Evidence for social learning in wild lemurs (Lemur catta)

Interest in social learning has been fueled by claims of culture in wild animals. These remain controversial because alternative explanations to social learning, such as asocial learning or ecological differences, remain difficult to refute. Compared with laboratory-based research, the study of social learning in natural contexts is in its infancy. Here, for the first time, we apply two new statistical methods, option-bias analysis and network-based diffusion analysis, to data from the wild, complemented by standard inferential statistics. Contrary to common thought regarding the cognitive abilities of prosimian primates, our evidence is consistent with social learning within subgroups in the ring-tailed lemur (Lemur catta), supporting the theory of directed social learning (Coussi-Korbel & Fragaszy, 1995). We also caution that, as the toolbox for capturing social learning in natural contexts grows, care is required in ensuring that the methods employed are appropriate-in particular, regarding social dynamics among study subjects. Supplemental materials for this article may be downloaded from http://lb.psychonomic-journals.org/content/supplemental.     

Assertion‐reason multiple‐choice testing as a tool for deep learning: a qualitative analysis

This paper reflects on the ongoing debate surrounding the usefulness (or otherwise) of multiple‐choice questions (MCQ) as an assessment instrument. The context is a graduate school of business in Australia where an experiment was conducted to investigate the use of assertion‐reason questions (ARQ), a sophisticated form of MCQ that aims to encourage higher‐order thinking on the part of the student. It builds on the work of Connelly (2004 Connelly, L. B. 2004. “Assertion‐reason assessment in formative and summative tests: results from two graduate case studies”. In Educational innovation in economics and business VIII: pedagogy, technology and innovation, Edited by: Ottewill, R., Borredon, E., Falque, L., Macfarlane, B. and Wall, A. 359–378. Dordrecht: Kluwer Academic Publishers.  [Google Scholar]) which produced a quantitative analysis of the use of ARQ testing in two economics course units in a flexibly‐delivered Master of Business Administration (MBA) program. Connelly's main findings were that ARQ tests were good substitutes for the more conventional type of multiple‐choice/short‐answer type questions and, perhaps more significantly, ARQ test performance was a good predictor of student performance in essays—the assessment instrument most widely favoured as an indicator of deeper learning. The main focus of this paper is the validity of the second of these findings, analysis of questionnaire data casting some doubt over whether student performance in ARQ tests can, indeed, be looked upon as a sound indicator of deeper learning—student reactions and opinions suggesting instead that performance might have more to do with one's proficiency in the English language.     

The achievement gap: The impact of between-class attainment grouping on pupil attainment and educational equity over time

Despite extensive research on attainment grouping, the impact of attainment grouping on pupil attainment remains poorly understood and contested. This paper presents evidence from a study conducted with 2944 12–13 year olds, from 76 schools in England, who were allocated to between-class attainment groups (‘setting’) in English and mathematics over the first 2 years of secondary schooling. After controlling for prior attainment, pupils in the top set performed significantly better than pupils in the middle and bottom sets in both English and mathematics. The findings indicate a widening gap in attainment, especially in the case of English. Findings, especially in the case of mathematics, provide more evidence of a relative benefit for pupils placed in top sets than a relative detriment for those in bottom sets.