Introduction:
Item Metadata Generator is an AI-enabled service from Excelsoft that can be used to automate the generation of metadata for items in an item bank. The service can be used to tag items based on common metadata tags such as item difficulty, Subject/Topic, Bloom’s taxonomy and even specific metadata such as common core standards. The service can be used while authoring a new item or to scan an existing repository and tag items with metadata.
Use cases:
- Empowering Educators: By automating metadata generation, the tool frees up educators’ time to focus on instructional design, student engagement, and personalized learning initiatives.
- Time Efficiency: By automating the metadata generation process, educators save valuable time that would otherwise be spent manually categorizing and aligning items.
- Enhanced Organization: The tool fosters a systematic approach to item management, enabling educators to efficiently search, filter, and retrieve questions based on desired criteria.
- Curriculum Alignment: With Common Core Standards alignment and Bloom’s Taxonomy integration, educators can ensure that their instructional materials are aligned with educational objectives and promote higher-order thinking skills.
What’s under the hood?
The Item Metadata Generator service harnesses the power of Large Language Models (LLMs) for generation of standard metadata such as Difficulty, Subject/Topic and Blooms Taxonomy, and a proprietary model for specific metadata.
The models employ:
- Contextual understanding and pattern recognition to identify keywords, phrases, and linguistic structures indicative of specific subjects.
- Sophisticated analysis of vocabulary complexity, sentence structure, and problem-solving demands to predict the difficulty level with high accuracy.
- Cognitive demands of each question, discerning whether it primarily involves remembering, understanding, applying, analyzing, evaluating, or creating knowledge.
- Mapping item content to the language and requirements of specific standards to facilitate the accurate alignment and metadata generation.
