Using Active And Cooperative Learning In Industrial Engineering Education
Author(s) -
Manuel D. Rossetti,
Harriet Black Nembhard
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--8805
Subject(s) - active learning (machine learning) , cooperative learning , premise , computer science , class (philosophy) , engineering education , quality (philosophy) , mathematics education , work (physics) , teaching method , artificial intelligence , engineering management , engineering , mathematics , mechanical engineering , linguistics , philosophy , epistemology
Active and cooperative learning methods recognize that the passive model of the typical college lecture does not work for many students. Instead, active and cooperative learning focuses on the premise that the students can learn best by doing and working with each other. In traditionally structured class periods, students listen to a professor lecture for about an hour. Cooperative learning can replace some of that lecture time with methods designed to get students actively involved during the class period. This paper presents the use of active and cooperative learning techniques applied in Industrial Engineering education. Tips and examples for how to transform a standard lecture into a lecture based on cooperative exercises are given and the authors’ experiences with these techniques are detailed. Examples include material from simulation, quality engineering, engineering economy, probability and statistics, database modeling, and project management.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom