Sentiment Analysis of Semester Learning Essays in Design Education

Z. H. Wang; Z. J. Ming; G. X. Wang; F. Mistree; J. K. Allen

doi:10.1109/IEEM58616.2023.10406525

Sentiment Analysis of Semester Learning Essays in Design Education

Z. H. Wang, Z. J. Ming, G. X. Wang, F. Mistree, J. K. Allen

School of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

AME4163: Principles of Engineering Design is a design, build and test course offered at the University of Oklahoma, Norman, USA. Throughout the semester students are expected to reflect on authentic and immersive experiences and write Take-aways and Learning Statements. At the end of the semester each student submits a summative Semester Learning Essay. Between 2019-2021 we collected about 10,000 Take-aways and Learning Statements from the Semester Learning Essays of nearly 400 students. In this paper, we attempt to help instructors gain insight of what students have learned through these materials and thence improve the delivery of the course in the future. We analyze their Take-aways from summative Semester Learning Essays by using dictionary-based sentiment analysis to assess students' subjective feelings toward what they have learned. The results prove that we gain insight into their learning thereby providing instructors with evidence-based guidance on modifying the course from different perspectives. The method proposed is generalizable to courses that involve authentic immersive experiences.

Original language	English
Title of host publication	2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	567-571
Number of pages	5
ISBN (Electronic)	9798350323153
DOIs	https://doi.org/10.1109/IEEM58616.2023.10406525
Publication status	Published - 2023
Event	2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 - Singapore, Singapore Duration: 18 Dec 2023 → 21 Dec 2023

Publication series

Name	2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023

Conference

Conference	2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
Country/Territory	Singapore
City	Singapore
Period	18/12/23 → 21/12/23

Keywords

Assessment of learning
learning by reflecting on doing
sentiment analysis
summative assessment

Access to Document

10.1109/IEEM58616.2023.10406525

Cite this

Wang, Z. H., Ming, Z. J., Wang, G. X., Mistree, F., & Allen, J. K. (2023). Sentiment Analysis of Semester Learning Essays in Design Education. In 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 (pp. 567-571). (2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEM58616.2023.10406525

Wang, Z. H. ; Ming, Z. J. ; Wang, G. X. et al. / Sentiment Analysis of Semester Learning Essays in Design Education. 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 567-571 (2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023).

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title = "Sentiment Analysis of Semester Learning Essays in Design Education",

abstract = "AME4163: Principles of Engineering Design is a design, build and test course offered at the University of Oklahoma, Norman, USA. Throughout the semester students are expected to reflect on authentic and immersive experiences and write Take-aways and Learning Statements. At the end of the semester each student submits a summative Semester Learning Essay. Between 2019-2021 we collected about 10,000 Take-aways and Learning Statements from the Semester Learning Essays of nearly 400 students. In this paper, we attempt to help instructors gain insight of what students have learned through these materials and thence improve the delivery of the course in the future. We analyze their Take-aways from summative Semester Learning Essays by using dictionary-based sentiment analysis to assess students' subjective feelings toward what they have learned. The results prove that we gain insight into their learning thereby providing instructors with evidence-based guidance on modifying the course from different perspectives. The method proposed is generalizable to courses that involve authentic immersive experiences.",

keywords = "Assessment of learning, learning by reflecting on doing, sentiment analysis, summative assessment",

author = "Wang, \{Z. H.\} and Ming, \{Z. J.\} and Wang, \{G. X.\} and F. Mistree and Allen, \{J. K.\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 ; Conference date: 18-12-2023 Through 21-12-2023",

year = "2023",

doi = "10.1109/IEEM58616.2023.10406525",

language = "English",

series = "2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "567--571",

booktitle = "2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023",

address = "United States",

}

Wang, ZH, Ming, ZJ, Wang, GX, Mistree, F & Allen, JK 2023, Sentiment Analysis of Semester Learning Essays in Design Education. in 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023. 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023, Institute of Electrical and Electronics Engineers Inc., pp. 567-571, 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023, Singapore, Singapore, 18/12/23. https://doi.org/10.1109/IEEM58616.2023.10406525

Sentiment Analysis of Semester Learning Essays in Design Education. / Wang, Z. H.; Ming, Z. J.; Wang, G. X. et al.
2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 567-571 (2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Sentiment Analysis of Semester Learning Essays in Design Education

AU - Wang, Z. H.

AU - Ming, Z. J.

AU - Wang, G. X.

AU - Mistree, F.

AU - Allen, J. K.

PY - 2023

Y1 - 2023

N2 - AME4163: Principles of Engineering Design is a design, build and test course offered at the University of Oklahoma, Norman, USA. Throughout the semester students are expected to reflect on authentic and immersive experiences and write Take-aways and Learning Statements. At the end of the semester each student submits a summative Semester Learning Essay. Between 2019-2021 we collected about 10,000 Take-aways and Learning Statements from the Semester Learning Essays of nearly 400 students. In this paper, we attempt to help instructors gain insight of what students have learned through these materials and thence improve the delivery of the course in the future. We analyze their Take-aways from summative Semester Learning Essays by using dictionary-based sentiment analysis to assess students' subjective feelings toward what they have learned. The results prove that we gain insight into their learning thereby providing instructors with evidence-based guidance on modifying the course from different perspectives. The method proposed is generalizable to courses that involve authentic immersive experiences.

AB - AME4163: Principles of Engineering Design is a design, build and test course offered at the University of Oklahoma, Norman, USA. Throughout the semester students are expected to reflect on authentic and immersive experiences and write Take-aways and Learning Statements. At the end of the semester each student submits a summative Semester Learning Essay. Between 2019-2021 we collected about 10,000 Take-aways and Learning Statements from the Semester Learning Essays of nearly 400 students. In this paper, we attempt to help instructors gain insight of what students have learned through these materials and thence improve the delivery of the course in the future. We analyze their Take-aways from summative Semester Learning Essays by using dictionary-based sentiment analysis to assess students' subjective feelings toward what they have learned. The results prove that we gain insight into their learning thereby providing instructors with evidence-based guidance on modifying the course from different perspectives. The method proposed is generalizable to courses that involve authentic immersive experiences.

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KW - learning by reflecting on doing

KW - sentiment analysis

KW - summative assessment

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ER -

Wang ZH, Ming ZJ, Wang GX, Mistree F, Allen JK. Sentiment Analysis of Semester Learning Essays in Design Education. In 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 567-571. (2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023). doi: 10.1109/IEEM58616.2023.10406525

Sentiment Analysis of Semester Learning Essays in Design Education

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