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AI FOR EDUCATIONAL CONTENT CREATION

Title: AI FOR EDUCATIONAL CONTENT CREATION
Authors: Sivakumar R D, Assistant Professor, Department of Computer Science; Brindha S, Former Assistant Professor, Department of Business Administration
Publisher Information: Indian Journal of Recent Development Systems for Digitization
Publication Year: 2024
Collection: Zenodo
Subject Terms: Artificial Intelligence (AI); Educational Content Creation; Natural Language Processing (NLP); Machine Learning; Adaptive Learning; Personalized Learning; Interactive Learning; Virtual Tutors; Intelligent Tutoring Systems; Educational Technology; AI-Powered Tools; Digital Education; Content Personalization; Multimodal Content Generation; Educational Data Mining
Description: AI has been the catalyst for tremendous changes in many sectors, education inclusive. AI will now come into play in the era of artificial intelligence and the sequential teaching methods will be automatically transformed into a modern technique by efficiency, personalization, and thus, even scalability of learning materials. AI-powered content creation employs methods, which include natural language processing (NLP), machine learning, and computer vision, as a result of which, a vast variety of educators’ content, from text, multimedia, simulations, and interactive exercises, can be produced. AI is capable of analyzing huge amounts of educational data to detect gaps in content, select tailored material to the needs of learners and to update content as soon as new information is available. For example, NLP algorithms are able to create personalized study guides and test which could be made more complex by computer vision which creates visual aids and simulations. Machine learning models can carry out individualized change of the content based upon learner's performance and feedback, therefore such a learning process is more relevant and personalized than ever before. The effectiveness of AI in the creation of educational content is huge, because it can decrease the fiscal requirements and the period of time needed for the production of highly-quality materials, provide instant feedback to the learners, and fit for different learning needs and styles. While the implementation of AI in this field is expected to have both positive and negative outcomes, there are some challenges and considerations related to its application. Ethical issues involving data privacy or algorithmic biases should be prioritized and exercised caution to ensure ethical AI implementation. The quality of the AI-generated bots, with the development of effective validation methods and an ability to combine automation with human expertise, is a key factor. Furthermore, considering cultural or linguistic variants, the AI skills should be ...
Document Type: article in journal/newspaper
Language: English
ISSN: 2584-1009
Relation: https://zenodo.org/communities/ijrdsd/; https://zenodo.org/records/11195144; oai:zenodo.org:11195144; https://doi.org/10.5281/zenodo.11195144
DOI: 10.5281/zenodo.11195144
Availability: https://doi.org/10.5281/zenodo.11195144; https://zenodo.org/records/11195144
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.60FAAE2C
Database: BASE