Not just who you are,but who you were before: Social identification,identity incompatibility,and performance‐undermining learning behaviour in higher education

The current study builds on links between academic social identification and learning behaviours and extends these models by also considering the level of compatibility between the student identity and the pre‐existing self‐concept. This is a crucial extension, in the context of broadening access to higher education and fostering belonging and learning in nontraditional students. Further, where previous work focused on learning behaviours that enhance performance (often learning approaches), we also consider performance‐undermining behaviours (self‐handicapping and procrastination). These effects are explored in survey responses from an undergraduate student sample (N = 121) from UK and broader European samples. Participants were predominantly female (69%) and native English speakers (87%). Three models of the relationships between these variables were tested using Mplus. Results indicate that performance‐undermining behaviours are predicted by identity incompatibility, but not identification level; deep learning approaches are predicted by identification level, but not identity incompatibility. This provides first evidence that identity incompatibility is not just a moderator of the identification‐learning relationships but, in fact, a separate identity process for consideration. We also present initial evidence for a mediation model, where in the identity variables are related to procrastination and self‐handicapping via learning approaches.     

Automatic skin lesions segmentation based on a new morphological approach via geodesic active contour

Automatic disease classification has been one of the most intensively searched in recent years due to the possibility of quickly providing a diagnosis to the patient. In this process, the segmentation of regions of interest of these diseases has a fundamental role in their subsequent classification. With skin lesions segmentation it is no different and in recent years many studies have achieved interesting results, becoming an important tool in aiding the medical diagnosis of skin diseases. In this work, a morphological geodesic active contour segmentation (MGAC) method is proposed with automatic initialization, using mathematical morphology which is a great partial differential equation approximation, with lower computational cost, no stability problems and fully automatic. The proposed method was tested in a stable and well-known dermoscopic images database provided by Pedro Hispano Hospital (PH2) and was compared with both methods that make use of machine learning or deep learning techniques such as fully convolutional networks (FCN), full resolution convolutional networks (FrCN), deep class-specific learning with probability based step-wise integration (DCL-PSI), and others, and also traditional methods like JSEG, statistical region merging (SRM), Level Set, ASLM and others. The MGAC showed good results in all similarity metrics compared in this work like Jaccard Index (86.16%), Dice coefficient (92.09%) and Matthew correlation coefficient (87.52%), and also achieves good results in sensitivity (91.72%), specificity (97.99%), accuracy (94.59%) and F-measure (93.82%). Thus, the proposed method presented better results in relation to all these metrics when compared to the traditional methods and still presented better results in relation to the methods that use machine learning or deep learning techniques in Jaccard Index, Dice coefficient and specificity. This confirm that the MGAC can efficiently segment skin lesions, presenting great potential to be applied in the aid of the medical diagnosis.     

Supporting Out‐of‐School Time Staff in Low Resource Communities: A Professional Development Approach

Federally funded out‐of‐school time (OST) programs provide academic support, enrichment, and safety for students and families in low‐resource communities. However, programs struggle to meet these aims, in part because of the lack of program structure and limited training and support for staff. This observational case study documents the training and technical assistance (TA) delivered to OST frontline staff and program leadership to implement Positive Behavior in Out‐of‐School Time (Positive BOOST), an adaptation of positive behavior interventions and supports conducted in multiple settings. Findings across three programs indicate that varied levels of TA (i.e., business as usual, performance feedback, coaching) are associated with different levels of staff‐ and program‐level implementation. Taken together with previous research, these findings suggest that targeted investment in developing the skills of OST staff and improving program‐wide outcomes is critical for supporting youth in low‐resource communities.     

自我相关信息对视觉搜索主动抑制的易化作用

工作记忆表征会以自上而下的方式调控注意选择过程, 其中一种表现就是能够对储存的干扰物表征产生注意的主动抑制, 进而提高对目标的搜索效率。另一方面, 凸显性刺激也会以自下而上的方式优先捕获注意。那么, 当保持在工作记忆中的干扰物为更具社会凸显性特征的刺激(如与自己有关的信息)时, 会对视觉搜索过程中的注意抑制产生怎样的影响, 目前尚不清楚。本研究采用短暂联结任务和工作记忆引导的视觉搜索任务范式, 探讨了自我凸显性对注意主动抑制的影响。结果发现, 相比他人和中性条件, 当工作记忆表征为自我联结刺激时, 目标搜索反应更快。本研究从行为层面为自我相关信息能够易化主动抑制过程提供了证据。     

When bonuses backfire: an inaction inertia analysis of procrastination induced by a missed opportunity

An inaction inertia analysis of procrastination was used to generate the prediction that using bonuses to encourage early task completion will have two opposing effects, encouraging early task completion by some but also inducing procrastination for those who miss the bonus. Study 1 showed that the addition of bonuses for early completion produced both of these effects and also led to overall task completion rates that were either equal to (large bonus) or actually less than (medium and small bonuses) those obtained by simply establishing a completion deadline with no bonus. In Study 2, a lottery methodology was used to manipulate the size of a missed bonus for all participants. Even under these conditions of reduced personal responsibility the larger missed bonus led to increased procrastination as predicted by the inaction inertia analysis. Possible mediating processes based on anticipated regret and perceived fairness were discussed. Copyright © 2007 John Wiley & Sons, Ltd.     

学习惰性研究综述

学习惰性是一种普遍存在的消极心理现象,它对学生和成人的学习造成负面影响.相关的研究国外已有而国内尚无.本研究为帮助学习者克服惰性、更好地学习和发展,在文献检索和典籍查阅的基础上,界定了惰性和学习惰性的概念;探讨了学习惰性的危害、成因及其影响因素;从认知、情绪、行为和易发人群等方面辨析了学习惰性与学习倦怠的异同;建议对学习惰性与学习倦怠采取不同的评估、教育和心理干预措施;最后对如何拓宽与深化学习惰性的研究进行了思考.     

WHITHER INTERNALISM? HOW INTERNALISTS SHOULD RESPOND TO THE EXTENDED MIND HYPOTHESIS

Abstract: A new position in the philosophy of mind has recently appeared: the extended mind hypothesis (EMH). Some of its proponents think the EMH, which says that a subject's mental states can extend into the local environment, shows that internalism is false. I argue that this is wrong. The EMH does not refute internalism; in fact, it necessarily does not do so. The popular assumption that the EMH spells trouble for internalists is premised on a bad characterization of the internalist thesis—albeit one that most internalists have adhered to. I show that internalism is entirely compatible with the EMH. This view should prompt us to reconsider the characterization of internalism, and in conclusion I make some brief remarks about how that project might proceed.     

父母对儿童青少年媒介使用的积极干预

积极干预是指父母在孩子使用媒介前后或者使用过程中, 通过解释和讨论等互动形式对媒介内容、使用方式等提供指导。随着电子媒介在家庭中的普及, 父母如何正确引导儿童青少年的媒介使用行为受到了研究者的关注。父母对媒介使用进行积极干预对儿童青少年认知发展、社会性发展等诸多方面产生了积极作用, 例如提高儿童对媒介内容的批判能力, 有效减少暴力内容可能产生的消极影响等。影响积极干预行为的因素可归纳为两大类：家庭因素和儿童个体因素。未来研究可从完善测量方法, 探究父母干预行为与儿童青少年媒介使用之间相互影响的机制, 建构影响因素模型, 提高积极干预的有效性等角度进行深入探索。     

"沙盘游戏"的理论分析及其在幼儿教育中的应用研究

受荣格积极想象技术及其理论的启发 ,吸收了威尔斯 (H .G .Wells)、玛格丽特·洛温菲尔德 (MargaretLowenfeld)等人有关儿童游戏理论与操作之精要 ,多拉·卡尔夫 (DoraKallf)在 2 0世纪 6 0年代初创设了“沙盘游戏”理论。沙盘游戏作为一种有效而独特的挖掘人类潜意识的技术 ,在国外的发展非常成熟 ,应用十分广泛 ;而国内缺乏对该理论的引介与探讨 ,我们结合正在广州育才幼儿园所做的个案研究 ,概要介绍沙盘游戏的理论与操作 ,进而探索“沙盘游戏”在幼儿园教育实践中的具体应用。