When training with a partner is inferior to training alone: the importance of dyad type and interaction quality

Dyad training, where trainees learn in pairs but ultimately perform individually, has been shown to be an effective method for training some skills. The effectiveness of this approach, however, may be tied to the type of task to be trained and the quality of the interaction in the dyad. We report two studies on the effectiveness of dyad training and the role of metacognitive activity for learning a software program. In Study 1, participants completed training alone or with a partner. Performance was assessed individually immediately after training and again after a 1-week nonuse interval. Results of Study 1 suggested that learning retention is superior when people are trained individually. Study 2 examined performance for individuals, task-switching dyads, and interdependent dyads. Results also showed that performance for individuals was superior to dyads and that the type of dyad collaboration did not affect performance. However, partner-prompted metacognitive activity was helpful for interdependent dyads and harmful for task-switching dyads, suggesting that the quality of collaboration varies by dyad type. Our findings suggest that dyad training may not be effective for all types of tasks. Possible boundary conditions for effective dyad training are discussed.     

The Datafication of Learning: Data Technologies as Reflection Issue in the System of Education

Like other parts of the social system, education is becoming an information-driven venture: data technologies pervade all levels of the system. This datafication of education seems to take place alongside a general turn to learning that Gert Biesta has called learnification: a progressively singular focus on the manipulable features of individual learning in education. Given rapidly rising levels of datafication, it seems timely to take up Luhmann and Schorr’s contention that education entails a technology deficit and discuss datafication as reflection issue in the system of education. Against their argument that human learning is not amenable to a technology, I develop the counter-argument that data technologies are replacing human learning outright with data at the level of organisation. Data thus present a concretely digital form of what Raf Vanderstraeten has called education as an ersatz order. In a data-driven form of organising education, human dimensions of learning become secondary to a systemic dimension: making learning visible as data and so susceptible to databased manipulation. The text treats school-wide positive behaviour support interventions as an evidence-based exemplar of this trend towards datafication in the system of education.     

Anomalies in the detection of change: When changes in sample size are mistaken for changes in proportions

Detecting changes, in performance, sales, markets, risks, social relations, or public opinions, constitutes an important adaptive function. In a sequential paradigm devised to investigate detection of change, every trial provides a sample of binary outcomes (e.g., correct vs. incorrect student responses). Participants have to decide whether the proportion of a focal feature (e.g., correct responses) in the population from which the sample is drawn has decreased, remained constant, or increased. Strong and persistent anomalies in change detection arise when changes in proportional quantities vary orthogonally to changes in absolute sample size. Proportional increases are readily detected and nonchanges are erroneously perceived as increases when absolute sample size increases. Conversely, decreasing sample size facilitates the correct detection of proportional decreases and the erroneous perception of nonchanges as decreases. These anomalies are however confined to experienced samples of elementary raw events from which proportions have to be inferred inductively. They disappear when sample proportions are described as percentages in a normalized probability format. To explain these challenging findings, it is essential to understand the inductive-learning constraints imposed on decisions from experience.     

Effect of attention control on sustained attention during induced anxiety

Anxiety has wide-reaching and complex effects on cognitive performance. Although it can intrude on cognition and interfere with performance, it can also facilitate information processing and behavioural responses. In a previous study, we showed that anxiety induced by threat of shock facilitates performance on the Sustained Attention to Response Task, a vigilance test, which probes response inhibition to infrequent nogo stimuli. The present study sought to identify factors that may have contributed to such improved performance, including on- and off-task thinking (assessed with thought probes) and individual differences in attention control, as measured with the Attention Control Scale. Replicating our prior finding, we showed that shock threat significantly reduced errors of commission on the nogo trials. However, we extended this finding in demonstrating that this effect was driven by subjects with low attention control. We therefore confirm that anxiety increases inhibitory control of prepotent responses—a mechanism which is adaptive under threat—and show that this effect is greater in those who rely more upon such prepotent responding, i.e., those with low attentional control.     

Factors of style and personality

In an attempt to find relationships between psychological and linguistic variables, style samples of short stories, 300 words each, were analyzed according to formal criteria and the results were correlated with scores on personality tests. The number of significant correlations supported the hypothesis that style is related to personality. A factor analysis, using the principal component solution and Varimax rotation (Harman, 1967), of the correlation matrix resulted in six identifiable factors of style, three factors of psychological tests, and a large number of small factors, each represented only by two to five experimental variables with significant loadings. A significant loading for interpretation purposes was defined in agreement with Guilford (1956) as 0.30 or greater, positive or negative. A close examination of style factors led to the tentative differentiation of a basic language factor as resulting from grammatical constraint, and several factors of subjective style of individuals. Some of these later factors had enough loadings on personality variables to permit cautious psychological interpretation.