Student Support Chatbot
One of the main advantages of using chatbots in education is that they can provide real-time support to students that lack teaching support and mentoring. For example, if a student has a question about a certain topic, they can use a chatbot to get an answer right away without waiting for a teacher to respond. In addition, chatbots can be used to automate various tasks, such as answering typical student questions, providing recommendations, and notifying about important events, such as changes in the class schedule or changes in the study program.
Students taking the courses did not eventually finish them and, thus, did not convert into paying customers. The main reason behind it is the lack of teaching support, which resulted in failed exams in 14%. Considering that students speak over 60 languages and there are over thousands of courses, it was impossible to provide them with personalized advice and help.
Solution
AI-powered chatbot that became a teacher, mentor, and supporter for students. It speaks the same languages as the student, is available 24/7, and can answer without bias any course-related questions
How it works
Users ask questions, and a request classifier identifies the question type and how to respond to it.
If it’s a known intent, the chatbot provides the answer using known answers on FAQ.
If it’s unknown intent chatbot uses our own context builder to select the relevant piece of platform/course materials as an additional context for question answering.
Then ChatGPT acts as the course assistant and answers user questions by using the additional context.
If the ChatGPT answer is not confident – redirect the question to human support.
Our challenges:
Training and Knowledge Base
Maintaining an up-to-date and comprehensive knowledge base is essential for the chatbot to provide accurate responses. The challenge here is to regularly update the chatbot’s training data and knowledge base to keep it aligned with evolving course materials and student inquiries.
Contextual Understanding
Understanding the context of a user’s question is critical for providing relevant and accurate responses. The chatbot must be able to discern the context of a conversation, including previous questions and interactions, to offer meaningful assistance.
Integration with Course Materials
The chatbot’s ability to extract and provide relevant information from course materials and platform resources is vital. It must effectively integrate with the educational content and retrieve appropriate data when required. Ensuring seamless integration with the client’s existing systems can be a technical challenge.
Continuous Improvement
After deployment, ongoing monitoring and refinement of the chatbot’s performance are necessary. Analyzing user feedback and usage patterns, and making iterative improvements to enhance its capabilities and accuracy, is an ongoing challenge.
Summary
