A Framework for Textbook Enhancement and Learning using Crowdsourced Annotations
Anamika Chhabra, S. R. S. Iyengar, Poonam Saini, Rajesh Shreedhar Bhat

TL;DR
This paper introduces a crowdsourced annotation platform called CAS that enables students, instructors, and authors to collaboratively improve educational content through in-context annotations, enhancing learning and content quality.
Contribution
The paper presents a novel crowdsourced annotation system that facilitates iterative content improvement and student engagement through in-context annotations and community collaboration.
Findings
Students found CAS highly useful for learning.
Participants expressed willingness to use CAS for future learning.
Experiment showed positive satisfaction and engagement with the system.
Abstract
Despite a significant improvement in the educational aids in terms of effective teaching-learning process, most of the educational content available to the students is less than optimal in the context of being up-to-date, exhaustive and easy-to-understand. There is a need to iteratively improve the educational material based on the feedback collected from the students' learning experience. This can be achieved by observing the students' interactions with the content, and then having the authors modify it based on this feedback. Hence, we aim to facilitate and promote communication between the communities of authors, instructors and students in order to gradually improve the educational material. Such a system will also help in students' learning process by encouraging student-to-student teaching. Underpinning these objectives, we provide the framework of a platform named Crowdsourced…
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Taxonomy
TopicsOnline and Blended Learning · Online Learning and Analytics · Wikis in Education and Collaboration
