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University of Toledo

1. Penumatsa, Anil Varma, Penumatsa. The impact of learning analytics and badges in providing immediate detailed feedback through dashboard on students' performance.

Degree: MS, Engineering (Computer Science), 2019, University of Toledo

The topic of instructional feedback to residents is an under-researched area in medical education. As the demand for feedback in educational information on the progress of learners continues to grow, the need for delivering effective feedback quickly and accurately becomes of great importance. Over the years, the paper-based techniques have been used for feedback. This method delivers feedback in indefinite time. Meanwhile, the residents undergo further evaluations and they often provide an incomplete picture of the students' whole performance. Therefore, paper evaluations are frustrating and place a heavy burden on instructors to track students' progress within the training program. Hence, the web-based instant feedback techniques play a prominent role to deliver the progress to the students. This thesis proposes a two-tier cloud-based web model-view-controller (MVC) architecture as a proof-of-concept, which allows the instructors to submit the feedback and the students to check their progress instantaneously in the web browser. This is accomplished by developing an MVC architecture with a web-based called ``Centralized Anesthesia Resident Achievement Tracking System (CARATS)". It is an online platform for medical faculty members to submit the feedback on multiple areas of resident's performance including daily performance, oral presentations, and simulation sessions. Additionally, this system compiles case numbers as logged by the residents into the ACGME system. All data entered into the system are displayed on a dashboard in a pertinent graphical format for both the residents and instructors. The web-based system offers several advantages over traditional feedback mechanisms. First, it allows the instructors to easily submit daily feedback on the resident's performance and makes such data immediately available to the students via the dashboard so that corrective measures can be taken immediately, rather than a month later. Second, by aggregating and integrating performance in multiple areas of residency in one place and providing an insightful overall score, it allows the students' and instructors to more easily track the progress throughout the training. Advisors/Committee Members: Stroud, Jason (Committee Co-Chair), Devabhaktuni, Vijayakumar (Committee Chair).

Subjects/Keywords: Education; Engineering; Health Education; Higher Education; Information Technology

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APA (6th Edition):

Penumatsa, Anil Varma, P. (2019). The impact of learning analytics and badges in providing immediate detailed feedback through dashboard on students' performance. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1541673888886295

Chicago Manual of Style (16th Edition):

Penumatsa, Anil Varma, Penumatsa. “The impact of learning analytics and badges in providing immediate detailed feedback through dashboard on students' performance.” 2019. Masters Thesis, University of Toledo. Accessed September 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1541673888886295.

MLA Handbook (7th Edition):

Penumatsa, Anil Varma, Penumatsa. “The impact of learning analytics and badges in providing immediate detailed feedback through dashboard on students' performance.” 2019. Web. 19 Sep 2019.

Vancouver:

Penumatsa, Anil Varma P. The impact of learning analytics and badges in providing immediate detailed feedback through dashboard on students' performance. [Internet] [Masters thesis]. University of Toledo; 2019. [cited 2019 Sep 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1541673888886295.

Council of Science Editors:

Penumatsa, Anil Varma P. The impact of learning analytics and badges in providing immediate detailed feedback through dashboard on students' performance. [Masters Thesis]. University of Toledo; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1541673888886295

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