,conducted by the AIChE Education Division on the curricular and pedagogical topics for ProcessControl, points to an average of approximately 40 hours of lecture, 11 hours of simulation, and 7hours of experimental laboratory per course [1]. In addition, more than 50% of respondentsrequire no lab reports [1], which can be interpreted as having no corresponding lab, confirmingthe perception that most process control courses in chemical engineering rely on classroomsettings and mathematical content [2]. “Systems Engineering, I: Dynamics and Modeling” is aclassical one-semester course in Process Control [3] and one of the two capstone courses forsenior students at the University of Pittsburgh. It is a five-credit course where students meet withthe
workshop was delivered accordingly, the module leader facilitatesthe session. Two graduate teaching assistants (GTAs) are recruited as co-facilitators to support theteaching activities. The workshop facilitators are responsible for introducing the gameplay,addressing any queries regarding the activities, managing the time for Activity 1; and remindingstudents of the various stages and managing the time for Activity 2.Research Sequence:- Introduction of the teamwork activities and their objectives. 3- Participants engage in teamwork activities.- A post-activity questionnaire is given after the session to promote students’ reflections on
typicalengineering course may not provide opportunities for students to learn and practice the diversityof practical skills they would use as practicing engineers. With the information presented herein,changes to course design and assessment can be made in communication-focused courses, andelsewhere in the curriculum, to target communication skills transferable to the workplace.Introduction and purposeAlthough the technical skills taught within engineering departments are likely similar to thosetaught within all engineering programs, professional skills are where graduates can stand outwhen entering the workforce [1-3]. Proficient communication in particular has been directlylinked to enhanced career progression [4], yet many engineering graduates lack
teacher in the department from the Dean of Engineer- ing, Covenant University. Currently, Dr. Mosobalaje’s research interest is in petroleum data analytics (PDA) as well as the deploy- ment of machine learning (ML) tools to petroleum engineering applications. In research (and teaching, too), he leverages his proficiencies in open source platforms such as R and Python and associated libraries (ggplot, gstat, dplyr, scipy, numpy, matplotlib etc). In a modest way, his research products have helped to extend the functionality of some existing geostatistical routines. For his efforts, he recently received the Best Paper award in the 2020 International Conference on Applied Informatics, sponsored by Springer and
learning and being actively engaged with the topic with the help of learning ma-terial [1]–[3]. Freeman’s analysis of student performance in undergraduate STEM disciplinesshowed that students are 1.5 times more likely to fail when they are only exposed to verbal lec-turing [3]. The focus of learning is slowly shifting towards more student-centered learning andaway from instructor-centered learning as pedagogies broaden.Several important unit operations covered in the chemical engineering curriculum involvepacked or fluidized beds where surface interactions of solids and fluids are very important. Flu-idized beds are commonly used in industrial applications such as surface coating, catalytic crack-ing, heat transfer, adsorption, and combustion [4
variousteaching roles (labs, tutorials and design projects), who contractually can undertake a maximum of 6hours of teaching per week. Our GTA cohort is somewhat heterogenous made up of a mixture ofrecent graduates and those with industrial experience, with some being entirely new to teaching whileothers have limited prior experience.The central research question guiding the study reported here is: whether there are any currentmechanisms that are illustrative of (potential) decisional capital, and how these could be furtherenhanced. As this paper is a work in progress (WIP) piece, we are deliberately focusing on one aspectof a much wider study, that considers how professional capital [3][4] can be used to enable individualGTAs to professionalise their
2.27±0.58 -0.22222 0.42 Epistemic Curiosity (DEC)b a 1-7 Likert Scale (Note: 1 =not at all true of me, 7 = very true of me) b 1-4 Likert Scale (Note: 1 =never., 2= sometimes, 3 =often, 4 = always)When comparing the class observation of student and instructor behaviors across the three semesters whenECP was implemented, the classes reveal good engagement with ECP. In Fall 2021 as shown in figures 7 and8, students participated in groups during the experiment despite the technical issues in the process.Fall 2021Figure 7 Class Observation (Students)Figure 8 Class Observation (Instructor)However, in Spring 2022, as shown in figure 9, there was great improvement in the student and instructor’sbehavior. A
, valves, etc.), iii) electrical connections forsensors and pumps, and iv) an Arduino-based data monitoring and acquisition system.Engineering design criteria played an important role in the design of 3D-printed process unitsand the selection of flow elements, electrical components, and sensors. For example, pipediameters and lengths were chosen to be within operating ranges of pumps and sensors, and tonot exceed printer thresholds. In general, dimensions of 3D-printed process units ranged between7 – 18 cm, with outside diameters of up to 3 cm, and internal pipe diameters as small as 0.18 cm.The 3D-printed process units included a fluidic bench, pipe adapters, heat exchangers (tubularand shell & tube), and a packed bed column. A 3D-printer
= ∫ ∗ (2) 𝑦𝑜𝑢𝑡 𝑦 − 𝑦 𝑙 𝑇 = 𝐻𝑂𝐺 𝑁𝑂𝐺 (3) 𝑉 𝐻𝑂𝐺 = (4) 𝐾𝑦 𝑎 ∙ 𝑆The results of preliminary absorption trials are reported in Figure 8. The mass transfercoefficient is reported as a function of liquid load (volumetric flux) for two different gas flowrates. For perspective on the quality of the results, the graph includes data extracted from Koch-Glitsch’s technical brochure on plastic packing and column internals
Journal of Science Education, vol. 33, no. 18, pp. 2463–2488, 2011. [2] T.-R. Sikorski and D. Hammer, “Looking for coherence in science curriculum,” Science Education, vol. 101, no. 6, pp. 929–943, 2017. [3] E. Kuo, M. M. Hull, A. Elby, and A. Gupta, “Assessing mathematical sensemaking in physics through calculation-concept crossover,” Physical Review Physics Education Research, vol. 16, no. 2, p. 020109, 2020. [4] F. Zhao and A. Schuchardt, “Development of the sci-math sensemaking framework: categorizing sensemaking of mathematical equations in science,” International Journal of STEM Education, vol. 8, no. 1, pp. 1–18, 2021. [5] T. O. B. Odden and R. S. Russ, “Sensemaking epistemic game: A model of student sensemaking processes
pulse generated by the pin to simulate a steady voltage output that spans the fullrange of the board (0-5 V). The Uno also has six analog input pins which can be used to readtemperature, light, and pressure sensors inputs.In this model, output Pins 3 and 5 are each connected to a red LED light in series with a 330 Ωresistor. One side of the photoresistor is connected to the 5V pin, and the other side is connectedto the A0 pin and to a 10 kΩ resistor connected to ground. USB connection to computer LED #1 photoresistor (Pin 5
teaching-focused faculty in Chemical Engineering and provide examples ofteaching-track policies at four institutions to serve as a guide for other departments andinstitutions.CHE Teaching-Track Faculty Survey Results and AnalysisThe survey was sent out through our networks in the AICHE Education Division and ASEEChemical Engineering Division. We had three main goals of the survey: 1. To determine whatroles these faculty are playing in their department, 2. To determine what support they are or arenot receiving toward their professional development, 3. To get a sense of their belonging in theirdepartment, university and nationally. There were 41 faculty members who filled out the survey(including the authors). The authors developed the survey after
regenerate human tissues [2]. Basedon these important benefits to human health, biomaterials are projected to have global revenues of$348.4 billion by 2027 [3] and the employment of bioengineers is projected to increase by 6% by2030 [4]. To satisfy these increasing societal and economic demands for biomaterials, we mustengage students at a young age to join the field of biomaterials.Bioadhesives are an important class of biomaterials, designed to adhere biological componentstogether for tissue repair [5]. In a clinical setting, bioadhesives are used to stop internal fluid leaks[6] and aid in healing surgical wounds [7]. Additionally, scientists and engineers have designedexperimental bioadhesives to seal soft tissue defects and repair orthopaedic
. ©American Society for Engineering Education, 2023 Chemical Engineer’s Creating Concept Maps: A Pre-Writing ActivityThis full paper describes the implementation and evaluation of concept maps as a pre-writingactivity in chemical engineering. Concept mapping provides a non-linear means for organizinginformation around a central topic that allows the creator to demonstrate their knowledge of atopic, identify new connections among concepts related to the central topic, and identify areaswhere they need more information to understand the topic. Chemical engineering students taskedwith developing a technical proposal were given a concept mapping assignment as an early pre-writing task. Participants were from two courses, Technical &
and science inquiryWilliam Grover Brown ©American Society for Engineering Education, 2023 Study Guide Generation in Chemical Engineering Thermodynamics: A Comparison Between Individual and Group PreparationIntroduction and BackgroundCollaborative environments have been linked to improved student learning across many differentvariables, from early childhood education [1] to graduate level quantum physics [2]. Specificallywithin engineering, first-year engineering students showed a statistically significant increasewhen working collaboratively on tutorials in a calculus course based on exam performancerelative to a control. [3]Of course, collaborative environments define a large umbrella of approaches, and
. Daniel Cardenas-Vasquez, North Carolina State University, Raleigh ©American Society for Engineering Education, 2023 Is Poor Classroom Attendance a Virtual-Learning Hangover or the New Normal? A Qualitative Study1. IntroductionAttending class in person has historically been considered an important factor leading to studentsuccess in undergraduate institutions [1,2]. However, in the spring of 2020, a nationwide shutdowndue to the COVID-19 pandemic forced most schools (primary, secondary and tertiary educationalinstitutions) to cancel in-person class sessions and move to remote instruction [3]. As a necessaryremedy to keep classes in session, remote instruction became the norm and
and 2015, respectively. His primary areas of research are game-based learning, authentic process safety education, and membrane separations.Prof. Michael David Mau Barankin, Colorado School of Mines Michael D. M. Barankin is a Teaching Associate Professor of Chemical Engineering at the Colorado School of Mines. Dr. Barankin received his B.S. and Ph.D. from the University of CA, Los Angeles in 2002 and 2009, respectively; and he received his M.S., graduating with honors, from the Technical University in Delft, the Netherlands (TU Delft) in 2004. After a post-doctoral appointment at TU Delft through 2011, Dr. Barankin was a lecturer at the Hanze University of Applied Sciences in Groningen, where he taught both in
essentially all chemical engineering departments. In themost recent survey of process control courses conducted through the Chemical EngineeringDivision of the American Society for Engineering Education (ASEE), it was found that about44% of responding process control instructors assess students using some sort of laboratoryactivity [1]. While there is significant evidence to suggest student learning of process controlconcepts is enhanced through hands-on experiences [2], [3], the majority of process controlcourses do not integrate hands-on labs, perhaps due to limited access to process controlequipment. Indeed, the division process control survey concludes that “increasing enrollmentsare challenging the incorporation of physical laboratory exercises
Chem- ical Engineering and Ph.D. in Engineering and Science Education. Her research earned her a National Science Foundation CAREER Award focused on characterizing latent diversity, which includes diverse attitudes, mindsets, and approaches to learning to understand engineering students’ identity development. She has won several awards for her research including the 2021 Journal of Civil Engineering Education Best Technical Paper, the 2021 Chemical Engineering Education William H. Corcoran Award, and the 2022 American Educational Research Association Education in the Professions (Division I) 2021-2022 Outstanding Research Publication Award.Dr. Vanessa Svihla, University of Texas, Austin Dr. Vanessa Svihla is a
seeking toapply from international schools also must provide a Test of English as a Foreign Language(TOEFL) score, as the vast majority US colleges require a minimum score of 100 out of 120.This is considered a “strong score,” but some colleges will accept lower.12 Many schools havealso started to implement a holistic review to not fall victim to bias with greater success toinclude historically underrepresented minorities. 13Table 1. Required courses for students. Those that fall under the cafeteria criteria havethe option to choose these as a part of their core courses. 2002a 2022Courses Required "Cafeteria" Total Required "Cafeteria" Total
Google account or switching to the MATLAB software. Thebiggest technical challenge for participants was in editing code blocks or writing new functions ifthey were less familiar with the language.Figure 2: Example MATLAB Live Script with screenshots fromM4_NonisothermalPFR_solution.mlx. A) MATLAB Live Editor menu, B) formatted text blockswith title, text, code authors (blinded), Table of Contents, and bulleted list of learning objectives,C) equations formatted with LaTeX directly in MATLAB, D) instructional text interwoven withcode blocks written in MATLAB syntax, E) formatted text, code block, and plot output renderedinline, F) formatted text block with sample reflection questions at the end of the template.Figure 3: Example Jupyter Notebook
of 5 or less of 5 or more 2-3 Members 42% 32% 4-5 Members 52% 62% 6 or more Members 6% 6% 6-7 members 4-5 members 2-3 members 0% 10% 20% 30% 40% 50% 60% 70% International students Domestic students Figure 2 – Team size preferences according to residential statusAnother aspect investigated was the preferred method of deciding delegation priorities withina team according to 3 parameters: Equal share of work, technical knowledge of each member,or based on the work ethic of
classroom. We combined this with peermentoring [2],[3],[4],[5] for added benefits. Senior students have been informally known toguide lower-division peers, whether it is through study advice, resource sharing, or being a pointof contact. Having shared similar experiences, they can benefit the mentee by helping them avoidcommon pitfalls to be successful.In this work, we have created a novel interaction between the final-year students and the juniors.The two courses selected for this experience were Capstone Design and Process Control andSafety. These courses were selected since the authors are the instructor of record for the courses.Methodology Figure 1: Workflow of the process with the timeline.The workflow of the
words to find wasincreasingly constrained by the words previously found, resulting in a significant reduction in thenumber of words per member. Individual performance in Group E ranged 3-6 words per memberwith one non-contributing member as assigned for time recording. Like members in Group D,they were increasingly limited in the number of words to find, but the fact that only fourmembers were looking for words, instead of six for Group D, increased the average number ofwords per member. Individual performance at team F ranged from 2-5 words per member, wheremembers were focused on a reduced set of words to look for.In the second session, with a different group (Section 2), 35 students were distributed in groupsof six members, except one group
lived experience for all our students.References[1] Langhout, R. D., Drake, P. and Rosselli, F. (2009), “Classism in the university setting: Examining student antecedents and outcomes”, Journal of Diversity in Higher Education, 2(3): 166–181. https://doi.org/10.1037/a0016209[2] Brennan, J. and Osborne, M. (2008) “Higher education’s many diversities: of students, institutions and experiences; and outcomes?” Research Papers in Education, 23(2): 179-190, DOI: 10.1080/02671520802048711[3] McKay, J. and Devlin, M. (2016) “‘Low income doesn't mean stupid and destined for failure': challenging the deficit discourse around students from low SES backgrounds in higher education”, International Journal of
Managing the ProjectEffective project management practices are employed to ensure a path to success. Our team offaculty, graduate, and undergraduate students provide technical assistance in advancinginnovative process improvements at partnered industrial facility. We stay in constant contactwith the industry personnel through several plant visits and we monitor the processimprovements they make based on our recommendations. Web-based conferencing technology isused for regular work update meetings when more frequent interaction between faculty/studentsand our industry liaison is needed. Formal mid-year review sessions are conducted where thestudents present their semester long research to the team of industrial liaisons which includeplant managers
2.2 Design meets objectives or needs stipulated in problem statement PI 2.3 Design adheres to applicable constraints and/or standards SO 3 An ability to communicate effectively with a range of audiences PI 3.1 Communicates in written form without grammar issues and uses appropriate report format PI 3.2 Presents technical ideas and concepts in written form clearly PI 3.3 Delivers oral communication fluently PI 3.4 Effectively uses of visuals (e.g. Powerpoint)The revised assessment process, utilizing the components described above, is depicted in Figure1 below. This process was developed to engender a more central role of continuousimprovement in the department’s process than it had played in the past. Figure 1 depicts a two
contained the same grade distribution forclass participation, weekly group work participation, homework, group project, and the finalexam. While the control group had 3 midterm exams, the intervention group had 2 midtermexams and one group research presentation with the same grade distribution. The goal of our IRB-approved research study was to analyze the impact of gender,racial/ethnic background, and first-generation status on the students’ mindsets. In this paper, wereported our preliminary observations from the control group and described the mindsetinterventions applied to the intervention group. In the future, we intend to report the observationsfrom the intervention group and show the comparisons between the control and the
worsens [4]. Despite this, the issue of representation within chemical engineeringspecifically remains under-researched. Indeed, a literature search of Chemical EngineeringEducation (CEE) and the ASEE chemical engineering division proceedings yielded only twostudies focused on gender [2, 4]; we did, however, find studies in CEE focused on studentdemographics more broadly [5] and one study in an international journal focused on theexperiences of women in chemical engineering [6].Most research about gender diversity in chemical engineering has focused on women’saspirations to study chemical engineering. Godwin and Potvin (2013) conducted a detailedquantitative analysis of pre-college factors related to students’ reasons for choosing
., Dewar, M., Della Sala, S., & Wolbers, T. (2015). Rest boosts the long‐termretention of spatial associative and temporal order information. Hippocampus, 25(9), 1017-1027.2. Rudolph, J. (2018). Lang, JM (2016). Small teaching. Everyday lessons from the science oflearning. San Francisco: Jossey-Bass.3. Tran, V. D. (2014). The effects of cooperative learning on the academic achievement andknowledge retention. International journal of higher education, 3(2), 131-140.