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User Inputs
Admins can enter lesson content or context into the system based on user input in the AI product development process to enable the AI program to cater to the specific curriculum needs of each student. By inputting tailored lesson materials, admins can ensure that the learning experience is aligned with the student's current curriculum and individual learning requirements. This promotes engagement and deeper understanding for students as they receive personalised and relevant educational content.
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Personalised Content Generation
The programme generates personalised questions and learning content based on the input lessons, catering to each student's unique needs and learning pace. This capability enhances academic outcomes and cultivates a rewarding and efficient learning experience, empowering students to maximise their abilities.
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Mock Test Module
The system creates mock tests that mimic actual exam conditions, helping students prepare more effectively with targeted Practice. Mock tests can focus on areas where the student needs more practice, as identified through data analysis, ensuring efficient use of study time.
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Evaluation System
The system provides instant evaluation of student responses, allowing students to quickly understand their mistakes and learn the correct answers. It also helps students track their progress over time and identify trends in their learning journey.
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Feedback To Students
The system offers detailed feedback on performance, including explanations for correct and incorrect answers, promoting a deeper understanding of the material. In doing so, AI in product development advocates for data-driven decision-making, reducing time-to-market and improving product quality by identifying potential issues early in the development cycle.
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Data Analysis
The system utilises robust data analytics as the backbone for generating accurate responses and feedback. Through integrated AI and insightful analytics, we analyse user inputs to identify learning patterns, strengths, and areas for improvement, offering valuable insights to students, educators, or parents. This data-driven approach enables the system to adapt the learning experience dynamically, ensuring each student engages with the material at an optimal challenge level aligned with their progress.