JSET Spring 2022: Natural language processing based analytics dashboard for online learning platforms

One of the components of the Personalized Online Adaptive Learning System (POALS) is the Analytics Dashboard, which uses inputs from the Metacognitive Tutor to harvest implicit feedback from the learners. In this conference presentation, I discussed how we can use data outside the Metacognitive Tutor for the Analytics Dashboard.

New Analytics Dashboard

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Title: Natural language processing based analytics dashboard for online learning platforms
Authors: May Kristine Jonson Carlon, Jeffrey S. Cross
Date: March 19 to 20, 2022


The emergence of remote education and online platforms for massive open online courses (MOOCs) even before the COVID-19 pandemic has led to increased text data such as course materials and video transcripts related to online education. While there are several learning analytics dashboards currently existing in literature, those that focus on processing text data are far and few in between. A prototype for an instructor-facing learning analytics dashboard that uses text data for learners and instructors is presented in this work. Aside from finding use for an underutilized yet abundant resource, the problem of working with other online education tools is also addressed in this work. The learning analytics dashboard is not constricted to a particular subject area or population; thus, it can be applied to various fields and settings with minimal adjustment.