A Comparative Analysis on Artificial Intelligence Tools That Can Be Used in Open And Distance Learning Systems


Akı F. N.

4rd International Conference on Educational Technology and Online Learning – ICETOL 2024, Eskişehir, Türkiye, 15 - 17 Mayıs 2024, ss.225-230

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Eskişehir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.225-230
  • İstanbul Ticaret Üniversitesi Adresli: Evet

Özet

This article provides a comprehensive overview of Artificial Intelligence (AI) applications in Open and Distance Learning (ODL) systems. The article aims to review the AI tools used in ODL systems, examining their benefits and limitations. These tools have been comparatively examined within the conceptual framework of self-learning and lifelong learning. The characteristics of these applications, both positive and negative aspects, have been compared. While AI offers numerous advantages such as personalized learning experiences, enhanced accessibility, and optimized administrative processes, it also presents challenges like overreliance on technology, algorithmic biases leading to misinformation, and inability to protect student privacy. Although new and updated types emerge every day, the following categories are generally obtained for AI applications that can be used for ODL systems: Intelligent Tutoring Systems, Automated Assessment and Feedback Tools, Adaptive Learning Platforms, Chatbots and Virtual Assistants, Text-to-Speech and Speech-to-Text Tools, Personalized Learning Recommendation Systems, AI-powered Content Creation and Curation Tools, Plagiarism Detection Tools, Proctoring and Online Exam Security Tools, Data Analytics and Learning Insights Tools. This article aims to present suitable tools for a personalized, accessible, and effective future of ODL for students, considering the limitations while harnessing the power of AI, and is intended to assist in the design of ODL.