AI tools for enhancing student engagement

Title

AI tools for enhancing student engagement

Creator

Pandey, Vaibhav Kumar; Poonia, Ramesh Chandra

Description

Artificial Intelligence (AI) is revolutionizing the learning environment with adaptive technologies that offer new possibilities to engage, support, and empower learners. Throughout this chapter, we examine how AI technologies are transforming student engagement from the past to enable more personalized, responsive, and inclusive learning environments. From intelligent tutoring systems and adaptive learning systems to chatbots, game- based learning, and predictive analytics, AI offers teachers more and more tools to make behavioral, cognitive, and emotional connections with learners. Based on actual case studies of K- 12 and higher education, including DreamBox Learning and Civitas Learning, the chapter discusses real- world success with respectful consideration of the ethical, technical, and social issues of AI deployment. Issues from data privacy through algorithmic bias and student agency protection are discussed in detail. In the future, the chapter discusses briefly trends such as affective computing, AI- powered AR/VR environments, and human- AI collaboration construction for education's future. Rather than recommending AI as a replacement for teachers, the chapter argues for an equitable partnership-where AI as a system itself can be an effective collaborator to human teachers, enhancing their capacity to create rich learning environments. In the end, the chapter is appealing for an intentional, ethical, and equitable stance in adopting AI, so technology can be used in the name of education not only by facilitating engagement, but also in safeguarding human dignity, equity, and creativity. 2026, IGI Global Scientific Publishing. All rights reserved.

Source

AI Applications and Pedagogical Innovation;pp.201-230

Date

01-01-2025

Publisher

IGI Global

Coverage

Pandey V.K., Christ University, Delhi, India; Poonia R.C., Christ University, Delhi, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833735094-3; 979-833735092-9;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3373-5092-9.ch008

https://www.scopus.com/pages/publications/105013535380?origin=resultslist