Student Performance Capture System Using Multi-Dimensional Outcome Segmentation
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Solution Overview
Problem
Grades provide a one-dimensional view of student performance, failing to offer insights into what students have learned and how effectively teachers convey subjects, limiting the measurement of student achievement and teacher effectiveness.
Innovation Solution
A computer-implemented method and system for capturing student performance by enabling course creators to generate learning outcomes and associate assessments with them, allowing for the measurement of student achievement and teacher effectiveness through an online classroom that provides assessments and automatically grades them, determining if learning outcomes are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional grading systems are used to measure student performance, then the measurement process is simple and quick, but the measurement precision is insufficient as grades provide only a one-dimensional view
Solution Approach 1:
The patent segments the single grade metric into multiple learning outcome dimensions. Each learning outcome is separately measured and evaluated, transforming one-dimensional grading into multi-dimensional assessment. This segmentation enables precise measurement of specific competencies while maintaining manageable complexity through structured evaluation criteria.
Solution Approach 2:
The patent adds dimensional depth to performance measurement by introducing multiple learning outcome dimensions beyond traditional grades. Each learning outcome represents a distinct dimension of student achievement, transforming scalar grade data into multi-dimensional performance profiles that provide comprehensive insights into student capabilities.
2Loss of information
If comprehensive learning outcome tracking is implemented, then the information completeness about student learning is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent creates a universal assessment framework where learning outcomes serve multiple functions: they define instructional goals, structure assessments, measure student performance, and guide instructional improvements. This multi-functionality reduces information loss by using a single integrated system for diverse assessment needs, rather than requiring separate systems for each function.
Solution Approach 2:
The patent implements feedback mechanisms that track student progress across learning outcomes and provide actionable insights to instructors. The system collects assessment data, compares it against learning outcome criteria, and generates feedback reports that highlight areas of strength and weakness, enabling continuous improvement without overwhelming complexity.
3Productivity
If manual assessment evaluation is used, then the system complexity is low, but the productivity and efficiency of performance measurement are reduced
Solution Approach 1:
The patent implements automated assessment evaluation where the system independently processes assessment data against learning outcome criteria. The computer system automatically scores assessments, compares results to predetermined standards, determines learning outcome achievement, and generates performance reports without requiring manual intervention for each evaluation step, significantly improving productivity.
Solution Approach 2:
The patent replaces manual mechanical evaluation processes with automated computer-based systems. Instead of instructors manually reviewing and scoring each assessment, the system uses automated algorithms to evaluate student work against learning outcomes, freeing instructors from repetitive tasks and enabling scalable high-volume assessment processing.
Data Source
AI summary
A method of capturing student performance can be provided that includes enabling a course creator to generate assessment data related to learning assessments for an online course and to generate learning outcomes for the online course, associating the assessment data with the learning outcomes, such that at least some of the learning assessments correspond to at least some of the learning outcomes, and generating an online classroom. The method may further include providing the learning assessments to students enrolled in the online course using the online classroom, wherein the students can generate completed learning assessments, and determining, for each of the completed learning assessments, whether one or more of the learning outcomes were met by each of the students.