Chatbot Interaction Analysis for Accurate Learning Assessment
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Solution Overview
Problem
Conventional remote learning and online learning systems provide unidirectional experiences with limited interaction capabilities, requiring lecturers to repeatedly explain answers due to robotic responses from Chatbots, increasing their burden.
Innovation Solution
An interaction analysis method and Chatbot system that proposes exam questions to students, analyzes their responses using Bloom's Taxonomy, and summarizes their learning status to provide feedback to teachers, enhancing interactivity and reducing lecturer workload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a conventional Chatbot is used to interact with students in online learning, then the system provides automated interaction capability, but the Chatbot can only reply robotically and cannot accurately assess student understanding
Solution Approach 1:
The patent transforms the Chatbot's response analysis from simple keyword matching to multi-dimensional parameter assessment including interaction level, response quality, and learning status indicators. This enables the Chatbot to evaluate student understanding depth rather than just surface-level responses.
Solution Approach 2:
The system implements a feedback mechanism where the Chatbot provides structured interaction analysis results to teachers, enabling continuous improvement of teaching based on student response patterns and understanding levels detected through the analysis method.
2Ease of operation
If the lecturer manually explains each student's answer in conventional online learning, then personalized feedback is provided to each student, but this takes a lot of time and increases lecturer burden
Solution Approach 1:
The Chatbot system performs self-service by automatically analyzing student responses and generating interaction level assessments without requiring lecturer intervention. The system autonomously processes each student's answer and provides structured feedback, freeing the lecturer from manual explanation tasks.
Solution Approach 2:
The interaction analysis method acts as an intermediary between the Chatbot and the lecturer, transforming unstructured student responses into structured analysis results that the lecturer can efficiently review and act upon, reducing the time required for manual explanation.
3Device complexity
If conventional online learning provides unidirectional information delivery, then the system is simple to implement, but students cannot actively engage or ask questions effectively
Solution Approach 1:
The patent introduces dynamic interaction capabilities to the online learning system by enabling students to ask questions and receive automated responses from the Chatbot. The system transitions from static unidirectional delivery to dynamic bidirectional communication while maintaining manageable complexity through automated interaction analysis.
Data Source
AI summary
An interaction analysis method, for a Chatbot system, includes requesting, by a first user, the Chatbot system to propose at least one exam question for at least one second user; respectively responding, by the at least one second user, the at least one response to the at least one exam question; determining, by the Chatbot system, an interaction level for the at least one response of the at least one second user; and summarizing, by the Chatbot system, a current learning status of each of the at least one second user based on the interaction level.