Modeling a Knowledge Domain for a Maritime Course

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Modeling a Knowledge Domain for a Maritime Course - Presentation Transcript

  1. MODELING A KNOWLEDGE DOMAIN FOR A MARITIME COURSE Kalyan Chatterjea, Singapore Maritime Academy, Singapore & Takeshi Nakazawa, World Maritime University, Malmö, Sweden
  2. Introduction
    • Concept-mapping in a maritime course can lead to knowledge modeling
    • It can change the traditional ways of teaching and learning
    • Process could lead to an enriching KBS
    • The paper relates a case study at the Singapore Maritime Academy (SMA), spanning a period of about three years
  3. Introduction
    • Rapid changes in technology & changes in operating procedures on ships make updating of course material difficult in a maritime training institute.
    • A new course model based on concept map is now being used at Singapore Maritime Academy to address this problem.
  4. Introduction
    • Learners develop concept maps from existing literature as well as from shipboard practices, which are captured, when the learners are on attachment at sea.
    • Replacing lectures with active learning was made possible through the use of CmapTools and a classroom infrastructure, which is very different from traditional classrooms.
  5. Case Study @ SMA
    • Case study relates our experience at the Singapore Maritime Academy (SMA) with a group of senior engineers from ships.
    • They are qualified to operate ships with diesel propulsion and are doing this conversion course at SMA for gaining proficiency in running of LNG carriers with steam propulsion .
    • We have already completed our 4th Cohort of trainees.
  6. Case Study @ SMA
    • We have been developing a CmapTools-based dynamic knowledge course model to run and administer all aspects of this conversion course.
    • Knowledge model includes (all stored in Views )
      • learning content,
      • formative assessment,
      • knowledge creation and capture,
      • summative assessment,
      • feedback and general course administration
  7. Case Study @ SMA – Polyscopic Modeling
    • Our model is based on Polyscopy++ , which allows
      • Creation of multiple ways of looking at stored information or scopes.
      • Generation of an information repository [CmapTools Views ] & from which multiple perspectives are generated for various learning objectives using multiple visual concept maps
      • Generation of multiple viewpoints for different groups of learners.
      • ++ after Dino Karabeg
  8. Case Study @ SMA – KBS Structure
  9. Case Study @ SMA – KBS Structure ++ ++ Ferguson-Hessler and de Jong, 1990; Cañas and Novak, 2005, 2006, 2008 Safayeni, et al., 2005 .
  10. Case Study @ SMA – KBS Structure
  11. Case Study @ SMA – KBS Structure
  12. Case Study @ SMA – KBS Structure: Background Knowledge
    • The established ontological structure of the subject domain is made using Expert Skeletal Maps ++
      • They provided a a set of byte-size information, which can be easily handled by the learners & lead them through the practitioners‘ pathways
      • Subsequently, the maps were extended by the learners as they understood the subject better
      • The maps were later iterated for improvement and finally socially validated for acceptance
      • ++ Novak & Cañas (2004)
  13. Case Study @ SMA – KBS Structure: Handling Skill
    • Sequential concept map was used for 20 simulation exercises
      • For each exercise, embedded resources provide the knowledge support.
      • The map serves the purpose of an Advanced Learning Organizer ++
      • It provides spatially distributed context-base resources to support individual knowledge management.
      • ++ Ausubel, 1960; Willerman & Mac Harg, 1991
  14. Case Study @ SMA – KBS Structure: Skill Learning
  15. Case Study @ SMA – Traditional Classroom
    • Traditional classrooms with computers & projectors
      • Use predominantly Transmission Mode of Learning
  16. Case Study @ SMA – Knowledge Lab Arrangement 1 – Projector, 2 – LAN with knowledge nodes, 3 – Students (in pair) connected to KBS, assessment & simulation servers, 4 – Students debating to validate shipboard procedures, 5 – Facilitator, 6 – Student computers on LAN, 7 –Knowledge, simulation & assessment servers, 8 – Cambridge-Hitachi knowledge-capture screen (FX77)
  17. Case Study @ SMA – Conclusion
    • The four cohorts of students (a total of 37 participants) developed a course structure with guidance from the course facilitator.
      • Even though the learners came with limited IT exposure, they learned to use CmapTools within a period of few days using mainly the Help files provided with the CmapTools program.
      • However, in general, the younger learners were more productive than their senior counterparts, who needed a lot more support and encouragement from the facilitator.
  18. Case Study @ SMA – Conclusion
    • According to Novak and Cañas (2008), knowledge creation by individuals facilitates the process of learning for the learners.
      • It is expected that this new course model will impart a more meaningful learning for the learners.
      • A longitudinal study is required to establish the true usefulness of this approach of constructivist learning.

+ Kalyan ChatterjeaKalyan Chatterjea, 2 years ago

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