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Determining the Effects of Artificial Intelligence in Personalized Learning for Different Learners

Personalized learning's application of artificial intelligence (AI) has transformed current education by customizing courses to fit individual needs. But the effectiveness of AI-driven customisation mostly depends on the teachers' judgments and pragmatic implementation among different students. This study initiative gathers and evaluates teacher observations and comments in order to investigate both the possible and negative effects of artificial intelligence on promoting uniqueness—personalized learning. Online surveys sent to instructors of various grades have helped to compile data. The surveys combined open-ended questions that produced more thorough, personal replies with Likert-scale items measuring impressions of flexibility, student involvement, and instructional performance. Descriptive statistical techniques were applied to investigate quantitative data, therefore offering a picture of current trends and patterns. Grouping and assessing qualitative responses using simple thematic coding revealed common themes and different points of view on how artificial intelligence can affect tailored learning. The first results show that although many educators value AI's capacity to effectively handle unique learning styles and needs, concerns about data privacy, too much reliance on technology, and professional development still exist. The results also reveal that opinions of artificial intelligence's value differ depending on factors such as subject area, student age, and technological competency of the teachers. This study project offers pragmatic opinions from real-world teachers, therefore augmenting the already ongoing arguments on including artificial intelligence into classroom settings. It provides the foundation for later research and suggestions on how artificial intelligence should be more wisely applied to improve customized learning for every learner. Future studies should investigate the long-term consequences of artificial intelligence on training requirements of teachers for efficient application as well as on educational outcomes.

OLUMIDE CLEMENT ONI
EDUC580- Educational Research: Designs and Procedures.
MSIET EIU-PARIS