Paper ID #37007Experiments for a Computing ClassDr. Christi L. Patton Luks, Missouri University of Science and Technology Dr. Patton earned a B.S. in Chemical Engineering from Texas A&M University, an M.S. in Applied Mathematics from The University of Tulsa, and a Ph.D. in Chemical Engineering from The University of Tulsa. She is currently Teaching Professor of Chemical Engineering at Missouri University of Science & Technology and serves as PIC 1 chair until June 2022. ©American Society for Engineering Education, 2023 Experiments for a Computing ClassAbstractThe
materials, inconsistent use across classes, and faculty preferencesregarding various software [5]. When properly implemented with adequate support,computational techniques can improve student performance and motivation in their chemicalengineering studies [6] as well as prompt students to transfer such skills to other courses [7].The present project seeks to develop, implement, and assess a computational support program forundergraduate chemical engineering students to better align course resources with courseobjectives. This program introduces a computational TA (CTA) to the department to serve tworoles: provide one-on-one support for undergraduate students learning to use software forengineering applications, and to collaborate with teaching
cooperative flipped learning: their effects on students' performance, social, and computer anxiety," Interactive Learning Environments, vol. 27, no. 4, pp. 432-442, 2019.
Paper ID #41284Prioritizing Learning Outcomes for Chemical Engineering Laboratory Courses:Student PerspectivesDr. Chris Barr, University of Michigan Dr. Christopher Barr is the Instructional Laboratory Supervisor in the Chemical Engineering Department at University of Michigan. He obtained his Ph.D. at University of Toledo in 2013 and is a former Fellow in the N.S.F. GK-12 grant ”Graduate Teaching Fellows in STEM High School Education: An Environmental Science Learning Community at the Land-Lake Ecosystem Interface”. His main responsibilities are supervising and implementing improvements to the undergraduate labs. He also
Notebook1. IntroductionKinetics and Reactor Design is one of the core courses in chemical engineering undergraduateeducation. This course is offered in the junior or senior year. The reaction engineering course hastechnical prerequisite courses. Moreover, the course is considered one of the first courses inwhich students learn core chemical engineering knowledge that requires formulating amathematical model, solving it numerically using a computer software, analyzing the results, andfinally being able to make an engineering judgment.Till today, most engineering knowledge in classrooms (e.g. reactor design course) iscommunicated via textbooks and scientific articles using hardcopies, or softcopies as PDF files.When students are dealing with
] if they work with other juniors and provide them feedback. They can also leavefeedback to the instructors about their experience with the project idea.The learning objectives that the project targets are as follows: ● Develop and solve fundamental or empirical models for dynamical systems ● Understand the fundamentals of control strategies and their implementation ● Use computer-based tools for dynamic model simulation and implementation and comparison of control schemesIn addition, this novel idea also satisfies the following ABET-related student outcomes: ● An ability to identify, formulate and solve complex problems, including the use of modern tools to solve them ● Oral communication ● Ability to work in
interests are community-based learning, open-ended laboratory experi- ments, teamwork, collaborative and active learning, and Transport Phenomena computational modeling.Kelly Bohrer, University of Dayton Kelly Bohrer is the Executive Director of the ETHOS Center, a community engagement center connecting students, faculty, and staff with NGOˆa C™s around the world for technical projects as part of immersions, teaching, and scholarly activity. She also is thDr. Matthew Dewitt, University of Dayton Matthew DeWitt is a Distinguished Research Engineer at the University of Dayton Research Institute. He received his B.S. in chemical engineering from The Ohio State University and his Ph.D. in chemical engineering from
Paper ID #42544Enhancing Entrepreneurial Minded Learning of Process Control and HeatTransfer Concepts Using Micromoments and Concept MapsProf. Erick S. Vasquez-Guardado , University of Dayton Erick S. Vasquez-Guardado is an Associate Professor in the Department of Chemical and Materials Engineering at the University of Dayton. Dr. Vasquez earned his B.Sc. degree in chemical engineering (ChE) at Universidad Centroamericana Jose Simeon Canas (UCA) in El Salvador, an M.S. in ChE at Clemson University, and a Ph.D. in ChE at Mississippi State University.Prof. Ricardo G´omez Gonz´alez, Universidad Autonoma de Nuevo Leon
Paper ID #38403Work in Progress: Using Experiment-centric Learning Pedagogy to IncreaseStudent Understanding of Chemical Principles and ConceptsTemileye Omopariola IbirindeAdebayo Iyanuoluwa Olude, Morgan State UniversityMr. Pelumi Olaitan Abiodun, Morgan State University Pelumi Abiodun is a current doctoral student and research assistant at the Department of Civil Engineer- ing, Morgan State University, Baltimore, Maryland. Pelumi got his BSc and MSc degree in Physics from Obafemi Awolowo University, where he also served as a research assistant at the Environmental Pollu- tion Research unit, in Ile-Ife, Nigeria. As part of
who areworking diligently yet continue to struggle with performing on course assessments. Could it bepossible that students are experiencing resource overload? With so many choices of resources,could they be choosing poorly and still be struggling as a result? Could having a way to helpthem identify which course resources are most effective for them to employ when they arestudying outside of class help them focus their study time more efficiently?Learning styles have been shown to help students make the most of group interactions inengineering and computer science courses [12]. Student self-awareness of their learning styleshas also been used to help students realize their study strengths and ways to improve their studyprocess [17]. The
from strengthening their problem-solving skills, exposing engineeringstudents to such coding experience confers attributes of systems thinking, creativity and deeperunderstanding of processes on students [10]. Additionally, such exposure enhances researchcapabilities of graduate students as it offers the opportunity to experiment new ideas.Pedagogically, computer program scripts written for teaching and learning purposes could bedeployed as tools to engage learners in simulation-based reflection on their performance in manualcomputations [11]. The teaching and learning of reservoir simulation, as a petroleum engineeringcourse module, stands to benefit a lot from this workflow coding approach. The reservoirsimulation body of knowledge is
learning outcome of such a system is to complement the hands-on operational skills tofamiliarize students with the operation procedures and safety and chemical engineering conceptsassociated with the equipment/project scopes. The learning system is based on Bloom'sTaxonomy, which begins with: (1) Repetitive practice to remember/familiarize oneself with the operation equipment. (2) the next learning step continues in the immersive lab environment to visually construct 3D memory and experience through their phone/computer/VR headset. The system is interactive and provides feedback in real-time. For example, in Figure 2b, the 3D interactive games can be played using a normal computer or mobile devices (i.e. iPad) and the
. ©American Society for Engineering Education, 2023 Numerical Problem Solving across the Curriculum with Python and MATLAB Using Interactive Coding Templates: A Workshop for Chemical Engineering FacultyAbstractWith the fourth industrial revolution well underway, the proportion of occupations requiring“high” or “medium” digital skills has never been greater. Among those most in demand areengineers skilled in computing and advanced problem solving to support the ongoingdigitalization, networking, and automation. A numerical analysis course in the coreundergraduate engineering curriculum is a natural place for students to learn numerical methodsfor advanced problem solving across engineering applications. The use of
taught. Table 2. Worksheet learning objectives for fluidized bed LCDLM. Student Learning Objectives Students should be able to: 1. explain why a packed bed becomes fluidized; 2. explain the different contributions to pressure drop in the packed bed; 3. explain the meaning of the minimum fluidization velocity; and 4. compute the pressure drops (ΔPs) across the bed. Figure 5. Sample worksheet for fluidized bed LCDLMWe will also prepare a motivational survey to assess the quality of cognitive engagement whichrefers to measure how much attention and commitment a student has toward learning [11]. Themotivational instrument was adapted from a psychometrically
] S. Khoiriyah and N. Suprapto, “Effectiveness of Comics to Train Students’ Critical Thinking Skills in Physics Learning: A Mini-Review,” Studies in Learning and Teaching, vol. 2, no. 1, pp. 5–15, Jan. 2021, doi: https://doi.org/10.46627/silet.vi.49. 10[8] Wang, Zezhong, et al. “Comparing Effectiveness and Engagement of Data Comics and Infographics.” Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2 May 2019, https://doi.org/10.1145/3290605.3300483.[9] “Comparing Effectiveness and Engagement of Data Comics and Infographics.” Proceedings of the 2019 CHI Conference on Human Factors in
issue, werestructured some problem statements in the Mass and Energy Balances course. To isolateconceptual understanding from mathematical ability, we dedicated questions on exams where thestudents were asked to qualitatively analyze relationships between different variables. Wedeveloped active-learning computational demonstrations that students could explore in a self-paced manner by manipulating variables and observing the effects on other variables, working ingroups and guided by a teaching assistant (TA) and a problem set during recitation [2, 3].Assessment of conceptual understandingIn the Mass and Energy Balances course during Fall semesters, we divided the semester into fourunits: Mass Balances, Reactors, Separators, and Energy Balances
clickanalytics is that the time reflecting on the final step of the animation is unknown. While studentsin the 2016 cohort could only watch animations at one speed, subsequent cohorts had access to a2x speed feature, which speeds up the actions of each animation step. View times greater than180 s were removed as outliers that were not relevant for further analysis, as these likely indicatethat a student switched to another task and then came back later to complete the animation. 4Animation usage data analysis was done using Python and several Python libraries, includingPandas [25] and Scikit-learn [26]. Animation view times were computed as part of a previousanalysis, which found that they depend roughly
not-knowing in reasoning about a novel problem,” Chemistry Education Research and Practice, vol. 24, no. 3, pp. 956– 970, 2023, doi: 10.1039/D3RP00018D.[31] D. A. Kolb, Experiential Learning: Experience as the Source of Learning and Development. New Jersey: Englewood Cliffs: Prentice-Hall, 1984.[32] A. Kolb and D. Kolb, “Eight important things to know about the experiential learning cycle,” Australian Educational Leader, vol. 40, no. 3, pp. 8–14, Aug. 2020, doi: 10.3316/informit.192540196827567.[33] A. Konak, T. K. Clark, and M. Nasereddin, “Using Kolb’s Experiential Learning Cycle to improve student learning in virtual computer laboratories,” Computers & Education, vol. 72, pp. 11–22, Mar. 2014, doi: 10.1016
Paper ID #38442Hands-on Experience in Solving Real-World Problems via a UniqueStudent-Faculty-Industry Collaboration ProgramMiss Swapana Subbarao Jerpoth, Rowan University Swapana S. Jerpoth received her B.Tech degree in Chemical Engineering, and her M.Tech degree in Petro- chemical Engineering from R.T.M. Nagpur University, India . Currently she is in the 4th year of Ph.D. program at the department of Chemical Engineering, Rowan University, Glassboro, NJ. Her expertise includes process design, mathematical modeling, process control, process optimization, data analytics, higher-performance computing, and assessment of
., Springer, 2023, pp. 591–609. doi: 10.1007/978-3-031- 19964-6_31.[11] R. N. Landers, “Developing a Theory of Gamified Learning,” Simulation & Gaming, vol. 45, no. 6, pp. 752–768, Dec. 2014, doi: 10.1177/1046878114563660.[12] D. R. Sanchez, M. Langer, and R. Kaur, “Gamification in the classroom: Examining the impact of gamified quizzes on student learning,” Computers & Education, vol. 144, p. 103666, Jan. 2020, doi: 10.1016/j.compedu.2019.103666.[13] R. Huang et al., “The impact of gamification in educational settings on student learning outcomes: a meta-analysis,” Educational Technology Research and Development, vol. 68, no. 4, pp. 1875– 1901, Aug. 2020, doi: 10.1007/s11423-020-09807-z.[14] J. Y
. Epple, “A hands-on laboratory on industrial hardware, process control and advanced automation,” in IFAC Proceedings Volumes (IFAC-PapersOnline), 2012, vol. 9, no. PART 1, pp. 372–377. doi: 10.3182/20120619-3-RU-2024.00003.[3] A. Mahmoud and Z. K. Nagy, “Applying Kolb’s Experiential Learning Cycle for Laboratory Education,” Journal of Engineering Education, vol. 98, no. 3, pp. 283–294, 2009, doi: 10.1002/j.2168-9830.2009.tb01025.x.[4] M. A. Vigeant, D. Silverstein, K. Dahm, L. Ford, L. Cole, and L. Landherr, “How We teach: Unit Operations Laboratory,” in ASEE Annual Conference & Exposition, 2018.[5] K. E. K. Nottis, M. A. Vigeant, M. Prince, A. F. Golightly, and C. M. Gadoury, “Computer
ineffective in promoting high-level skilldevelopment and self-learning in engineering problem-solving [5-7]. Instead, design thinking,integrated or inductive-learning models, and abductive-thinking, which introduce fundamentalprinciples in the context of solving a given engineering problem, are being used as newparadigms in engineering education [8-13]. These models provide learners with an environmentfor problem-solving while offering feedback and guidance. There are also many active learningstrategies like cooperative learning, problem-based learning, hands-on learning, and computersimulation that have been shown to improve student learning and engagement [14-19]. However,many chemical engineering faculty members are not trained in these
DueThe introduction should include the following aspects: • Preferred first and last name • Pronouns • A photo (or video). This should either be a headshot or a selfie taken recently. • Year in school. E.g., third year, fourth year, etc. • Laboratory research advisor’s name and general research area (bio, computing, materials, etc.) • A short statement explaining motivations for taking this course. • Three to five aspects representing the student’s identity (e.g., personal life, family, career interests, hobbies, background, etc.). These aspects can be presented in written, spoken, and visual form.Submissions are posted via a discussion board in the learning management system. Theinstructor also
. If analytical, find the analytical solution (often from another class).3. If numerical, write a well-structured computer program that solves the problem.4. Recognize the role of base knowledge onto more complicated numerical analysis.5. Relate methods learned in this course to other problems outside of traditional chemicalengineering.6. Communicate numerical solutions back into physical or social terms. The course is designed to teach undergraduates math, numerical methods, MATLAB as acoding language, and analytical and numerical techniques applied to chemical engineering andother engineering disciplines. The materials taught in the class range from basic mathematicalconcepts such as matrices, to advanced materials
devices, includingcharacteristics, location, and signal processing [1], [4]. It has been proved that lab exercisesimprove student learning, both as inductive experiences before classroom lectures, and asapplication experiences to aid in the understanding of more difficult theoretical concepts [5].Several initiatives have been reported [5], ranging from including some experiments (there aremany kits commercially available) during the lectures to adding a 1 semester-hour lab course.The lab experiences, with the identification, operation and functional analysis of sensors, controlvalves, variable speed pumps, PID controllers, computer operations, can also support alternativeproposals for updating chemical engineering education more focused on plant
. Narayan and P. Petesch Eds. Washington, DC: The World Bank, 2007, pp. 1-44.[16] M. Wilson-Fetrow, E. Chi, J. Brown, S. G. Wettstein, and V. Svihla, "Consequential agency in chemical engineering laboratory courses," Proceedings of the American Society for Engineering Education Annual Conference & Exposition, pp. 1-16, 2022. [Online]. Available: https://peer.asee.org/40712.[17] J. Strobel, J. Wang, N. R. Weber, and M. Dyehouse, "The role of authenticity in design- based learning environments: The case of engineering education," Computers & Education, vol. 64, pp. 143-152, 2013, doi: 10.1016/j.compedu.2012.11.026.[18] O. Hagvall Svensson, T. Adawi, and A. Johansson, "Authenticity work in higher
. Liberatore, "Quantifying deliberate practice using auto‐graded questions: Analyzing multiple metrics in a chemical engineering course," Computer Applications in Engineering Education, 2023, doi: https://doi.org/10.1002/cae.22614.[48] J. M. Pfotenhauer, D. J. Gagnon, M. Litzkow, and C. M. Pribbenow, "Game Design and Learning Objectives for Undergraduate Engineering Thermodynamics," in ASEE Annual Meeting, Seattle, WA, 2015, p. 24147, doi: https://doi.org/10.18260/p.24147.
postgraduate and undergraduate engineering students, focus- ing on design courses from first year through to final year and course convenor of several Work Integrated Learning activities and courses for the Faculty. ©American Society for Engineering Education, 2023 Student perceptions of the place, mode, and teacher contribution to teamwork within undergraduate chemical engineeringAbstractThe challenges of contemporary practice require engineers who can work in multidisciplinaryteams comprised of professionals from various backgrounds and disciplines. Graduateengineers are expected to enter the workforce equipped with the ability to work seamlesslywith these teams. Thus, it is critical that
universities tomake online engineering education available with very little preparation. Institutions adoptedmultiple online education strategies for laboratory courses, including virtual labs, remote-assistedexperimentation, simulations, and others. Even before the COVID-19 pandemic, virtual labmethods and web labs have been used to connect an experimental module to a computer, thusallowing students to collect data via remotely. Student response to these strategies has beenpositive with ease of access and the ability to connect in a plug-and-play fashion as the mainadvantages[4]. Despite these advantages, hands-on experimentation cannot be assessed withvirtual laboratories, impairing some of the learning outcomes of laboratory courses.To tackle this
as “other” such as biology, chemistry, business, computer science, safety, andcommunication, among others, has led to the evolving definition of chemical engineers. Theboundaries of this discipline have become grayer and allow for more interdisciplinarycollaborations and broader research interests, leading to impactful discoveries. The need for periodic review of processes is needed in all fields of endeavor, andchemical engineering education is no different. Curricula must change and evolve as the worldchanges and evolves to match the variety of applications and jobs/careers the students willundertake after completing their degree. These changes to the scope of chemical engineering canbe seen in the undergraduate education curriculum