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Filipovic, Nicholas; Scott, Alison J.; Penlidis, Alexander – Chemical Engineering Education, 2021
As future chemical engineers, it is important that students be able to identify and quantify sources of error. A statistical analysis technique that is often overlooked is hierarchical design methodology, which allows for the separation of overall variance into several related components. While hierarchical methodology is relevant to many fields,…
Descriptors: Chemical Engineering, Engineering Education, Statistical Analysis, Plastics
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Liberatore, Matthew – Chemical Engineering Education, 2017
Textbooks are experiencing a 21st century makeover. The author has created a web-based electronic textbook, Material and Energy Balances zyBook, that records students' interactions. Animations and question sets create interactive and scaffolded content. The interactive format is adopted successfully in other engineering disciplines and is now…
Descriptors: Energy, Textbooks, Science Instruction, Electronic Publishing
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Godwin, Allison; Verdín, Dina; Kirn, Adam; Satterfield, Derrick – Chemical Engineering Education, 2018
We surveyed 342 first-year engineering students at four U.S. institutions interested in a chemical engineering career about their feelings of belonging in engineering, motivation, and STEM identities. We compared these students by both gender and race/ethnicity on these attitudinal factors. We found several significant differences in…
Descriptors: Student Attitudes, Chemical Engineering, Gender Differences, Race
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Wen, Fei; Khera, Eshita – Chemical Engineering Education, 2016
Despite the instinctive perception of mass and heat transfer principles in daily life, productive learning in this course continues to be one of the greatest challenges for undergraduate students in chemical engineering. In an effort to enhance student learning in classroom, we initiated an innovative active-learning method titled…
Descriptors: Active Learning, Heat, Thermodynamics, Student Developed Materials
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Koretsky, Milo; Montfort, Devlin; Nolen, Susan Bobbitt; Bothwell, Michelle; Davis, Susannah; Sweeney, James – Chemical Engineering Education, 2018
We describe progress on a comprehensive, programmatic change initiative whose goal is to create an inclusive culture that fosters diversity and a shift towards more meaningful, consequential work. While this initiative has several elements that target different aspects of unit practices and culture, we focus here on pedagogical change. Our…
Descriptors: Chemical Engineering, Teaching Methods, Curriculum Development, Academic Achievement
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Gonçalves, Carine Messias; Schwaab, Marcio; Pinto, José Carlos – Chemical Engineering Education, 2013
In order to interpret laboratory experimental data, undergraduate students are used to perform linear regression through linearized versions of nonlinear models. However, the use of linearized models can lead to statistically biased parameter estimates. Even so, it is not an easy task to introduce nonlinear regression and show for the students…
Descriptors: Chemical Engineering, Science Instruction, Science Laboratories, Laboratory Experiments
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Fahidy, T. Z. – Chemical Engineering Education, 2009
Several currently popular methods of ascertaining which treatment (population) means are different, via random samples obtained under each treatment, are briefly described and illustrated by evaluating catalyst performance in a chemical reactor.
Descriptors: Comparative Analysis, Chemistry, Chemical Engineering, Sampling
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Shacham, Mordechai; Cutlip, Michael B.; Brauner, Neima – Chemical Engineering Education, 2009
A continuing challenge to the undergraduate chemical engineering curriculum is the time-effective incorporation and use of computer-based tools throughout the educational program. Computing skills in academia and industry require some proficiency in programming and effective use of software packages for solving 1) single-model, single-algorithm…
Descriptors: Computer Software, Computer Literacy, Problem Solving, Chemical Engineering
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Muske, Kenneth R.; Myers, John A. – Chemical Engineering Education, 2007
A realistic applied chemical engineering experimental design and statistical analysis project is documented in this article. This project has been implemented as part of the professional development and applied statistics courses at Villanova University over the past five years. The novel aspects of this project are that the students are given a…
Descriptors: Research Design, Chemical Engineering, Statistical Analysis, Information Retrieval
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Joo, Yong Lak; Choudhary, Devashish – Chemical Engineering Education, 2006
For decades, every chemical engineer has been asked to have a background in separations. The required separations course can, however, be uninspiring and superficial because understanding many separation processes involves conventional graphical methods and commercial process simulators. We utilize simple, user-­friendly mathematical software,…
Descriptors: Visualization, Computation, Chemical Engineering, Engineering Education
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Monroe, Charles W.; Newman, John – Chemical Engineering Education, 2007
The Onsager reciprocal relations are essential to multicomponent transport theory. A discussion of the principles that should be used to derive flux laws for coupled diffusion is presented here. Fluctuation theory is employed to determine the reciprocal relation for transport coefficients that characterize coupled mass and heat transfer in binary…
Descriptors: Heat, Graduate Students, Chemical Engineering, Computation
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Sommerfeld, Jude T. – Chemical Engineering Education, 1986
Summarizes a simple design algorithm which identifies nested loops of equations which must be solved by trial-and-error methods. The algorithm is designed to minimize such loops, provides guidance to the selection of variables, and delineates the order in which systems of equations are to be solved. Examples are included. (TW)
Descriptors: Algorithms, Chemical Engineering, College Mathematics, College Science
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Hudgins, R. R.; Reilly, P. M. – Chemical Engineering Education, 1989
Discussed are problems encountered when a gas absorption experiment with strong measurement error is used. Notes students either avoid the experiment or report it as defective. Provides ideas to make lab experiments more instructive. (MVL)
Descriptors: Chemical Analysis, Chemical Engineering, Chemistry, College Science
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Long, Christopher E.; Matthews, Michael A.; Thompson, Nancy S. – Chemical Engineering Education, 2007
The benefits of active learning in the traditional classroom setting are well established among engineering educators; however, this learning model can thrive in other settings, namely in a research group. This work presents findings from an educational research project specifically designed to foster active learning among undergraduates and…
Descriptors: Undergraduate Students, Educational Research, Active Learning, Peer Relationship
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Subramanian, Venkat R. – Chemical Engineering Education, 2006
High-performance computers coupled with highly efficient numerical schemes and user-friendly software packages have helped instructors to teach numerical solutions and analysis of various nonlinear models more efficiently in the classroom. One of the main objectives of a model is to provide insight about the system of interest. Analytical…
Descriptors: Chemical Engineering, College Students, Computer Uses in Education, Computer Software
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