TITLE:
Investigating How Generative AI Can Create Personalized Learning Materials Tailored to Individual Student Needs
AUTHORS:
Mohammad Hassan Yousif Binhammad, Azzam Othman, Laila Abuljadayel, Huda Al Mheiri, Muna Alkaabi, Mohammad Almarri
KEYWORDS:
Generative AI, Personalized Learning, Education Technology, Machine Learning Student Engagement, Adaptive Learning, Artificial Intelligence, Educational Innovation
JOURNAL NAME:
Creative Education,
Vol.15 No.7,
July
29,
2024
ABSTRACT: This research focuses on the possibility of utilizing generative AI in developing learning content to suit each learner’s requirements. The study will evaluate the outcomes of the use of AI-created content in enhancing students’ interest, desire, and performance in contrast to conventional learning resources. A qualitative study involves interviewing educators and developers of AI to understand their experience and perception about the generative AI in education while the quantitative study involves the performance data of students to determine the effectiveness of the content generated by AI. The paper also explores the ethical and privacy issues that come with the integration of AI in learning and offers solutions to these issues. To compare the efficiency of the AI-generated learning material with the traditional one, the study designed a quantitative comparative study on the performance of the students in Object-Oriented Programming (OOP) course. The course was split into two equal independent assessments; the professors uploaded AI generated content such as the title of the lesson, the content that was taught, and the learning outcomes expected, for each class. LMS was integrated with the OpenAI API to write content that is in line with the learning objectives as defined earlier. Performance data of students as obtained from the two evaluations was used to determine the effect of using AI-generated contents on students’ learning. The results indicate that despite the students’ increased test scores and grades after applying AI-created study materials, some of them are not benefited from them. These are some of the effects that show that it is essential to consider aspects like students’ interest, their prior knowledge, and the quality of the AI model while adopting generative AI in education.