Étude des comportements-problèmes de 148 adultes atteints de troubles du spectre autistiques institutionnalisés

Objectives

We studied adults with autism spectrum disorder living in a specialized residential care home (n = 148). The participants’ behavioral problems were assessed using the French-language Scale for the Observation of Behavioral Problems in Adults with Autism (Échelle Pour l’Observation des Comportements-problèmes d’Adultes avec Autisme, EPOCAA; Recordon-Gaboriaud & Granier-Deferre). The study's main objectives were to (i) replicate the data from the EPOCAA reference group in a new sample of institutionalized adults, and (ii) study the impact of intellectual disability and medication on the EPOCAA scale. Our first hypothesis was that the severity of intellectual impairment would be associated with a greater likelihood of major behavioural problems. Our second hypothesis was that treatment (or the absence of treatment) with psychotropic and/or anti-epileptic medications would interact with the behavioural problems evaluated on the EPOCAA.

Toward a cumulative science of emotion: a functional-cognitive framework for emotion research

ABSTRACT

Definitions of emotion and emotional phenomena are often infused with intuitions and theoretical ideas about what is “truly” emotional. Although these intuitions and ideas motivate people to study emotion, their prominence at the conceptual level can hamper progress in emotion research. In this paper, we argue that there is merit in defining emotional phenomena as much as possible in terms of behavioural principles that have been developed outside of emotion research. We clarify that such a functional approach is compatible with, and can even strengthen, cognitive approaches to emotion research. This functional-cognitive perspective reveals ways to increase the cumulative nature of emotion research and to surpass initial intuitions and theoretical ideas.     

PALEY'S iPOD: THE COGNITIVE BASIS OF THE DESIGN ARGUMENT WITHIN NATURAL THEOLOGY

The argument from design stands as one of the most intuitively compelling arguments for the existence of a divine Creator. Yet, for many scientists and philosophers, Hume's critique and Darwin's theory of natural selection have definitely undermined the idea that we can draw any analogy from design in artifacts to design in nature. Here, we examine empirical studies from developmental and experimental psychology to investigate the cognitive basis of the design argument. From this it becomes clear that humans spontaneously discern purpose in nature. When constructed theologically and philosophically correctly, the design argument is not presented as conclusive evidence for God's existence but rather as an abductive, probabilistic argument. We examine the cognitive basis of probabilistic judgments in relationship to natural theology. Placing emphasis on how people assess improbable events, we clarify the intuitive appeal of Paley's watch analogy. We conclude that the reason why some scientists find the design argument compelling and others do not lies not in any intrinsic differences in assessing design in nature but rather in the prior probability they place on complexity being produced by chance events or by a Creator. This difference provides atheists and theists with a rational basis for disagreement.     

《老子》美学意蕴的现象学解读

借助现象学存在论阐释，《老子》的美学意蕴展现为：“观”的审美态度，“有无相生”的生存体验，以语言悖论为特征的美学话语。它们奠定了中国美学尤其道家美学的基本形态。     

A teleonomic explanatory scheme

Abstract

The paper takes the form of a dialogue between an advocate of conventional causal modelling (A) and an advocate of an expanded conception of forecasting modelling that unifies causal and teleonomic explanations (B).     

An effective metacognitive strategy: learning by doing and explaining with a computer‐based Cognitive Tutor

Recent studies have shown that self‐explanation is an effective metacognitive strategy, but how can it be leveraged to improve students' learning in actual classrooms? How do instructional treatments that emphasizes self‐explanation affect students' learning, as compared to other instructional treatments? We investigated whether self‐explanation can be scaffolded effectively in a classroom environment using a Cognitive Tutor, which is intelligent instructional software that supports guided learning by doing. In two classroom experiments, we found that students who explained their steps during problem‐solving practice with a Cognitive Tutor learned with greater understanding compared to students who did not explain steps. The explainers better explained their solutions steps and were more successful on transfer problems. We interpret these results as follows: By engaging in explanation, students acquired better‐integrated visual and verbal declarative knowledge and acquired less shallow procedural knowledge. The research demonstrates that the benefits of self‐explanation can be achieved in a relatively simple computer‐based approach that scales well for classroom use.