Accelerating Higher Education Transformation: Simulation-Based Training and AI Coaching for Educators-in-Training

Document Type

Conference Proceeding

Publication Date

1-1-2024

Abstract

As the world undergoes remarkable transformations powered by Artificial Intelligence, the challenge arises for educational systems and institutions to adapt. How can we adequately equip educators-in-training to flourish in unprecedented change? The emergence of flexible, hybrid, and socially engaged learning environments has created a need for effective training methodologies that empower educators-in-training to thrive in this new paradigm. Higher education institutions need to expand aspiring educators’ human and professional potential amidst accelerating change, in line with the clarion call of the Sustainable Development Goal 4 Quality Education “By 2030, substantially increase the supply of qualified teachers, including through international cooperation for teacher training in developing countries, especially least developed countries and small island developing States” [1]. Simulation-based training coupled with Artificial Intelligence offers a solution to equip educators with the necessary skills and competencies to navigate complex real-world educational settings to succeed in classrooms of the 21st century. Simulation-based training allows educators-in-training to develop their skills and build confidence in their abilities to effectively engage with students in multifaceted classroom environments by providing a safe and controlled space for experimentation and practice. In conclusion, this paper and presentation explore the shifting teaching paradigms in higher education using simSchool and Mursion simulation platforms as examples and examine inclusive and dynamic practices that promote sustainable systems change in line with SDG 4. Quality Education, supporting educators-in-training by identifying strengths and encouraging personal and professional growth through AI feedback loops and faculty coaching.

Identifier

85199138313 (Scopus)

ISBN

[9783031519789]

Publication Title

Lecture Notes in Networks and Systems

External Full Text Location

https://doi.org/10.1007/978-3-031-51979-6_55

e-ISSN

23673389

ISSN

23673370

First Page

532

Last Page

541

Volume

899 LNNS

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