School of Computing FACULTY OF ENGINEERING School of Computing FACULTY OF ENGINEERING Personalised On-the-Job Reflective Mobile Learning in Fire and Rescue Services Wichai Eamsinvattana Supervisors Dr.Vania Dimitrova (School of Computing) Dr.David Allen (Business School)

School of Computing FACULTY OF ENGINEERING Disconnected from the real context –Simulated environment –Off-site –Not very effective Mobile Learning at Fire and Rescue Services Research Goal and Questions PORML Framework Background Expected Contributions Training at Fire and Rescue Service

School of Computing FACULTY OF ENGINEERING Conditions rapidly change Various aspects (e.g. road traffic, lethal chemicals, people in danger) Previous experience is important Crew commanders risk assessment is crucial Many crew commanders are inexperienced (from M. Caston from Norfolk FRS) Mobile Learning at Fire and Rescue Services Research Goal and Questions PORML Framework Background Expected Contributions What Happens in Reality

School of Computing FACULTY OF ENGINEERING Mobile technology to support decision making at FRS Aimed at decision making but learning is not considered Virtual reality to support reflective learning Learning by reflecting on FRS activities but disconnected from the real environment No research has been conducted to use mobile technologies for reflective on-the-job learning. Mobile Learning at Fire and Rescue Services Research Goal and Questions PORML Framework Background Expected Contributions Existing Approaches

School of Computing FACULTY OF ENGINEERING Mobile Learning at Fire and Rescue Services Research Goal and Questions PORML Framework Background Expected Contributions FRS Scenario PORML Framework Risk Assessment

School of Computing FACULTY OF ENGINEERING Semantic Description of Location Data GML File - Semantic OS Master Map from DigiMap Image Map Place - University of Leeds Create Coordinate (x,y) For User GPS Receiver Coordinate Ontology: Mobile Learning at Fire and Rescue Services Research Goal and Questions PORML Framework Background Expected Contributions