Self-generation amplifies the errorless learning effect in healthy older adults when transfer appropriate processing conditions are met

ABSTRACT

Older adults have considerable impairment in associative recognition despite minimal age differences in item recognition. The magnitude of this associative deficit varies by type of stimuli, strategy utilization, and other mediators and moderators (Old &; Naveh-Benjamin, 2008 Old, S. R., &; Naveh-Benjamin, M. (2008). Differential effects of age on item and associative measures of memory: A meta-analysis. Psychology and Aging, 23, 104–118. doi: 10.1037/0882-7974.23.1.104[Crossref], [PubMed], [Web of Science ®] , [Google Scholar], Psychology and Aging, 23, 104–118). Name pair stimuli have not been used to test the associative deficit hypothesis (ADH), although tests using name–face stimuli support the ADH. Additionally, metacognitive awareness of the ADH has not been investigated. We tested the ADH with word and name pair stimuli, and predicted that age-related associative deficits would be larger for words than names because names, unlike most common nouns, lack certain semantic properties that could be used to bind pairs of names together. Results supported the ADH for words but not names: Younger and older adults recognized equivalently fewer names on the associative test relative to the item test. As predicted, self-efficacy was higher for younger than older adults. Surprisingly, self-efficacy for the associative test was higher than for the item test but post-test estimates of performance success (postdictions) were higher for the item test than for the associative test, suggesting sensitivity by participants to different task demands in the item and associative tests following recognition attempts. Metacognitive accuracy was better for words than names and for the item test than associative test, and equivalent between age groups. Overall, participants overestimated their name recognition abilities. Our findings extend support for the ADH to a conceptually important and ecologically valid domain (names) and provide new data on metacognitive aspects of the ADH.     

Self-Regulated Learning in Younger and Older Adults: Does Aging Affect Metacognitive Control?

ABSTRACT

Two experiments examined whether younger and older adults' self-regulated study (item selection and study time) conformed to the region of proximal learning (RPL) model when studying normatively easy, medium, and difficult vocabulary pairs. Experiment 2 manipulated the value of recalling different pairs and provided learning goals for words recalled and points earned. Younger and older adults in both experiments selected items for study in an easy-to-difficult order, indicating the RPL model applies to older adults' self-regulated study. Individuals allocated more time to difficult items, but prioritized easier items when given less time or point values favoring difficult items. Older adults studied more items for longer but realized lower recall than did younger adults. Older adults' lower memory self-efficacy and perceived control correlated with their greater item restudy and avoidance of difficult items with high point values. Results are discussed in terms of RPL and agenda-based regulation models.     

Longitudinal Predictive Validity of a Learning Potential Test

The aim of this article is to provide empirical psychometric evidence of the (longitudinal) predictive validity of a learning potential measure—the Learning Potential Computerised Adaptive Test (LPCAT)—in comparison with standard static tests with school aggregate results as the criterion measure. Participants were 79 boys (mean age 12.44, SD = 0.44) and 72 girls (mean age 11.18, SD = 0.42) attending two private schools. Correlation and regression analyses were used to evaluate the predictive validity of the learning potential and standard test scores for school aggregate academic results as criterion measure. Results indicate that learning potential scores were statistically significant predictors of aggregate academic results and provided results that were comparable to those of the standard test results—providing empirical support for the use of learning potential tests in mainstream educational settings.     

Chunking by colors: assessing discrete learning in a continuous serial reaction-time task

Chunk learning (the process by which a sequence is learned and retrieved from memory in smaller, decomposed units of information) has been postulated as the main learning mechanism underlying sequence learning (Perruchet & Pacton, 2006). However, the evidence for chunk formation has been elusive in the continuous serial reaction-time task, whereas other continuous, statistical processes of learning account well for the results observed in this task. This article proposes a new index to capture segmentation in learning, based on the variance of responding to different parts of a sequence. We assess the validity of this measure by comparing performance in a control group with that of another group in which color codes were used to induce a uniform segmentation. Results showed that evidence of chunking was obtained when the color codes were consistently coupled to responses, but that chunking was not maintained after the colors were removed.     

An analysis with Bion: an interview with James Gooch. Interview by JoAnn Culbert-Koehn

In 1968 Wilfred Bion moved to Los Angeles, escaping the perils of fame in London. He lived in Los Angeles until a few months before his death in Oxford in 1979. He made a deep impact on psychoanalysis in Los Angeles through those he analysed and what he wrote. James Gooch, psychiatrist and founding president of the Psychoanalytic Center of California describes in detail the transformative experience of his analysis with Bion in an interview with JoAnn Culbert-Koehn, Jungian analyst. Dr. Gooch describes important differences between his analysis with Bion and his classical Freudian analysis during his analytic training.     

Effects of practice on task architecture: combined evidence from interference experiments and random-walk models of decision making

Does extensive practice reduce or eliminate central interference in dual-task processing? We explored the reorganization of task architecture with practice by combining interference analysis (delays in dual-task experiment) and random-walk models of decision making (measuring the decision and non-decision contributions to RT). The main delay observed in the Psychologically Refractory Period at short stimulus onset asynchronies (SOA) values was largely unaffected by training. However, the range of SOAs over which this interference regime held diminished with learning. This was consistent with an overall shift observed in single-task performance from a highly variable decision time to a reliable (non-decision time) contribution to response time. Executive components involved in coordinating dual-task performance decreased (and became more stable) after extensive practice. The results suggest that extensive practice reduces the duration of central decision stages, but that the qualitative property of central seriality remains a structural invariant.     

Connecting instances to promote children's relational reasoning

The practice of learning from multiple instances seems to allow children to learn about relational structure. The experiments reported here focused on two issues regarding relational learning from multiple instances: (a) what kind of perceptual situations foster such learning and (b) how particular object properties, such as complexity and similarity, interact with relational learning. Two kinds of perceptual situations were of interest here: simultaneous view, where instances are viewed at once, and sequential view, where instances are viewed one at a time (one right after the other). We examined the influence of particular perceptual situations and object properties using two tests of relational reasoning: a common match-to-sample task, where new instances are compared with a common sample, and a variable match-to-sample task, where new instances are compared with a sample that varies on each trial. Experiments 1 and 2 indicate that simultaneous presentation of even highly dissimilar instances, one simple and one complex, effectively connects them together and improves relational generalization in both match-to-sample tasks. Experiment 3 shows that simple samples are more effective than complex ones in the common match-to-sample task. However, when one instance is not used a common sample and various pairs of instances are simply compared, as in Experiment 4, simple and rich instances are equally effective at promoting relational learning. These results bear on our understanding of how children connect instances and how those initial connections affect learning and generalization.     

Reorganization of functional and effective connectivity during real-time fMRI-BCI modulation of prosody processing

Mechanisms of cortical reorganization underlying the enhancement of speech processing have been poorly investigated. In the present study, we addressed changes in functional and effective connectivity induced in subjects who learned to deliberately increase activation in the right inferior frontal gyrus (rIFG), and improved their ability to identify emotional intonations by using a real-time fMRI Brain-Computer Interface. At the beginning of their training process, we observed a massive connectivity of the rIFG to a widespread network of frontal and temporal areas, which decreased and lateralized to the right hemisphere with practice. Volitional control of activation strengthened connectivity of this brain region to the right prefrontal cortex, whereas training increased its connectivity to bilateral precentral gyri. These findings suggest that changes of connectivity in a functionally specific manner play an important role in the enhancement of speech processing. Also, these findings support previous accounts suggesting that motor circuits play a role in the comprehension of speech.     

Learning foreign sounds in an alien world: videogame training improves non-native speech categorization

Although speech categories are defined by multiple acoustic dimensions, some are perceptually weighted more than others and there are residual effects of native-language weightings in non-native speech perception. Recent research on nonlinguistic sound category learning suggests that the distribution characteristics of experienced sounds influence perceptual cue weights: Increasing variability across a dimension leads listeners to rely upon it less in subsequent category learning (Holt & Lotto, 2006). The present experiment investigated the implications of this among native Japanese learning English /r/-/l/ categories. Training was accomplished using a videogame paradigm that emphasizes associations among sound categories, visual information, and players' responses to videogame characters rather than overt categorization or explicit feedback. Subjects who played the game for 2.5h across 5 days exhibited improvements in /r/-/l/ perception on par with 2-4 weeks of explicit categorization training in previous research and exhibited a shift toward more native-like perceptual cue weights.     

Feedback specificity,information processing,and transfer of training

This study examines the effects of feedback specificity on transfer of training and the mechanisms through which feedback can enhance or inhibit transfer. We used concurrent verbal protocol methodology to elicit and operationalize the explicit information processing activities used by 48 trainees performing the Furniture Factory computer simulation. We hypothesized and found support for a moderated mediation model. Increasing feedback specificity influenced the exposure trainees had to different task conditions and negatively affected their levels of explicit information processing. In turn, explicit information processes and levels of exposure to different task conditions interacted to impact transfer of training. Those who received less specific feedback relied more heavily on explicit information processing and had more exposure to the challenging aspects of the task than those who received more specific feedback, which differentially affected what they learned about the task. We discuss how feedback specificity and exposure to different task conditions may prime different learning processes.