NDLI: Evaluating metrics for automatic mind map assessment in various classes

Content Provider	IEEE Xplore Digital Library
Author	Franklin, A. Tuo Li Jamieson, P. Semlak, J. Vanderbush, W.
Copyright Year	2015
Description	Author affiliation: Dept. of Political Sci., Miami Univ., Oxford, OH, USA (Vanderbush, W.) \|\| Dept. of Electr. & Comput. Eng., Miami Univ. Oxford, Oxford, OH, USA (Tuo Li) \|\| Dept. of Electr. & Comput. Eng., Miami Univ., Oxford, OH, USA (Jamieson, P.) \|\| Dept. of Media, Journalism, & Film, Miami Univ., Oxford, OH, USA (Semlak, J.) \|\| Dept. of Speech Pathology & Audiology, Miami Univ., Oxford, OH, USA (Franklin, A.)
Abstract	Over the past three years, we have been studying how automated evaluation of student mind maps (when compared to an expert map) shows student learning for a variety of metrics. The goal of this work is to build a system that would then allow students to evaluate their understanding of the terminology in a respective field. The weakness of our studies, so far, is that our focus group to study these metrics consists of a single course in the field of Computer Engineering, and though this class has been used over multiple years to demonstrate the feasibility of our approach in a longitudinal study, a broader study needs to be done. In this work, we show how our current metrics perform across three additional fields; specifically, we have collaborated with instructors in speech pathology, communications, and political science (in addition to our traditional class in computer engineering). We then use our methodology to determine if these courses and a term long mind map exercise have similar results than previously reported and are these results evidence of student learning. Our results show that our existing metrics have similar results for one of the three new courses. However, in the two other courses, the data shows no evidence of learning based on the mind map exercise. Each of the instructors of these courses describes their experience with the activity. Additionally, we evaluate the construction of the expert maps in each course to understand if there is a graph-based structural reason why we the results might be different. We conclude by suggesting our methodology is good for courses where terminology is clearly defined and is used and studied throughout the semester, and describe some future directions for this research.
Starting Page	1
Ending Page	8
File Size	711066
Page Count	8
File Format	PDF
ISBN	9781479984541
DOI	10.1109/FIE.2015.7344283
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Vocabulary Computers Speech Electronic mail Pathology Terminology
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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