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Designing Blended Content Modules as Support to Traditional Face-to-Face Delivery: An Application to Data Analysis, Inferential Statistics, and Simulation Experiments Courses

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Conference

2019 ASEE Annual Conference & Exposition

Location

Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

Industrial Engineering Division Technical Session 1

Tagged Division

Industrial Engineering

Page Count

13

DOI

10.18260/1-2--32619

Permanent URL

https://peer.asee.org/32619

Download Count

137

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Paper Authors

biography

Leonardo Bedoya-Valencia Colorado State University, Pueblo

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Dr. Leonardo Bedoya-Valencia is an Associate Professor in the Department of Engineering at Colorado State University - Pueblo. He received his M.Sc. in System Engineering and his Ph.D. in Engineering Management from the National University of Colombia and Old Dominion University, Norfolk, VA, respectively. His research interest includes Scheduling, Operations Research and Modeling and Simulation in health care and energy planning. He has participated in several funded projects through various sources
such as NASA, the Department of Homeland Security, and the Colombian Research Institute. He also have several years of experience working as a consultant for Pharmaceutical and energy companies in the U. S. and Latin America.

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biography

Yaneth Correa-Martinez Colorado State University, Pueblo

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Hasan School of Business

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biography

Katherine Sofía Palacio Fundacion Universidad del Norte

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Education:
PhD in Engineering Management, May 2014 - Old Dominion University, Norfolk, VA. Master of Science in Industrial Engineering, September 2006 - Universidad del Norte, Barranquilla, Colombia. Bachelor of Science in Industrial Engineering, February 2002 -Universidad del Norte, Barranquilla, Colombia.
Research Areas:
Knowledge Management, Health Care Management, Education in Engineering.
Work Experience: Assistant Professor 2012 - Current. Chair Department, Universidad del Norte, Colombia, 2012 – 2015. Co-op Program Coordinator, College of Engineering, Universidad del Norte, Barranquilla Colombia. 2003-2006

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Luceny Guzman Acuña Universidad del Norte Orcid 16x16 orcid.org/0000-0002-4352-9874

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I am a professor in the department of industrial engineering at Universidad del Norte (Barranquilla, Colombia). I graduated in mathematics, with higher education in statistics. A master's degree in industrial engineering and a doctorate in the same area. In addition, I graduated in electrical engineering.
My areas of work are data analysis, optimization theory, game theory, optimization of renewable resources for power generation,

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Abstract

Due to the boom in technological innovations and the accessibility to web-assisted tools, blended instructional environments have dramatically increased the options for content delivery in nontraditional formats. While several questions have arisen regarding the benefits and pedagogical challenges of blended instructional models, the use of these environments has quickly spread across higher education. Programs have adopted blended learning environments mainly due to three reasons: 1) improved pedagogy, 2) increased access/flexibility, and 3) increased cost effectiveness. The Industrial Engineering Department at a large private university in Colombia and the Engineering Department and the School of Business at a regional comprehensive university in the United States have been transitioning and incorporating web-assisted tools into three courses. This work focuses on the designing, implementation, and assessment stages of blended modules containing theoretical content, common to all of the courses, in order to support Face-to-Face delivery. This paper presents the process of designing and assessing web-based modules to support the traditional Face-to- Face delivery of the theoretical aspects of two discrete and two continuous distributions. Both are core concepts to the Data Analysis and Simulation Experiments courses taught to juniors in the Bachelor of Science in Industrial Engineering (BSIE) and Inferential Statistics course taught to all sophomores in the School of Business. Once the concepts and theoretical aspects have been introduced to the students, the courses proceed to introduce diverse applications of the distributions into both manufacturing and service systems. Two of the main students’ complaints about the delivery of these concepts are the pace and scope of the Face-to-Face delivery. In this proposed blended format, students on all of the courses will be presented with the concepts and exercises about the mentioned statistical distributions, before the Face-to-Face session in a self-timed delivery mode. In order to assess if this blended format increases the understanding about both the discrete and continuous distributions, three control and three experimental groups will be evaluated. The control groups, one on each course, will not have access to the blended modules. Both set of groups will be evaluated and compared by using tests and homework assignments.

Bedoya-Valencia, L., & Correa-Martinez, Y., & Palacio, K. S., & Guzman Acuña, L. (2019, June), Designing Blended Content Modules as Support to Traditional Face-to-Face Delivery: An Application to Data Analysis, Inferential Statistics, and Simulation Experiments Courses Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32619

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