ERIC Number: ED250382
Record Type: RIE
Publication Date: 1982
Reference Count: 0
A Bayesian Model for Determining Levels of Student Mastery.
Schmalz, Steve W.; Cartledge, Carolyn M.
During the last decade the use of Bayesian statistical method has become quite prevalent in the educational community. Yet, like most statistical techniques, little has been written concerning the application of these methods to the classroom setting. The purpose of this paper is to help correct such a deficiency in the literature by developing a statistical model using Bayesian concepts which will be of practical use in the classroom. Specifically, the authors develop and discuss a method for using the Bernoulli process in determining the probability of a student reaching a certain level of mastery in a given subject area in which the predetermined prior probabilities and the resultant posterior probabilities are expressions of the probability of a student attaining some level of mastery. Operationally each level of mastery is interpreted as a probability that a student will answer any given question from that topic correctly. (Author)
Publication Type: Reports - Research
Education Level: N/A
Audience: Teachers; Practitioners
Authoring Institution: N/A
Identifiers: Bernoulli Theorem