IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Empowering STEM Education: Harnessing MagicSchool AI for Experiential Learning

Empowering STEM Education: Harnessing MagicSchool AI for Experiential Learning
View Sample PDF
Author(s): Michaine S. Ashley (Texas Woman's University, Denton, USA)
Copyright: 2026
Pages: 58
Source title: Harnessing AI's Potential to Support Student Success and Teaching Excellence
Source Author(s)/Editor(s): Juan J. Araujo (Texas Woman's University, USA)and Sharla Snider (Texas Woman's University, USA)
DOI: 10.4018/979-8-3373-1122-7.ch003

Purchase

View Empowering STEM Education: Harnessing MagicSchool AI for Experiential Learning on the publisher's website for pricing and purchasing information.

Abstract

This chapter explores the transformative role of Artificial Intelligence (AI) in enhancing STEM education through experiential learning, with a focus on the innovative MagicSchool AI platform. It examines how AI-powered tools streamline teacher productivity by automating administrative tasks, generating personalized lesson plans, and creating interactive, standards-aligned content. The chapter highlights AI's capacity to personalize learning by analyzing student data to address individual needs, while also promoting student engagement through gamification, real-time feedback, and adaptive learning systems. MagicSchool AI's unique multi-model approach and specialized tools empower educators to design immersive project-based learning experiences that connect academic concepts to real-world challenges. By integrating AI with experiential learning principles, this chapter illustrates how educators can foster critical thinking, collaboration, and innovation in K-12 STEM classrooms.

Related Content

Frederic Andres. © 2027. 14 pages.
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar. © 2027. 27 pages.
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran. © 2027. 24 pages.
Swetha Margaret T. A., Renuka Devi D.. © 2027. 31 pages.
Maurice Saluschke, Michael Schulz. © 2027. 30 pages.
Mirjam Sepesy Maučec, Gregor Donaj. © 2027. 16 pages.
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo. © 2027. 21 pages.
Body Bottom