0 0 200 400 600 800 1000 Q [mL/min] Figure 4. Pressure drop data from increasing and decreasing flow rates in a bed filled with particles and theoretical pressure drop values from increasing the flow rate.As the pump reaches its maximum power at approximately 800 mL/min, some, but not all, of theparticles are repacked at the top of the column. As shown by the exponential trend reflected asthe red line in the last third of the plot, this repacking of some of the particles results in a higherpressure drop compared to the pressure drop in the packed bed. The
able to survive in the program. We incorporated the intervention strategies in the regular course environment as part of theweekly group work participation, homework, midterm exams, and group research presentation.During the first week of the semester, we introduced the concept of growth mindset to thestudents. The students watched a talk by Dr. Carol Dweck, the psychologist who proposed themindset theory, and Khan Academy’s video on growing one’s intelligence through struggleduring the weekly group work. We encouraged the students to reflect on their own ideas aboutintelligence and the importance of having a growth mindset while studying chemicalengineering. The students then shared their thoughts with their peers. In Table 2, we
Applied Science at Northwestern University and the Associate Director of the Northwestern Center for Engineering Education Research. Dr. Cole’s primary teaching is in capstone and freshman design, and her research interest are in engineering design education.Dr. Kevin D. Dahm, Rowan University Kevin Dahm is a Professor of Chemical Engineering at Rowan University. He earned his BS from Worces- ter Polytechnic Institute (92) and his PhD from Massachusetts Institute of Technology (98). He has pub- lished two books, ”Fundamentals of Chemical Engineering Thermodynamics” with Donald Visco, and ”Interpreting Diffuse Reflectance and Transmittance” with father Donald Dahm.Dr. Bruce K. Vaughen, American Institute of Chemical
. Specifically, havingthe flexibility to procrastinate on completing work for their portfolio led some to wait until later in thesemester to build their portfolio, thus driving them to somewhat ‘cram’ their learning in as they would havehad to before an exam, and leading to less of a long-term connection with the concepts themselves.The overall reported positive student experience with the ungrading approach was demonstrated throughtheir feedback, with many students reflecting on how the approach to assessment allowed them to betterfocus on the course content as well as experience lower levels of stress during the semester: - “I feel like I really learned in this course because I was challenging myself with solving the problems because I
3.8 to 4.6 over the semester, showing that the average student came in with someinterest in the topic. Figure 8 also shows that the experiment was successful in teaching generalknowledge about climate change and carbon removal technology. The reported level ofknowledge increased from an average rating of 3.4 to 4.3. According to the survey data, an IBLexperiment in laboratory was successful in educating students on skills and also increasedinterest and knowledge of the contextual problem.Figure 8: Student reflections on their level of knowledge and interest in climate change andcarbon removal before and after experiment, measured on 5-point Likert scale (1= Veryunfamiliar, 3=Somewhat familiar, 5=Very familiar), and plotted on a scale from 3
using principal axis factoring as ourextraction method to account for a non-normal distribution of data [28], as is expected withsurvey data. We chose an oblique rotation method (promax), as this is appropriate in educationaland social science surveys in which some correlation between factors is both anticipated anduseful [29, 30]. The Kaiser-Meyer-Olkin (KMO) [31] measure of sampling adequacy was 0.78,which met the recommendation of ≥ .70 [32] and Bartlett's test of sphericity was significant, p .40 or < -.40); this loading indicates which questions group together as a latentfactor. These factors are retained if they have a Cronbach’s alpha ≥ .70; the factors can then benamed by researchers to reflect the latent construct measured. The
, higher education is part of a broader inequitable system. If inequities that occur beforecollege divert students from pursuing STEM degrees, changes to university programs will havelittle impact.The current work is a quantitative study focused on studying the systemic factors that impact therepresentation of women among chemical engineering graduates. We note that the granularity ofour analysis is limited by the use of institutional data. For example, we have ACT scores as acrude proxy for opportunity gaps in high school (the hypothesis being that opportunity gapswould be reflected in this metric).Following the framework of Costello et al. (2023), wehypothesize that the lack of representation of women in chemical engineering could be due to (1
community and whatneeds are and are not met in the current journal format and offerings. In this paper, we presentthe results from focus groups collected from the community at the 2022 American Society forEngineering Education (ASEE) Annual Conference & Exposition and the 2022 ASEE/AmericanInstitute for Chemical Engineers (AIChE) Summer School. The Summer School is a week-longprofessional development opportunity with the goal of providing practical tools to get facultyrapidly and securely on track for a successful career in academia.We paid particular attention to qualitative data that reflected participants’ values, attitudes, andbeliefs and represented their perspective or worldview on chemical engineering education. Wefollow Saldaña’s [7
integrated a variety of homework, projects, and quizzes into the curriculumacross the sophomore, junior and senior years, which allows students to consider the impact oftheir design, or engineering solutions in a global, economic, environmental, and social context.Their assignments begin as homework and quizzes with reflections so that they can consider theimpact of the solutions. By the senior year, the projects are more complex and there are typicallymany contexts which warrant consideration and analysis.References[1] J.J. McCarty and R.S. Parker. “The pillars of chemical engineering: A block scheduledcurriculum.” Chemical Engineering Education, 38(4):291-301, 2004.[2] J.J. McCarthy, R.S. Parker, and M. Besterfield-Sacre. “The pillars of CHE: An
inmedians with all but question Q7, the survey results still indicate some important takeaways.Bench-top Arduino experiments appear to improve perceived gains in areas relating to individualcontrol loop elements, PID tuning for good control, troubleshooting, and confidence to applycontrol in the real world. Pilot-scale experiments appear to improve perceived gains inunderstanding of process nonlinearities, curiosity about control topics, and persistence inunderstanding. Taken together, exposure to both types of experiments appears to provide awell-rounded complimentary experience with control application and enhancement of controltheory learning.Instructor ReflectionAlthough purely anecdotal, some reflection by the instructor of the courses
, doi: https://doi.org/10.18260/p.27205.[9] A. Edgcomb and F. Vahid, "How Many Points Should Be Awarded for Interactive Textbook Reading Assignments?," in 45th Annual Frontiers in Education Conference (FIE), El Paso, TX, 2015, pp. 1-4, doi: https://doi.org/10.1109/FIE.2015.7344350.[10] C. M. Burchfield and T. Sappington, "Compliance with required reading assignments," (in English), Teaching of Psychology, vol. 27, no. 1, pp. 58-60, Win 2000, doi: https://psycnet.apa.org/record/2000-07173-017.[11] R. Wang and A. K. Ribera, "Moving students to read - Unpacking the relationship with reflective and integrative learning," in American Educational Research Association Annual Meeting, Washington, DC, 2016, doi: https