Simulation of Student Skills: The Novel Technique Based on Quantization of Cognitive Skills Outcomes

To pass a job interview or written examination, students must have a specific set of Cognitive Skills (CS). The effects of frustration (aggression, giving up, loss of self-confidence, and depression) negatively affect these particular skills. Traditionally, a psychologist is invited for a job interview to determine these skills. Thus, there is no existing work which can predict CS outcome of students influenced by the effects of frustration. In the current attempt, we propose a technique that simulates the relationship between CS and frustration effects. Therefore, by quantization, we defined a specific range (0.1< CS<10) for CS and then divided it into 34 periodic CS outcomes with a period of 0.3. Furthermore, Bayesian inference method is used to calculate the posterior probabilities of each outcome of CS under the influence of frustration effects. During the experiments, the proposed technique tested on test dataset that have prior probabilities of CS and frustration effects. The results show that the proposed technique successfully simulated the statistical associations between CS and frustration effects. Finally, we concluded our work by the comparison with other CS predictions techniques.