International business machines corporation (20240331561). CURRICULUM CHALLENGE EVALUATION simplified abstract
Contents
CURRICULUM CHALLENGE EVALUATION
Organization Name
international business machines corporation
Inventor(s)
Martin G. Keen of Cary NC (US)
Jeffrey Bisti of New Paltz NY (US)
CURRICULUM CHALLENGE EVALUATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331561 titled 'CURRICULUM CHALLENGE EVALUATION
Abstract: Disclosed embodiments provide techniques for automated evaluation and scoring of curriculum challenges such as tests and quizzes. An automated score is provided to students, as well as prescriptive guidance on where the provided solution deviates from best practices and/or the taught curriculum. Curriculum material and challenge material are input to a machine learning system to create a grading model. The challenge material can include a software programming challenge. The grading model is used to evaluate curriculum responses and provide a score and feedback based on the evaluation. The evaluation can be based on the curriculum. There can be multiple ways to solve a programming (coding) challenge and disclosed embodiments give scoring preference to solutions that employ techniques covered in the curriculum.
- Simplified Explanation:
- Automated evaluation and scoring of curriculum challenges using machine learning. - Provides feedback to students on their solutions. - Emphasizes solutions aligned with taught curriculum.
- Key Features and Innovation:
- Automated scoring of curriculum challenges. - Prescriptive guidance on solution deviations. - Machine learning system for grading. - Preference for solutions aligned with curriculum.
- Potential Applications:
- Education technology. - Online learning platforms. - Skill assessment tools.
- Problems Solved:
- Manual grading inefficiencies. - Lack of personalized feedback for students. - Difficulty in aligning solutions with curriculum.
- Benefits:
- Efficient evaluation process. - Personalized feedback for students. - Improved alignment with curriculum.
- Commercial Applications:
- "Automated Curriculum Evaluation System for Educational Platforms" - Potential use in online learning tools. - Market implications in the education technology sector.
- Questions about Automated Curriculum Evaluation System:
1. How does the system provide prescriptive guidance to students? - The system analyzes solutions and identifies deviations from best practices or the taught curriculum to provide feedback. 2. What are the key advantages of using machine learning for grading curriculum challenges? - Machine learning enables efficient and consistent evaluation, as well as personalized feedback for students.
Original Abstract Submitted
disclosed embodiments provide techniques for automated evaluation and scoring of curriculum challenges such as tests and quizzes. an automated score is provided to students, as well as prescriptive guidance on where the provided solution deviates from best practices and/or the taught curriculum. curriculum material and challenge material are input to a machine learning system to create a grading model. the challenge material can include a software programming challenge. the grading model is used to evaluate curriculum responses and provide a score and feedback based on the evaluation. the evaluation can be based on the curriculum. there can be multiple ways to solve a programming (coding) challenge and disclosed embodiments give scoring preference to solutions that employ techniques covered in the curriculum.
