Groups perform better than the best individuals on Letters-to-Numbers problems

By P. R. Laughlin, Bryan L. Bonner, Andrew G. Miner. 2002

390 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/5d4ec7faec34180529d92b57db7979929e3a76f1

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In Artificial Intelligence

In Statistical and Nonlinear Physics

Citations in the corpus

A Cognitive Load Approach to Collaborative Learning: United Brains for Complex Tasks (2009, background): “When learners had to work with the information elements relevant for carrying out the task, relate them to each other and by doing so come up with a solution to a problem, groups not only outperformed individuals but also the nominal group (Andersson and Ronnberg 1995; Kirschner et al. 2008; Kramer ”
The Social Brain, Language, and Goal-Directed Collective Thinking: A Social Conception of Cognition and Its Implications for Understanding How We Think, Teach, and Learn (2013, background): “I mentioned earlier the assembly bonus effect, discovered by some researchers, whereby the performance of a group is better than that of its best member (Laughlin et al., 2006); and that although the success of group endeavors does not correlate strongly with the average intelligence of group member”
Group Size, Group Development, and Group Productivity (2009, result): “These results support the findings of a number of previous studies (e.g., Gibb, 1951; Gist et al., 1987; Laughlin et al., 2006; Orpen, 1986; Wheelan & McKeage, 1993).”
Making the Black Box of Collaborative Learning Transparent: Combining Process-Oriented and Cognitive Load Approaches (2010, background): “…learning which showed that group learning is superior to individual learning for relatively complex problem-solving tasks (Laughlin et al. 2002; Laughlin et al. 2006) and that individual learning is superior to group learning for relatively simple recall tasks (e.g., Andersson and Rönnberg…”