Saturday, October 19, 2019
Review of an academic research paper Literature
Of an academic research paper - Literature review Example The objectives and process behind developing effective simulation model have practical approach. The process is emphasizing not only on the participant personality but also on the designers personality which will help in model development. The author has explained the effectiveness of simulation in light of internal, external and educational validity. The subject most emphasized upon in this article is ââ¬Å"educational validityâ⬠and the factors that influence its effectiveness. These factors are (a) simulation design, which emphasizes that simulation should be an accurate representative of the real world; and (b) implementation of simulation, which involves the involvement of participants (Stainton, Johnson & Borodzicz, 2010, p.707). The algorithmic validity and inaccurate representative of real world are the concerned issues. Although the simulation model is excellent, but if it cannot link up with real world scenarios, then such models are useless. Moreover, participants of the simulation should be self-motivated. The participantââ¬â¢s motivation can be assessed by the different motivation theories. So participantââ¬â¢s level of motivation is considered to be the moderating factor, which can increase the learning process. Along with participants, designerââ¬â¢s attribute carry an equivalent weight, while assessing simulation model for its learning effectiveness. Firstly, the designer of the model should be having respective expertise for which the simulation model is being made. Furthermore, designer should be unbiased while constructing the model. The research methodology framework for educational validity assessment has provided guidelines regarding problems that arise while building, implementing, and analyzing the simulation model. It includes formulation objectives, propositions, research designs, and instruments, which will then be analyzed; whether or not these instruments are good predictors of
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