Abstract

Systems thinking has become synonymous to developing coherent understanding of complex biological processes and phenomena from the molecular level to the level of ecosystems. The importance of systems and systems models in science education has been widely recognized, as illustrated by its definition as crosscutting concept by the Next Generation Science Standards (NGSS, 2013). However, there still seems no consensus on what systems thinking exactly implies or how it can be fostered by adequate learning and teaching strategies. This paper stresses the theoretical or abstract nature of systems thinking. Systems thinking is not just perceived here as ‘coherent understanding’, but as a learning strategy in which systems theoretical concepts are deliberately used to explain and predict natural phenomena. As such, we argue that systems thinking is not to be defined as a set of skills, that can be learned ‘one by one’, but instead asks for consideration of systems characteristics and the systems theories they are derived from. After a short elaboration of the conceptual nature of systems thinking, we portray the diversity of educational approaches to foster systems thinking that have been reported in the empirical literature. Our frame of analysis focuses on the extent to which attention has been given to the matching of natural phenomena to one of three systems theories, the integration of different systems thinking skills and the role of modelling. Subsequently, we discuss the epistemological nature of the systems concept and we present some conclusions on embedding systems thinking in the secondary biology curriculum.

Highlights

  • Modern science has made so many advances that the quantity of “basic” science to be taught in the classroom tends to increase every year

  • According to NGSS Lead States (2013, p.79) systems thinking can be seen as a crosscutting concept, namely “systems and system models,” that “helps students deepen their understanding of the disciplinary core ideas, and that helps students to develop a coherent and scientifically based view of the world.”

  • We are dealing with three systems theories, the General Systems Theory (GST), cybernetics and dynamic systems theory, each focusing on different aspects of biological systems

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Summary

INTRODUCTION

Modern science has made so many advances that the quantity of “basic” science to be taught in the classroom tends to increase every year. A remarkable finding in their study was that four out of five analyzed studies did not include the identification of the system to be learned and the distinction of its (system) boundaries In our view, this is questionable, as thinking back and forth between the system as a whole and its components is a key aspect of acquiring a coherent understanding of biological phenomena. The main aim of this paper is to provide a reasoned definition of systems thinking (perspectives), taking into account the different conceptual nature of the three systems theories. This will result in educational implications that may be useful for forthcoming empirical studies. We present conclusions on embedding systems thinking in the secondary biology curriculum

THE CONCEPTUAL NATURE OF SYSTEMS THINKING
General systems theory
The three described systems theories present a conceptual
Categorization of the Diversity of Studies in Systems Thinking
THE EPISTEMOLOGICAL NATURE OF THE SYSTEMS CONCEPT
EDUCATIONAL IMPLICATIONS OF THE THEORETICAL NATURE OF SYSTEMS THINKING
Promising Perspectives on Systems Thinking
The Distinction Between Empirical and Theoretical Concepts
CONCLUSION AND DISCUSSION
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