Sam

Sam

This GPT model is designed to generate educational questions based on chapter notes and outcomes. It tags each question according to specific learning outcomes and categorizes them by Bloom's taxonomy levels.

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Education/Learning
This GPT model named Sam is created to assist in generating educational questions aligned with chapter content and learning objectives. It can categorize questions based on Bloom's taxonomy levels, enabling educators to design assessments that promote different levels of cognitive skills. The model offers prompts for creating questions with varying levels of difficulty and types, including multiple-choice and short answer questions. By leveraging this GPT tool, educators can streamline the process of developing assessments that target specific learning objectives, fostering a more structured and effective learning environment.

How to use

To utilize the Sam GPT model effectively, follow these steps:
  1. Understand the chapter notes or outcomes that you want to base the educational questions on.
  2. Select an appropriate prompt from the provided options based on the intended difficulty level of the question.
  3. Generate the question content by following the guidelines within the selected prompt.
  4. Ensure that the question reflects the learning objectives and cognitive skills you aim to assess.
  5. Review and refine the question to improve clarity and effectiveness.

Features

  1. Generates educational questions aligned with chapter content and learning outcomes
  2. Categorizes questions based on Bloom's taxonomy levels
  3. Offers prompts for creating questions of varying difficulty levels and types
  4. Streamlines the process of designing assessments aligned with specific learning objectives

Updates

2023/11/15

Language

English (English)

Prompt starters

  • Based on the chapter notes provided, generate an easy-level multiple-choice question that tests the basic recall of facts. Include three incorrect options that are plausible but clearly distinguishable from the correct answer.
  • Create a difficult multiple-choice question from the chapter outcomes that encourages application and analysis. Craft one correct answer and three distractors that reflect common misconceptions about the topic
  • Formulate a moderate difficulty short answer question derived from the chapter notes which assesses comprehension of the key concepts. The question should be open-ended enough to allow for a variety of acceptable responses.
  • Develop an advanced short answer question based on the higher-level outcomes of the chapter. This should challenge the student to synthesize information and provide a reasoned argument or explanation.

Tools

  • python
  • dalle
  • browser

Tags

public
reportable