创造性智力的验证性因素分析

本研究旨在以心理测最的方法构建创造性智力的维度。在理论构想的基础上自编创造性智力测试,以大学生为被试,然后时测试结果进行验证性因素分析。经过修正得到创造性智力结构的二阶四维同质性模型,由此创造性智力的结构可以从四个维度去描述,即假设检验、顿悟思维、创新设计和定势-批判。     

Teachers facing school failure: the social valorization of effort in the school context

This paper describes two studies concerning teachers’ classroom interventions facing school failure. The role of two main variables is investigated: the lack of effort as a cause of failure students are held responsible for by teachers, and teacher’s social representations of intelligence. The first study (Study 1) explored the impact of “lack of effort” causal attribution for student’s failure on the intervention strategies adopted by 122 high school teachers. Study 2 analyzed the impact of social representations of intelligence, held by 202 high school teachers, on “lack of effort” causal inference and on behavioral interventions. Results highlight that teachers mostly choose more severe educational interventions with retributive purpose when failure is ascribable to an absence of effort expenditure by the student. Moreover, the findings support the role of teachers’ social representations of intelligence in failure explanations and in educational practices, showing that “lack of effort” attribution and practices with retributive purpose are predicted by the social representation of intelligence “as a gift”. Results are analyzed and discussed by considering the effort as a normative parameter of the school environment. This research was supported financially in part by MURST “University funds, 2004 (Ex 40%)”. Portions of these results were presented at the 8th International Conference on Social Representations, Rome.     

Are You Alive? Sensor Data as a Resource for Social Interaction

This paper presents findings from the field test of a prototype device that collects heart rate sensor data and displays it for users. The prototype was tested on a football team, including teenage players, their parents and coaches. The findings include notes on user expectations related to the technology and detailed analyses of the social interactions that took place during the test. The paper concludes with design implications relating to this application, but also poses challenges for context-aware computing and machine intelligence in general.