Probabilistic Modeling of Academic Dishonesty via Markov Chains
نویسندگان
چکیده
Academic dishonesty is modeled via Markov chains. The case of student behavior in class assignments, quizzes and exams is analyzed in modeling examples with various levels of surveillance. The choice of modeling based on surveillance and sanctions is motivated by the research literature on the deterrence theory analysis of cheating. In addition, it is shown how surveillance and sanctions could be controlled to achieve the desired degree of intervention with the least intrusion. This could also be used to formulate optimal university policies regarding academic dishonesty.
منابع مشابه
Probabilistic Sufficiency and Algorithmic Sufficiency from the point of view of Information Theory
Given the importance of Markov chains in information theory, the definition of conditional probability for these random processes can also be defined in terms of mutual information. In this paper, the relationship between the concept of sufficiency and Markov chains from the perspective of information theory and the relationship between probabilistic sufficiency and algorithmic sufficien...
متن کاملThe Relationship between Moral Characters and Academic Dishonesty in Students: The Mediating Role of Moral Disengagement
Academic dishonesty is one of the important challenges of educational centers. In the present study, the role of moral disengagement mediators’ in the relationship between moral characters and academic dishonesty was investigated. The present study is a correlation study. The statistical population included all students of Shiraz University and the participants were 246 students selected by ran...
متن کاملThe Mediating Role of Parental Non-Involvement to Goals of Progress With Academic Dishonesty in Students
Objective: This study aims to investigate the mediating role of parental non-involvement in relation to goals of progress with academic dishonesty in students. Methods: This is a correlational study in which the relationships between the variables of the proposed model were investigated using the structural equation modeling method. The statistical population included all female high school s...
متن کاملEstimation of the Entropy Rate of ErgodicMarkov Chains
In this paper an approximation for entropy rate of an ergodic Markov chain via sample path simulation is calculated. Although there is an explicit form of the entropy rate here, the exact computational method is laborious to apply. It is demonstrated that the estimated entropy rate of Markov chain via sample path not only converges to the correct entropy rate but also does it exponential...
متن کاملEvaluation of First and Second Markov Chains Sensitivity and Specificity as Statistical Approach for Prediction of Sequences of Genes in Virus Double Strand DNA Genomes
Growing amount of information on biological sequences has made application of statistical approaches necessary for modeling and estimation of their functions. In this paper, sensitivity and specificity of the first and second Markov chains for prediction of genes was evaluated using the complete double stranded DNA virus. There were two approaches for prediction of each Markov Model parameter,...
متن کامل