合作数学问题解决与心理模型建构关系研究

合作学习研究者很早就开始关注合作互动中解释的作用。Chi关于自我解释的研究表明解释是一种非常有效果的学习现象,能够起到修补和建立学习者的心理模型的作用。本研究以28名高一学生为被试,采取了两种程序的合作学习任务,研究中虽然没有发现两种程序在问题解决结果上的显著差异,但是却表现出在心理模型建构方面互动效果上的差异,或表现为同等效果下的互动次数有显著性差异。     

基于三角互动模型评判人员选拔的有效性

分析了评判人员选拔的有效性存在的误区,指出评判人员选拔的有效性不应局限于评判素质测评的有效性,还应该全面地评判工作分析、人员管理、绩效评估等环节的有效性。提出了评判人员选拔有效性的三角互动模型,并指出这一模型所揭示的提高人员选拔有效性的途径。     

Burnout and connectedness among Australian volunteers: A test of the Job Demands-Resources model

This study used the Job Demands-Resources (JD-R) model, developed in the context of occupational well-being in the paid workforce, to examine the antecedents of burnout and connectedness in the formal volunteer rural ambulance officer vocation (N = 487). Structural equation modeling using self-reports provide strong evidence for the central assumptions of the JD-R model. The findings confirm that burnout fully mediates the relationship between job demands and health problems (Hypothesis 1), and between job demands and determination to continue (Hypothesis 2). In addition, results show that connectedness fully mediates the relationship between job resources and determination to continue (Hypothesis 3). These findings have important practical implications because of the increasing problem of volunteer recruitment and retention.     

Explaining errors in children's questions

The ability to explain the occurrence of errors in children's speech is an essential component of successful theories of language acquisition. The present study tested some generativist and constructivist predictions about error on the questions produced by ten English-learning children between 2 and 5 years of age. The analyses demonstrated that, as predicted by some generativist theories [e.g. Santelmann, L., Berk, S., Austin, J., Somashekar, S. & Lust. B. (2002). Continuity and development in the acquisition of inversion in yes/no questions: dissociating movement and inflection, Journal of Child Language, 29, 813-842], questions with auxiliary DO attracted higher error rates than those with modal auxiliaries. However, in wh-questions, questions with modals and DO attracted equally high error rates, and these findings could not be explained in terms of problems forming questions with why or negated auxiliaries. It was concluded that the data might be better explained in terms of a constructivist account that suggests that entrenched item-based constructions may be protected from error in children's speech, and that errors occur when children resort to other operations to produce questions [e.g. Dabrowska, E. (2000). From formula to schema: the acquisition of English questions. Cognitive Liguistics, 11, 83-102; Rowland, C. F. & Pine, J. M. (2000). Subject-auxiliary inversion errors and wh-question acquisition: What children do know? Journal of Child Language, 27, 157-181; Tomasello, M. (2003). Constructing a language: A usage-based theory of language acquisition. Cambridge, MA: Harvard University Press]. However, further work on constructivist theory development is required to allow researchers to make predictions about the nature of these operations.     

Model specification search using a genetic algorithm with factor reordering for a simple structure factor analysis model

Abstract:  Many techniques for automated model specification search based on numerical indices have been proposed, but no single decisive method has yet been determined. In the present article, the performance and features of the model specification search method using a genetic algorithm (GA) were verified. A GA is a robust and simple metaheuristic algorithm with great searching power. While there has already been some research applying metaheuristics to the model fitting task, we focus here on the search for a simple structure factor analysis model and propose a customized algorithm for dealing with certain problems specific to that situation. First, implementation of model specification search using a GA with factor reordering for a simple structure factor analysis is proposed. Then, through a simulation study using generated data with a known true structure and through example analysis using real data, the effectiveness and applicability of the proposed method were demonstrated.     

Independence of sampling of motion parallax and binocular disparity in discrimination of depth1

Abstract: The sampling strategy of the visual system in binocular disparity and motion parallax to discriminate depth was investigated. Human observers were asked to discriminate between the depths of two surfaces defined by both cues. Gaussian noise was added to the depths represented by each cue, and the correlation in noise was manipulated. Human performance was compared with two types of likelihood models. The first was based on independent sampling, in which data from the two cues were gathered from independent sets of points in the display. The second was based on paired sampling, in which data from these cues were gathered from the same set of points. The former model yielded a better fit with human performance. This suggests that the visual system is more likely to adopt independent sampling.     

The interaction of perfectionism, perceived weight status, and self-esteem to predict bulimic symptoms: the role of 'benign' perfectionism

The present study sought to replicate an interactive model of global perfectionism, perceived weight status, and self-esteem in predicting bulimic symptom development in a sample of young women [Bardone-Cone, et al. (2006). Predicting bulimic symptoms: An interactive model of self-efficacy, perfectionism, and perceived weight status. Behaviour Research and Therapy, 44, 27-42; Vohs, K. D., et al. (1999). Perfectionism, perceived weight status, and self-esteem interact to predict bulimic symptoms: A model of bulimic symptom development. Journal of Abnormal Psychology, 108, 695-700; Vohs, K. D., et al. (2001). Perfectionism, body dissatisfaction, and self-esteem: An interactive model of bulimic symptom development. Journal of Social and Clinical Psychology, 20, 476-497]. The aim was to investigate the role of 'problematic' and 'benign' perfectionism within this model, using data from 95 female university students over a 3-month period. Contrary to hypotheses, multivariate analyses revealed a significant three-way interaction only between 'benign' perfectionism, perceived weight status and self-esteem in predicting change in bulimic symptoms over a 3-month period. The predictive effect of the interaction between 'benign' perfectionism and perceived weight status on bulimic symptoms was strongest for women with high self-esteem, for whom feeling overweight and having perfectionistic attitudes preceded increased bulimic symptoms. These findings suggest that high self-esteem is insufficient to protect against the development of bulimic symptoms when both the perception of oneself as being overweight, and high levels of perfectionistic standards, are present. It would appear that the role of perfectionism within the context of disordered eating is complex.     

A computational model of event segmentation from perceptual prediction

People tend to perceive ongoing continuous activity as series of discrete events. This partitioning of continuous activity may occur, in part, because events correspond to dynamic patterns that have recurred across different contexts. Recurring patterns may lead to reliable sequential dependencies in observers' experiences, which then can be used to guide perception. The current set of simulations investigated whether this statistical structure within events can be used 1) to develop stable internal representations that facilitate perception and 2) to learn when to update such representations in a self-organizing manner. These simulations demonstrate that experience with recurring patterns enables a system to accurately predict upcoming stimuli within an event, to identify boundaries between such events based on transient increases in prediction error, and to use such boundaries to improve prediction about subsequent activities.     

Situated language understanding as filtering perceived affordances

We introduce a computational theory of situated language understanding in which the meaning of words and utterances depends on the physical environment and the goals and plans of communication partners. According to the theory, concepts that ground linguistic meaning are neither internal nor external to language users, but instead span the objective-subjective boundary. To model the possible interactions between subject and object, the theory relies on the notion of perceived affordances: structured units of interaction that can be used for prediction at multiple levels of abstraction. Language understanding is treated as a process of filtering perceived affordances. The theory accounts for many aspects of the situated nature of human language use and provides a unified solution to a number of demands on any theory of language understanding including conceptual combination, prototypicality effects, and the generative nature of lexical items. To support the theory, we describe an implemented system that understands verbal commands situated in a virtual gaming environment. The implementation uses probabilistic hierarchical plan recognition to generate perceived affordances. The system has been evaluated on its ability to correctly interpret free-form spontaneous verbal commands recorded from unrehearsed game play between human players. The system is able to "step into the shoes" of human players and correctly respond to a broad range of verbal commands in which linguistic meaning depends on social and physical context. We quantitatively compare the system's predictions in response to direct player commands with the actions taken by human players and show generalization to unseen data across a range of situations and verbal constructions.