Auditioning the distinctiveness account: Expanding the production effect to the auditory modality reveals the superiority of writing over vocalising

The production effect (PE) documents the advantage in memory performance for words that are read aloud during study, rather than words that are read silently. Until now, the PE was examined in the visual modality, as the participants read the study words. In the present study, we extended the PE phenomenon and used the auditory modality at study. This novel methodology provides a critical test of the distinctiveness account. Accordingly, the participants heard the study words and learned them by vocal production (saying aloud) or by writing, followed by a free recall test. The use of the auditory modality yielded a memory advantage for words that were written during study over words that were vocally produced. We explain this result in light of the encoding distinctiveness account, suggesting that the PE is determined by the number of different encoding processes involved in learning, emphasising the essential role of active production.     

Dynamic testing of learning potential in adults with cognitive impairments: A systematic review of methodology and predictive value

Dynamic testing includes procedures that examine the effects of brief training on test performance where pre‐ to post‐training change reflects patients’ learning potential. The objective of this systematic review was to provide clinicians and researchers insight into the concept and methodology of dynamic testing and to explore its predictive validity in adult patients with cognitive impairments. The following electronic databases were searched: PubMed, PsychINFO, and Embase/Medline. Of 1141 potentially relevant articles, 24 studies met the inclusion criteria. The mean methodological quality score was 4.6 of 8. Eleven different dynamic tests were used. The majority of studies used dynamic versions of the Wisconsin Card Sorting Test. The training mostly consisted of a combination of performance feedback, reinforcement, expanded instruction, or strategy training. Learning potential was quantified using numerical (post‐test score, difference score, gain score, regression residuals) and categorical (groups) indices. In five of six longitudinal studies, learning potential significantly predicted rehabilitation outcome. Three of four studies supported the added value of dynamic testing over conventional testing in predicting rehabilitation outcome. This review provides preliminary support that dynamic tests can provide a valuable addition to conventional tests to assess patients’ abilities. Although promising, there was a large variability in methods used for dynamic testing and, therefore, it remains unclear which dynamic testing methods are most appropriate for patients with cognitive impairments. More research is warranted to further evaluate and refine dynamic testing methodology and to further elucidate its predictive validity concerning rehabilitation outcomes relative to other cognitive and functional status indices.     

The propositional basis of cue-controlled reward seeking

Two experiments examined the role of propositional and automatic (ideomotor) processes in cue-elicited responding for rewarding outcomes (beer and chocolate). In a training phase, participants earned either chocolate or beer points by making one of two button-press responses. Rewards were indicated by the presentation of chocolate and beer pictures. On test, each trial began with a picture of beer or chocolate, or a blank screen, and choice of the beer versus chocolate response was assessed in the presence of these three pictures. Participants tended to choose the beer and chocolate response in the presence of the beer and chocolate pictures, respectively. In Experiment 1, instructions signalling that the pictures did not indicate which response would be rewarded significantly reduced the priming effect. In Experiment 2, instructions indicating that the pictures signified which response would not be rewarded resulted in a reversed priming effect. Finally, in both experiments, the priming effect correlated with self-reported beliefs that the cues signalled which response was more likely to be reinforced. These results suggest that cue-elicited response selection is mediated by a propositional belief regarding the efficacy of the response–outcome relationship, rather than an automatic ideomotor mechanism.     

Negative mood disrupts self- and reward-biases in perceptual matching

There are established effects of self- and reward-biases even on simple perceptual matching tasks [Sui, J., He, X., &; Humphreys, G. W. (2012). Perceptual effects of social salience: Evidence from self-prioritization effects on perceptual matching. Journal of Experimental Psychology, Human Perception and Performance, 38, 1105–1117]; however we know little about whether these biases can be modulated by particular interventions, and whether the biases then change in the same way. Here we assessed how the biases alter under conditions designed to induce negative mood. We had participants read a list of self-related negative or neutral mood statements [Velten, E. (1968). A laboratory task for induction of mood states. Behavior Research and Therapy, 6, 473–482] and also listen for 10?min to a passage of negative or neutral music, prior to carrying out perceptual matching with shapes associated to personal labels (self or stranger) or reward (£12 or £1). Responses to the self- and high-reward-associated shapes were selectively slower and less sensitive (d′) following the negative mood induction procedures, and the decrease in mood correlated with decreases in the reaction time bias across “high saliency” (self and high-reward) stimuli. We suggest that negative mood may decrease self- and reward-biases through reducing attention to salient external stimuli.     

Learning and foraging efficiency in German cockroaches, Blattella germanica (L.) (Insecta: Dictyoptera)

We analysed, under laboratory test conditions, how German cockroach larvae oriented their outgoing foraging trip from their shelter. Our results stressed the importance of external factors, like availability and spatial distribution of food sources, in the choice of a foraging strategy within their home range. When food sources were randomly distributed, larvae adopted a random food search strategy. When food distribution was spatially predictable and reliable, cockroaches were able to relate the presence of food with a landmark during a 3-day training period and to develop an oriented search strategy. Cockroaches were able to associate learned spatial information about their home range to the presence of food resources and then to improve their foraging efficiency. However, conflict experiments revealed that detection of food odour overrode learned landmark cues. Received: 16 October 1999 / Accepted after revision: 18 July 2000     

布鲁默学习测验(BLT)中文测题册试用本的编制报告

布鲁默学习测验（ＢＬＴ）是一项以学习模式为研究内容的学习过程测验。作为ＢＬＴ中文版修订工作的首要阶段,课题组在研究ＢＬＴ理论原理,测验结构和内容和基础上,结合我国中小学教学实际,以简单常用的部首和汉字为主要测验材料编制出ＢＬＴ中文版测题册试用本,并作了试测和数据分析。结果表明,试用本具有较高的信度和效度,并保持了作为学习过程测验的特色,达到了研究目的。     

Learning of novel semantic relationships via sudden comprehension is associated with a hippocampus-independent network

Sudden comprehension—or insight—during problem-solving can enhance learning, but the underlying neural processes are largely unknown. We investigated neural correlates of learning from sudden comprehension using functional magnetic resonance imaging and a verbal problem-solving task. Solutions and “solutions” to solvable and unsolvable verbal problems, respectively, were presented to induce sudden comprehension or continued incomprehension. We found activations of the hippocampus, medial prefrontal cortex (mPFC), amygdala, and striatum during sudden comprehension. Notably, however, mPFC and temporo-parietal neocortical structures rather than the hippocampus were associated with later learning of suddenly comprehended solutions. Moreover, difficult compared to easy sudden comprehension elicited midbrain activations and was associated with successful learning, pointing to learning via intrinsic reward. Sudden comprehension of novel semantic associations may constitute a special case of long-term memory formation primarily mediated by the mPFC, expanding our knowledge of its role in prior-knowledge-dependent memory.     

The Term “Self-Directed Learning”—Back to Knowles,or Another Way to Forge Ahead?

The term self-directed learning has since its seminal definition in 1975 by Malcolm S. Knowles acquired a range of meanings, which has led to communication difficulties about this subject. Examination of self-directed learning from a biblical ontological–anthropological perspective reveals that, although the notion of self-directed learning as a mechanistic or deterministic process should be questioned, Knowles and colleagues were correct in ameliorating the “process part” of the definition of self-directed learning by emphasizing the freedom and agency of the learner as steward of creation. Researchers wishing to deviate from the approach by Knowles and colleagues are compelled to explain what the term designates in their particular project.     

Statewide Implementation of Cognitive Behavioral Therapy for Psychosis Through a Learning Collaborative Model

Cognitive Behavioral Therapy for Psychosis (CBTp) is an evidence-based psychotherapeutic intervention (EBPI) for adults with schizophrenia spectrum disorders that remains under-implemented in the United States (U.S.). There has been little empirical attention on implementation and dissemination strategies for this EBPI. The Learning Collaborative (LC) model is a method of implementing evidence-based practices across agencies and geographic regions that may facilitate CBTp implementation and dissemination in the US.We applied the LC model in an attempt to enhance the accessibility of CBTp in community mental health settings statewide. Providers (N = 56) from 12 agencies voluntarily participated in an in-person, CBTp workshop followed by 6 months of biweekly phone-based consultation sessions (Phase 1). Twenty-one providers opted to participate in an additional 6-month CBTp LC immediately following completion of the initial CBTp LC (Phase 2). Adoption, penetration, provider-perceived skill development, fidelity, as well as provider-perceived implementation barriers were re-assessed during and 6 months after completion of Phase 2.One year after the completion of the Phase 2 LC, 21% of the original trainee group across 3 of the 12 participating agencies continued to offer CBTp to clients. CBTp trainees were treating between one and two clients each. Self-assessed CBTp skills improved modestly over the Phase 2 consultation period. On average, both clinicians and supervisors reached an acceptable fidelity score on the sessions reviewed. Participating providers identified multiple barriers to CBTp implementation, including features of the training and consultation, the agency, the intervention itself, and psychosocial and clinical challenges associated with the client population.Few CBTp implementation studies have applied a framework to CBTp implementation. The authors adapted the LC model in an attempt to promote adoption of CBTp in community mental health clinics across a large, populous state with poor access to mental health services. Identified challenges and recommendations should be considered in future implementation efforts.     

Bioinspired decision-making for a socially interactive robot

Nowadays, robots and humans coexist in real settings where robots need to interact autonomously making their own decisions. Many applications require that robots adapt their behavior to different users and remember each user’s preferences to engage them in the interaction. To this end, we propose a decision making system for social robots that drives their actions taking into account the user and the robot’s state. This system is based on bio-inspired concepts, such as motivations, drives and wellbeing, that facilitate the rise of natural behaviors to ease the acceptance of the robot by the users. The system has been designed to promote the human-robot interaction by using drives and motivations related with social aspects, such as the users’ satisfaction or the need of social interaction. Furthermore, the changes of state produced by the users’ exogenous actions have been modeled as transitional states that are considered when the next robot’s action has to be selected. Our system has been evaluated considering two different user profiles. In the proposed system, user’s preferences are considered and alter the homeostatic process that controls the decision making system. As a result, using reinforcement learning algorithms and considering the robot’s wellbeing as the reward function, the social robot Mini has learned from scratch two different policies of action, one for each user, that fit the users’ preferences. The robot learned behaviors that maximize its wellbeing as well as keep the users engaged in the interactions.