Modeling student satisfaction and implementation of the I-C-D method to improve the industrial engineering undergraduate course experience

Paul C. Lynch, Cynthia Bober, Joseph Wilck

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

This paper discusses the results of a study performed at the Pennsylvania State University to identify and implement the significant factors of student satisfaction and motivation within the industrial engineering undergraduate classroom. Building on another study performed at the Pennsylvania State University, the three overarching factors influencing student satisfaction and motivation were found and further analyzed. This study defined the specific factors of Instructor Interaction and Feedback, Classroom Environment, and Modes of Instruction that were modeled to create a statistically significant model. By creating a model of significance, instructors will be able to have a concise and easy implementation plan to improve student satisfaction and motivation in the classroom, creating a better educational experience for both the students and the instructor. Once the factors that most significantly influence student motivation and satisfaction were identified, an implementation model was created and tested. The "Interact, Cultivate, and Deliver" method, also known as the "I-C-D" method, implements the eleven significant factors found across the three ordinal logistic regression models in a succinct manner for instructors. A pilot study of this method was implemented into an IE classroom and it was found that when the significant factors were implemented into the classroom, the satisfaction and motivation were significantly better than respective predicted values.

Original languageEnglish (US)
StatePublished - Jun 26 2016
Event123rd ASEE Annual Conference and Exposition - New Orleans, United States
Duration: Jun 26 2016Jun 29 2016

Other

Other123rd ASEE Annual Conference and Exposition
CountryUnited States
CityNew Orleans
Period6/26/166/29/16

Fingerprint

Industrial engineering
Students
Logistics
Feedback

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Lynch, P. C., Bober, C., & Wilck, J. (2016). Modeling student satisfaction and implementation of the I-C-D method to improve the industrial engineering undergraduate course experience. Paper presented at 123rd ASEE Annual Conference and Exposition, New Orleans, United States.
Lynch, Paul C. ; Bober, Cynthia ; Wilck, Joseph. / Modeling student satisfaction and implementation of the I-C-D method to improve the industrial engineering undergraduate course experience. Paper presented at 123rd ASEE Annual Conference and Exposition, New Orleans, United States.
@conference{98bdf8619b7c42da8df9e3f7d9699612,
title = "Modeling student satisfaction and implementation of the I-C-D method to improve the industrial engineering undergraduate course experience",
abstract = "This paper discusses the results of a study performed at the Pennsylvania State University to identify and implement the significant factors of student satisfaction and motivation within the industrial engineering undergraduate classroom. Building on another study performed at the Pennsylvania State University, the three overarching factors influencing student satisfaction and motivation were found and further analyzed. This study defined the specific factors of Instructor Interaction and Feedback, Classroom Environment, and Modes of Instruction that were modeled to create a statistically significant model. By creating a model of significance, instructors will be able to have a concise and easy implementation plan to improve student satisfaction and motivation in the classroom, creating a better educational experience for both the students and the instructor. Once the factors that most significantly influence student motivation and satisfaction were identified, an implementation model was created and tested. The {"}Interact, Cultivate, and Deliver{"} method, also known as the {"}I-C-D{"} method, implements the eleven significant factors found across the three ordinal logistic regression models in a succinct manner for instructors. A pilot study of this method was implemented into an IE classroom and it was found that when the significant factors were implemented into the classroom, the satisfaction and motivation were significantly better than respective predicted values.",
author = "Lynch, {Paul C.} and Cynthia Bober and Joseph Wilck",
year = "2016",
month = "6",
day = "26",
language = "English (US)",
note = "123rd ASEE Annual Conference and Exposition ; Conference date: 26-06-2016 Through 29-06-2016",

}

Lynch, PC, Bober, C & Wilck, J 2016, 'Modeling student satisfaction and implementation of the I-C-D method to improve the industrial engineering undergraduate course experience', Paper presented at 123rd ASEE Annual Conference and Exposition, New Orleans, United States, 6/26/16 - 6/29/16.

Modeling student satisfaction and implementation of the I-C-D method to improve the industrial engineering undergraduate course experience. / Lynch, Paul C.; Bober, Cynthia; Wilck, Joseph.

2016. Paper presented at 123rd ASEE Annual Conference and Exposition, New Orleans, United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Modeling student satisfaction and implementation of the I-C-D method to improve the industrial engineering undergraduate course experience

AU - Lynch, Paul C.

AU - Bober, Cynthia

AU - Wilck, Joseph

PY - 2016/6/26

Y1 - 2016/6/26

N2 - This paper discusses the results of a study performed at the Pennsylvania State University to identify and implement the significant factors of student satisfaction and motivation within the industrial engineering undergraduate classroom. Building on another study performed at the Pennsylvania State University, the three overarching factors influencing student satisfaction and motivation were found and further analyzed. This study defined the specific factors of Instructor Interaction and Feedback, Classroom Environment, and Modes of Instruction that were modeled to create a statistically significant model. By creating a model of significance, instructors will be able to have a concise and easy implementation plan to improve student satisfaction and motivation in the classroom, creating a better educational experience for both the students and the instructor. Once the factors that most significantly influence student motivation and satisfaction were identified, an implementation model was created and tested. The "Interact, Cultivate, and Deliver" method, also known as the "I-C-D" method, implements the eleven significant factors found across the three ordinal logistic regression models in a succinct manner for instructors. A pilot study of this method was implemented into an IE classroom and it was found that when the significant factors were implemented into the classroom, the satisfaction and motivation were significantly better than respective predicted values.

AB - This paper discusses the results of a study performed at the Pennsylvania State University to identify and implement the significant factors of student satisfaction and motivation within the industrial engineering undergraduate classroom. Building on another study performed at the Pennsylvania State University, the three overarching factors influencing student satisfaction and motivation were found and further analyzed. This study defined the specific factors of Instructor Interaction and Feedback, Classroom Environment, and Modes of Instruction that were modeled to create a statistically significant model. By creating a model of significance, instructors will be able to have a concise and easy implementation plan to improve student satisfaction and motivation in the classroom, creating a better educational experience for both the students and the instructor. Once the factors that most significantly influence student motivation and satisfaction were identified, an implementation model was created and tested. The "Interact, Cultivate, and Deliver" method, also known as the "I-C-D" method, implements the eleven significant factors found across the three ordinal logistic regression models in a succinct manner for instructors. A pilot study of this method was implemented into an IE classroom and it was found that when the significant factors were implemented into the classroom, the satisfaction and motivation were significantly better than respective predicted values.

UR - http://www.scopus.com/inward/record.url?scp=84983339495&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84983339495&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84983339495

ER -

Lynch PC, Bober C, Wilck J. Modeling student satisfaction and implementation of the I-C-D method to improve the industrial engineering undergraduate course experience. 2016. Paper presented at 123rd ASEE Annual Conference and Exposition, New Orleans, United States.