scholarly journals Complex Dynamic Systems View on Conceptual Change: How a Picture of Students’ Intuitive Conceptions Accrue From Dynamically Robust Task Dependent Learning Outcomes

2017 ◽  
Vol 14 (2) ◽  
Author(s):  
Ismo T. Koponen ◽  
Tommi Kokkonen ◽  
Maiji Nousiainen
Keyword(s):  
Conceptual Change ◽  
Learning Outcomes ◽  
Dynamic Systems ◽  
Computational Modelling ◽  
Complex Dynamic ◽  
Complex Dynamic Systems ◽  
Intuitive Conceptions ◽  
Context Dependent ◽  
The Stability ◽  
Dependent Learning

We discuss here conceptual change and the formation of robust learning outcomes from the viewpoint of complex dynamic systems (CDS). The CDS view considers students’ conceptions as context dependent and multifaceted structures which depend on the context of their application. In the CDS view the conceptual patterns (i.e. intuitive conceptions here) may be robust in a certain situation but are not formed, at least not as robust ones, in another situation. The stability is then thought to arise dynamically in a variety of ways and not so much to mirror rigid ontological categories or static intuitive conceptions. We use computational modelling to understand the generic dynamic and emergent features of that phenomenon. The model is highly simplified and idealized, but it shows how context dependence, described here by an epistemic landscape structure, leads to the formation of context dependent robust states that can be viewed as attractors in learning, and how owing to the sharply defined nature of these states, learning appears as a progression of switches from one state to another, giving thus the appearance of conceptual change as switches from one robust state to another. Finally, we discuss the implications of the results in directing attention to the design of learning tasks and their structure, and how empirically accessible learning outcomes might be related to these underlying factors.

Synergistic Approach to Enterprise Management

2015 ◽  
Vol 4 (3) ◽  
pp. 4-13
Author(s):  
Заковоротный ◽  
Vilor Zakovorotnyy ◽  
Угнич ◽  
Ekaterina Ugnich ◽  
Флек ◽  
...  
Keyword(s):  
Theoretical Analysis ◽  
Dynamic Model ◽  
Dynamic Systems ◽  
Self Organization ◽  
Enterprise Management ◽  
Economic Systems ◽  
Complex Dynamic ◽  
Complex Dynamic Systems ◽  
Synergistic Approach ◽  
The Stability

The research reveals the peculiarities of synergistic model of enterprise management in market conditions. The possibilities of synergistic approach application towards the study of economic systems are shown in the article. On the basis of theoretical analysis of complex dynamic systems basic rules are identified which must be taken into consideration while examining the enterprise as a system in which the processes of self-organization exist. A generalized dynamic model of an enterprise in market environment is presented. It is carried out the analysis of the established condition of the enterprise as a system and the stability of its stationary state.

scholarly journals Variability as normal as apple pie

2021 ◽  
Vol 7 (s2) ◽  
Author(s):  
Marjolijn Verspoor ◽  
Wander Lowie ◽  
Kees de Bot
Keyword(s):  
Dynamic Systems ◽  
Dynamic Systems Theory ◽  
Complex Dynamic ◽  
Controlled Processes ◽  
Complex Dynamic Systems ◽  
L2 Development ◽  
Limited Degree ◽  
Development Phases ◽  
Longitudinal Case Studies ◽  
Over Time

Abstract In recent studies in second language (L2) development, notably within the focus of Complex Dynamic Systems Theory (CDST), non-systematic variation has been extensively studied as intra-individual variation, which we will refer to as variability. This paper argues that variability is functional and is needed for development. With examples of four longitudinal case studies we hope to show that variability over time provides valuable information about the process of development. Phases of increased variability in linguistic constructions are often a sign that the learner is trying out different constructions, and as such variability can be evidence for change, and change can be learning. Also, a limited degree of variability is inherent in automatic or controlled processes. Conversely, the absence of variability is likely to show that no learning is going on or the system is frozen.

Toward a transdisciplinary integration of research purposes and methods for complex dynamic systems theory: beyond the quantitative–qualitative divide

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Phil Hiver ◽  
Ali H. Al-Hoorie ◽  
Diane Larsen-Freeman
Keyword(s):  
Systems Theory ◽  
Dynamic Systems ◽  
Applied Linguistics ◽  
Integrated Approach ◽  
Dynamic Systems Theory ◽  
Complex Dynamic ◽  
Transdisciplinary Approach ◽  
Complex Dynamic Systems ◽  
Human And Social Sciences ◽  
Starting Point

Abstract Complexity theory/dynamic systems theory has challenged conventional approaches to applied linguistics research by encouraging researchers to adopt a pragmatic transdisciplinary approach that is less paradigmatic and more problem-oriented in nature. Its proponents have argued that the starting point in research design should not be the quantitative–qualitative distinction, or even mixed methods, but the distinction between individual versus group-based designs (i.e., idiographic versus nomothetic). Taking insights from transdisciplinary complexity research in other human and social sciences, we propose an integrative transdisciplinary framework that unites these different perspectives (quantitative–qualitative, individual–group based) from the starting point of exploratory–falsificatory aims. We discuss the implications of this transdisciplinary approach to applied linguistics research and illustrate how such an integrated approach might be implemented in the field.

Use of Measured Mobility to Improve SEA Predictions in the Mid-Frequency Range

1999 ◽  
Author(s):  
Jerome E. Manning
Keyword(s):  
Dynamic Systems ◽  
Broad Band ◽  
Measured Data ◽  
Hybrid Technique ◽  
Complex Dynamic ◽  
Low Frequencies ◽  
Large Variability ◽  
High Frequencies ◽  
Complex Dynamic Systems ◽  
Light Coupling

Abstract Statistical energy analysis provides a technique to predict acoustic and vibration levels in complex dynamic systems. The technique is most useful for broad-band excitation at high frequencies where many modes contribute to the response in any given frequency band. At mid and low frequencies, the number of modes contributing to the response may be quite small. In this case SEA predictions show large variability from measured data and may not be useful for vibroacoustic design. This paper focuses on the use of measured data to improve the accuracy of the predictions. Past work to measure the SEA coupling and damping loss factors has not been successful for a broad range of systems that do not have light coupling. This paper introduces a new hybrid SEA technique that combines measured mobility functions with analytical SEA predictions. The accuracy of the hybrid technique is shown to be greatly improved at mid and low frequencies.

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