International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 05 | May 2023
p-ISSN: 2395-0072
www.irjet.net
AI-Learning style prediction for primary education R. Varun Reddy1, A. Haritha2, Sri Vaishnavi3, Mr. Miryala Rama krishna4 1,2,3
B.Tech Scholars, Department of Computer Science and Engineering, SNIST, Hyderabad-501301, India 4 Professor, Department of Computer Science and Engineering, SNIST, Hyderabad- 501301, India ---------------------------------------------------------------------***--------------------------------------------------------------------these learning resources in an online learning management Abstract - The widespread use of online learning is a result of information technology advancements. For primary school children, there are, however, fewer pertinent evaluations and applications. The goal of any learning innovation project is to make learning more engaging for students while also raising the standard of instruction. By choosing instructional materials that complement each student's preferred learning style, teachers can increase their students' engagement in the teaching-learning process. The goal of the study is to create and assess the effectiveness of an AI-based learning style prediction model in an online learning environment for elementary school pupils. Grades 4 through 6 Indonesian elementary school kids were used as the subjects. The AI modelin the online learning portal was created to offer educational materials that fit students' learning preferences in order to uphold the notion of personalized learning. We developed a novel AI strategy that enables learning style prediction to drive collaborative filtering-based AI models.
system (LMS) portal like Moodle to make them easier for students to access. One benefit of usingonline learning is that individual student peculiarities are taken into account.
Key Words: Learning Style, Strategy, Matrix, Students,
1.2 Proposed System
Ability, Rating.
The goal of this work is to plan and assess the effects of deploying a synthetic intelligence-based internet learning gateway in order to boost student engagement and benefit from data technology advancements. The artificial intelligence model for the electronic learning entry was developed to suggest suitable learning materials depending on the student's preferred learning methods. To do this, we developed a novel strategy that enabled the coordination of a viable isolating-based AI model based on the supposition of learning style. The technique enables the AI model to work autonomously as a learning style assumption plan model at this time. Our suggested computation differs from earlier artificial intelligence-based methods in that it is independent of the learning strategy chosen by people. The inert learning material vectors in the practical filtering structure are layered with a softmax assumption layer to create the suggested strategy's independence. The proposed assessment limits the human propensity to take the understudy's learning style into account while identifying assets because of its autonomy. The online learning entrance could make use of this artificial intelligence framework to provide resources that are tuned to each student's preferred learning methods and learning styles.
1.1 Existing System Learning enhancement as a specific topic of study has given rise to tweaked learning, particularly mechanized modified learning with pre-packaged courses, assessment, and constant data collection. Artificial Intelligence (AI) on a digital platform can deliver personalized learning. To choose the understudy's preferred learning method, one of them is used. Speaking styles, learning systems, how to complete obligations, how to assist others, and other embedded works out are examples of learning styles, which are the preference or method by which students successfully acquire and impart information.
1. INTRODUCTION For primary school students to learn effectively, more work must be put into raising the standard of instruction. In primary schools, a variety of research techniques are used to create an engaging learning environment that will improve motivation and independent learning. According to the findings of earlier studies, active student participation in the learning process—such as through the implementation of the Team-Based Learning (TBL) approach, advancements in information technology, and online learning—would result in successful learning. In order for students to actively participate in the learning process, the teacher, who serves as the learning manager, must be able to select the best teaching strategy. This can beaccomplished by utilizing technological advancements to enhance the results of the educational process. With the use of technology, such as online learning, which promotes an interactive learning environment, teachers can also developand maintain student motivation and independent learning. Online education is now being developed in response to information technology advancements. Students have access to a variety of learning tools that have been produced by the teacher through the use of online learning. The several kinds of learning resources mentioned include slideshows, e- books, animated films, video lectures, and online articles. Teachers can arrange
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2. LITERATURE SURVEY Using the Team-Based Learning (TBL) teaching and learning strategy, this article was created to help lecturers establish a
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