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EML Indices to Assess Student Learning through Integrated e-Learning Modules

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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

Entrepreneurship & Engineering Innovation Division Technical Session 7

Tagged Division

Entrepreneurship & Engineering Innovation

Tagged Topic

Diversity

Page Count

23

Permanent URL

https://peer.asee.org/32704

Download Count

3

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Paper Authors

biography

Ronald S. Harichandran University of New Haven

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Ron Harichandran is Dean of the Tagliatela College of Engineering and is the PI of four grants related to the development of an entrepreneurial mindset in students by utilizing integrated e-learning modules and experiential learning opportunities. Through these grant entrepreneurial thinking is being integrated into courses spanning all four years in seven ABET accredited engineering and computer science BS programs, and 75 engineering and computer science faculty at 53 other universities were trained and deployed modules in their courses.

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Nadiye O. Erdil University of New Haven

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Nadiye O. Erdil, an assistant professor of industrial and systems engineering and engineering and operations management at the University of New Haven. She has over eleven years of experience in higher education and has held several academic positions including administrative appointments. She has experience in teaching at the undergraduate and the graduate level. In addition to her academic work, Dr. Erdil worked as an engineer in sheet metal manufacturing and pipe fabrication industry for five years. She holds B.S. in Computer Engineering, M.S. in Industrial Engineering. She received her Ph.D. in Industrial and Systems Engineering from Binghamton University (SUNY). Her background and research interests are in quality and productivity improvement using statistical tools, lean methods and use of information technology in operations management. Her work is primarily in manufacturing and healthcare delivery operations.

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Maria-Isabel Carnasciali University of New Haven Orcid 16x16 orcid.org/https://0000-0001-5887-0744

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Maria-Isabel Carnasciali is Chair of the Engineering and Applied Science Education Department at the Tagliatela College of Engineering, University of New Haven, CT. She is also an Associate Professor of Mechanical Engineering in the Department of Mechanical & Industrial Engineering. She obtained her Ph.D. in Mechanical Engineering from Georgia Tech. She received her Bachelors of Engineering from MIT. Her research focuses on the nontraditional engineering student – understanding their motivations, identity development, and impact of prior engineering-related experiences. Her work dwells into learning in informal settings such as summer camps, military experiences, and extra-curricular activities. Other research interests involve validation of CFD models for aerospace applications as well as optimizing efficiency of thermal-fluid systems.

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Cheryl Q. Li University of New Haven

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Cheryl Qing Li joined University of New Haven in the fall of 2011, where she is an Associate Professor of Mechanical Engineering. Cheryl earned her first Ph.D. in Mechanical Engineering from National University of Singapore in 1997. She served as Assistant Professor and subsequently Associate Professor in Mechatronics Engineering at University of Adelaide, Australia, and Nanyang Technological University, Singapore, respectively. In 2006, she resigned from her faculty job and came to Connecticut for family reunion. Throughout her academic career in Australia and Singapore, she had developed a very strong interest in learning psychology and educational measurement. She then opted for a second Ph.D. in Educational Psychology, specialized in Psychometrics at University of Connecticut. She earned her second Ph.D. in 2010.

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Jean Nocito-Gobel University of New Haven

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Jean Nocito-Gobel, Professor of Civil & Environmental Engineering at the University of New Haven, received her Ph.D. from the University of Massachusetts, Amherst. She has been actively involved in a number of educational initiatives in the Tagliatela College of Engineering including KEEN and PITCH, PI of the ASPIRE grant, and is the coordinator for the first-year Intro to Engineering course. Her professional interests include modeling the transport and fate of contaminants in groundwater and surface water systems, as well as engineering education reform.

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Aadityasinh Rana University of New Haven

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Aadityasinh Rana is a graduate student currently pursuing his Master's in Industrial Engineering at the University of New Haven. He has received a bachelor's degree in Mechanical Engineering from Navrachana University, India. His current research focuses on assessing student learning to develop an Entrepreneurial Mindset via a learning index.

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Abstract

The University of New Haven has facilitated the development and integration of e-learning modules on entrepreneurial topics into regular engineering and computer science courses. In addition to faculty at the University of New Haven, over three years 77 faculty at 53 other universities in the US have also integrated these modules into their courses. Starting in fall 2017, rubrics were developed so that student work related to topics covered in the modules could be assessed directly by instructors. Topics covered by each module were also mapped to learning outcomes published in the KEEN Framework [1]. An Entrepreneurial Minded Learning (EML) Index is proposed to quantify how well students attain each learning outcome in the KEEN Framework through completion of a given e-learning module and the related contextual activities developed by instructors for the courses into which the module was integrated.

The EML Index is computed for each learning outcome in the KEEN Framework for seven e-learning modules deployed by 1-8 faculty at various universities. Results from multiple offerings of the same module are compared to assess how well the different deployments worked. An EML Effectiveness Index is proposed to quantify the effectiveness of a particular deployment in enabling students to achieve each learning outcome. The EML Effectiveness Index is useful for identifying faculty and courses that need attention in order to improve module deployments.

By completing several e-learning modules in different courses, students can successfully attain many of the learning outcomes in the KEEN Framework. A comprehensive EML Index is proposed to quantify student achievement of each learning outcome from completing multiple e-learning modules integrated into different courses. This comprehensive index is computed for students at the University of New Haven who do take several courses in which the e-learning modules are integrated.

This paper refines preliminary ideas on the EML Index presented by the authors previously and presents data from a broad set of e-learning module deployments.

References

1. Kern Entrepreneurial Education Network (KEEN) (2016). Mindset + skillset: Education in tandem. Retrieved from https://engineeringunleashed.com/Mindset-Matters/Framework.aspx

Harichandran, R. S., & Erdil, N. O., & Carnasciali, M., & Li, C. Q., & Nocito-Gobel, J., & Rana, A. (2019, June), EML Indices to Assess Student Learning through Integrated e-Learning Modules Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. https://peer.asee.org/32704

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