title: ÐÑÐ¸ÑÐ¸Ð½Ð½Ð¾-ÑÐ»ÐµÐ´ÑÑÐ²ÐµÐ½Ð½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ Ð´Ð»Ñ Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸ Ð¿ÑÐ¾ÐµÐºÑÐ° Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¸Ð²Ð»ÐµÐºÐ°ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸ Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ¾Ð²
title: A causal model for the preparation of a project to increase the attractiveness of the bachelor's degree program
Creators: name: Ð§ÑÐ¹ÐºÐ¾, Ð®Ð»Ð¸Ñ
name: "Ð£Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ Ð¸Ð½Ð½Ð¾Ð²Ð°ÑÐ¸ÑÐ¼Ð¸ Ð² ÑÑÐ»Ð¾Ð²Ð¸ÑÑ  ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ ÑÑÐ°Ð½ÑÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸", Ð²ÑÐµÑÐ¾ÑÑÐ¸Ð¹ÑÐºÐ°Ñ ÑÑÑÐ´ÐµÐ½ÑÐµÑÐºÐ°Ñ ÑÑÐµÐ±Ð½Ð¾-Ð½Ð°ÑÑÐ½Ð°Ñ ÐºÐ¾Ð½ÑÐµÑÐµÐ½ÑÐ¸Ñ (2023; Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³)
Publisher: name: ÐÐÐÐÐ¢ÐÐ¥-ÐÐ ÐÐ¡Ð¡
Year: 2023
Subjects: Ð¿ÑÐ¸ÑÐ¸Ð½Ð½Ð¾-ÑÐ»ÐµÐ´ÑÑÐ²ÐµÐ½Ð½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ
Ð¿ÑÐ¸ÑÐ¸Ð½Ð½Ð¾-ÑÐ»ÐµÐ´ÑÑÐ²ÐµÐ½Ð½Ð°Ñ Ð´Ð¸Ð°Ð³ÑÐ°Ð¼Ð¼Ð°
Ð¿ÑÐ¸ÐµÐ¼Ð½Ð°Ñ ÐºÐ°Ð¼Ð¿Ð°Ð½Ð¸Ñ
Ð²ÑÑÑÐµÐµ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ðµ
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ÑÐ¸ÐºÐ»Ñ Ð¾Ð±ÑÐ°ÑÐ½ÑÑ ÑÐ²ÑÐ·ÐµÐ¹
causal model
causal diagram
admission campaign
higher education
applicants
feedback loops

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description: The article is devoted to the construction of a causal model for preparing for the implementation of a project to increase the attractiveness of the correspondence educational direction of bachelor's degree of Peter the Great St. Petersburg Polytechnic University for applicants. The aim of the study is to form a causal model with a graphical description of the mutual influence of factors related to the attractiveness of the educational direction. In the article, on the basis of scientific articles on the functioning of universities and admission campaigns, documents on the work of universities, a causal diagram is constructed, 15 cycles and 4 groups of factors stratified by the degree of exposure to influence within the framework of the project to increase the attractiveness of the educational direction are identified. Research methods: analysis, classification, abstraction. Further development of the topic can be aimed at describing and formalizing the identified feedback cycles and practical verification of the adequacy of the causal model.