Analyzing Future Trends and Emerging Technologies in ODL (Distance Learning)

Authors

  • Humera Yaseen Bahria University, Karachi – Pakistan
  • Panira Ali Bahria University, Karachi – Pakistan
  • Ghazala Shah Bahria College, Karachi – Pakistan
  • Ayesha Khan Muhammad Ansari Karachi University, Karachi – Pakistan

Keywords:

Artificial intelligence AI, algorithms, tutoring systems (TS), social robots (SR), smart learning (SL), Virtual Reality (VR)

Abstract

This study examines recent advancements and emerging themes in open and distance learning (ODL), emphasizing artificial intelligence's (AI) capacity for transformation. The simulation of human intelligence in machines through thought processes and learning algorithms, known as artificial intelligence (AI), is revolutionizing the field of education. AI in online learning (ODL), which delivers education and training to students who are not physically present in a traditional setting, has several advantages. The study demonstrates how artificial intelligence (AI) improves administrative effectiveness and learning experiences using case studies from Singapore, Malaysia, and South Korea. Social robots, intelligent learning environments, and intelligent tutoring systems are some of the key AI applications in ODL. These technologies enhance educational outcomes and promote flexibility and efficiency within ODL platforms through personalized learning experiences, learning history analysis, and instant answers to frequently asked questions. Important questions concerning how AI affects personalized learning and how well it works in various educational settings are addressed in this study. It is highlighted how important qualitative validation is to ensuring that educators and students will find the results widely applicable and acceptable. The study also imagines a time when personalized learning pathways, easier administrative procedures, and increased engagement are provided by AI-driven ODL platforms, completely replacing conventional educational models. It does, however, also emphasize the need for qualitative validation to guarantee that the study's conclusions are widely acknowledged and relevant. Teachers, students, and management organizations like the State Education Department (JPN), District Education Office (PPD), and schools stand to gain from this research as they work to advance a culture of digital learning and improve the competencies and understanding of educators in this area.

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Published

2024-12-15

How to Cite

Humera Yaseen, Panira Ali, Ghazala Shah, & Ayesha Khan Muhammad Ansari. (2024). Analyzing Future Trends and Emerging Technologies in ODL (Distance Learning) . Wah Academia Journal of Social Sciences, 3(2), 513–536. Retrieved from https://wahacademia.com/index.php/Journal/article/view/99