Computer-Guided Multi-Device Group Learning System
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Solution Overview
Problem
Conventional synchronous remote learning techniques are limited by the need for human guidance, restricting scalability and requiring a significant number of instructors, while asynchronous learning lacks real-time interaction among participants.
Innovation Solution
A computer-guided system that allows multiple participants to interact with shared content in real-time, eliminating the need for human instructors by using a sequence of states with graphical user interfaces (GUIs) that enable independent navigation and provide updates on other participants' progress, decentralizing control and increasing scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If synchronous learning platforms are used to provide real-time interaction among participants, then the quality of learning experience is improved, but the number of human instructors required increases linearly with the number of participants
Solution Approach 1:
An AI-based virtual instructor is introduced as an intermediary between the learning content and participants. The virtual instructor automates facilitation tasks such as guiding discussions, providing feedback, and managing session flow, thereby replacing the need for human instructors while maintaining real-time interaction quality
Solution Approach 2:
The learning system enables participants to interact with the virtual instructor and each other through automated facilitation mechanisms. The virtual instructor autonomously manages the learning session by detecting participant states, providing contextual guidance, and coordinating interactions without human intervention
2Productivity
If asynchronous learning platforms are used to reduce the number of instructors required, then scalability is improved, but real-time interaction among participants is lost
Solution Approach 1:
The system dynamically adjusts the level of automation and interaction based on participant needs and session context. The virtual instructor adapts its facilitation style in real-time, enabling scalable asynchronous delivery while maintaining opportunities for synchronous interaction when needed
Solution Approach 2:
The virtual instructor platform serves multiple functions simultaneously: it provides asynchronous content delivery, enables real-time interaction through chat and collaboration tools, and offers on-demand support. This multi-functionality allows a single scalable system to replace both asynchronous platforms and human instructors
3Reliability
If human instructors are used to guide participants through learning content, then the quality of guidance and feedback is improved, but the cost and complexity of delivery increases
Solution Approach 1:
The mechanical system of human instructors providing guidance and feedback is replaced with an automated AI-based virtual instructor. The virtual instructor uses natural language processing, machine learning, and contextual analysis to deliver personalized guidance and feedback at scale without incurring additional human resource costs
Data Source
AI summary
Described herein are techniques in which a computer system guides a group of participants through a session (e.g., a learning session) in real time. The techniques remove a need for a leader (e.g., a course instructor) to be present in order to guide the participants (e.g., students) through the session. The techniques allow each participant to join a session using a respective computing device, and interact with shared content through one or more graphical user interfaces (GUIs). The techniques implement the shared content as a sequence of states (e.g., steps), and guide the participants through the sequence of states. The techniques allow the computer system to replace a human in guiding users through a session (e.g., a learning session). By removing the need for human guidance through a session, the techniques exponentially increase the scale at which educational experiences (e.g., for a remote learning session) can be distributed and used.