School of Computing FACULTY OF ENGINEERING School of Computing FACULTY OF ENGINEERING Personalised On-the-Job Reflective Mobile Learning in Fire and Rescue.

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Presentation transcript:

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 School of Computing FACULTY OF ENGINEERING Presentation Plan Mobile Learning at Fire and Rescue Services –Challenges and Current Practices Research goal and questions PORML Framework Background –Theories & Technologies Expected Contributions

School of Computing FACULTY OF ENGINEERING M-learning: The acquisition of any knowledge and skills through using mobile technology, anywhere, anytime, that results in an alteration in behaviour (Geddes, 2004) Main Challenge: Need for creative scenarios and applications to integrate m-learning in everyday work practices and tasks. (Frohberg, 2006) Characteristics of effective m-learning: –knowledge access directly linked to the current user activities –educational material collected or available on the field –learning experiences placed in the current user context (Trifonova, 2003) Mobile Learning at Fire and Rescue Services Research Goal and Questions PORML Framework Background Expected Contributions Mobile Learning Challenges

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 imprtant Crew commanders risk assessment is crucial Many crew commanders are inexperienced (from M. Casten 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 Goal: Design personalised mobile learning environments to support reflective on-the-job learning in FRS: –Users: Crew Commanders –Skills: Risk Assessment Research questions: –How to model the user and context considering on-the-job activities of FRS crew commanders, semantic location-based information, and users experiences? – How can these models be used to promote reflection on the risk assessment skills after an incident has finished, by taking into account the current activity and adapting to a crew commanders experience and skills? Mobile Learning at Fire and Rescue Services Research Goal and Questions PORML Framework Background Expected Contributions Research Goal and Questions

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

School of Computing FACULTY OF ENGINEERING Activity Theory (Engestrom, Kofod-Petersen): to define what context aspects are related to the current user activity Conversational Theory(Pask, Taylor): To organise the interaction between the learner and technology Reflection-on-action Model (Shon, Dewey): To decide what reflective questions can be asked and how Mobile Learning at Fire and Rescue Services Research Goal and Questions PORML Framework Background Expected Contributions Underpinning Theories

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

School of Computing FACULTY OF ENGINEERING A novel framework for personalised mobile learning to support FRS risk assessment training by integrating on-the-job activities, location-based information, and users experiences. A prototype of a mobile application which uses custom built services from the framework in an illustrative FRS scenario. Mobile Learning at Fire and Rescue Services Research Goal and Questions Background PORML Framework Expected Contributions

School of Computing FACULTY OF ENGINEERING School of Computing FACULTY OF ENGINEERING Questions & Answers Thank you!