Summary of How Effective Is Gpt-4 Turbo in Generating School-level Questions From Textbooks Based on Bloom’s Revised Taxonomy?, by Subhankar Maity et al.
How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom’s Revised Taxonomy?
by Subhankar Maity, Aniket Deroy, Sudeshna Sarkar
First submitted to arxiv on: 21 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research evaluates the capabilities of GPT-4 Turbo in generating educational questions from NCERT textbooks without any prior training. The study reveals that GPT-4 Turbo can produce questions that require higher-order thinking skills, specifically at the “understanding” level according to Bloom’s Revised Taxonomy. Although there is a notable consistency between human-assessed and machine-generated questions regarding complexity, some differences emerge. Additionally, the evaluation uncovers variations in how humans and machines evaluate question quality, with an inverse trend related to Bloom’s Revised Taxonomy levels. These findings suggest that while GPT-4 Turbo shows promise as an educational question generation tool, its effectiveness varies across different cognitive levels, indicating a need for further refinement to meet educational standards. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary GPT-4 Turbo is a machine learning model that can generate questions from textbooks without being trained first. Researchers looked at how well it does this and found that it can create questions that require higher-level thinking, like understanding something deeply. They compared these questions to ones written by humans and found some similarities but also differences. The study shows that there’s no perfect match between human and machine-generated questions when it comes to quality, and the level of thinking required to answer them varies. |
Keywords
» Artificial intelligence » Gpt » Machine learning
