Computerized Adaptive Testing and Learning for Cognitive Diagnosis (CATL-CD), recently developed by the PI, is an app for E-learning that combines online instruction with close monitoring of students’ learning progress. After every curricular unit each student is presented with an individualized set of items to assess which topics she has mastered and which require further study. The first version of CATL-CD is currently used for the PI’s online course in Introductory Statistics. We propose to build an algorithm for the automatic generation of test items—called “item-cloning”—to secure the supply of large numbers of test items needed for CATL-CD.