Intelligent Decision Support System for Assessing Works with Free Response based on Production Model

Works with free response are usually used in training, as well as in engineering education. These works assessment faces a lot of challenges, especially in conditions of online learning. The use of criteria system underlies the formation of a score for work with free response. In the case of works like essays the assessment can be made without the participation of expert-tutor by means of automated essay scoring systems. In the other cases his engagement is required, and the assessment takes place usually manually with the use of a rubric. This procedure is very long and labour-intensive for tutors, particularly with the large number of works, which are to be assessed as quickly as possible. The challenge is further amplified by iterativeness of assessment procedure which is typical, for example, to term papers, productive and pre-diploma practice reports actively used in engineering education when students are as close as possible to real tasks implementation. Another question arises, because work assessment is carried out without consideration for work correction characteristics, that is why a formed score is inaccurate. A student work with free response assessment model based on production model that takes into account the efficiency of work correction made by student, and whose application allows to ease the formation of a score for work with free response, is proposed in the paper. The assessment model is implemented in an intelligent decision support system, which was used in assessing pre-diploma practice reports in Ufa State Aviation Technical University during online learning.