青少年责任心人格、互联网服务偏好与"网络成瘾"的关系

研究发现在对PIU的影响上,责任心人格与互联网社交使用偏好存在显著的交互作用,但与互联网娱乐、信息和交易服务不存在显著的交互作用:(1)从平均影响来看,互联网社交、娱乐和交易使用偏好能够正向预测网络成瘾,责任心人格对网络成瘾有显著的反向预测效果,而互联网信息使用偏好对网络成瘾没有显著的预测效果;(2)在责任心高分组中,互联网社交服务偏好与PIU卷入程度是一种正向的关系,而在责任心低分组中则相反。     

How generative drawing affects the learning process: An eye‐tracking analysis

Generative drawing is a learning strategy in which students draw illustrations while reading a text to depict the content of the lesson. In two experiments, students were asked to generate drawings as they read a scientific text or read the same text on influenza with author‐provided illustrations (Experiment 1) or to generate drawings or write verbal summaries as they read (Experiment 2). An examination of students' eye movements during learning showed that students who engaged in generative drawing displayed more rereadings of words, higher proportion of fixations on the important words, higher rate of transitions between words and workspace, and higher proportion of transitions between important words and workspace than students given a text lesson with author‐generated illustrations (Experiment 1) or students who were asked to write a summary (Experiment 2). These findings contribute new evidence to guide theories for explaining how generative drawing affects learning processes.     

Is the seductive details effect moderated by mood? An eye‐tracking study

According to the seductive details (SD) effect, interesting, but irrelevant information in learning materials reduces learning outcomes. Basic research suggests that subjects in positive mood are more distractible by task‐irrelevant stimuli than subjects in negative mood. Hence, mood could moderate the SD effect. We tested this assumption by comparing eye movements to seductive pictures in participants in positive versus negative mood. As expected, participants in positive mood fixated pictures longer and more frequently than participants in negative mood, which can be interpreted in terms of mood‐based higher distractibility. However, this did not translate to a more pronounced SD effect in the learning test. Unexpectedly, there was no SD effect in either mood condition. We discuss implications of the eye‐tracking data as well as potential reasons for the nonexistent SD effect in our study.     

一图抵千言：多媒体学习中的自我生成绘图策略

自我生成绘图是指学生使用可视化的学习方法绘制一幅能反映每一段文字中重要观点的图画, 通过图文结合的方式来促进学习的一种策略。综述以往研究发现, 先前研究通过操纵文本、动画等学习材料来考察自我生成绘图在学习中的作用, 发现自我生成绘图的效果并不稳健：一方面它可以通过提高学生的认知和元认知能力、激发积极的情感状态而提高学习效果, 得到了绘图建构生成理论和多媒体学习认知理论的支持; 另一方面也可以通过增加认知负荷而阻碍学习, 得到了认知负荷理论的支持。整体而言, 自我生成绘图策略还是有利于学习的, 已有研究在学习效果上的效应量中值为d_保持 = 0.13, d_理解 = 0.46, d_迁移 = 0.38。未来的研究仍需要关注自我生成绘图策略的材料操纵、效果评定以及潜在变量等等。     

The ethics of assessing health technologies

Health technology assessment (HTA) consists of thesystematic study of the consequences of theintroduction or continued use of the technology in aparticular context, with the explicit objective toarrive at a judgment of the value or merit of thetechnology. Ideally, it is aimed at assessing allaspects of a given technology or group oftechnologies, including non-technical, e.g.socio-ethical, aspects. However, methods for assessingsocio-ethical implications of health technology arerelatively undeveloped and few mechanisms exist totake action based on the results of such evaluations.Still, the examples of cochlear inplants (CI) and other cases illustratethat HTA is not a matter of merely collecting thefacts about a technology. The facts must beplausible and relevant from a particular framework,which is not always shared by different groups. It ishere that socio-ethical aspects are encountered. Ifhealth technology assessment aims to enhance theaccountability of the decision making processregarding funding and use of health technology, it isa major challenge to assessors of health technologiesto deal adequately with existing value pluralism. Inthis respect interactive evaluation may have somethingto offer.     

Development and psychometric evaluation of the Interactive Test of Interpersonal Behavior (ITIB): a pilot study examining interpersonal deficits in chronic depression

Chronic depression is assumed to be caused and maintained by interpersonal deficits. We describe the development and psychometric evaluation of the Interactive Test of Interpersonal Behavior (ITIB) that we developed for self‐assessment of these deficits. Participants with chronic depression (CD, N = 15), episodic depression (ED, N = 15) and healthy controls (HC, N = 15) participated in this pilot study. They completed the ITIB and a number of pen and paper questionnaires including the Lübeck Questionnaire of Preoperational Thinking (LQPT) and the inventory of interpersonal problems (IIP). The ITIB was highly acceptable for use in these participants. Internal consistency for the ITIB was adequate for group comparisons (Cronbach's alpha = 0.649). Item‐total correlations indicated adequate discriminatory power of five of the six items. The ITIB correlated moderately with the LQPT (r = 0.524) and the IIP (r = –0.568). The ITIB score differed significantly between the diagnostic groups (ANOVA F(2,42) = 6.22, p = 0.004). It was the only measure that – albeit at a trend level – was associated with diagnostic group (CD vs. ED) on multinomial logistic regression analysis (B = 0.049 ± 0.029; OR 1.051; p = 0.088). We found preliminary evidence that the ITIB is an acceptable and psychometrically adequate measure of interpersonal behavior that distinguishes between patients with CD and patients with ED. If replicated with an improved version of the test, our results could support the hypothesis that having interpersonal problems is a core deficit in patients with CD.     

A multiple-objective linear programming model for the citrus rootstock selection problem in Florida

Citrus is one of Florida's key agricultural crops, with annual production accounting for over 70% of all U.S. production. During the 1970s and 1980s, citrus blight, tristeza and freezes caused citrus rootstock selection to become a critical issue in Florida, and it remains so today. This paper describes a multiple-objective linear programming model that we have developed for solving the citrus roostock selection problem in Florida. The model has four objective functions. These functions, together with the constraints of the model, capture the main factors that Florida citrus growers use in choosing portfolios of rootstocks for planting in their groves. We tested the usefulness of this model by solving an experimental application for the Fort Pierce area with the interactive STEM algorithm. From our research we conclude that, when properly solved with the aid of STEM, the multiple-objective linear programming model has the potential to serve Florida citrus growers as a useful decision aid in formulating rootstock selection plans. © 1997 John Wiley & Sons, Ltd.     

A Multiobjective Diet Planning Support System Using the Satisficing Trade-off Method

This paper shows that the satisficing trade-off method (STOM), one of the interactive multiobjective programming techniques, can be applied effectively to the formulation of livestock rations. Nutrient requirements are considered as soft constraints whose right-hand sides are flexible to some extent. This is easily done by regarding the values of the right-hand sides of the constraints as aspiration levels of the decision maker for objective functions. In this way a well-balanced solution can be obtained by STOM with automatic trade-off analysis. In STOM, moreover, because the objective functions and the constraint functions are interchangeable, decision makers are not required to consider the role of objective and constraint as fixed from the beginning. The authors’ experience is that the method makes ration formulation very easy, rapid and flexible. In addition, this paper shows how effectively STOM can be applied not only to diet planning but also to nutritional diagnosis. © 1997 by John Wiley & Sons, Ltd. J. Multi-Crit. Decis. Anal. 6 : 131–139 (1997) No. of Figures: 1. No. of Tables: 3. No. of References: 28.     

Outranking-Based Interactive Exploration of a Set of Multicriteria Alternatives

Interactive procedures are very effective for exploring sets of alternatives with a view to finding the best compromise alternative. In this paper we consider the interactive exploration of implicitly or explicitly given large sets of alternatives. Upon review of classical interactive procedures, which usually assume a utility function preference model, we distinguish three typical operations used in various interactive procedures: contraction of the explored set, exploration of some neighbourhood of a current alternative and reduction of a sample of the explored set. After pointing out some areas for improvement in the traditional procedures, we describe three interactive procedures performing the three operations respectively using an outranking relation preference model. Owing to the proposed ways of building and exploiting the outranking relation, the weak points of the traditional procedures can be overcome. Finally we solve an exemplary problem using all three procedures. © 1997 John Wiley & Sons, Ltd.