Real-Time Cognitive Evaluation of Online Learners through Automatically Generated Questions

TL;DR

This paper introduces an automated question generation system from video lectures to assess learners' cognitive abilities in real-time, enhancing engagement and reducing instructor workload.

Contribution

It presents a novel method for automatically generating and evaluating questions from video lectures to monitor learner comprehension dynamically.

Findings

Automated question generation from video lectures is feasible.

The system evaluates learner responses and provides immediate feedback.

It reduces instructor effort in assessment creation.

Abstract

With the increased adoption of E-learning platforms, keeping online learners engaged throughout a lesson is challenging. One approach to tackle this challenge is to probe learn-ers periodically by asking questions. The paper presents an approach to generate questions from a given video lecture automatically. The generated questions are aimed to evaluate learners' lower-level cognitive abilities. The approach automatically extracts text from video lectures to generates wh-kinds of questions. When learners respond with an answer, the proposed approach further evaluates the response and provides feedback. Besides enhancing learner's engagement, this approach's main benefits are that it frees instructors from design-ing questions to check the comprehension of a topic. Thus, instructors can spend this time productively on other activities.