Title: Designing Technology for Online Degree-Seeking Courses

Dates: Friday, September 15, 2023

Time: 9:00-11:00 Eastern

Location: GVU Cafe teams

India Irish

PhD Candidate in Human-Centered Computing
School of Interactive Computing
Georgia Institute of Technology

Committee:

Dr. Thad Starner (Co-Advisor), School of Interactive Computing, Georgia Institute of Technology

Dr. Rosa Arriaga (Co-Advisor), School of Interactive Computing, Georgia Institute of Technology

Dr. Charles Isbell, School of Interactive Computing, Georgia Institute of Technology

Dr. Ashok Goel,  School of Interactive Computing, Georgia Institute of Technology

Dr. David Joyner,  School of Interactive Computing, Georgia Institute of Technology

Dr. Jeonghyun Lee, Center for 21st Century Universities, Georgia Institute of Technology

Abstract: 

The rapid growth in interest in online classrooms has required institutions to consider developing tools to help facilitate large student enrollment. For example, Georgia Institute of Technology offers an online Master’s degree in Computer Science at a fraction of the cost of the same on-campus degree program. Students enrolled in online degree programs have certain expectations, including (1) access to efficient tools that help to create a supportive online learning environment, (2) instructors who provide timely feedback to enhance students’ learning experiences, and (3) policies and guidelines that promote academic integrity to maintain the university's reputation and prestige. However, these expectations are quite challenging to implement in online degree-seeking programs. 

One way to address these challenges is to design, develop, and evaluate intelligent systems in online courses with large student enrollments. This dissertation shows that intelligent systems integrated into online degree-seeking programs promote engagement and integrity between stakeholders. Using a mixed-methods approach, this research examines students’ and TAs’ perceptions of and interactions with recommendation systems in online discussion forums. Providing a design contribution to the field of Human-Computer Interaction, this dissertation lays the groundwork for leveraging educational frameworks to build recommendation systems that support instructor-student interactions in online forums.  In addition, this work investigates the impact of homework-for-hire contractors on maintaining academic integrity in online environments and identifies how intelligent systems can be created to reduce students’ ability to engage in academic misconduct on third-party websites.

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