Learning Exercise: handling human social-technical dimension in particular man-system interface including positioning technology at man services
In the “learn by doing” world of serious games, learners are frequently called upon to “do” things that results in the generation of content. In fact, learner generated content will be recognized as one of the principle design mechanisms for learners to demonstrate mastery of a game’s learning objectives. What tools will learners use? What standards will apply? What new learning approaches may or may not result as a function of this technical capability? Proposed modelling corresponds to the request : handling human social-technical dimension in particular man-system interface including positioning technology at man services. Simulation is used to trigger iterative interactions and create required environment for virtual learning. Many objectives should be targetted: 1. Engine should trace “player” behavior, evaluate its capabilities and quickly meet its needs. 2. Immersion generated by simulation enables training and experimentation of behavior strategies, in particular learning “by doing”. Learning by doing signifies that “players” should generate a content which contribute to control current simulation objectives. Engine should use following resources: a) tools to be experimented by trainers. b) applied standards. c) new learning approaches discovery through obtained results, whether these approaches are positive or negative, in the sense of improving technology performance.
Course: Web service ontology engineering
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handling human social-technical dimension in particular man-system interface including positioning technology at man services
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- Graduate School