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What is Auto-Tutor

Socioeconomic Inclusion During an Era of Online Education
A teaching machine developed by Norman Crowder that provides subject content, tests the user, gives feedback, and then branches to corrective instruction or new information based on the outcome.
Published in Chapter:
Advancing Equity in Digital Classrooms: A Personalized Learning Framework for Higher Education Institutions
Lakshmi Shankar Iyer (Christ University, India), Sonika Bharadwaj (Christ University, India), Shilpa H. Shetty (Christ University, India), Vertika Verma (Christ University, India), and Malmarugan Devanathan (Christ University, India)
Copyright: © 2022 |Pages: 21
DOI: 10.4018/978-1-6684-4364-4.ch011
Abstract
Since the introduction of technology-enabled education systems, personalizing the learning process has become more regarded as a promising methodology for revolutionizing the academe. Acknowledging the difference in the learning capability of students across various levels of the academic segment, a personalized learning approach is of paramount importance, especially when teachers cannot efficiently monitor each student (e.g., during emergency remote education). This chapter focused on the necessity for higher education institutions that offer courses from various streams to adopt a personalized learning initiative as a means of offering better online education services. For the successful creation of a personalized online learning experience, this chapter likewise developed a framework that provides a step-by-step guide to educational institutions in moving in this direction. As online education is a trend for future learning, this blueprint could be valuable as well in the post-pandemic era.
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