AI-Driven Content Creation and Curation in Digital Marketing Education: Tools and Techniques

Abstract

This research paper investigates the utilization of artificial intelligence (AI) technologies for content creation and curation within the realm of digital marketing education and its subsequent impact on student engagement and learning outcomes. As digital marketing continues to evolve rapidly, educators are increasingly turning to AI-driven tools to tailor content delivery to the individual needs and preferences of students. Drawing upon a comprehensive review of literature spanning AI, education, and digital marketing, this study establishes a theoretical framework to elucidate the mechanisms through which AI-driven content influences student learning experiences. Employing a mixed-methods research design, the study incorporates both quantitative surveys and qualitative interviews to gather insights from students and instructors alike. The results reveal compelling trends indicating that AI-driven content not only enhances student engagement but also contributes to improved learning outcomes by fostering deeper comprehension and retention of digital marketing concepts. However, amidst the myriad benefits, the study also uncovers challenges such as algorithm bias and technological limitations that warrant careful consideration. This paper underscores the critical importance of pedagogical innovation and the ethical use of AI technologies in digital marketing education. By harnessing the power of AI to deliver personalized, adaptive learning experiences, educators can empower students to thrive in an increasingly competitive and dynamic industry landscape. Ultimately, this research contributes to a deeper understanding of the transformative potential of AI in shaping the future of education and preparing students for success in the ever-evolving field of digital marketing.