Automated Analysis of Learning Outcomes and Exam Questions Based on Bloom's Taxonomy
Fuente:
arXiv
Saved in:
| Main Authors: | Kumar, Ramya, Gulwani, Dhruv, Singh, Sonit |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TeamUp: Semantic Project Matching and Team Formation for Learning at Scale
by: Gulwani, Dhruv, et al.
Published: (2026)
by: Gulwani, Dhruv, et al.
Published: (2026)
Automated Benchmark Generation from Domain Guidelines Informed by Bloom's Taxonomy
by: Chen, Si, et al.
Published: (2026)
by: Chen, Si, et al.
Published: (2026)
How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy?
by: Maity, Subhankar, et al.
Published: (2024)
by: Maity, Subhankar, et al.
Published: (2024)
Semantically Aligned Question and Code Generation for Automated Insight Generation
by: Singha, Ananya, et al.
Published: (2024)
by: Singha, Ananya, et al.
Published: (2024)
Automated Educational Question Generation at Different Bloom's Skill Levels using Large Language Models: Strategies and Evaluation
by: Scaria, Nicy, et al.
Published: (2024)
by: Scaria, Nicy, et al.
Published: (2024)
Mechanistic Interpretability of Cognitive Complexity in LLMs via Linear Probing using Bloom's Taxonomy
by: Raimondi, Bianca, et al.
Published: (2026)
by: Raimondi, Bianca, et al.
Published: (2026)
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes
by: Elkins, Sabina, et al.
Published: (2024)
by: Elkins, Sabina, et al.
Published: (2024)
The Potential of LLMs in Medical Education: Generating Questions and Answers for Qualification Exams
by: Zhu, Yunqi, et al.
Published: (2024)
by: Zhu, Yunqi, et al.
Published: (2024)
Designing a Robust Radiology Report Generation System
by: Singh, Sonit
Published: (2024)
by: Singh, Sonit
Published: (2024)
Enhancing Creativity in Large Language Models through Associative Thinking Strategies
by: Mehrotra, Pronita, et al.
Published: (2024)
by: Mehrotra, Pronita, et al.
Published: (2024)
LLMs as Function Approximators: Terminology, Taxonomy, and Questions for Evaluation
by: Schlangen, David
Published: (2024)
by: Schlangen, David
Published: (2024)
TEN: Table Explicitization, Neurosymbolically
by: Mehrotra, Nikita, et al.
Published: (2025)
by: Mehrotra, Nikita, et al.
Published: (2025)
Logical Reasoning with Outcome Reward Models for Test-Time Scaling
by: Thatikonda, Ramya Keerthy, et al.
Published: (2025)
by: Thatikonda, Ramya Keerthy, et al.
Published: (2025)
Do Code Models Suffer from the Dunning-Kruger Effect?
by: Singh, Mukul, et al.
Published: (2025)
by: Singh, Mukul, et al.
Published: (2025)
Diffusion is a code repair operator and generator
by: Singh, Mukul, et al.
Published: (2025)
by: Singh, Mukul, et al.
Published: (2025)
SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia
by: Liu, Chaoqun, et al.
Published: (2025)
by: Liu, Chaoqun, et al.
Published: (2025)
ConDABench: Interactive Evaluation of Language Models for Data Analysis
by: Dutta, Avik, et al.
Published: (2025)
by: Dutta, Avik, et al.
Published: (2025)
Evaluating LLMs for Zeolite Synthesis Event Extraction (ZSEE): A Systematic Analysis of Prompting Strategies
by: Rathore, Charan Prakash, et al.
Published: (2025)
by: Rathore, Charan Prakash, et al.
Published: (2025)
Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering?
by: Vatsal, Shubham, et al.
Published: (2024)
by: Vatsal, Shubham, et al.
Published: (2024)
An Empirical Study of Validating Synthetic Data for Formula Generation
by: Singh, Usneek, et al.
Published: (2024)
by: Singh, Usneek, et al.
Published: (2024)
Context Over Content: Exposing Evaluation Faking in Automated Judges
by: Gupta, Manan, et al.
Published: (2026)
by: Gupta, Manan, et al.
Published: (2026)
Answering Students' Questions on Course Forums Using Multiple Chain-of-Thought Reasoning and Finetuning RAG-Enabled LLM
by: Wang, Neo, et al.
Published: (2025)
by: Wang, Neo, et al.
Published: (2025)
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning
by: Patidar, Mayur, et al.
Published: (2023)
by: Patidar, Mayur, et al.
Published: (2023)
The Ever-Evolving Science Exam
by: Wang, Junying, et al.
Published: (2025)
by: Wang, Junying, et al.
Published: (2025)
MetaReflection: Learning Instructions for Language Agents using Past Reflections
by: Gupta, Priyanshu, et al.
Published: (2024)
by: Gupta, Priyanshu, et al.
Published: (2024)
Leveraging Large Language Models For Optimized Item Categorization using UNSPSC Taxonomy
by: Singh, Anmolika, et al.
Published: (2024)
by: Singh, Anmolika, et al.
Published: (2024)
Beyond Sentiment: A Multi-Agent Pipeline for Actionable Business Advice from Reviews
by: Bhandari, Kartikey Singh, et al.
Published: (2026)
by: Bhandari, Kartikey Singh, et al.
Published: (2026)
CultureSynth: A Hierarchical Taxonomy-Guided and Retrieval-Augmented Framework for Cultural Question-Answer Synthesis
by: Zhang, Xinyu, et al.
Published: (2025)
by: Zhang, Xinyu, et al.
Published: (2025)
Improving Graduate Outcomes by Identifying Skills Gaps and Recommending Courses Based on Career Interests
by: Soni, Rahul, et al.
Published: (2025)
by: Soni, Rahul, et al.
Published: (2025)
Evaluating Novelty in AI-Generated Research Plans Using Multi-Workflow LLM Pipelines
by: Saraogi, Devesh, et al.
Published: (2025)
by: Saraogi, Devesh, et al.
Published: (2025)
Infinite Problem Generator: Verifiably Scaling Physics Reasoning Data with Agentic Workflows
by: Sharan, Aditya, et al.
Published: (2026)
by: Sharan, Aditya, et al.
Published: (2026)
Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction
by: Parab, Aishni, et al.
Published: (2025)
by: Parab, Aishni, et al.
Published: (2025)
The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Models
by: Maity, Subhankar, et al.
Published: (2024)
by: Maity, Subhankar, et al.
Published: (2024)
From No to Know: Taxonomy, Challenges, and Opportunities for Negation Understanding in Multimodal Foundation Models
by: Vatsa, Mayank, et al.
Published: (2025)
by: Vatsa, Mayank, et al.
Published: (2025)
Error Taxonomy-Guided Prompt Optimization
by: Singh, Mayank, et al.
Published: (2026)
by: Singh, Mayank, et al.
Published: (2026)
Bench4KE: Benchmarking Automated Competency Question Generation
by: Lippolis, Anna Sofia, et al.
Published: (2025)
by: Lippolis, Anna Sofia, et al.
Published: (2025)
Automated Question Generation on Tabular Data for Conversational Data Exploration
by: Chaudhuri, Ritwik, et al.
Published: (2024)
by: Chaudhuri, Ritwik, et al.
Published: (2024)
ALAS: Autonomous Learning Agent for Self-Updating Language Models
by: Atreja, Dhruv
Published: (2025)
by: Atreja, Dhruv
Published: (2025)
Diagnosing LLM Judge Reliability: Conformal Prediction Sets and Transitivity Violations
by: Gupta, Manan, et al.
Published: (2026)
by: Gupta, Manan, et al.
Published: (2026)
Latent Phase-Shift Rollback: Inference-Time Error Correction via Residual Stream Monitoring and KV-Cache Steering
by: Gupta, Manan, et al.
Published: (2026)
by: Gupta, Manan, et al.
Published: (2026)
Similar Items
-
TeamUp: Semantic Project Matching and Team Formation for Learning at Scale
by: Gulwani, Dhruv, et al.
Published: (2026) -
Automated Benchmark Generation from Domain Guidelines Informed by Bloom's Taxonomy
by: Chen, Si, et al.
Published: (2026) -
How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy?
by: Maity, Subhankar, et al.
Published: (2024) -
Semantically Aligned Question and Code Generation for Automated Insight Generation
by: Singha, Ananya, et al.
Published: (2024) -
Automated Educational Question Generation at Different Bloom's Skill Levels using Large Language Models: Strategies and Evaluation
by: Scaria, Nicy, et al.
Published: (2024)