The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Empowering Educators for the AI-Driven Classroom: Strategies for Training and Professional Development
Abstract
Teachers' roles are changing quickly as artificial intelligence continues to change the educational landscape. Teachers must now use AI-powered tools that automate exams, personalise learning, and offer data-driven insights. They are no longer limited to using traditional teaching approaches. Although artificial intelligence (AI) has enormous potential to improve teaching and learning, its successful implementation in classrooms depends on one crucial element: teachers' readiness. The chapter examines the pressing need for professional growth and organised teacher training in order to give teachers the abilities, self-assurance, and ethical awareness needed for teaching with AI. This chapter offers guidance for instructors to become flexible, introspective, and creative facilitators in the era of artificial intelligence by looking at important competencies, professional learning models, and real-world issues.
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.
|
|
|