NFigure 1. Communication with different audiences. a) Percent of total respondents indicating that theycommunicated with identified audiences and b) the frequency with which positive respondents (those who spoke withspecific audiences) communicated with these audiences.Students communicated most with engineers (in discipline (80%), out of discipline (72%)), non-engineers (with technical degree (74%), without technical degree (59%)), managers in engineering(69%) and external employees (contractors, suppliers, etc.) (57%). Of these, students had mostfrequent interactions with in-discipline engineers, with nearly 90% of students indicating veryfrequent (2-3 times per day) or frequent (1-2 times per day) interactions. Interestingly, 46 of the77
RubricThe original version of the oral presentation rubric for our laboratory course is shown inAppendix A. This is an example of a scoring guide rubric. There is narrative of expectations ofan excellent presentation, but there is no clear rationale for what separates “excellent” from“very good,” for example. This presents a clear drawback when it comes to inter-rater reliability,as each evaluator has their own opinion for the different standards.The original video presentation rubric is shown in Appendix B. Arguably this is not an effectiverubric. It could generously be categorized as a scoring guide rubric as well.One proposal was to move toward more of a check-box style rubric, as described in Stevens andLevi [2]. However, the team quickly found
; (b) requiring groups tocomplete a project planning phase that serves as a roadmap for their experience; (c) encouragingassignment of tasks to individuals rather than condoning ‘group work’; (d) conducting regularcheckups of team progress; and (e) coaching teams or team leaders in dealing with non-performing team members or other team dysfunction. All of these aspects of team guidance bythe instructor are deemed critically important to project success [2, 6].Approach to Capstone Design ExperienceThe project groups or teams for the capstone design in chemical engineering at TAMUK areformed in the fall, at the beginning of the two-semester senior design course sequence (fall-spring sequence, also known as Design II and Design III). The students
Education, 34(1) pp. 26-39, 2000[2]. Gomes V.G., Barton G.W., Petrie J.G., Romagnoli J., Holt P., Abbas A., Cohen B., Harris A.T., Haynes, B.S., Langrish, T.A.G., Orellana J., See H.T., Valix M. and White D., “Chemical engineering curriculum renewal”, Education for Chemical Engineers, 1 pp.116-125, 2006[3]. Stake, R.E., “The Art of Case Study Research”, Sage: Thousand Islands, London and New Delhi, 1995[4.] Cuthbert, R., “Students as customers”, Higher Education Review, 42(3) pp.3-25, 2010[5]. Toppin, I.N., “Video lecture capture (VLC) system: a comparison of student versus faculty perceptions”, Education and Information Technologies, 16(4) pp.383-393, 2010[6]. Mazurat, R. and Schӧnwetter D. “Electronic
, parents are demonstrating an increased interest in the post-graduationoutcomes of their students. A recent article in the New York Times stated, “Nowadays, it’sapparent to college administrators that many parents want more for their children from collegethan just an education. As a result, finding ways to get students to connect early with careerservices support has become a goal at many institutions around the country” (Hannon, 2018).Demonstrating its graduates’ career readiness continues to be mission critical for institutions ofhigher education. But, are graduates career ready? The National Association of Colleges andEmployers (NACE) surveys graduates and employers regularly to gauge their career readiness(NACE (a), 2018; NACE (b), 2018). In
universities to considerdeveloping a similar first year chemical engineering seminar courses to complement Material &Energy Balances and enhance the student experience.Author ContributionsDSG conceived the study, led the instruction of the seminar, administered the surveys and wrotethe manuscript. GS co-instructed the seminar and edited the manuscript. JZ performed thestatistical analysis..References1 M. A. Vigeant, K. D. Dahm, and K. L. Silverstein, The state of the chemical engineeringcurriculum: Report from the 2016 survey: ASEE Conference, June 25-27, 2017, Columbus, OH.2 F. M. Bowman, B. R. Balcarcel, G. K. Jennings, B. R. Rogers, “FRONTIERS OF CHEMICALENGINEERING A Chemical Engineering Freshman Seminar.” J. Chem. Eng. Edu. pp. 24-29,2003.3
qualitative and quantitative methods) and identify theoretical frameworksthat can help to understand the impact of this work. It is expected that the proposed workshops 6will be offered every semester to support the efforts of the recently formed Chemical Engineeringdesign team at our institution. This provides a potential for longitudinal studies within the chemicalengineering education community.References:[1] R. S. Voronov, S. Basuray, G. Obuskovic, L. Simon, R. B. Barat, and E. Bilgili, "Statistical analysis of undergraduate chemical engineering curricula of United States of America universities: Trends and
, “Toward a Design Theory of Problem Solving,” Educ. Technol. Res. Dev., vol. 48, no. 4, pp. 63–85, 2000.[5] K. W. McElhaney, H.-Y. Chang, J. L. Chiu, and M. C. Linn, “Evidence for effective uses of dynamic visualisations in science curriculum materials,” Stud. Sci. Educ., vol. 51, no. 1, pp. 49–85, 2015.[6] B. J. Reiser, “Scaffolding Complex Learning: The Mechanisms of Structuring and Problematizing Student Work,” J. Learn. Sci., vol. 13, no. 3, pp. 273–304, 2004.[7] R. D. Pea, “The Social and Technological Dimensions of Scaffolding and Related Theoretical Concepts for Learning, Education, and Human Activity,” J. Learn. Sci., vol. 13, no. 3, pp. 423–451, 2004.[8] I. Roll et al., “Understanding the
level after required textbook readings, a passive learning method, isacceptable because of the observations previously made that such learning methods are bettersuited for understanding at lower Bloom’s levels. Additionally, having most of the paragraphwritten in the beginning tier will allow students to observe paragraph structure and the use oftechnical phrases—circling back to the psychological phenomenon of learning through imitation. Circle the correct term for each space in the paragraph describing pressure versus distance for incompressible flow through the venturi meter displayed below: From points A to B, where the cross-sectional area decreases, pressure will increase/decrease due to flow work/kinetic
., Adesope, O., & Bayly, D. J. (2016). A meta-analysis of the effects of audience response systems (clicker-based technologies) on cognition and affect. Computers & Education, 94, 102–119. https://doi.org/10.1016/j.compedu.2015.11.013Mayer, R. E., Stull, A., DeLeeuw, K., Almeroth, K., Bimber, B., Chun, D., … Zhang, H. (2009). Clickers in college classrooms: Fostering learning with questioning methods in large lecture classes. Contemporary Educational Psychology, 34(1), 51–57. https://doi.org/10.1016/j.cedpsych.2008.04.002Prince, M. (2004). Does Active Learning Work? A Review of the Research. Journal of Engineering Education, 93(3), 223–231. https://doi.org/10.1002/j.2168- 9830.2004.tb00809
was allowed to work on this assignment inpairs (same as the 2018 cohort in the redesigned course), while the 2016 cohort was required towork on this assignment individually. This difference in performance further motivates the moveto incorporate more collaborative assignments into this course. A BFigure 2. Assessment of Student Achievement on Major Course Assignments. (A) Students’performance on a major midterm project (as rated on a four-point scale) is presented as thepercentage of students who achieved a grade in each category for the ’16 (black), ’17 (grey), and’18 (white) offerings of the course. (B) Students’ performance on the final course examination ispresented as the raw average score for the cohort
) 1 from these two oils how many ounces of the second must be added to 10 ounces of the first in order for the dressing to have 14 % saturated fats.Table 1 (continued). Analysis of individual problems from chemical engineering 4. One thousand kilograms per hour of a mixture of benzene (B) 9.3 12.5 p=0.0169 and toluene (T) containing 50% benzene by mass is separated by (n=21) (n=34) distillation into two fractions. The mass flow rate of benzene in the top stream is 450 kg B/h and that of toluene in the bottom stream is 475 kg T/h. The operation is at steady state. Calculate the unknown component flow rates in the output streams. 5. Two methanol-water mixtures are contained in separate flasks. 4.8 11.88 p=0.0014
curve, while asecond group performed a calibration of FAEEs in oil using the same technique (Fig. 1B).However, the main challenge emerged because some benchtop results were inconclusive as nophase separation was observed, leading to many frustrations to the students. It was later concludedby the students that at some instances; a saponification reaction was induced, leading to anemulsion in the reaction.[10]Figure 1. CSTR Apparatus used for the Biodiesel production (A) and calibration curve for FAEEs in soybean oil (B).During CSTR testing, a maximum setpoint temperature of 65 °C could be achieved. The fluidtemperature inside the reactor was recorded as a function of time during testing; it varied due tolimitations in mixing and heat transfer
using membrane cell encapsulation. She resides just outside of Boston, MA with husband, son, twin daughters and three cats. She is active in her community and is passionate about safety education.Dr. Sarah A. Wilson, University of Kentucky Sarah Wilson is a lecturer in the Department of Chemical and Materials Engineering at the University of Kentucky. She completed her bachelor’s degree at Rowan University in New Jersey before attending graduate school for her PhD at the University of Massachusetts in Amherst, MA. Sarah conducted her thesis research on the production of the anti-cancer compound Paclitaxel (Taxol) through the use of plant cell cultures from the Taxus Yew Tree. Throughout her time at Rowan and UMass
Paper ID #27548A Time-Saving Algorithm for Team Assignment and Scheduling in a Large-Scale Unit Operations Laboratory CourseDr. Andrew Maxson, Ohio State University Andrew Maxson is an assistant professor of practice in chemical engineering at The Ohio State University where he teaches Chemical Engineering Unit Operations. He earned his B.S. in chemical engineering from Rose-Hulman Institute of Technology and his M.S. and Ph.D. in chemical engineering at Ohio State. Having worked as a manufacturing process engineer for ten years, his focus is on optimizing the process of teaching, as well as hands-on, practical engineering
Paper ID #25324Using or Viewing a Demonstration of Inquiry-Based Computer Simulations:The Effectiveness of Both in Learning Difficult Concepts in Heat TransferDr. Katharyn E. K. Nottis, Bucknell University Dr. Nottis is an Educational Psychologist and Professor Emeritus of Education at Bucknell University. Her research has focused on meaningful learning in science and engineering education, approached from the perspective of Human Constructivism. She has authored several publications and given numerous presentations on the generation of analogies, misconceptions, and facilitating learning in science and engineering
Paper ID #26429Work in Progress: Improving Critical Thinking and Technical Understand-ing as Measured in Technical Writing by Means of I-depth Oral Discussionin a Large Laboratory ClassDr. Mechteld Veltman Hillsley, Pennsylvania State University, University Park Dr. Hillsley is an Associate Teaching Professor in the Department of Chemical Engineering at Pennsylva- nia State University. She received a BS in Chemical Engineering from Virginia Tech in 1988 and an MS and PhD from Penn State in 1990 and 1994, respectively. Dr. Hillsley spent approximately 10 years doing research at Penn State on fluid shear stress effects on
Paper ID #25970How We Teach: ThermodynamicsDr. Margot A Vigeant, Bucknell University Margot Vigeant is a professor of chemical engineering at Bucknell University. She earned her B.S. in chemical engineering from Cornell University, and her M.S. and Ph.D., also in chemical engineering, from the University of Virginia. Her primary research focus is on engineering pedagogy at the undergraduate level. She is particularly interested in the teaching and learning of concepts related to thermodynamics. She is also interested in active, collaborative, and problem-based learning, and in the ways hands-on activities such as making
tools. Data were taken in sections of (a) third-year students inThermodynamics II, (b) fifth-year students in Process Control, and (c and d) fourth-year students inTransport II. Through collaboration with professional and student artists, short comics that provide supportinginstruction in chemical engineering can be provided directly to students to help promote their confidenceand understanding in the subject matter. These science comics have been distributed in several coreclasses in the chemical engineering curriculum and have now been adopted or used by over 50 differentcolleges, high schools, companies, and government organizations in the United States, as well as in theU.K., Belgium, and Denmark. This paper will discuss the
, IPCC.2017.8013936, 2017 IEEEInternational Professional Communication Conference.[6] C. G. P. Berdanier and N. M. Trellinger, Development of a Method to Study Real-TimeEngineering Writing Processes, FIE.2017.8190449, 2017 IEEE Frontiers in EducationConference, Oct 18-21, 2017, Indianapolis, IN.[7] D. Kmiec, O. Menagarishvili, and B. Longo, Humanistic Approach for Teaching TechnicalWriting Service Courses Better Meet the Needs of Our Students (and Our Discipline), 2017 IEEEInternational Professional Communication Conference.[8] K. Burke, J. Ouellette, W. Miller, C. Leise, and T. Utschig, “Measuring Writing as aRepresentation of Disciplinary Knowledge,” International Journal of Process Education, Vol 4Issue 1, Jun 2012.[9] S. Thomas, The
running each of “our” two experiments. During these pre-lab meetingswe make sure the students have prepared well for their lab day focusing on 1) safety, 2) theefficacy of their experimental approach (which they design based on some minimumexperimental objectives, increasing in number and complexity as the weeks go on), and 3) theiranalysis plan. These pre-lab meetings are run in a Socratic manner where we ask questions toguide rather than give answers. We read and provide feedback on two drafts on Monday, go overthose commented drafts in meetings with students on Tuesday, then comment the Group B draftsthat same day for the Wednesday draft reviews. On top of this, professors attend two oralpresentations on Tuesday and two on Wednesday, providing
Paper ID #24615Scalable and Practical Interventions Faculty Can Deploy to Increase StudentSuccessMr. Byron Hempel, University of Arizona Byron Hempel is a PhD Candidate at the University of Arizona, having received his B.S. in Chemistry at the University of Kentucky and Masters in the Chemical and Environmental Engineering Department at the University of Arizona. Working under Dr. Paul Blowers, Byron is focusing on improving the classroom environment in higher education by working in the flipped classroom. He is a University Fellow, a Mindful Ambassador, and Chair of the Graduate Student Working Group for the ASEE Chapter
students who are prepared. In order to better motivate the students to completethis out-of-class work on time, quizzes were built for most of the videos and students wererequired to complete these on the Learning Management System (LMS) before a particular classsession. While these were scored for performance, students received participation points simplyfor completing the quiz on time.As mentioned above, two other sections of this course were delivered simultaneously by twodifferent instructors. Section A (with 60 students who received a final grade at the end of thesemester) was delivered in the traditional A B Cmanner, while Section B (47 students)provided optional Reading Guides for students
most watched animations gathered at least 11% extra views, so at least 10 students re-watched each animation.Table 3. Most watched animations for 2018 cohort (n = 98 students). Animation title Section title Views (%) Formulas using $ Spreadsheet formulas 118 Worksheet basics Spreadsheet basics 114 If statements in a spreadsheet Spreadsheet functions 111Using the dollar sign ($) in formulas was the most watched animation, which quantifies theubiquity of the dollar sign in formulas as well as the different uses of the dollar sign. While usingtwo dollar signs to anchor a cell is common (e.g., $B$3), using only a single dollar sign is usefulbut not as common in the
innovations are beyond the scope of thiswork, but a significant literature can be found (e.g., [8, 9]).Textbook reading rates for this course have been discussed previously [10-12]. Specifically, highreading rates – median reading rates greater than 90% - have been observed [11], while limiteddata over recent decades show significantly less reading for traditional textbooks [10, 12, 13].While reading rates were reproducibly high for two previous cohorts, several other findings arealso of note. While interactive textbook reading is an effort-based activity and grade, statisticallysignificantly higher reader rates were observed for students earning A and B grades in the coursecompared to C, D, and F cohort [10]. In addition, interactivity allows the
. Education, 92(1), 7–25 (2003).7. T. DeBacker & R. Nelson. “Variations on an expectancy-value model of motivation in science.” Contemporary Educational Psychology, 24(2), 71-94. doi: 10.1006/ceps.1998.0984 (1999).8. P. Pintrich, D. Smith, T. Garcia & W. McKeachie. “Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ).” Educational and psychological measurement, 53(3), 801-813 (1993).9. A. Wigfield & J. Cambria. “Students’ achievement values, goal orientations, and interest: Definitions, development, and relations to achievement outcomes.” Developmental Review, 30(1), 1-35 (2010).10. J. Flake, K. Barron, C. Hulleman, B. McCoach & M. Welsh. “Measuring
. Wilson G (2016) Software Carpentry: Lessons learned [version 2]. F1000Research 3:62.14. The Carpentries (https://carpentries.org/).15. Ekmekci B, McAnany CE, & Mura C (2016) An introduction to programming for bioscientists: A Python-based primer. PLOS Computational Biology 12:e1004867.16. Hall T & Stacey JP (2009) Chapter 2: Designing Software. Python 3 for Absolute Beginners, (Springer, New York).17. Hamby DM (1994) Review of techniques for parameter sensitivity analysis of environmental models. Environmental Monitoring and Assessment 32:135-154.18. Hartmann AK (2015) Big Practical Guide to Computer Simulations (World Scientific, Hackensack, NJ) 2nd Ed.19. Hemez FM & Kamm JR (2008) A brief overview of
., vol. 113, no. 5, pp. 969– 1003, 2011.[13] S. A. Bjorklund, J. M. Parente, and D. Sathianath, “Effects of Faculty Interaction and Feedback on Gains in Student Skills,” J. Eng. Educ., vol. 93, no. 2, pp. 153–160, Apr. 2004.[14] C. T. Amelink and P. S. Meszaros, “A comparison of educational factors promoting or discouraging the intent to remain in engineering by gender,” Eur. J. Eng. Educ., vol. 36, no. 1, pp. 47–62, Mar. 2011.[15] L. Fiorella and R. E. Mayer, “Eight Ways to Promote Generative Learning,” Educ. Psychol. Rev., vol. 28, no. 4, pp. 717–741, Dec. 2016.[16] K. Grygoryev and S. Karapetrovic, “Tracking Classroom Teaching and Learning: An SPC Application,” Qual. Eng., vol. 17, no. 3, pp. 405–418, Jul. 2005.[17] B
Paper ID #27019Work in Progress: Twenty Year Evolution of an Outreach ProgramDr. Taryn Melkus Bayles, University of Pittsburgh Taryn Bayles, Ph.D., is a Professor of Chemical Engineering and Vice Chair of Undergraduate Education in the Chemical and Petroleum Engineering Department at the University of Pittsburgh, where she incor- porates her industrial experience by bringing practical examples and interactive learning to help students understand fundamental engineering principles. Her current research focuses on engineering education, outreach and curriculum development. c American Society for
Paper ID #25554Problem Solving When Using Student-Written YouTube ProblemsUchenna Asogwa, University of Toledo Uchenna Asogwa is a graduate student of Chemical Engineering at the University of Toledo. He earned a B.S. degree from the University of Benin, Nigeria in chemical engineering. His current research involves the reverse engineering online videos as well as rheology of complex fluids.Prof. Matthew W. Liberatore, University of Toledo Matthew W. Liberatore is a Professor of Chemical Engineering at the University of Toledo. He earned a B.S. degree from the University of Illinois at Chicago and M.S. and Ph.D. degrees