Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Integrating AI and NLP with Project-Based Learning in STREAM Education

Version 1 : Received: 9 June 2023 / Approved: 12 June 2023 / Online: 12 June 2023 (14:28:14 CEST)

How to cite: Abu-Ghuwaleh, M.; Saffaf, R. Integrating AI and NLP with Project-Based Learning in STREAM Education. Preprints 2023, 2023060848. https://doi.org/10.20944/preprints202306.0848.v1 Abu-Ghuwaleh, M.; Saffaf, R. Integrating AI and NLP with Project-Based Learning in STREAM Education. Preprints 2023, 2023060848. https://doi.org/10.20944/preprints202306.0848.v1

Abstract

Integrating artificial intelligence (AI) and natural language processing (NLP) technologies with project-based learning experiences in Science,Technology, Reading, Engineering, Arts, and Mathematics (STREAM) education offers the potential to enhance student engagement, critical thinking,problem-solving, and interdisciplinary learning. This paper presents a comprehensive approach to implementing AI and NLP technologies, such as ChatGPT, in STREAM project-based learning experiences, highlighting the potential advantages and challenges of this innovative educational approach. The proposed method encompasses personalized learning pathways, AI-powered research assistance, collaborative AI tools, real-time feedback, virtual mentoring, advanced simulation, and objective assessment. We also discuss the implications of this integration for educators, institutions, and students, along with recommendations for future research and development in this emerging field.

Keywords

Artificial Intelligence; STREAM; ChatGPT; Project-Based Learning; Pedagogy

Subject

Computer Science and Mathematics, Mathematics

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