"Harnessing AI and Digital Marketing for Enhanced Online Education Post-COVID-19: Opportunities and Challenges"

Authors

  • Ms. Kritika Srivastava and Prof. Himanshu Shekhar Singh Author

DOI:

https://doi.org/10.7492/8qrkkf58

Keywords:

Online education, Artificial Intelligence, Digital marketing, Social media marketing, COVID-19, Student engagement, Learning outcomes

Abstract

The COVID-19 pandemic has significantly accelerated the adoption of online education, prompting institutions and educators to explore innovative technologies such as Artificial Intelligence (AI) and digital marketing strategies to enhance the effectiveness and reach of online learning platforms. This research aims to investigate the role of AI and digital marketing, particularly social media marketing, in the expansion and improvement of online education post-COVID-19. Through a comprehensive review of literature, case studies, and empirical data analysis, this study seeks to identify the opportunities and challenges associated with the integration of AI and digital marketing in online education. Furthermore, it aims to provide insights into best practices and strategies for leveraging these technologies to optimize student engagement, learning outcomes, and institutional growth in the evolving landscape of digital education.

The research aims to study the role of AI and digital marketing, specifically social media marketing, in expanding and improving online education after COVID-19. It plans to analyze literature, case studies, and data to understand the opportunities and challenges of integrating AI and digital marketing in online education. Additionally, the study aims to provide insights on best practices and strategies to use these technologies to improve student engagement, learning outcomes, and institutional growth in the digital education landscape.

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Published

1990-2024

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Section

Articles

How to Cite

"Harnessing AI and Digital Marketing for Enhanced Online Education Post-COVID-19: Opportunities and Challenges". (2024). MSW Management Journal, 33(1), 121-134. https://doi.org/10.7492/8qrkkf58

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