Bayesian estimation for assessment based learning ICT

Incorporating Information Technology and Communication (ICT) in education improves the level with sophisticated tools to increase a competence system in education. Bayes theorem is valid in all applications of the probability theory. In essence, the followers of traditional statistical probabilities only support repeatable experiments and have empirical confirmation while so-called Bayesian statistics allow subjective probabilities. The theorem can then serve to indicate how our subjective probabilities should be modified when receiving additional information from an experiment. Bayesian statistics prove their utility in certain estimates based on the subjective prior knowledge and reviews these estimates based on the empirical evidence. This feature is opening up new ways of understanding. This situation has had a strong tendency envisioned by offering new interpersonal communication systems worldwide and obtains and provides information of all kinds, instantaneously. This paper shows the tests performed in a study to measure learning under a Bayesian approach.