Search academic texts

Information × Registration Number 2112U006115, Article popup.category Стаття Title Intelligent information technologies implementation to the process of professional self-identification (AI translated) popup.author Aznaurian IrynaYeremenko BohdanRiabchun YuliiaPloskiy VitaliiMezzane DaoudKryvinska NataliaAznaurian IrynaYeremenko BohdanRiabchun YuliiaPloskiy VitaliiMezzane DaoudKryvinska Natalia popup.publication 01-03-2012 popup.source_user Київський національний університет будівництва і архітектури popup.source https://repositary.knuba.edu.ua/handle/987654321/8725 popup.publisher CEUR Workshop Proceedings Description The latest learning technologies implementation, based on new approaches to the presentation and acquisition of knowledge, requires appropriate modern methods of assessment. The search for perfect methods for assessing the abilities of entrants and students at the present stage of information technology development is extremely important, because the objectification of the assessment process, providing feedback, provides an opportunity to coordinate the development of personality. The main attention in this paper is directed on the decision of questions of professional orientation by means of testing which assumes performance of game tasks of a professional direction. The research presents a conceptual model of a specialized intelligent system, which is designed to support the decision of the applicant to choose a specialty of higher education institution of construction profile. The paper also shows fragments of the system with professional game tasks, which reflect the level of spatial imagination of the individual and the ability to perform functional duties in accordance with the personnel requirements of different professions of construction. The formation scheme of the recommendatory conclusion on results of performance of these tasks is offered the mechanism of fuzzy inference of the recommendatory conclusion is shown. Clear and fuzzy criteria are proposed that can be used to justify the recommendation conclusion. The possibility of using the fuzzy artificial neural network Takagi-Sugeno-Kang to setup the parameters of the model used to reflect certain professional abilities of the individual is shown. popup.nrat_date 2026-04-20 Close