Forecast of a quality indicator in academic activity using statistical methods

Autor: Elena Mereuta, Valentin Amortila, Silvia Veresiu, Daniel Ganea, Madalina Rus
Rok vydání: 2017
Předmět:
Zdroj: MATEC Web of Conferences, Vol 112, p 08008 (2017)
ISSN: 2261-236X
DOI: 10.1051/matecconf/201711208008
Popis: The paper presents the time evolution of an indicator for quality, which is related to self-evaluation of academic staff in technical faculties. The study is focused on two major issues that compose the academic activities: teaching and research activity on one side, and managerial activities on the other side. The aim of the study is to reveal the forecast of self-evaluation using statistical methods and to assess if possible, the minimum accepted value of the quality indicator.
Databáze: OpenAIRE