The AI-Enabled Grading System

How it works

Level’s AI-enabled grading system employs advanced natural language processing (NLP) algorithms based on OpenAI to analyze open text responses to specific questions related to e.g. business models. Here’s a step-by-step breakdown of the process:

1. Question Design: Each question is crafted to elicit detailed information about key aspects of e.g. a business model, such as value proposition, market strategy, revenue streams, and operational plans.



2. Anchor Definition: For each question, a set of anchor points is established. These anchors define the criteria for each score on the numerical scale (e.g., 1 to 5). Anchors provide clear expectations for what constitutes a high, medium, or low score, ensuring consistency and transparency.



3. Response Analysis: The AI analyzes the entrepreneur's response, comparing it against the predefined anchors. It assesses various factors, including clarity, completeness, feasibility, and innovation.



4. Score Assignment: Based on the analysis, the AI assigns a score to the response. Each score is backed by a rationale derived from the anchors, potentially used to offer actionable feedback to the entrepreneur.

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