Virtual Learning in a Socially Digitized World

Contemporary education is awakening from a crisis that has held the development of its potential and its relevance at bay for well over a century. Revolutions in science and spirituality are emerging a new relational intelligence that demands commensurate educational paradigms for its blossoming into daily engagements with life and the world around us. At the same time as people are leading increasingly interconnected lives, aware of and often participating in the narratives of people and ecosystems in other parts of the planet, information and communications technologies are increasingly integrating with and serving to mediate the human experience. This article explores the power of this confluence at the current nexus of civilizational demands in the context of increased planetary stresses and destabilizations. The case is made for a thrivable education praxis that draws on these emergent aspects of our developmental potential and emphasizes the importance of functional conviviality as an operational principle of learning for life.     

Morality‐ and identity‐related antecedents of children's guilt and shame attributions in events involving physical illness

It is theorised that guilt‐ and shame‐related appraisals vary on two separate dimensions. Guilt implies an appraisal that one has either committed a moral transgression or that one has otherwise been involved in the creation of a morally wrong outcome. Shame implies one's appraisal that the current event or condition reflects negatively on one's identity. To test these claims, 206 7‐ to 16‐year‐old children gave shame and guilt ratings of three types of events that were drawn from the domain of physical illness and that were designed to elicit primarily guilt, primarily shame, or both emotions. The 12‐year‐olds and older children's ratings were fully consistent with our hypothesis. Younger children's greatest difficulty was in not attributing shame to protagonists who were involved in causing a moral wrong without there being the threat of an unwanted identity.     

Feedback and stimulus-offset timing effects in perceptual category learning

We examined how feedback delay and stimulus offset timing affected declarative, rule-based and procedural, information–integration category-learning. We predicted that small feedback delays of several hundred milliseconds would lead to the best information–integration learning based on a highly regarded neurobiological model of learning in the striatum. In Experiment 1 information–integration learning was best with feedback delays of 500 ms compared to delays of 0 and 1000 ms. This effect was only obtained if the stimulus offset following the response. Rule-based learning was unaffected by the length of feedback delay, but was better when the stimulus was present throughout feedback than when it offset following the response. In Experiment 2 we found that a large variance (SD = 150 ms) in feedback delay times around a mean delay of 500 ms attenuated information–integration learning, but a small variance (SD = 75 ms) did not. In Experiment 3 we found that the delay between stimulus offset and feedback is more critical to information–integration learning than the delay between the response and feedback. These results demonstrate the importance of feedback timing in category-learning situations where a declarative, verbalizable rule cannot easily be used as a heuristic to classify members into their correct category.     

代际团结潜在类别与关系质量对自陈健康及幸福感的影响

本研究考察了成年子女与其父母的代际关系中团结和关系质量对代际双方身体和心理结果的影响。研究1中,对中国成年子女（N=1283）的潜在类别分析结果显示是六种代际团结类别,多项逻辑回归表明两代人的特征会影响团结潜在类别和关系质量。研究2中,对367对中国成年子女-父母（N=734）的报告进行等级线性建模,行动者-搭档互依模型结果指出好的团结潜在类别（自我和搭档报告的）和好的关系质量（自我报告的）与两代人的高幸福感相关,好的团结潜在类别（自我和搭档报告的）和好的关系质量（自我和搭档报告的）预测了两代人的低心理苦恼;其中代际和性别调节了团结类别和关系质量对自我报告健康及幸福感的作用,同时,两代人团结类别的交互作用和评价的相似性也影响了幸福感和心理苦恼。     

Towards an auditory account of speech rhythm: application of a model of the auditory 'primal sketch' to two multi-language corpora

The world's languages display important differences in their rhythmic organization; most particularly, different languages seem to privilege different phonological units (mora, syllable, or stress foot) as their basic rhythmic unit. There is now considerable evidence that such differences have important consequences for crucial aspects of language acquisition and processing. Several questions remain, however, as to what exactly characterizes the rhythmic differences, how they are manifested at an auditory/acoustic level and how listeners, whether adult native speakers or young infants, process rhythmic information. In this paper it is proposed that the crucial determinant of rhythmic organization is the variability in the auditory prominence of phonetic events. In order to test this auditory prominence hypothesis, an auditory model is run on two multi-language data-sets, the first consisting of matched pairs of English and French sentences, and the second consisting of French, Italian, English and Dutch sentences. The model is based on a theory of the auditory primal sketch, and generates a primitive representation of an acoustic signal (the rhythmogram) which yields a crude segmentation of the speech signal and assigns prominence values to the obtained sequence of events. Its performance is compared with that of several recently proposed phonetic measures of vocalic and consonantal variability.     

Curiosity and exploration: facilitating positive subjective experiences and personal growth opportunities

In an effort to expand research on curiosity, we elaborate on a theoretical model that informs research on the design of a new measure and the nomological network of curiosity. Curiosity was conceptualized as a positive emotional-motivational system associated with the recognition, pursuit, and self-regulation of novelty and challenge. Using 5 independent samples, we developed the Curiosity and Exploration Inventory (CEI) comprising 2 dimensions: exploration (appetitive strivings for novelty and challenge) and absorption (full engagement in specific activities). The CEI has good psychometric properties, is relatively unaffected by socially desirable responding, is relatively independent from positive affect, and has a nomological network consistent with our theoretical framework. Predicated on our personal growth facilitation model, we discuss the potential role of curiosity in advancing understanding of various psychological phenomena.     

The multi-item localization (MILO) task: measuring the spatiotemporal context of vision for action

We describe a new multi-item localization task that can be used to probe the temporal and spatial contexts of search-like behaviors. A sequence of four target letters (e.g., E, F, G, and H) was presented among four distractor letters. Observers located the targets in order. Both retrospective and prospective components of performance were examined. The retrospective component was assessed by having target items either vanish or remain once they had been located. This manipulation had little effect on search performance, suggesting that old target items can be efficiently ignored. The prospective component was assessed by shuffling future target and distractor locations after each response. This manipulation revealed that observers typically plan ahead at least one target into the future. However, even when observers cannot plan ahead, they are still able to ignore old targets. These findings suggest that both "what you did" and "what you intend to do" can influence the localization and selection of targets.     

Probability matching, accuracy maximization, and a test of the optimal classifier's independence assumption in perceptual categorization

Observers completed perceptual categorization tasks that included 25 base-rate/payoff conditions constructed from the factorial combination of five base-rate ratios (1:3, 1:2, 1:1, 2:1, and 3:1) with five payoff ratios (1:3, 1:2, 1:1, 2:1, and 3:1). This large database allowed an initial comparison of the competition between reward and accuracy maximization (COBRA) hypothesis with a competition between reward maximization and probability matching (COBRM) hypothesis, and an extensive and critical comparison of the flat-maxima hypothesis with the independence assumption of the optimal classifier. Model-based instantiations of the COBRA and COBRM hypotheses provided good accounts of the data, but there was a consistent advantage for the COBRM instantiation early in learning and for the COBRA instantiation later in learning. This pattern held in the present study and in a reanalysis of Bohil and Maddox (2003). Strong support was obtained for the flat-maxima hypothesis over the independence assumption, especially as the observers gained experience with the task. Model parameters indicated that observers' reward-maximizing decision criterion rapidly approaches the optimal value and that more weight is placed on accuracy maximization in separate base-rate/payoff conditions than in simultaneous base-rate/payoff conditions. The superiority of the flat-maxima hypothesis suggests that violations of the independence assumption are to be expected, and are well captured by the flat-maxima hypothesis, with no need for any additional assumptions.     

SUSTAIN: a network model of category learning

SUSTAIN (Supervised and Unsupervised STratified Adaptive Incremental Network) is a model of how humans learn categories from examples. SUSTAIN initially assumes a simple category structure. If simple solutions prove inadequate and SUSTAIN is confronted with a surprising event (e.g., it is told that a bat is a mammal instead of a bird), SUSTAIN recruits an additional cluster to represent the surprising event. Newly recruited clusters are available to explain future events and can themselves evolve into prototypes-attractors-rules. SUSTAIN's discovery of category substructure is affected not only by the structure of the world but by the nature of the learning task and the learner's goals. SUSTAIN successfully extends category learning models to studies of inference learning, unsupervised learning, category construction, and contexts in which identification learning is faster than classification learning.