18067937. INCREASING EXPLAINABILITY OF DISCOURSE simplified abstract (International Business Machines Corporation)
Contents
- 1 INCREASING EXPLAINABILITY OF DISCOURSE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INCREASING EXPLAINABILITY OF DISCOURSE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Explaining Discourse
- 1.13 Original Abstract Submitted
INCREASING EXPLAINABILITY OF DISCOURSE
Organization Name
International Business Machines Corporation
Inventor(s)
Kelley Anders of East New Market MD (US)
Jonathan D. Dunne of Dungarvan (IE)
INCREASING EXPLAINABILITY OF DISCOURSE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18067937 titled 'INCREASING EXPLAINABILITY OF DISCOURSE
Simplified Explanation
The patent application provides a method, computer system, and computer program product for explaining discourse by identifying skill levels, complexity levels, and generating explanations for users.
- Identifying skill levels for users
- Determining complexity levels of content
- Generating explanations based on complexity levels and target skill levels
- Providing explanations to users
Key Features and Innovation
- Personalized explanations based on user skill levels
- Automated generation of explanations for content
- Tailored explanations for different users
- Efficient way to enhance understanding of discourse
- Potential for improved learning outcomes
Potential Applications
This technology could be applied in educational settings to help students better understand complex topics. It could also be used in training programs for employees to explain intricate concepts in a simplified manner.
Problems Solved
- Difficulty in explaining complex content to users with varying skill levels
- Inefficient methods of providing explanations for discourse
- Lack of personalized learning tools for users
Benefits
- Enhanced comprehension of complex topics
- Improved engagement and retention of information
- Personalized learning experience for users
- Time-saving automated explanation generation
- Potential for increased knowledge retention
Commercial Applications
Explaining Discourse Technology in Education and Training This technology can be utilized in educational institutions and corporate training programs to provide personalized explanations for users at different skill levels. It could also be integrated into e-learning platforms to enhance the learning experience for students and employees.
Prior Art
There may be prior art related to natural language processing, machine learning, and educational technology that could be relevant to this technology. Researchers and patent examiners may want to explore these areas for potential prior art references.
Frequently Updated Research
Researchers in the fields of artificial intelligence, educational technology, and natural language processing may be conducting studies on personalized learning tools and automated explanation generation. Stay updated on the latest research in these areas to understand the advancements in explaining discourse technology.
Questions about Explaining Discourse
How does this technology improve learning outcomes for users?
This technology enhances learning outcomes by providing personalized explanations tailored to individual skill levels, leading to better comprehension and retention of information.
What are the potential applications of this technology beyond education and training?
This technology could also be applied in customer support services to provide clear and concise explanations to users seeking assistance.
Original Abstract Submitted
According to one embodiment, a method, computer system, and computer program product for explaining discourse is provided. The embodiment may include identifying one or more skill levels for one or more users. The embodiment may also include identifying a complexity level corresponding to a piece of content. The embodiment may further include determining an explanation level for the piece of content based on the complexity level of the piece of content and a target skill level from the one or more skill levels. The embodiment may also include generating an explanation for the piece of content according to the explanation level. The embodiment may further include providing the explanation to a target user.
