Multidisciplinary Approaches in EdTech: Bridging 3D Printing, Natural Language Processing, and Digital Advertising to Enhance STEM Education and Consumer Engagement

Abstract

In the rapidly evolving landscape of educational technology (EdTech), it is imperative to explore integrative and multidisciplinary approaches to enhance learning experiences and outcomes. This research delves into the convergence of three transformative technologies: 3D printing, natural language processing (NLP), and digital advertising, and their collective impact on Science, Technology, Engineering, and Mathematics (STEM) education. We demonstrate how 3D printing fosters hands-on learning and practical skills acquisition among STEM students. Further, the research elucidates how NLP, a subfield of artificial intelligence, can be harnessed to personalize learning experiences, making educational content more accessible and engaging. The study also investigates the role of digital advertising, particularly its efficacy in consumer engagement, examining metrics such as click-through rates and the influence of micro-influencers in promoting educational tools and resources. Through case studies, including applications in health monitoring for pets and pet product promotions, we highlight the broader implications of these technologies beyond the classroom. Our findings suggest that a multidisciplinary approach in EdTech not only enhances STEM education but also offers avenues for increased consumer engagement in related sectors.