Student engagement with statistical design of experiments by active learning projects

2018 3rd International Conference of the Portuguese Society for Engineering Education (CISPEE)

2018

This paper describes how a curricular unit of Advanced Techniques for Quality was designed in the Quality and Environmental Engineering Master Course to satisfy the outcomes defined in the unit. This paper seeks to (1) explain the steps to take into consideration in the design of a curricular unit, (2) explain the outcomes related learning objectives of the specified curricular unit, (3) identify the instructional techniques that are used in the unit to prepare students to achieve those curricular unit outcomes, as well as the selected assessment methods and (4) describe how an active learning project is used as a teaching learning methodology to help the students to attain the learning outcomes defined in the unit.

Section: The Role Of the Curricular Unit Assessmentmentioning

confidence: 99%

Designing and Teaching a Curricular Unit to Accomplish the Outcomes Related Learning Objectives

Joao

2018 3rd International Conference of the Portuguese Society for Engineering Education (CISPEE)

2018

“…However, the application of DOE by chemical engineers in industry is quite limited due to the lack of statistical knowledge in experimental design techniques [23]. There are some examples concerning engineering students with statistical design of experiments by active learning projects [24].…”

Section: Low Order Thinkingmentioning

confidence: 99%

Designing Solutions by a Student Centred Approach: Integration of Chemical Process Simulation with Statistical Tools to Improve Distillation Systems

João

2017

Int. J. Eng. Ped.

Abstract-Projects thematically focused on simulation and statistical techniques for designing and optimizing chemical processes can be helpful in chemical engineering education in order to meet the needs of engineers. We argue for the relevance of the projects to improve a student centred approach and boost higher order thinking skills. This paper addresses the use of Aspen HYSYS by Portuguese chemical engineering master students to model distillation systems together with statistical experimental design techniques in order to optimize the systems highlighting the value of applying problem specific knowledge, simulation tools and sound statistical techniques. The paper summarizes the work developed by the students in order to model steady-state processes, dynamic processes and optimize the distillation systems emphasizing the benefits of the simulation tools and statistical techniques in helping the students learn how to learn. Students strengthened their domain specific knowledge and became motivated to rethink and improve chemical processes in their future chemical engineering profession. We discuss the main advantages of the methodology from the students' and teachers perspective.

“…Many engineers that perform OFAT experimentation fail to realize the advantages of statistically designing experiments until they use the approach and see the benefits of manipulate all the factors at a time and identify important interactions that may be missed when experimenting with one factor at a time [21,22]. There are some examples of student engagement with statistical design of experiments by active learning projects [23].…”

Section: Integrating Doe With Simulation By Aspen Hysys To Impromentioning

confidence: 99%

Designing experiments with Aspen HYSYS simulation to improve distillation systems: Insights from a chemical engineering course

Joao

2016 2nd International Conference of the Portuguese Society for Engineering Education (CISPEE)

2016

Abstract-Designing experiments by simulation with process simulators, e.g. Aspen HYSYS, can be very effective in the optimization of several chemical engineering systems. It is important to enhance students' skills highlighting the value of applying problem specific knowledge, simulation tools and sound statistical techniques. This paper addresses the use of Aspen HYSYS by Portuguese chemical engineering master students to model distillation systems together with statistical experimental design techniques in order to optimize the systems. The paper presents a procedure followed in two projects beginning with the selection of two case studies from the literature, which the goal is to further improve with the help of design of experiments. The paper presents the work developed by the students in order to model steady-state and dynamic processes and optimize the distillation systems emphasizing the benefits of the simulation tools and statistical techniques in helping the students learn how to learn. Students strengthened their domain specific knowledge and became motivated to rethink and improve chemical processes in their future chemical engineering profession. The main results and conclusions provide a strong incentive from the teachers´ perspective to a wider use of this kind of procedure by chemical engineering master students.