Affordances for AI-Enhanced Digital Game-Based Learning

Margarida Romero; Petros Lameras; Sylvester Arnab

doi:10.1007/978-3-031-55272-4_9

Affordances for AI-Enhanced Digital Game-Based Learning

Margarida Romero
, Petros Lameras
, Sylvester Arnab

Université Côte d’Azur

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

6 Citations (Scopus)

129 Downloads (Pure)

Abstract

This chapter investigates the dynamic synergy between pedagogy, social dynamics, and technological developments in Digital Game-Based Learning (DGBL), which is enhanced by artificial intelligence (AI). The chapter navigates through educational modifications, learner profiling challenges, social enhancements, and technical considerations, emphasising AI's revolutionary influence. The topic expands on the critical interaction between learning analytics and machine learning, demonstrating AI's promise for personalised and adaptable DGBL experiences. The practical ramifications of real-time feedback in AI-driven DGBL are discussed, with the goal of providing timely instruction and encouraging positive behaviours. Finally, the chapter sheds light on the collaborative evolution of AI-enhanced education, providing useful insights for educators, instructional designers, and developers in creating optimised digital learning environments.

Original language	English
Title of host publication	Creative Applications of Artificial Intelligence in Education
Editors	Alex Urmeneta, Margarida Romero
Publisher	Palgrave Macmillan
Chapter	9
Pages	117-128
Number of pages	12
Edition	1
ISBN (Electronic)	978-3-031-55272-4
ISBN (Print)	978-3-031-55271-7, 978-3-031-55274-8
DOIs	https://doi.org/10.1007/978-3-031-55272-4_9
Publication status	Published - 19 May 2024

Publication series

Name	Palgrave Studies in Creativity and Culture
Publisher	Springer Link
ISSN (Print)	2755-4503
ISSN (Electronic)	2755-4511

Bibliographical note

This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Keywords

Artificial intelligence (AI)
Games
Game-Based Learning
learning analytics
AIED tools and applications
Affordances
Feedback
Learner modelling

Access to Document

10.1007/978-3-031-55272-4_9Licence: CC BY

Lameras2024VoRFinal published version, 516 KBLicence: CC BY
978-3-031-55272-4_9Final published version, 199 KBLicence: CC BY

Cite this

Affordances for AI-Enhanced Digital Game-Based Learning. / Romero, Margarida; Lameras, Petros ; Arnab, Sylvester.
Creative Applications of Artificial Intelligence in Education. ed. / Alex Urmeneta; Margarida Romero. 1. ed. Palgrave Macmillan, 2024. p. 117-128 (Palgrave Studies in Creativity and Culture).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AB - This chapter investigates the dynamic synergy between pedagogy, social dynamics, and technological developments in Digital Game-Based Learning (DGBL), which is enhanced by artificial intelligence (AI). The chapter navigates through educational modifications, learner profiling challenges, social enhancements, and technical considerations, emphasising AI's revolutionary influence. The topic expands on the critical interaction between learning analytics and machine learning, demonstrating AI's promise for personalised and adaptable DGBL experiences. The practical ramifications of real-time feedback in AI-driven DGBL are discussed, with the goal of providing timely instruction and encouraging positive behaviours. Finally, the chapter sheds light on the collaborative evolution of AI-enhanced education, providing useful insights for educators, instructional designers, and developers in creating optimised digital learning environments.

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Affordances for AI-Enhanced Digital Game-Based Learning

Abstract

Publication series

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Remixing AI-Generated Media playfully for education

XFORMS: XFORMS: Navigating Societal Adaptation Through Cultural Spaces and Cyberspaces for Democratic Expression

Cite this

Affordances for AI-Enhanced Digital Game-Based Learning

Abstract

Publication series

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Remixing AI-Generated Media playfully for education

XFORMS: XFORMS: Navigating Societal Adaptation Through Cultural Spaces and Cyberspaces for Democratic Expression

Cite this