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English, Niall J. – Chemical Engineering Education, 2022
Molecular-, fluid- and field-dynamics simulation are becoming more mainstream tools for practicing process engineers; here, the academic community needs to pay close attention to "upskilling" demands from industry, where remote working/training emphasizes the need for sophisticated computational-engineering design tools with molecular…
Descriptors: Engineering Education, Skill Development, Computation, Design
Bougot-Robin, Kristelle; Paget, Jack; Atkins, Stephen C.; Edel, Joshua B. – Journal of Chemical Education, 2016
It is not uncommon for students to view laboratory instruments as black boxes. Unfortunately, this can often result in poor experimental results and interpretation. To tackle this issue, a laboratory course was designed to enable students not only to critically think about operating principles of the instrument but also to improve interpretation…
Descriptors: Chemistry, Science Instruction, Laboratory Equipment, Critical Thinking
Harries, Catherine; Botha, Julia – Pythagoras, 2013
Evidence suggests that healthcare professionals are not optimally able to calculate medicine doses and various strategies have been employed to improve these skills. In this study, the performance of third and fourth year medical students was assessed and the success of various educational interventions investigated. Students were given four types…
Descriptors: Medical Students, Competence, Computation, Drug Therapy
Hanyak, Michael E., Jr. – Advances in Engineering Education, 2015
In an introductory chemical engineering course, the conceptual framework of a holistic problem-solving methodology in conjunction with a problem-based learning approach has been shown to create a learning environment that nurtures deep learning rather than surface learning. Based on exam scores, student grades are either the same or better than…
Descriptors: Chemical Engineering, Problem Solving, Teaching Methods, Problem Based Learning
Riek, L. D. – IEEE Transactions on Education, 2013
This paper describes a newly designed upper-level undergraduate and graduate course, Autonomous Mobile Robots. The course employs active, cooperative, problem-based learning and is grounded in the fundamental computational problems in mobile robotics defined by Dudek and Jenkin. Students receive a broad survey of robotics through lectures, weekly…
Descriptors: Robotics, Active Learning, Cooperative Learning, Problem Based Learning

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