OnLine Assessments for Teaching Artificial Intelligence

The principal outcome of this project is a pool of 107 questions which are available from the url http://www.cems.uwe.ac.uk/~jsmith/rlo . They are packaged as zip archives of xml files, which can be directly imported into blackboard, or into other formats by using a suitable xml translator such as those available in Respondus (www.respondus.com).

The pool has been designed to provide a wide range of different question types including multiple choice, multiple answer, numerical calculation, missing blanks, jumbled sentences, matching and ordering.

The questions cover a range of topics in Artificial Intelligence, and each question is tagged with meta data concerning its primary topic (introduction, philosophy, search, knowledge representation, problem representation, artificial neural networks, evolutionary computation} and level of difficulty (easy, moderate, difficult). The questions have been extensively tested and refined via their use for weekly formative assessment in a level 1 undergraduate module “Introduction to Artificial Intelligence” with 103 student users. To this end, they also contain extensive feedback to aid their use in formative as well as summative assessment.