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UrvashiDesai-Thesis.pdf (4.52 MB)

ETD Abstract Container

Abstract Header

Student Interaction Network Analysis on Canvas LMS

Desai, Urvashi
http://orcid.org/0000-0002-6746-0269
http://rave.ohiolink.edu/etdc/view?acc_num=miami1588339724934746

Abstract Details

2020, Master of Computer Science, Miami University, Computer Science and Software Engineering.
Network analysis techniques help investigate the significance of nodes/actors that play central roles where the nodes represent people, and the links represent the communication between them. This thesis analyzes how collaboration helps students' learning process and proposes a tool that could be integrated with Canvas to analyze student discussion data. To begin, we analyzed data collected from online student discussions on Canvas, in a Level-1 Programming course. These discussion topics were classified into classroom experiences/learning, question/answers, opinions, and comments. Modeling of the patterns of discussion board interactions as networks and applying various node-based network measures helped to unravel the similarities of student interaction patterns, and gain insights into their progress in the course. The experimental analyses include finding the most challenging/debated topics in the course, analyzing the leadership and team-based qualities, and analyzing trends in student participation. The results of the study reveal that participation in online discussion forums has a positive impact on the students' grades. In summary, the inferences drawn from this research can help instructors understand the student learning behaviors/patterns and guide the development of better pedagogical approaches that benefit students to overcome the common misconceptions that they confront in the course concepts.
Vijayalakshmi Ramasamy (Advisor)
James Kiper (Committee Member)
Hakam Alomari (Committee Member)
64 p.
Computer Science; Education
graph mining, student interaction, social network analysis, keyword extraction, sentiment analysis, tool development

Recommended Citations

Citations

  • Desai, U. (2020). Student Interaction Network Analysis on Canvas LMS [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1588339724934746

    APA Style (7th edition)

  • Desai, Urvashi. Student Interaction Network Analysis on Canvas LMS . 2020. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1588339724934746.

    MLA Style (8th edition)

  • Desai, Urvashi. "Student Interaction Network Analysis on Canvas LMS ." Master's thesis, Miami University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1588339724934746

    Chicago Manual of Style (17th edition)

miami1588339724934746
1,447
© 2020, some rights reserved.Creative Commons License Student Interaction Network Analysis on Canvas LMS by Urvashi Desai is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Miami University and OhioLINK.