. Addressing this area requires greater faculty engagement to clarify gradingresponsibilities and expectations, given the variability across the department. Future plansinclude creating recorded models of effective student-TA interactions, expanding our case studiesto cover diverse teaching scenarios, and curating a library of engineering problems with feedbackthat emphasize metacognitive strategies. We will continue to gather data about the trainingprogram to assess its impact on TA confidence, teaching effectiveness, and student learningoutcomes. This ongoing evaluation will help refine the training by identifying areas forimprovement and ensuring alignment with both TA needs and departmental expectations.References[1] S. B. Philipp, T. R. Tretter
Engineering Department of the University of Utah. He received his B. S. and Ph. D. from the University of Utah and a M. S. from the University of California, San Diego. His teachinMason John ©American Society for Engineering Education, 2023 Development and use of an adaptable Arduino-based control system for bench-top process control experimentsAbstractStudents’ chemical engineering laboratory experiences are challenging to approximate flexibly,and at low-cost and small-scale. As a result of this challenge and the COVID-19 quarantines,many students were left without adequate experimental experience.In this paper we present the framework for an Arduino-based system that can be used in
evaluation as well aslessons learned from the scoring discussion. Additionally, we provide recommendations forincorporating an ‘instructor orientation’ prior to using rubrics to ensure effective use of the rubricacross multiple instructors.MethodsThe rubric underwent two rounds of validation. The first was in the 2022 spring semester and thesecond followed in the 2022 fall semester. For the spring rubric validation, six instructors gradedfour reports and used a rubric that consisted of 15 constructs ranging in value from 4 to 12 pointseach (Table 1) for a total of 100 points. Each construct on the rubric had five levels meant tocorrespond to “A”, “B”, “C”, “D” and “F” level work. The description of “A” level from therubric is listed in Table 1.In
is: Does using EML micromoment activities enhancestudent learning related to heat exchangers in two Chemical Engineering courses through the useof concept maps? A secondary research question examines whether introducing a physical deviceenhances students’ EM assessment through the development of concept maps.The specific goals of this study are: a) To incorporate EML micromoment activities in Process Control and Heat Transfer courses, b) to deliver and assess EML micromoment activities to students in Chemical Engineering at two separate institutions, c) to contrast the micromoment interventions with a "hands-on" experimental module and d) to provide recommendations for future technical EML micromoment implementations.3
project," Journal of Chemical Education, vol. 99, no. 6, pp. 2417-2424, 2022, doi: 10.1021/acs.jchemed.1c00817.[13] A. Giddens, The constitution of society: Outline of the theory of structuration. Berkeley, CA: University of California Press, 1984.[14] W. H. Sewell, Jr., "A theory of structure: Duality, agency, and transformation," AJS, vol. 98, no. 1, pp. 1-29, 1992, doi: 10.1086/229967.[15] M. Emirbayer and A. Mische, "What is agency?," AJS, vol. 103, no. 4, pp. 962-1023, 1998. [Online]. Available: https://www.jstor.org/stable/10.1086/231294.[16] V. Svihla, T. B. Peele-Eady, and A. Gallup, "Exploring agency in capstone design problem framing," Studies in Engineering Education, vol. 2, no. 2, pp. 96–119
approach described in [15] can restrict the sizes of the module in addition to the number of modules.This approach maximizes a different measure of modularity with constraints to set the number of mod-ules and the size of modules within a given size. This is cast as a binary quadratic optimization program.Additionally, we can use the framework to provide a definition of a modular curriculum. A curriculumwill be considered modular if: (a) the topics in a module form a cluster of dense dependency, (b) connec-tivity between modules is sparse, and (c) the modules are within a set resource use (credit hours). Thesetwo approaches enable evaluating the modularity of the curriculum by determining modules that couldbe used to guide course organization and
Engineering Research Lab.Dr. Niangoran Koissi, Morgan State University EDUCATION/TRAINING University of Turku (Finland) Ph.D. 03/2007 Bioorganic Chemistry Univer- sity of Maryland Baltimore County (USA) Post-doc 10/2007-08/2013 Chemistry/Toxicology B. Positions and Honors Positions and Employment 10/2007 aˆ C” 08Dr. Krishna Bista, Krishna Bista is an Associate Professor at Morgan State University, Maryland (USA).Neda Bazyar Shourabi, Pennsylvania State University, Berks CampusFrank EfeDr. Jumoke ’Kemi’ Ladeji-Osias, Morgan State University Dr. J. ’Kemi Ladeji-Osias is Professor in the School of Engineering at Morgan State University in Balti- more. She is a rotating Program Director in the Division of Engineering Education
junior laboratory, we switch our focus to process safety in the Senior yearlaboratory. The senior year laboratory is divided into two interdependent sections: (a) studentscomplete four pilot-plant-type laboratory experiments, and (b) they simultaneously develop aresearch project that is self-directed to promote PjBL.The first half of the senior year laboratory is focused on open-ended problems, and it isstructured using elements that gradually contribute to independent learning towards PjBL. Thisgradual approach is also applied to the safety experience. During this half, students completefour experiments, we follow a safety format that mimics the safety practices in the junior year:students create a written safety section for each report and
stronger agreement. In other words, ahigher score means students more strongly identify as engineers, feel like they belong andbelieve in masculine norms. All the questions for each instrument as well as the instructions forstudents are listed in Appendix A.The original Collective Self-Esteem instrument uses social groups. Here we adjusted thisinstrument to indicate chemical engineering as the social group. Appendix B shows the exactchanges that were made for this instrument. Note that this instrument has four subscales. Thefirst one is Membership and this this indicates if the subjects feel like they are a worthy or“good” member of the group. The second subscale is Private. This assesses the individual’sperception of the worthiness of the group
, "Contextualization in engineering education: A scoping literature review," Journal of Engineering Education, 2023. [Online]. https://doi.org/10.1002/jee.20570.[6] Reitz, S. “UConn Aims to Achieve Carbon Neutrality by 2030 and Become International Model of Sustainability.” UConn Today. 2022, December. [Online]. Available: https://today.uconn.edu/2022/12/uconn-aims-to-achieve-carbon-neutrality-by-2030-and- become-international-model-of-sustainability/[7] B. E. Seely. The other re‐engineering of engineering education, 1900–1965. Journal of Engineering Education. 1999 Jul;88(3):285-94.[8] F. E. Terman, “A Brief History of Electrical Engineering Education,” Proceedings of the Institute of Electrical and Electronic
1.00 Benzene Benzene Benzene Benzene (a) (b)Figure 3: These are two sets of plots from example III where a student can use a slider to adjustthe reflux ratio. In the left the reflux ratio such that the rectifying (red) and stripping (blue) profilesdo not cross each and therefore the separation is infeasible. In the right the two profiles cross eachother indicating that separation is
: 5Adham, T. K. I. (2023). Conflict Resolution in Team: Analyzing the of Conflicts and Best Skills for Resolution.Scholars Journal of Engineering and Technology, 11(08), 152-162.https://doi.org/10.36347/sjet.2023.v11i08.001Aranzabal, A., E.;, E., & M., A. (2022). Team formation on the basis of Belbin’s roles to enhance students’performance in project based learning. Education for Chemical Engineers, 38, 22-37.https://doi.org/https://doi.org/10.1016/j.ece.2021.09.001Aritzeta, A., Swailes, S., & Senior, B. (2007). Belbin’s Team Role Model: Development, Validity and Applicationsfor Team Building. Journal of Management Studies, 44(1), 96-118.Bayram, H. B., & Bütün, E. (2020). Role of teamwork
applications of relevant statistics concepts in chemical processes andhow these affect the actual experimental design to study that process.Some heuristics to promote knowledge integration have been proposed [27], and we will abide bysome of the patterns posed by learning scientists that establish their stages as: (a) eliciting ideas,the stage where students are asked to recall their prior experiences to enrich the learning context,(b) adding new ideas, through meaning-making mechanisms provided to students that enable theirability to make connections between what they know and what is newly presented to them; (c)distinguish ideas, helping them recognizing how the new ideas relate to existing ideas, andidentifying any potential conflicts; and (d
Paper ID #42233Introducing Students To Chemical Engineering Through Educational ComicsNethra Iyer, Northeastern UniversityDr. Luke Landherr, Northeastern University Dr. Luke Landherr is a teaching professor in the Department of Chemical Engineering at Northeastern University, conducting research in comics and engineering education. ©American Society for Engineering Education, 2024Introducing Students To Chemical Engineering Through Educational ComicsAbstractThere is a stigma surrounding chemical engineering that the field and major are difficult andcomplex. While this can be true as evidenced by nuanced topics
, on the opposite side as the safety tie. This line marked the lap joint area forbioadhesive testing (Figure 1A). Students applied a constant volume of either of the bioadhesivesto the lap joint area, then adhered two chamois together at the lap joint. To vary the drying time,students briefly applied heat using a hairdryer, then let samples dry at room temperature for up to30 min.Figure 1. Representative bioadhesive testing procedure and student data demonstratingsuccessful adhesion of chamois leather strips and lap-shear mechanical testing. (A) Leatherchamois strips with plastic safety ties. (B) Example of lap-shear mechanical testing procedureusing a luggage scale to measure force. (C) Graph of average force to failure for
, https://www.che.utah.edu/teaching_module/spectrophotometer/#summary, Chemical Engineering Department at The University of Utah, n.d.[7] B. C. M. Henrique, L. C. M. Henrique, and H. M Henrique, “Arduino Based Platform for Process Control Learning,” The Journal of Engineering and Exact Sciences, Vol. 6 (5), 2020.[8] P. M. Oliveira and J. D. Hedengren, “An APMonitor Temperature Lab PID Control Experiment for Undergraduate Students,” 2019 24th IEEE International Conference on ETFA, pp. 790-797, 2019.[9] J. Park, R. A. Martin, J. D. Kelly and J. D. Hedengren, “Benchmark temperature microcontroller for process dynamics and control,” Computers and Chemical Engineering, Vol. 135, pp. 1-13, 2020.[10] J. A
instruction due toCOVID-19. Thus, cluster analysis clearly captures disruptions in student behaviors that may belost when examining only average or aggregated reading participation when using the interactivetextbook. 7Figure 2. Clustering results for Chapter 5 of the MEB zyBook for the 2020 cohort. A: Clustercentroids for the three clusters of students: longer view times (green), shorter (blue), andirregular (red). The title shows the number of students in each of the three clusters. B-D: Eachpane shows the standardized view times for all students in a cluster along with the number ofstudents in the cluster. The darker line denotes the cluster centroid. Numbers above panelsindicate numbers of students
determine the possible integrations and how they can fit into a chemicalengineering student’s education.References[1] I. A. Udugama, C. Bayer, S. Baroutian, K. V. Gernaey, W. Yu, and B. R. Young, “Digitalisation in chemical engineering: Industrial needs, academic best practice, and curriculum limitations,” Educ. Chem. Eng., vol. 39, pp. 94–107, Apr. 2022, doi: 10.1016/j.ece.2022.03.003.[2] R. Gani et al., “A multi-layered view of chemical and biochemical engineering,” Chem. Eng. Res. Des., vol. 155, pp. A133–A145, Mar. 2020, doi: 10.1016/j.cherd.2020.01.008.[3] T. S. Lim, Z. L. Chia, S. Y. Seah, and S. Y. Wong, “XANDAR PHARMACEUTICAL: A model plant for process engineering education,” Educ. Chem. Eng., vol. 40, pp. 56–68, Jul. 2022
, even within a singlemajor course of study.The participants’ demographics were obtained from the survey and interview responses. Theparticipant group included two female students and three male students; self-reported ethnicityincluded White/Middle Eastern (Laura), Asian/White (David), and White (Mark, Matt, andElise); all had a GPA above 3.01 (B+ or higher); and only one (Elise) reported having a job offerby the point of the interview.We found that students’ self-assessment of preparedness was often overestimated and a few keycharacteristics separate levels of preparedness, however for this study we do not have data tocompare students with significantly different GPAs and have held the major to ChemicalEngineering in an effort to limit
opportunities that are being offered to students. We alsoidentified gaps in communication and professional development areas of the curriculum whichcould better match what employers and alumni identified as key skills required to perform jobduties. We suggest a more formal peer and committee-based mentorship which could focus onimproving skills as one potential solutions, or development of special courses designed to teachwriting or communication skills.References1. Altarawneh, M.; Dlugogorski, B. Z., Introducing Quantum Chemistry in ChemicalEngineering Curriculum. Journal of Chemical Education 2018, 95 (9), 1562-1571.2. Fogler, H. S.; Hirshfield, L. J., Process Safety Across the Chemical EngineeringCurriculum. ACS Chemical Health &
. Chem. Educ., vol. 99, no. 1, pp. 283–290, Jan. 2022,doi: 10.1021/acs.jchemed.1c00412.[3] A. Hajat, C. Hsia, and M. S. O’Neill, “Socioeconomic Disparities and Air PollutionExposure: a Global Review,” Curr Envir Health Rpt, vol. 2, no. 4, pp. 440–450, Dec. 2015, doi:10.1007/s40572-015-0069-5.[4] L. Schweitzer and A. Valenzuela, “Environmental Injustice and Transportation: TheClaims and the Evidence,” Journal of Planning Literature, vol. 18, no. 4, pp. 383–398, May2004, doi: 10.1177/0885412204262958.[5] United States Census Bureau, “Census Bureau Data.” https://data.census.gov/ (accessedFeb. 26, 2023).[6] L. P. Clark, D. B. Millet, and J. D. Marshall, “National Patterns in EnvironmentalInjustice and Inequality: Outdoor NO2 Air
5.0,” J Ind Inf Integr, vol. 25, Jan. 2022, doi: 10.1016/j.jii.2021.100311.[6] S. Chakraborty, Y. Gonzalez-Triana, J. Mendoza, and D. Galatro, “Insights on mapping Industry 4.0 and Education 4.0,” Front Educ (Lausanne), vol. 8, 2023, doi: 10.3389/feduc.2023.1150190.[7] S. Huang, B. Wang, X. Li, P. Zheng, D. Mourtzis, and L. Wang, “Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution,” J Manuf Syst, vol. 64, pp. 424–428, Jul. 2022, doi: 10.1016/j.jmsy.2022.07.010.[8] D. Galatro, Y.-H. Chin, and B. Saville, “STRATEGIES FOR CHEMICAL PROCESS DESIGN: A SUSTAINABILITY-BASED APPROACH,” in 2024 ASEE St. Lawrence Section Annual Conference Proceedings, ASEE Conferences. doi: 10.18260/1-2
processes and advanced materials (cokes, carbon fibers) from oil residues, and became a business leader for specialty products (lube oils, asphalts, waxes, cokes) at Petroleos de Venezuela, PDVSA (1983-1998). He is a founding member of Universidad Monteavila (Caracas, Venezuela) (1998—2018) and became the Chancellor of this university (2005-2015), and the President of the Center for Higher Studies (2015-2018), including teaching in the Humanities. After rejoining the University of Pittsburgh, he has been teaching Pillar courses on Reactive Process Engineering, Process Control, Process Control Lab, and Process Design. In addition to technical courses, his service extends over curriculum development, outreach programs
group and project-based activities at university," in "Research project into the international student experience in the UK (2018-19)," UK Council for International Student Affairs (UKCISA), 2020. Accessed: April 2023. [Online]. Available: https://ukcisa.org.uk/Research--Policy/Resource-bank/resources/197/International- students-working-in-group-and-project-based-activities-at-university[9] M. B. Marks and A. H. O’Connor, "Understanding Students’ Attitudes About Group Work: What Does This Suggest for Instructors of Business?," Journal of Education for Business, vol. 88, no. 3, pp. 147-158, 2013, doi: 10.1080/08832323.2012.664579.[10] V. Rousseau, C. Aubé, and A. Savoie, "Teamwork Behaviors: A
theNational Science Foundation. References[1] A. Johri, W.-M. Roth, and B. M. Olds, “The role of representations in engineering practices: Taking a turn towards inscriptions,” J. Eng. Educ., vol. 102, no. 1, pp. 2–19, 2013, doi: 10.1002/jee.20005.[2] R. Kozma, “The material features of multiple representations and their cognitive and social affordances for science understanding,” Learn. Instr., vol. 13, pp. 205–226, 2003, doi: 10.1016/S0959-4752(02)00021-X.[3] R. Kozma, E. Chin, J. Russell, and N. Marx, “The roles of representations and tools in the chemistry laboratory and their implications for chemistry learning,” J. Learn. Sci., vol. 9, no. 2, pp. 105–143, 2000, doi: 10.1207
applying the procedures depicted in Figure 2 and utilizing an injection molding machine. Table 1. Optimal injection molding processing conditions for selected polymer samples. Material Barrel Mold Injected Trialsd a Temperature (°C) Temperature b c 3 Amount (cm ) Completed (°C) Polypropylene 145 75 6.19 39 Copolymer High-Density 172 70 6.33 19 Polyethylene Polypropylene 180
model to synthetizecontrollers using various model-based tuning methods (IMC, AMIGO, ITAE, Z-N, and Relayauto-tuning) [3]. Students analyze performance curves (Figure 6) and select the best tuningparameters. In addition, they elaborate on the matching of model and experimental performance. Figure 6. Example of controller synthesis by on-line adjustment in the large tank temperature control experiment, with disturbance in place (EMV=50% openness of a secondary drain), atarget set-point of 60 ℃ from an initial condition of 55 ℃, a gain value of Kc=5, and an integral time (𝜏𝑖 ) of 10 seconds for a PI controller. Plot displays the rising time (tr) the time for the first peak (tp), values for the calculation for the overshoot (a, b), period
,” ncses.nsf.gov. https://ncses.nsf.gov/pubs/nsf23311[4] “Profiles of Engineering and Engineering Technology”. American Society for Engineering Education. 2021.[5] D. Septialti, Z. Shaluhiyah, and B. Widjanarko, “The Effectiveness of Using Comics in Efforts to Increase Adolescent Health Knowledge: A Literature Review,” Jurnal Aisyah : Jurnal Ilmu Kesehatan, vol. 7, no. S1, Jul. 2022, doi: https://doi.org/10.30604/jika.v7is1.1134.[6] D. Dewantara, “The influence of educational comics on the concept of static electricity toward student’s learning outcomes and communication skills,” THABIEA : JOURNAL OF NATURAL SCIENCE TEACHING, vol. 3, no. 1, p. 20, Jun. 2020, doi: https://doi.org/10.21043/thabiea.v3i1.6894.[7
education research? Educational Researcher, 41(1), 16-25.31. Cobb, P., Confrey, J., DiSessa, A., Lehrer, R., & Schauble, L. (2003). Design experiments in educational research. Educational researcher, 32(1), 9-13.32. Shavelson, R. J., Phillips, D. C., Towne, L., & Feuer, M. J. (2003). On the science of education design studies. Educational researcher, 32(1), 25-28.33. Bannan-Ritland, B., & Baek, J. Y. (2008). Investigating the act of design in design research: The road taken. Handbook of design research methods in education: Innovations in science, technology, engineering, and mathematics learning and teaching, 299-319.34. Godwin, A. (2016). The development of a measure of engineering identity. In ASEE Annual Conference
critiquedand discussed to draw out choices that have guided the practice of the GTA [13]. Other forms ofmentoring exist and work well, but the ones mentioned here might be better placed in facilitating thedecision-making capability we wish to see in our GTAs. As an end note, we would reiterate that thiswork is incomplete, but by exploring decisional capital in this way and the mechanisms available to usthat would enhance the decisional capital of our GTAs (evaluation and mentoring), we start toconstruct a more helpful and intricate model of how best to engage our GTAs in developing theirdecisional capital going forward.References[1] Higgs, B., Cronin, J., McCarthy, M. and McKeon, J. (2011), “In-at-the-deep-end: graduate teaching assistants as