gov/diabetes/basics/pcos.html#:~:text
, and nanotechnology. He is a licensed PE in the State of Colorado, a member of ASEE, and a senior member of IEEE and SME.Dr. Bahaa Ansaf, Colorado State University, Pueblo B. Ansaf received a B.S. degree in mechanical engineering /Aerospace and M.S. and Ph.D. degrees in me- chanical engineering from the University of Baghdad in 1996 and 1999, respectively. From 2001 to 2014, he has been an Assistant Professor and then Professor with the Mechatronics Engineering Department, Baghdad University. During 2008 he has been a Visiting Associate professor at Mechanical Engineering Department, MIT. During 2010 he has been a Visiting Associate Professor at the Electrical and Computer Engineering Department, Michigan State
thetimeframe of this study, the pass rate for CHEM 1103 was 85.1% and the fail rate was 14.9%.Note that the data shown in Figure 1 excludes grades recorded as No Credit (NC). During covid-impacted semesters, students were given the option to turn failing grades into NC on theirtranscript so that these courses would not impact their GPA calculations. There were 14 studentswho chose NC in fall 2020 (0.2% of total). A 33.1% B 26.7% Grade Distribution C 18.5% D 6.8% F
. Holds hand against a green line in the diagram and tilts their hand to show changing a parameter. C-D Communicates Justifies thinking about the parameters and relationships by using 2D diagram. reasoning using the 2D “You can see how B is going off in a direction that makes me think about diagram the x-, y-, and z-axes” Uses S-C Calculates Uses the symbolic representation to make sense of their answers and chooses to Calculations or values using calculator calculate a value. Symbolic “If this increased to, say 10, then I can see that this
. 49, no. 1, 2014. 9. C. Funk and M. H. Lopez. "A brief statistical portrait of US Hispanics." Pew Research Center, 2022. 10. R. Fry, B. Kennedy, C. Funk. "STEM jobs see uneven progress in increasing gender, racial and ethnic diversity.” Pew Research Center, 1-28, 2021. 11. R. Dou and H. Cian, “Constructing STEM identity: An expanded structural model for STEM identity research.,” Journal of Research in Science Teaching, vol. 59, no. 3, pp. 458–490, 2021. 12. P. R. Crane, A. E. Talley, and B. Piña-Watson, “This is what a scientist looks like: Increasing Hispanic/latina women’s identification with STEM using relatable role models.,” Journal of Latinx Psychology, vol. 10, no. 2, pp. 112–127, 2022. 13
Exact Test is used with twonominal variables to find out if the proportions from one variable are different among values ofthe other [Bind & Rubin, 2020]. Due to the test's exact nature, it is more accurate than a Chi-SquareTest alone.Figure 1. Items A, G, and M relate to aspirational capital. Items B, H, and N relate to linguistic capital.Items C, I, and O relate to familial capital. Items D, J, and P relate to social capital. Items E, K, and Qrelate to navigational capital. Items F, L, and R relate to resistance capital. Additionally, Items A, B, C,D, E, and F relate to having or holding a CCW capital dimension. Items G, H, I, J, K, and L relate to adeveloping CCW capital dimension. Items M, N, O, P, Q, and R relate to not having a CCW
andpublishing patterns.Journal articles and conference proceedings were originally planned as the formats to beexamined but as the research proceeded it was determined that a) there was sufficient material toexamine the patterns focusing only on the journals and b) that publishing in conference venueswas potentially different enough to warrant a separate study. Finally, as neither of the authorswas fluent enough in other languages to warrant including them, only articles published entirelyin English were included, i.e. an English abstract alone was insufficient for a study to beincluded. This filter was applied inconsistently by the database vendors so some of the originalnumbers include papers that were written in a language other than English but
. Overall, the results of thisscoping review indicate the need to generate a shared definition by the engineering communityand develop training to foster the uptake of practices to support student well-being.References[1] D. Evans, G. A. Borriello, and A. P. Field, “A Review of the Academic and Psychological Impact of the Transition to Secondary Education,” Frontiers in Psychology, vol. 9, 2018.[2] M. Bahnson, D. J. Satterfield, and A. Kirn, “Students’ Experiences of Unfairness in Graduate Engineering Education,” presented at the 2021 CoNECD, Jan. 2021. Accessed: Feb. 12, 2023. [Online]. Available: https://peer.asee.org/students-experiences-of- unfairness-in-graduate-engineering-education[3] B. A. Burt, K. L. Williams, and W. A
forthe early prediction of course-agnostic student performance," Comput. Educ., vol. 163, pp.104-108, 2021.[5] S. B. Dias, S. J. Hadjileontiadou, J. Diniz and L. J. Hadjileontiadis, "DeepLMS: a deeplearning predictive model for supporting online learning in the Covid-19 era," Scientific Reports,vol. 10, no. 1, p. 19888, 2020.[6] R. Umer, A. Mathrani, T. Susnjak and S. Lim, "Mining Activity Log Data to Predict Student'sOutcome in a Course," in Proceedings of the 2019 International Conference on Big Data andEducation, New York, NY, USA, 2019.[7] S. V. Goidsenhoven, D. Bogdanova, G. Deeva, S. v. Broucke, J. D. Weerdt and M. Snoeck,Predicting Student Success in a Blended Learning Environment, New York, NY, USA:Association for Computing Machinery
happens, the terms get less specific regarding the problem topic.Sticking with a smaller set of topics in Method 1 presents a more accurate set of keywords. Topic 0: ['bit', 'b.', 'assumed', 'compressed', 'bd', '4', 'ac'] Topic 1: ['assuming', 'answers', 'at least', 'a-c', 'chose', 'confusing', 'believe'] Topic 2: ['bars', 'called', 'angles', 'and', 'act', 'change', 'a.'] Topic 3: ['acting', 'coming', 'central', 'concluded', 'clear', '(', 'cd=tension'] Topic 4: ['compresses', 'balancing', 'center', 'clicking', '45deg', 'basically', 'because'] Topic 5: ['analyzing', '@', 'bc', 'causes', '100', 'cb', 'b-'] Topic 6: ['approach', '?', '0.667p', 'able', 'asking', 'cancel', "''"] Topic 7: ['cd