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20242026
most citedBeyond Search Engines: Can Large Language Models Improve Curriculum Development?

3 citations · 3 across the 5 of their papers we have counts for

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cs.CY2026

Cross-Dataset Bloom Question Classification: Supervised Models and Prompted LLMs

Abdolali Faraji, Mohammadreza Molavi, Zohreh Rasoulkhani +2

Automatic Bloom's taxonomy classification of assessment questions can substantially reduce instructor workload, but labeling is subjective and teacher-dependent. Prior machine lear…

cs.CY2025

Embedding-Based Rankings of Educational Resources based on Learning Outcome Alignment: Benchmarking, Expert Validation, and Learner Performance

Mohammadreza Molavi, Mohammad Moein, Mohammadreza Tavakoli +3

As the online learning landscape evolves, the need for personalization is increasingly evident. Although educational resources are burgeoning, educators face challenges selecting m…

cs.CY2025

Designing Effective LLM-Assisted Interfaces for Curriculum Development

Abdolali Faraji, Mohammadreza Tavakoli, Mohammad Moein +2

Large Language Models (LLMs) have the potential to transform the way a dynamic curriculum can be delivered. However, educators face significant challenges in interacting with these…

cs.CY2025

LLM-Driven Personalized Answer Generation and Evaluation

Mohammadreza Molavi, Mohammadreza Tavakoli, Mohammad Moein +2

Online learning has experienced rapid growth due to its flexibility and accessibility. Personalization, adapted to the needs of individual learners, is crucial for enhancing the le…

cs.CY20243 cited

Beyond Search Engines: Can Large Language Models Improve Curriculum Development?

Mohammad Moein, Mohammadreza Molavi Hajiagha, Abdolali Faraji +2

While Online Learning is growing and becoming widespread, the associated curricula often suffer from a lack of coverage and outdated content. In this regard, a key question is how…