Khan Academy AI Chatbot Integration

Empowering open source education through Artificial Intelligence

Khan Academy is an open source education platform with 127 million registered learners and is expected to grow by 75% upto 222 million by 2027.

Services

User Research
UI/UX Design
Interaction Design
Generative AI

Industry

Education
E-Learning

Timeline

2 Months

Live Demo

Khan Academy AI Chatboat Integration - Case Study

Main Objectives

To create an intuitive and engaging user interface that simplifies the process of accessing educational materials. The AI Chatbot will serve as a virtual assistant, guiding students through a wealth of resources and tailoring recommendations based on individual learning styles and preferences.

Goal

The goal of this project is to provide a seamless and interactive educational experience. By integrating AI technology, the Chatbot will be capable of understanding and responding to student queries, facilitating a more dynamic form of learning.
Student With Bot

Problem Statement

In the pursuit of enhancing educational experiences, the challenge lies in developing an intuitive AI Chatbot interface for an open-source educational platform. This interface must enable students to effortlessly access a wide array of educational materials, receive tailored content recommendations, and monitor their academic development with precision. The goal is to create a solution that not only simplifies the acquisition of knowledge but also fosters an engaging and personalized learning journey.

Stakeholder

Learners of all ages

Concern

Lack of access to resources that help immidiate doubt resolution

Cause

Causing confusions for the students, leading to consuming time.

Solution

Introducing AI Chatbot

A cloud-based AI Assistant for students designed to: 
Providing personalized engaging learning experiences, recommend courses, track learning progress and help students to stay focused throughout the course.

Primary Research

Insights gained from exploratory interviews

6/10 students mentioned that doubt clarification is not a quick process.
7/10 Students found it difficult in finding relevant and quality learning content.
6/10 students found the self-learning and practicing is boring.
5/10 students mentioned online teachers are not available always.
7/10 students found its an overwhelming user interfaces that impede the learning process.
7/10 students wants Interactive tools for self-assessment and progress tracking.

Competitor Analysis

Next step involved researching existing products to find out the features, gaps and opportunities for improvements.

Features List

From my analysis of four competitors I compiled following list of features would play huge role in creating intuitive and inclusive user experience.

Conversation Flow

This flow demonstrates four most used cases, how a student will interact with the chatbot and how chatbot reacts to various prompts and adapts to student’s preferences to provide exceptional personalized user experience.

Wireframes

Outcome

AI Chatbot with Khan Academy

AI Chatbot operates on advanced natural language processing (NLP) and machine learning algorithms. Its sophisticated NPL/LLM allows it to comprehend and respond to student’s queries in a conversational manner.

Cloud-based architecture ensures seamless accessibility from anywhere, and secure communication protocols safeguard the privacy and confidentiality of educational data. Khan Academy Chatbot’s adaptive learning capabilities are powered by algorithms that analyze individual student learning style, customize recommendations, tracks learning progress and instantly provides resolution for queries/doubts.

Khan Academy Chatbot’s technology foundation enables its platform to be an intellegent, encouraging, responsive and user-centric.