Understanding of Recent Historical Processes as a Complex Social phenomenon
Author(s):
Claudia Patricia Navarro (presenting / submitting) Jorge Larreamendy
Conference:
ECER 2012
Format:
Poster

Session Information

03 SES 05.5 PS, General Poster Exhibition

General Poster Session during Lunch

Time:
2012-09-19
12:30-14:00
Room:
FCEE - Poster Exhibition Area
Chair:

Contribution

In recent years, social scientists have become increasingly interested in complexity theory to account for some distinctive qualities of social phenomena. Phenomena as diverse as altruism, wealth distribution, and social segregation have been modeled using complex algorithms (Jacobson, 2001, 2006; Jacobson & Wilensky, 2006). Complex systems have defining features that makes them different from other phenomena: multiple causes as opposed to single, direct causes; emergent processes versus circumscribed events; decentralized control versus centralized control; non-proportionality of effects versus proportionality of effects; and randomness of actions versus predictability of actions.

These features, some of which are rather counter-intuitive, have been proposed by educational and psychological researchers to account for the well-documented perseverance and robustness of student misconceptions in scientific domains (Jacobson & Wiliensky, 2006). For example, Chi (2005) has documented extensively the difficulty that novices experience to explain complex phenomena and how they tend to account for emerging phenomena through direct mental models. According to Levy and Wilensky (2004) the difficulty in understanding complex systems (in physics, biology and social fields) lies in the inability to relate phenomena on a micro level (agents) with phenomena observed at the macro level (aggregate). Yet, they have found that apprentices in familiar domains use their prior knowledge and build sublevels (mid-level) to understand aspects of dynamics of complex systems, reducing the amount of information and the number of agents needed to mentally manipulate the phenomenon and so generate plausible explanations of the functionality of the underlying complex system.

This study adds to the existing literature on the understanding of complex systems, by exploring differences between expert and novice explanations about the armed conflict and guerrilla warfare in Colombia, a complex social phenomenon that dates backs almost five decades ago and that despite its centrality in Colombia’s political everyday life is not yet included in school curricula. The student understanding and learning of historical processes and events has been subject of previous research (Carretero, Jaccott & Lopez-Majon, 2005; Hallden, 1994; Leinhardt & McCarthy-Young, 1996; Voss, Carretero, Kennet & Silfies, 1994; Wineburg, 1991, 1999). However, few studies have been conducted about traumatic events in recent history, which are part of collective memory (Carretero y Borrelli, 2010). In terms of learning and teaching strategies about how to explain history, this paper also innovates in the use of complexity theory as analytical framework to explain why historical phenomena as the guerrilla war is difficult to explain.

If we identify how people understand the complexity of war as a complex social phenomenon, we may be well-positioned to design learning environments that may facilitate the understanding of phenomena whose change is not produced by a single entity, but by the interaction and accumulation of many entities in time. In that respect, one of the biggest challenges for the educational system in the area of ​​history in Colombia is to help citizens, children as well as adults, to develop a sophisticated understanding of an armed conflict that is unfortunately part of our everyday life. 

Method

This study used a convenience sample consisting of 27 participants divided into two groups, according to their knowledge of social sciences: a) high-disciplinary knowledge (experts, n = 8), with participants with a doctoral degree and scholarly experience in the area of political science and history; and b) Low disciplinary knowledge (novices, n = 19) comprised of freshman college students. We designed an explanation task that included 10 scenarios or problem situations about the guerrilla war in Colombia. For each of five defining features of complex systems (i.e., multicausality, emerging processes, decentralized control, non-predictability, and non-porportionality), we generated two scenarios that instantiated the target feature in a plausible way. Each scenario or explanation task had the following structure: A context of guerrilla warfare in Colombia, two agents or groups in interaction, a collective behavior, and a question to answer. The participants’ answers to each scenario were transcribed and coded according to the presence or absence of the target defining feature.

Expected Outcomes

We found statistically significant differences between expert and novice explanations with respect to multicausality (x2(n = 54; df = 1 = 9979; p = .002). The novice explanations favored individual factors emblematic of the history of the war, whereas the expert explanations favored structural socio-historical factors, constantly referred to multiple, simultaneous causes, self-organization, and evolution through historical time. The expert explanations were also significantly different from novice explanations with respect to the non-proportionality of causes and effects (x2(n = 54; df = 1) = 5.334; p=.02); so that the behavior of a single agent could generate a great impact on the system of the guerrilla warfare. Contrary to expectations, no significant differences were found in the following categories: decentralized control, emerging processes, and unpredictability. We found that both groups referred, to a certain degree, to properties of complex systems in their explanations. All the explanations included individual behaviors of different agents in interaction. However, the war was difficult to explain because the novices explained the war through offensive-defensive relationships between two opponents. Contrary, the experts explained the war through of networks or cooperation alliance relationships between several agents, levels, and contexts.

References

Carretero, M. & Borrelli, M. (2010). La historia reciente en la escuela: propuestas para pensar históricamente. En Carretero, Mario, y Castorina, José A. (comps.) La construcción del conocimiento histórico. Enseñanza, narración e identidades. Buenos Aires:Paidós. Carretero, M. & Limón, M. (2005). Construcción del conocimiento y enseñanza de las ciencias sociales y la historia. En Mario Carretero (comp.) Construir y ensenar las ciencias sociales y la historia (4 Ed.). (pp. 33-62). Buenos Aires:Aique. Chi, M. T. H. (2005). Commonsense conceptions of emergent processes: Why some misconceptions are robust. Journal of the Learning Sciences, 14, 161–199. Hallden, O. (1994) On the paradox of understanding history in an educational setting. In G. Leinhardt, I.L. Beck, C. Stainton (Eds.), Teaching and learning in history (pp. 27-46). Hillsdale, NJ:Lawrence Erlabaum Associates, Inc. Jacobson, M. & Wilensky, U. (2006). Complex systems in education: Scientific and educational importance and implications for the learning sciences. Journal of the Learning Sciences,15(1),11-34. Leinhardt, G., & McCarthy-Young, K. (1996). Two texts, three readers: Distance and expertise in reading history. Cognition and Instruction 14(4),441-486. Voss, J.F., Carretero, M., Kenner, J., & Silfies, L.N. (1994). The collapse of the Soviet Union: A case study in causal reasoning. In M. Carretero & 1.F. Voss (Eds.), Cognitive and Instructional Processes in History and the Social Sciences (pp. 403-429). Hillsdale, NJ:Erlbaum. Levy, S. & Wilensky, U. (2008). Inventing a “Mid-Level” to Make Ends Meet: Reasoning between the Levels of Complexity. Cognition and Instruction, 26,1–47. Wineburg, S. S. 1999. Historical thinking and other unnatural acts. Phi Delta Kappan 80 (7).488-499. Wineburg, S.S. (1991). Historical problem solving: A study of the cognitive processes used in the evaluation of documentary and pictorial evidence. Journal of Educational Psychology, 83(1),73-87.

Author Information

Claudia Patricia Navarro (presenting / submitting)
Universidad de los Andes
Doctorado en Psicologia
Bogota
Universidad de los Andes, Colombia

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