A Study on the Impact of Artificial Intelligence on Students Personalized Learning Experiences in Online Distance Learning Institutions of Pakistan

Authors

  • Darakhshan Muslim, Muhammad Sarwar, Muhammad Arif, Maqbool Hussain Sial, Meimoona Riaz, Gulbadin Khan

Keywords:

Artificial Intelligence, Personalized Learning, Online Distance Learning

Abstract

The aim of this study is to investigate the impact of artificial intelligence on students’ personalized learning experiences in online distance learning institutions in Pakistan. A survey questionnaire was administered to a sample of online distance learning students to gather data. Data was analyzed by using Structure equation modeling (SEM) to determine the relationship between latent variables related to personalized learning, i.e. interaction and engagement, academic support, and overall satisfaction among students. The findings of this study provide valuable insights in defining the complex relationship between the above stated variables. Findings of this study support the importance of using Artificial intelligence in enhancing the student’s personalized learning, interaction & engagement, academic support and promoting student satisfaction and success. Institutions and educators should consider incorporating these elements into their educational practices to enhance the overall student experiences and satisfaction.

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Published

2024-07-06

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Section

Articles