# Automated Item Generation - [@gierlAutomaticItemGeneration2012] introduced theories and practices in AIG field. ## Concepts - Weak and Strong - Weak Theory AIG: items are generated from models/templates, always vary only names and numbers, never underlying logic. Mostly seeking to produce clones. - Strong Theory AIG: adopt explicit cognitive models -- formal explanations of how students reason through the task. ## Methods - Item models/templates: "if a train leaves city X at \_\_ mph..." - Item shells ("cloning"): "A patient presents with \[symptom set\]... what is the most likely diagnosis?" - Facet design: mapping out every possible way an item can vary in a domain. - Concept based: generating items to test concept understanding. - [[llm-assisted-aig|LLM assisted]]