SUFIAN MUNIR INC. (20240221524). METHOD AND SYSTEM FOR INTELLIGENT INTERPRETATION OF INFORMATION TO AUTONOMOUSLY DESIGN IN-CLASS/HYBRID/REMOTE ASSESSMENT simplified abstract
METHOD AND SYSTEM FOR INTELLIGENT INTERPRETATION OF INFORMATION TO AUTONOMOUSLY DESIGN IN-CLASS/HYBRID/REMOTE ASSESSMENT
Organization Name
Inventor(s)
Zahid Nisar of RAWALPINDI (PK)
FARHAN Hassan of SAN DIEGO CA (US)
SUFIAN Munir of SAN DIEGO CA (US)
METHOD AND SYSTEM FOR INTELLIGENT INTERPRETATION OF INFORMATION TO AUTONOMOUSLY DESIGN IN-CLASS/HYBRID/REMOTE ASSESSMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240221524 titled 'METHOD AND SYSTEM FOR INTELLIGENT INTERPRETATION OF INFORMATION TO AUTONOMOUSLY DESIGN IN-CLASS/HYBRID/REMOTE ASSESSMENT
Simplified Explanation: The patent application describes a method and system for autonomously designing assessments based on audio interactions, such as lectures or presentations.
- Key Features and Innovation:
- Method involves capturing audio from a presenter during an interaction.
- Extracts key information from the audio to generate assessments like quiz questions.
- Can be used for in-class, hybrid, or remote learning environments.
Potential Applications: This technology could be used in educational settings to create personalized assessments based on class interactions. It could also be applied in corporate training programs to develop tailored assessments for employees.
Problems Solved: This technology addresses the challenge of creating engaging and relevant assessments by automatically extracting key information from audio interactions. It streamlines the assessment design process for educators and trainers.
Benefits: The benefits of this technology include improved engagement for learners, personalized assessments that reflect class content, and time-saving for educators in creating assessments.
Commercial Applications: "Intelligent Assessment Design Technology for Educational and Corporate Training Programs"
Prior Art: Prior art related to this technology may include research on automated assessment generation based on audio inputs or machine learning algorithms for educational purposes.
Frequently Updated Research: Researchers may be exploring ways to enhance the accuracy and efficiency of extracting key information from audio interactions for assessment design purposes.
Questions about Intelligent Assessment Design Technology: 1. How does this technology compare to traditional methods of assessment design? 2. What are the potential limitations of using audio interactions for generating assessments?
Original Abstract Submitted
the embodiments herein disclose a method and system for intelligent interpretation of information to autonomously design in-class/hybrid/remote assessment. in an embodiment disclosed herein, involves picking up audio of the presenter from an audio input device such as microphone during an interaction. the interaction includes both either audio or video interaction. further, the embodiment herein, involves extracting the key information present in the captured audio interaction and then use the extracted key information to intelligently generate assessments such as quiz questions, multiple-choice questions, and mathematical questions.
