Decision Support System for Selecting Cooperation Forms between a Higher Educational Institution and a Potential Student

Bibliografiske detaljer
Parent link:Advances in Computer Science Research
Vol. 51 : Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016).— 2016.— [P. 98-104]
Hovedforfatter: Zakharova A. A. Aleksandra Aleksandrovna
Institution som forfatter: Национальный исследовательский Томский политехнический университет (ТПУ) Юргинский технологический институт (филиал) (ЮТИ) Кафедра информационных систем (ИС)
Andre forfattere: Fisochenko O. N. Oksana Nikolaevna, Aleksandrov A. A. Artem Aleksandrovich
Summary:Title screen
The article deals with some challenges concerning decision support system (DSS) development for selection of a cooperation form between a higher educational institution and potential students. Nowadays Russian higher educational institutions have to compete with each other to attract best potential students to their educational programs. The selection of the most effective cooperation forms with potential students is a problem for higher educational institutions. For better results University activities should be targeted, meet individual peculiarities of potential students. The paper proposes to select a cooperation form with a glance to potential students' ability to study the programme. We have worked out a conception of an automated decision support system for selection of a cooperation form between a higher educational institution and a potential student. We have developed software for DSS main functions: 1. Evaluation model for assessing applicants' ability to study IT programmes on the basis of a discriminant analysis method; 2. Evaluation model for assessing activity effectiveness to select an appropriate activity set for applicants potentially able to study a particular programme. To approbate a proposed approach with the help of DSS we have done an experimental study to select some cooperation forms between Yurga Institute of Technology, Tomsk Polytechnic University affiliate (YuTI TPU) and applicants potentially able to study IT programmes.
Udgivet: 2016
Fag:
Online adgang:http://dx.doi.org/10.2991/itsmssm-16.2016.7
Format: Electronisk Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=653199

MARC

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330 |a The article deals with some challenges concerning decision support system (DSS) development for selection of a cooperation form between a higher educational institution and potential students. Nowadays Russian higher educational institutions have to compete with each other to attract best potential students to their educational programs. The selection of the most effective cooperation forms with potential students is a problem for higher educational institutions. For better results University activities should be targeted, meet individual peculiarities of potential students. The paper proposes to select a cooperation form with a glance to potential students' ability to study the programme. We have worked out a conception of an automated decision support system for selection of a cooperation form between a higher educational institution and a potential student. We have developed software for DSS main functions: 1. Evaluation model for assessing applicants' ability to study IT programmes on the basis of a discriminant analysis method; 2. Evaluation model for assessing activity effectiveness to select an appropriate activity set for applicants potentially able to study a particular programme. To approbate a proposed approach with the help of DSS we have done an experimental study to select some cooperation forms between Yurga Institute of Technology, Tomsk Polytechnic University affiliate (YuTI TPU) and applicants potentially able to study IT programmes. 
461 1 |0 (RuTPU)RU\TPU\network\18167  |t Advances in Computer Science Research 
463 0 |0 (RuTPU)RU\TPU\network\18169  |t Vol. 51 : Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016)  |o III International Scientific Conference, May 23-26, 2016, Tomsk, Russia  |o [proceedings]  |f National Research Tomsk Polytechnic University (TPU) ; eds. O. G. Berestneva, A. Tikhomirov, A. Trufanov  |v [P. 98-104]  |d 2016 
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700 1 |a Zakharova  |b A. A.  |c specialist in the field of informatics and computer engineering  |c Professor of Yurga technological Institute of Tomsk Polytechnic University, Doctor of sciences  |f 1976-  |g Aleksandra Aleksandrovna  |3 (RuTPU)RU\TPU\pers\34678  |9 18028 
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