Report Purpose
The field of education is on the verge of a revolution fueled by the incorporation of Artificial Intelligence (AI). The AI-Powered Personalized Tutoring System (PPTS) is a ground-breaking program that aims to break down traditional learning barriers. This report builds on the initial concept presented in Chapter 7, providing a full description of the business, along with a representative image and a custom-created table.
Business Overview
PPTS is a cutting-edge teaching platform that uses advanced neural learning algorithms to provide personalized learning experiences. PPTS, in contrast to traditional education systems’ one-size-fits-all approach, is aimed to build unique learning strategies adapted to the particular needs of each student (AlShaikh and Hewahi). This tailored approach is not only novel, but also important in an era when educational variety is essential. The system’s strength rests in its ability to sift through massive data archives throughout the internet, allowing it to create educational programs that are appropriate for a wide range of learning situations.
Adaptability and User Engagement
The versatility of PPTS is a notable characteristic. The technology adapts to a student’s development in real-time. If a student struggles with a particular idea, PPTS can re-calibrate the learning path, providing alternate methods for properly grasping the subject matter (Lu et al., 16089). This versatility guarantees that each student can learn at their own speed without feeling obligated to adhere to the conventional curriculum.
Market Position and Potential
According to market research, there is a growing demand for AI-based instructional tools that can perform a wide range of educational duties. PPTS is prepared to fill a substantial niche in the educational sector, with the ability to increase its target demographic (Kochmar et al. 143 and Fig. 1). While AI-based educational programs are growing their capabilities, competitive research suggests that there is still plenty of room for growth and innovation, particularly in personalized learning solutions.
Custom-Created Table
Table 1: Key Features of the AI-Powered Personalized Tutoring System (PPTS).
Works Cited
AlShaikh, Fatema, and Nabil M. Hewahi. “AI and Machine Learning Techniques in the Development of Intelligent Tutoring System: A Review.” 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT). 2021. Web.
“Fig. 1. Main Components of an Intelligent Tutoring System.” ResearchGate. Web.
Gross, Allison. Creating and integrating graphics. Pressbooks. Web.
Kochmar, Ekaterina, et al. “Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System.” Lecture Notes in Computer Science, 2020, pp. 140–46. Web.
Lu, Yu, et al. “RadarMath: An Intelligent Tutoring System for Math Education.” Proceedings of the… AAAI Conference on Artificial Intelligence, vol. 35, no. 18, 2021, pp. 16087–90. Web.
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