The use of Artificial Intelligence and Natural language processing In E-learning Platforms: An Exploration of Potentials and Limitations

Abstract

The noticeable rise of digitalization in various sectors, particularly in education, has been undeniable in recent years. Online learning platforms such as Moodle, Canvas, Claroline, Open edX, and Blackboard have been instrumental in enriching the learning process, providing greater flexibility and efficiency for learners. However, despite their advancements, these platforms often fall short of fully addressing the diverse needs of learners and educators. This shortfall is primarily attributed to pedagogical content's static design and presentation. Fortunately, recent strides in Artificial Intelligence (AI) and Natural Language Processing (NLP) present promising solutions to this challenge. Leveraging techniques such as text analysis, automatic content translation, text classification, sentiment analysis, voice recognition, and recommendation systems, AI and NLP can customize the content, navigation, and presentation to cater to the unique preferences of each learner. This study explores the impact of AI technologies on higher education, examining both their benefits and challenges. A key aspect of the investigation is the incorporation of NLP into educational platforms, underscoring its role in improving content creation for educators and streamlining the learning experience for students. By highlighting these developments, the aim is to lay the groundwork for a more responsive and efficient digital learning environment within higher education.