Personalized Learning Assistan

AI-powered Personalized Learning Assistant (PLA) for PreK-Grade 8 Learners

This project proposes an AI-powered Personalized Learning Assistant (PLA) to revolutionize assessments for Pre-K to Grade 8 learners in the United States. 

Core Functionalities:

Personalized Assessment:

   Adaptive Questioning: PLA greets students through a secure institutional email login, identifies their grade level, and asks targeted questions to gauge understanding in specific subjects.

    Knowledge Mapping: Based on responses, PLA creates a personalized knowledge map, pinpointing strengths and weaknesses.

    Formative Assessments: PLA delivers ongoing, bite-sized assessments tailored to the student's knowledge gaps, making learning dynamic.

Engaging Learning Environment:

    Gamification: PLA incorporates points, badges, and leaderboards (within classrooms) to motivate students and make learning fun. 

    Interactive Tutorials: PLA uses age-appropriate interactive elements, like simulations and games, to solidify understanding.

Predictive Analytics:    

Risk Identification: PLA analyzes student performance data to predict potential learning difficulties and flag students at risk of falling behind. 

    Targeted Interventions: Based on predictions, PLA suggests personalized learning pathways with additional exercises and resources to bridge identified gaps.

Additional Features:

Fact-Checking and Credible Sources: 

     PLA accesses the internet but critically evaluates sources, highlighting government or reputable educational websites for student reference.

     It offers the option to provide links only, allowing students to research within credible domains actively.

Citation Support: PLA automatically cites sources in APA format, fostering academic integrity and research skills.

Note Interpretation and Simplification:

     PLA allows students to upload class notes for subjects like math or science. Through natural language processing, PLA analyzes the notes and simplifies complex concepts into easier-to-understand explanations. This empowers students to grasp concepts, not just get answers.

Critical Thinking Development: PLA requires students to refine their questioning techniques to get the most accurate results. This promotes critical thinking and problem-solving skills.

Benefits:

Personalized Learning: Tailored assessments and learning paths cater to individual needs and learning styles.

Increased Engagement: Gamification and interactive elements make learning fun and motivating.

Early Intervention: Predictive analytics enable educators to address learning difficulties before they escalate.

Improved Research Skills: Fact-checking, source evaluation, and citation tools promote responsible research practices. 

Deeper Understanding: Note interpretation simplifies complex concepts, fostering true comprehension over mere memorization.

Implementation Considerations:

Data Privacy and Security: Secure institutional login and student data encryption are paramount.

Teacher Training and Integration:  Educators need training to integrate PLA into their classrooms and leverage its insights effectively. 

Accessibility: The system should be accessible to students with disabilities through features like text-to-speech conversion or screen reader compatibility.

By incorporating these functionalities and addressing implementation considerations, the AI-powered PLA has the potential to transform assessments and learning experiences for Pre-K to Grade 8 students in the United States.

The AI would be completely free and people would be able to access it only needing a device and the internet and it'll work as a tutor better than only giving the answers 

Our solution is made by students of the 9th grade and powered by what we would have liked to have and would have helped us in those moments when we didn't understand the classes or we just couldn't understand it. 

We as students from the 10th grade don't have the tools to make a prototype but we asked multiple students from the United States and Mexico if they think having this in their schools would have helped them in many classes. The answer to this question was always yes as it is adaptable to any school sistem. 

My solution would change the market and schools because it adapts to the student's learning forms and instead of giving you answers you're able to get all the explication on the topic. PLA is also able to help you research information in pages that are certified so you know the information is useful for what you're researching and periodic

Machine Learning (ML): This would be the core engine driving PLA's adaptive learning and predictive analytics.Natural Language Processing (NLP): This would enable PLA to understand student input Knowledge Representation: PLA would utilize a knowledge base containing educational content, concepts, and relationships between them. This allows PLA to create personalized knowledge maps for each student.

Web Scraping and Credibility Analysis: PLA might utilize web scraping techniques to access educational content online. However, it would employ NLP to analyze the credibility of sources, highlighting trustworthy websites like government or educational domains.Text-to-Speech Conversion and Screen Reader Compatibility: To ensure accessibility, the front-end user interface (UI) could incorporate features like text-to-speech conversion and screen reader compatibility for students with disabilities.

We don't know that it works because we weren't able to make the prototype but we did ask for certain teachers who specialized in computers and who have a thorough knowledge of AI

• Use super diverse data: PLA would train on info from many backgrounds, including Black, Latino, and low-income students, to avoid favoring any one group.
• Learn many languages: PLA would try to understand students in their own language, not just English.
• Catch unfairness early: People will check PLA to make sure it treats everyone equally, like giving all students problems that are just the right difficulty.
• Keep learning new things: PLA would constantly get updated information so it doesn't become biased over time.
• Help everyone succeed: PLA would give extra support to students who need it and use examples that students can relate to, regardless of their background.

the people that have worked on this solution are the computers teacher , the MUN and inglish teacher and the students Uma Salama, Mateo Turner and Ivan Palma 

We would love to make a pilot of this AI but we don't have either the experience or the economic bases to make a pilot of this AI.

We don't want to put a price on it we want all students to be able to use this as a learning tool and to be able to succeed academically. We want the people who may not have the support to learn or anyone who can help them to use this AI as help like a tutor. 

As we are underaged students we don't have the bases to be able to create this prototype of the AI