SHS Web Conf.
Volume 74, 2020The 19th International Scientific Conference Globalization and its Socio-Economic Consequences 2019 – Sustainability in the Global-Knowledge Economy
|Number of page(s)||8|
|Section||Behavioral Economics and Finance|
|Published online||10 January 2020|
Applying behavioural economics in education: study of undergraduate practices of selecting higher educational institutions
EKA University of Applied Sciences, Latvia
2 Turiba University, Latvia
* Corresponding author: email@example.com
Behavioural economics have become hot topic in research and debate in last few decades. In the context of behavioural economics, it is possible to summarize resemblances and create a system based on predication and regularities of errors, by analysing consumer’s behaviour, which allows to solve issues of future process development. In paper “Applying behavioural economics in education: study of undergraduate practices of selecting educational institutions” the authors identify key factors which influence undergraduates to choose higher education institution. The purpose of this paper is therefore to identify key elements of the behavioural economics that can be used to influence undergraduate selection development in favour of higher education institution. Additionally, within the framework of the study are applied insights of behaviour economics, which help guidance general understanding of undergraduate decision making. Particularly focusing on heuristics, that undergraduates are using to ease the complexity of decision making, which can lead to systematic errors and bias. This study per se synopsizes the definite findings of developing behavioural economics, which allows to apply this knowledge to study undergraduate choice in selecting higher educational institution. In this study were used numerous methods, including literature review, interviews with representatives of higher education and behavioural economics experts and surveying undergraduates.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.