Abstract:
In recent decades, the world has witnessed an explosion of digitalization in various sectors, notably in education. Online learning
platforms such as Moodle, Canvas, Claroline, Open edX, and Blackboard, have made significant strides in improving the learning
process by enhancing flexibility and efficiency. Nevertheless, these tools do not fully meet the needs of learners and educators,
primarily due to the static design and presentation of pedagogical content. Recent advances in Artificial Intelligence (AI) and Natural
Language Processing (NLP) presents promising solutions to adapt content, navigation, and presentation in a more diverse and
personalized manner for each learner. These advancements involve the deployment of techniques such as text analysis, automatic
content translation, text classification, sentiment analysis, voice recognition, and recommendation systems. Consequently, this work
aims to reveal the contributions and challenges of AI devices in education, focusing on the importance of using NLP in educational
platforms to improve and adapt them to the needs of educators in content design and those of learners in terms of navigation and
learning dynamics.
Download here :
https://ieeexplore.ieee.org/document/10409971
Citation:
M. Kaouni, F. Lakrami, and O. Labouidya, “Integrating Artificial Intelligence and Natural Language Processing in E-Learning Platforms: A Review
of Opportunities and Limitations,” 2023 7th IEEE Congress on Information Science and Technology (CiSt), Agadir – Essaouira, Morocco,
2023, pp. 56-63, doi: 10.1109/CiSt56084.2023.10409971.
keywords: {Navigation;Education;Text categorization;Natural language processing;Artificial intelligence;Intelligent systems;Videos;E-
learning;Natural Language Processing (NLP);Artificial Intelligence;Information and Communication Technology (ICT);Covid-19;online learning
platforms},
