Artificial intelligence (AI)-enabled remote learning and teaching using pedagogical conversational agents and learning analytics

Amara Atif, Meena Jha , Deborah Richards, Ayse A. Bilgin

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Citations (Scopus)

Abstract

Advancements in Artificial Intelligence (AI) have potentially created new ways to teach and learn, such as the use of Learning Analytics (LA) to monitor and support students using data captured in Learning Management Systems (LMS). To add human rather than data-based support, in this chapter, we present our use of AI-enabled Pedagogical Conversational Agents (CAs) over the past 12 months in multiple units/subjects across two universities. These CAs play a role similar to a teacher or peer learner by sharing the expertise they have acquired from the knowledge contained in student–teacher social interactions in LMS forums and grade book teacher feedback. Unlike teachers or peers, these CAs can be contacted anonymously at any time, they don’t mind being asked the same question repeatedly and they can empower students to explore options and outcomes. We conclude the chapter with a discussion of the potential of LA to automate CA interactions.
Original languageEnglish
Title of host publicationIntelligent systems and learning data analytics in online education
EditorsSanti Caballé, Stavros N. Demetriadis, Eduardo Gómez-Sánchez, Pantelis M. Papadopoulos, Armin Weinberger
Place of PublicationLondon, UK ; San Diego, US ; Cambridge, US ; Oxford, UK
PublisherElsevier
Chapter1
Pages3-29
Number of pages27
ISBN (Electronic)9780128231272
ISBN (Print)9780128234105
DOIs
Publication statusPublished - 2021

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