THE EXPERT SYSTEM OF CONTROL AND KNOWLEDGE ASSESSMENT
Journal Title: Scientific Journal of Astana IT University - Year 2020, Vol 1, Issue 1
Abstract
The article deals with the problem of objective knowledge assessment using expert automated systems for monitoring and evaluating knowledge. The expert systems of control and knowledge estimation are usually developed on the basis of different approaches to constructing a question and answer on test. The analysis of existing testing methods made it possible to conclude that questions with selective and selectively constructed types of answer do not always allow objectively assessing the knowledge of trainees, which reduces the stimulating effect of pedagogical evaluation on cognitive activity of trainees, and the quality of the learning process as a whole. The article proposes a method of knowledge estimation, which is based on a new approach to constructing a question and answer that allows a freely designed form of a test response. Such answer is analyzed by a set of criteria for its formation based on the developed algorithms for the criteria for assessing their quality. This makes it possible to apply the obtained results to solve the scientific problem of objective knowledge assessment using testing. The proposed approach gives an opportunity to expand the functions of tests, thereby increasing the approximation degree of the estimation for the test to the level of the real knowledge of students. The purpose of the article is to justify the effectiveness and develop the expert system of control and knowledge assessment. The article is addressed to a wide range of researchers and experts in the field of education and information technologies.
Authors and Affiliations
V. Golovachyova, N. Tomilova, G. Abildaeva
Keywords
Related Articles
- EP ID EP704394
- DOI 10.37943/AITU.2020.1.63601
- Views 122
- Downloads 1
IMPACT OF THE COVID-19 PANDEMIC ON STUDENTS IN THE REPUBLIC OF KAZAKHSTAN
Kazakhstan, as many other countries in the world had to urgently switch to online learning when it became clear that the Covid-19 was a highly contagious disease and it was necessary to ‘social distance’ to slow down i...
TIME SERIES FORECASTING BY THE ARIMA METHOD
The variety of communication services and the growing number of different sensors with the appearance of IoT (Internet of Things) technology generate significantly different types of network traffic. This implies that...
NEURAL NETWORK MODELING AND OPTIMISING OF THE AGGLOMERATION PROCESS OF SULPHIDE POLYMETALLIC ORES
During the operation of the lead-zinc production while processing of polymetallic ores, problems arose related to the quality of products and the efficient use of equipment – agglomeration furnace and crushing apparatus...
APPLICATION INFORMATION MODELING AND MACHINE LEARNING ALGORITHM FOR CLASSIFICATION OF WASTE USING SUPPORT VECTOR MACHINE
The ecological state of the world is deteriorating for the worse every year. One of the main problems is inadequate waste disposal and inadequate sorting by waste type, which has led to inadequate treatment of bulk was...
ONTOLOGICAL MODEL OF A DATABASE OF INFORMATIONEDUCATIONAL PORTAL OF THE UNIVERSITY
According to the state program “Informational Society 2030”, it is planned to develop education on the basis of new progressive concepts of introducing the latest information technologies and scientific and methodologi...