With the growth of digital media, learners are presented with multiple options to choose from when looking for resources to learn from. Learning that happens during searching for items to learn from is called Search-as-Learning (SaL). Recommender Systems (RS) can aid in SaL by reducing information overload and providing item suggestions. An…

The purpose of this study is to describe a methodology to recover the item model used to generate multiple-choice test items with a novel graph theory approach. Beginning with the generated test items and working backward to recover the original item model provides a model-based method for validating the content used to automatically generate test…

As automated scoring of complex constructed-response examinations reaches operational status, the process of evaluating the quality of resultant scores, particularly in contrast to scores of expert human graders, becomes as complex as the data itself. Using a vignette from the Architectural Registration Examination (ARE), this article explores the…