A Few, and Many
Bibliographic Data
| ID | 12427977 |
|---|---|
| Authors | Paul Schumann (0000-0003-4178-6241, Vantage View (United States), corresponding author) |
| Editors | David Pearce Snyder (0000-0001-5289-5537) |
| Year | 2010 |
| Volume | 18 |
| Issue | 1 |
| Pages | 25-44 |
| Publication date | 2010-01-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | On the Horizon The International Journal of Learning Futures (JOURNAL) |
| Journal identifiers | ISSN: 1074-8121 • E-ISSN: 2054-1708 |
| Publisher | Emerald Publishing Limited (PUBLISHER • GB) |
| DOI | 10.1108/10748121011020985 |
| OpenAlex | W2020505012 |
| Language | EN |
| Citations received | 1 |
| References cited | 4 |
Purpose The purpose of this paper is to: give a brief history of the development of complexity science for people unfamiliar with the details of complexity science; describe the different types of complexity; discuss examples of the types of complexity, and introduce some ideas about how complexity could be introduced into education. Design/methodology/approach This paper summarizes other work in the field of complexity science, and organizes the results in a new way with the intent of making a difficult subject easier for the reader to understand. Findings Two different types of complexity are described – organized and unorganized. The focus of the paper is on organized complexity of which three categories are described – complicated, chaotic and critical. Examples, descriptions and characteristics of each category are given. Practical implications Suggestions are given as to how this transformational science could be integrated into education. Originality/value The paper summarizes other work in the field of complexity science, and organizes the results in a new way with the intent of making a difficult subject easier for the reader to understand
Complexity management · Complexity science · Data science · Field (mathematics · Focus (optics · Management · Management science · Originality · Social science · Sociology · Subject (documents · Transformational leadership · Value (mathematics · World Wide Web · Chaos, Complexity, and Education · Complex Systems and Decision Making · Computer Science · Engineering · Mathematics · Psychology · University-Industry-Government Innovation Models
| Citations per year | 0.07 |
|---|---|
| Citation span | 2012 - 2012 (1) |
| Highly cited | No |