AHCI RESEARCH GROUP

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2024

Brahimi, T.; Sarirete, A.

Transforming learning in STEAM: How AI tools and language models catalyze educational advancement Book Section

In: Transformative Leadership and Sustainable Innovation in Education: Interdisciplinary Perspectives, pp. 39–58, Emerald Group Publishing Ltd., 2024, ISBN: 978-183753536-1 (ISBN); 978-183753537-8 (ISBN).

Abstract | Links | BibTeX | Tags: Accelerated learning, Constructionism, GPT, STEAM education, Technology-enhanced learning, Transformative learning

@incollection{brahimi_transforming_2024,

title = {Transforming learning in STEAM: How AI tools and language models catalyze educational advancement},

author = {T. Brahimi and A. Sarirete},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197147759&doi=10.1108%2f978-1-83753-536-120241004&partnerID=40&md5=3d8d94a5aec57acc55d065792f037d3d},

doi = {10.1108/978-1-83753-536-120241004},

isbn = {978-183753536-1 (ISBN); 978-183753537-8 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Transformative Leadership and Sustainable Innovation in Education: Interdisciplinary Perspectives},

pages = {39–58},

publisher = {Emerald Group Publishing Ltd.},

abstract = {Technology-enhanced learning (TEL), particularly in science, technology, engineering, arts, and math (STEAM), revolutionizes educational approaches by fostering active, transformative learning and expediting the learning process. TEL employs various tools like online courses, artificial intelligence (AI) technologies, virtual reality (VR), simulations, makerspaces, visual learning, and project-based learning, all contributing to accelerated learning in STEAM. A notable TEL innovation is the emergence of Large Language Models (LLMs) and AI chatbots, exemplified by the release of GPT-3 in December 2022. These tools utilize extensive parameters to generate natural language and perform tasks such as classification and prediction, thereby offering personalized and collaborative learning experiences essential for STEAM education. The generative pre-training transformer (GPT), a leading model in natural language processing (NLP), excels in generating human-like text and handling complex tasks like translation, summarization, and question answering. This chapter explores TEL environments that support transformative learning in STEAM, focusing on AI models. It reviews research on TEL's impact on STEAM education, discussing the constructionism theory and emphasizing TEL's role in creating engaging, student-centered learning experiences. However, challenges like technology access, instructor training, infrastructure, internet connectivity, and hardware resources are crucial. Additionally, the rise of AI brings ethical concerns regarding privacy, security, and potential biases in AI algorithms. Despite these hurdles, TEL's potential to enhance Transformative Leadership and Sustainable Innovation in Education: Interdisciplinary Perspectives STEAM learning experiences and accelerate the educational process is significant. By effectively implementing TEL strategies and leveraging LLMs and AI tools, educators can substantially improve learning outcomes in STEAM education. © 2024 by Tayeb Brahimi and Akila Sarirete. All rights reserved.},

keywords = {Accelerated learning, Constructionism, GPT, STEAM education, Technology-enhanced learning, Transformative learning},

pubstate = {published},

tppubtype = {incollection}

}

Technology-enhanced learning (TEL), particularly in science, technology, engineering, arts, and math (STEAM), revolutionizes educational approaches by fostering active, transformative learning and expediting the learning process. TEL employs various tools like online courses, artificial intelligence (AI) technologies, virtual reality (VR), simulations, makerspaces, visual learning, and project-based learning, all contributing to accelerated learning in STEAM. A notable TEL innovation is the emergence of Large Language Models (LLMs) and AI chatbots, exemplified by the release of GPT-3 in December 2022. These tools utilize extensive parameters to generate natural language and perform tasks such as classification and prediction, thereby offering personalized and collaborative learning experiences essential for STEAM education. The generative pre-training transformer (GPT), a leading model in natural language processing (NLP), excels in generating human-like text and handling complex tasks like translation, summarization, and question answering. This chapter explores TEL environments that support transformative learning in STEAM, focusing on AI models. It reviews research on TEL's impact on STEAM education, discussing the constructionism theory and emphasizing TEL's role in creating engaging, student-centered learning experiences. However, challenges like technology access, instructor training, infrastructure, internet connectivity, and hardware resources are crucial. Additionally, the rise of AI brings ethical concerns regarding privacy, security, and potential biases in AI algorithms. Despite these hurdles, TEL's potential to enhance Transformative Leadership and Sustainable Innovation in Education: Interdisciplinary Perspectives STEAM learning experiences and accelerate the educational process is significant. By effectively implementing TEL strategies and leveraging LLMs and AI tools, educators can substantially improve learning outcomes in STEAM education. © 2024 by Tayeb Brahimi and Akila Sarirete. All rights reserved.