Output details

A conversational intelligent tutoring system to automatically predict learning styles

<22>A novel Conversational Intelligent Tutoring System (CITS) that delivers a real-time natural language tutorial, enabling learners to ask questions and learn from hints and instantaneous intelligent feedback. Core work from Latham PhD thesis (successfully defended November 2011). Describes first CITS to model an individual’s learning style implicitly during a tutorial, and first methodology for constructing a CITS. The work has impact on flexible learning; at MMU under/post-graduates have 24/7 access to personalised learning for SQL. Experiments conducted in a live teaching/learning environment. Awarded £5000 from MMU Knowledge Exchange Innovation & Fund (January 2013) to consider commercialisation.