Sandbox University: Estimating Influence of Institutional Action
Author(s) -
Jonas Forsman,
Richard P. Mann,
Cedric Linder,
Maartje van den Bogaard
Publication year - 2014
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0103261
Subject(s) - sandbox (software development) , affect (linguistics) , perspective (graphical) , computer science , identification (biology) , order (exchange) , mathematics education , psychology , data science , artificial intelligence , library science , biology , botany , communication , finance , economics
The approach presented in this article represents a generalizable and adaptable methodology for identifying complex interactions in educational systems and for investigating how manipulation of these systems may affect educational outcomes of interest. Multilayer Minimum Spanning Tree and Monte-Carlo methods are used. A virtual Sandbox University is created in order to facilitate effective identification of successful and stable initiatives within higher education, which can affect students' credits and student retention – something that has been lacking up until now. The results highlight the importance of teacher feedback and teacher-student rapport, which is congruent with current educational findings, illustrating the methodology's potential to provide a new basis for further empirical studies of issues in higher education from a complex systems perspective.
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