Testing domain general learning in an Australian lizard

A key question in cognition is whether animals that are proficient in a specific cognitive domain (domain specific hypothesis), such as spatial learning, are also proficient in other domains (domain general hypothesis) or whether there is a trade-off. Studies testing among these hypotheses are biased towards mammals and birds. To understand constraints on the evolution of cognition more generally, we need broader taxonomic and phylogenetic coverage. We used Australian eastern water skinks (Eulamprus quoyii) with known spatial learning ability in three additional tasks: an instrumental and two discrimination tasks. Under domain specific learning we predicted that lizards that were good at spatial learning would perform less well in the discrimination tasks. Conversely, we predicted that lizards that did not meet our criterion for spatial learning would likewise perform better in discrimination tasks. Lizards with domain general learning should perform approximately equally well (or poorly) in these tasks. Lizards classified as spatial learners performed no differently to non-spatial learners in both the instrumental and discrimination learning tasks. Nevertheless, lizards were proficient in all tasks. Our results reveal two patterns: domain general learning in spatial learners and domain specific learning in non-spatial learners. We suggest that delineating learning into domain general and domain specific may be overly simplistic and we need to instead focus on individual variation in learning ability, which ultimately, is likely to play a key role in fitness. These results, in combination with previously published work on this species, suggests that this species has behavioral flexibility because they are competent across multiple cognitive domains and are capable of reversal learning.     

Perceptual selectivity and information processing by fast and slow learners in paired-associate learning

Utilizing a design requiring perceptual rather than verbal discrimination in a compound-stimulus, P-A learning task, two hypotheses related to individual differences in perceptual selection of a functional stimulus cue and the processing of information were explored. The hypothesis that fast learners (determined by pretest) would “process” more information than slow learners in P-A learning was supported. Slow learners consistently ignored the random shape to which instructions specifically directed them and selected instead the context color as the functional cue. A second hypothesis that negative transfer due to proactive inhibition would be greater for slow learners was also supported.     

关系复杂性对关系类别间接性学习中选择性注意的影响

以大学生为被试,使用关系复杂性逐渐变化的实验材料——4特征复杂关系的虚拟外星生物、6特征复杂关系加二阶同功能简单关系的虚拟外星生物和6特征复杂关系加二阶异功能简单关系的虚拟外星生物,采用类别的间接性学习范式——个人功能预测的关系类别的间接性学习条件和参照性交流的关系类别的间接性学习条件,通过三个实验任务（功能预测、自由分类和维度选择）,探讨材料关系复杂性对关系类别间接性学习中选择性注意的影响。结果发现：随着关系复杂性的逐渐增高,被试的选择性注意水平不存在显著差异,但选择性注意的指向性存在极其显著差异,选择性注意的集中性（对无关维度的抑制）不存在显著差异;参照条件下被试选择性注意水平极其显著地高于个人条件,这种差异主要表现在选择性注意的指向性方面,而不表现在选择性注意的集中性（对无关维度的抑制）方面。     

Diagnosticity and prototypicality in category learning: a comparison of inference learning and classification learning

Category knowledge allows for both the determination of category membership and an understanding of what the members of a category are like. Diagnostic information is used to determine category membership; prototypical information reflects the most likely features given category membership. Two experiments examined 2 means of category learning, classification and inference learning, in terms of sensitivity to diagnostic and prototypical information. Classification learners were highly sensitive to diagnostic features but not sensitive to nondiagnostic, but prototypical, features. Inference learners were less sensitive to the diagnostic features than were classification learners and were also sensitive to the nondiagnostic, prototypical, features. Discussion focuses on aspects of the 2 learning tasks that might lead to this differential sensitivity and the implications for learning real-world categories.     

Competitive Processes in Cross‐Situational Word Learning

Cross‐situational word learning, like any statistical learning problem, involves tracking the regularities in the environment. However, the information that learners pick up from these regularities is dependent on their learning mechanism. This article investigates the role of one type of mechanism in statistical word learning: competition. Competitive mechanisms would allow learners to find the signal in noisy input and would help to explain the speed with which learners succeed in statistical learning tasks. Because cross‐situational word learning provides information at multiple scales—both within and across trials/situations—learners could implement competition at either or both of these scales. A series of four experiments demonstrate that cross‐situational learning involves competition at both levels of scale, and that these mechanisms interact to support rapid learning. The impact of both of these mechanisms is considered from the perspective of a process‐level understanding of cross‐situational learning.     

Delayed recovery of working memory following day‐case surgery

Post‐operative recovery of cognitive function is an important outcome measure following surgical anaesthesia. This study examined the influence of task complexity in 12 patients undergoing elective day‐case surgery using reaction time tasks that differed in their stimulus‐response mapping rules (compatible, incompatible, working memory). Tasks were administered at baseline, and at 1, 4 and 24 hours post‐surgery. Compared to a reference group of 18 non‐anaesthetised volunteers, the patient group showed considerable slowing one hour post‐operatively. This slowing remained at the time of discharge (4‐hours), was absent the next day, and did not vary as a function of task complexity. Only attentional lapses in the working memory task were sensitive to the recovery process and residual impairment remained the next day. The findings indicate that tasks requiring efficient access to working memory are impaired for longer than tasks simply requiring access to information passively retained in short‐term memory. Copyright © 2006 John Wiley & Sons, Ltd.     

Pressure to cooperate: Is positive reward interdependence really needed in cooperative learning?

Background. Despite extensive research on cooperative learning, the debate regarding whether or not its effectiveness depends on positive reward interdependence has not yet found clear evidence. Aims. We tested the hypothesis that positive reward interdependence, as compared to reward independence, enhances cooperative learning only if learners work on a ‘routine task’; if the learners work on a ‘true group task’, positive reward interdependence induces the same level of learning as reward independence. Sample. The study involved 62 psychology students during regular workshops. Method. Students worked on two psychology texts in cooperative dyads for three sessions. The type of task was manipulated through resource interdependence: students worked on either identical (routine task) or complementary (true group task) information. Students expected to be assessed with a Multiple Choice Test (MCT) on the two texts. The MCT assessment type was introduced according to two reward interdependence conditions, either individual (reward independence) or common (positive reward interdependence). A follow‐up individual test took place 4 weeks after the third session of dyadic work to examine individual learning. Results. The predicted interaction between the two types of interdependence was significant, indicating that students learned more with positive reward interdependence than with reward independence when they worked on identical information (routine task), whereas students who worked on complementary information (group task) learned the same with or without reward interdependence. Conclusions. This experiment sheds light on the conditions under which positive reward interdependence enhances cooperative learning, and suggests that creating a real group task allows to avoid the need for positive reward interdependence.     

Colloquy: Do Interacting Groups Perform Better Than Aggregates of Individuals?

Recent examples of research about group processes melding individual‐cognitive and social communicative factors have resulted in the application of concepts relevant to individual cognition to groups as a whole. Although based on a helpful metaphor, the practice risks resurrecting discredited “group mind” concepts. One particular concept, “transactive memory system,” implies that a group can “know” all of the knowledge of its individual members. Several studies showing that groups remember more information than do its individual members appear on their face to support this notion. However, a reanalysis of the results of these studies using Lorge‐Solomon (1955) Model B reveals that the groups were not successful at pooling their members' knowledge. This conclusion implies that group interaction does not lead to efficient group information exchange.     

Modeling collective choice: decision‐making on complex intellective tasks

Three studies examined group problem‐solving on complex intellective tasks. In Study 1, a decision model proposed by Laughlin and Hollingshead ( 1995 ) provided the best fit to actual group choices. This study also compared three‐person group versus individual performance with time constrained and number of problems unconstrained, with individuals solving non‐significantly more problems and groups obtaining significantly superior trials‐to‐solution scores. In Study 2, one member of each group was given additional information on how to perform the task and member extroversion was measured. Neither factor significantly impacted the decision‐making process. In Study 3, task expertise was assessed prior to the group interaction. Results indicate that group members were twice as likely to adopt an option proposed by an expert compared to other group members. Together these studies demonstrate that group problem solving is governed jointly by qualities of the task and qualities of the group members. Copyright © 2006 John Wiley & Sons, Ltd.     

Emotion as Substitute Response

This study confirmed an earlier finding that two strategies, termed formula and graphic, markedly affected the speed of learning a binary task, with the former being much the superior. Both “fast” and “slow” learners were able to utilize these strategies; however, “fast” learners were superior throughout, both in terms of number of trials to criterion and total amount of time taken to learn the tasks. Evidence also was obtained suggesting that the use of the more efficient (but also more demanding) strategy by “slow” learners had a certain cost associated with it. Overall, “slow” learners exhibited much more anxious and avoidant behavior than did “fast” learners. Post hoc data obtained on the Ss suggested slow binary task learners to be more field dependent than fast learners.     

The imagination effect increases with an increased intrinsic cognitive load

The imagination effect occurs when learners imagining a procedure or concept perform better on a subsequent test than learners studying rather than imagining. Cognitive load theory explains this result by postulating that information is more likely to be transferred from working to long‐term memory under imagination conditions. In an experiment using elementary school students, it was hypothesised that the imagination effect would be larger using more complex, high intrinsic cognitive load information rather than less complex, low intrinsic cognitive load information because assistance in transferring information to long‐term memory provided by the imagination procedure is less important using simpler materials. Experimental results supported this hypothesis. It was concluded that imagination instructions are more likely to enhance learning when associated with complex information. Copyright © 2007 John Wiley & Sons, Ltd.     

Statistical learning in a serial reaction time task: access to separable statistical cues by individual learners.

The ability of adult learners to exploit the joint and conditional probabilities in a serial reaction time task containing both deterministic and probabilistic information was investigated. Learners used the statistical information embedded in a continuous input stream to improve their performance for certain transitions by simultaneously exploiting differences in the predictability of 2 or more underlying statistics. Analysis of individual learners revealed that although most acquired the underlying statistical structure veridically, others used an alternate strategy that was partially predictive of the sequences. The findings show that learners possess a robust learning device well suited to exploiting the relative predictability of more than I source of statistical information at the same time. This work expands on previous studies of statistical learning, as well as studies of artificial grammar learning and implicit sequence learning.     

Enhancing learning through strategy instruction and group interaction: is active generation of elaborations critical?

We examined strategic intervention when learners were actively engaged in group discussion to assess the impact of peer interaction. In addition, memory performance was compared between students who generated or evaluated elaborations when using the elaborative interrogation strategy, as well as between a supported strategy where learners were provided with explanatory elaborations and a self‐study condition. Introductory psychology students (N=263) in groups of 3 to 5 members studied sixty facts about familiar and unfamiliar animals. Overall, the potency of elaborative interrogation was confirmed regardless of whether students studied interactively or independently. The contribution of group members in facilitating knowledge when the group was able to share sophisticated strategic information also was highlighted. Most critically, when background knowledge was sufficient to promote connections between existing and new material, it was the active generation of elaborations that maximized learning. Copyright © 2000 John Wiley & Sons, Ltd.     

Exploring the rabbit hole of possibilities by myself or with my group: The benefits and liabilities of activating counterfactual mind‐sets for information sharing and group coordination

The current experiment explored the effect of activating a counterfactual mind‐set on the discussion of unique information and group judgment accuracy. Evidence suggests that a counterfactual mind‐set is characterized by a focused, analytic mental state and, when activated at the group level, improves group judgment accuracy in the murder mystery paradigm (a hidden profile task). We hypothesized that the beneficial effect of the counterfactual mind‐set would only help group problem‐solving tasks if the mind‐set had been activated at the group level, allowing the analytical mind‐set to play out in an atmosphere of synergistic coordination. In contrast, if this highly focused mental state is activated at the individual level, it could impair group judgment quality because inwardly focused analytical individuals may fail to coordinate their behavior with other group members. Consistent with our hypothesis, activating a counterfactual mind‐set at the individual level had a debilitating effect on the group judgment task, whereas activating a counterfactual mind‐set at the group level had a facilitative effect, increasing information sharing, synergistic coordination and judgment accuracy. Copyright © 2004 John Wiley & Sons, Ltd.     

Performance gains from directed training do not transfer to untrained tasks

Given the increasing complexity of the tasks and skills needed in modern society, developing effective training strategies is of tremendous practical importance. Furthermore, training that improves performance of both trained and untrained tasks would be highly efficient. In the present study, we examined how directed training contributes to skill acquisition, and more importantly, to engendering transfer of training to untrained tasks. Participants learned a complex video game for 30 h (Space Fortress, Donchin, Fabiani, & Sanders, 1989) using one of two training regimens: Hybrid Variable-Priority Training (HVT), with a focus on improving specific skills and managing task priority, or Full Emphasis Training (FET) in which participants simply practiced the game to obtain the highest overall score. We compared game performance, retention of training gains, and transfer of training to untrained tasks as a function of the training regimen. Compared to FET, HVT learners reached higher levels of mastery on the game and HVT was particularly beneficial for initially poor performing participants. This benefit persisted seven months after training. However, contrary to expectation, both HVT and FET were unsuccessful in producing transfer to untrained tasks compared to a group that received limited game experience, suggesting that directed training and practice can produce task-specific improvements, but improvements do not necessarily transfer from trained to untrained tasks.     

An assessment of the efficiency of and child preference for forward and backward chaining

Comparative studies of forward and backward chaining have led some to suggest that sensitivity to each teaching procedure may be idiosyncratic across learners and tasks. The purposes of the current study were threefold. First, we assessed differential sensitivity to each chaining procedure within children when presented with multiple learning tasks of similar content but different complexity. Second, we evaluated whether differential sensitivity to a chaining procedure during a brief task predicted differential sensitivity during the teaching of longer tasks. Third, we directly assessed children's preferences for each teaching procedure via a concurrent-chains preference assessment. Learners acquired all target skills introduced under both chaining conditions, but individual children did not consistently learn more efficiently with either procedure. Short-duration tasks were not predictive of performance in tasks of longer duration. Both chaining procedures were preferred over a baseline condition without prompting, but participants did not demonstrate a preference for either procedure.     

Student attitudes towards socially acceptable and unacceptable group working practices

While there is much support for co‐operative learning among learning theorists, not all learners exhibit the same enthusiasm for groupwork. A number of factors such as sex, group size and ability mix, subject domain, task type and organization have been shown to influence the effectiveness of co‐operative and collaborative learning. This study established learners' attitudes to various shared working scenarios. In this mixed design, 140 post‐graduate teacher trainees were asked to imagine their responses to seven groupwork scenarios presented as a series of short vignettes. The vignettes varied on the degree of co‐operation required; the sex of the prospective co‐worker(s) including single and mixed‐sex groups; type of assessment, including no assessment at all; and on academically acceptable and unacceptable ‘shared’ working practices. Anticipated attitudinal and behavioural responses of the students were assessed by questionnaire. On the whole, students were cautiously willing to be involved in groupwork. There were caveats, however. Factors such as the characteristics of the group members, the level and type of assessment procedures in operation, and individual differences, including sex and self‐reported social deviance, also governed their responses. There was very limited agreement to be involved in socially undesirable collaborative group activities at a personal level or to condone such activities by others. Those students who showed a tendency towards mild anti‐social behaviour were more willing to take direct punitive action against non‐contributors than their peers. Female students were more willing to invoke the help of the tutor than their male counterparts, but only if the anti‐social behaviour impacted on them personally.     

Optimizing the number of steps in learning tasks for complex skills

Background. Carrying out whole tasks is often too difficult for novice learners attempting to acquire complex skills. The common solution is to split up the tasks into a number of smaller steps. The number of steps must be optimized for efficient and effective learning. Aim. The aim of the study is to investigate the relation between the number of steps provided to learners and the quality of their learning of complex skills. It is hypothesized that students receiving an optimized number of steps will learn better than those receiving either the whole task in only one step or those receiving a large number of steps. Sample. Participants were 35 sophomore law students studying at Dutch universities, mean age = 22.8 years (SD=3.5), 63% were female. Method. Participants were randomly assigned to 1 of 3 computer‐delivered versions of a multimedia programme on how to prepare and carry out a law plea. The versions differed only in the number of learning steps provided. Videotaped plea‐performance results were determined, various related learning measures were acquired and all computer actions were logged and analyzed. Results. Participants exposed to an intermediate (i.e. optimized) number of steps outperformed all others on the compulsory learning task. No differences in performance on a transfer task were found. A high number of steps proved to be less efficient for carrying out the learning task. Conclusions. An intermediate number of steps is the most effective, proving that the number of steps can be optimized for improving learning.     

Classification versus inference learning contrasted with real-world categories

Categories are learned and used in a variety of ways, but the research focus has been on classification learning. Recent work contrasting classification with inference learning of categories found important later differences in category performance. However, theoretical accounts differ on whether this is due to an inherent difference between the tasks or to the implementation decisions. The inherent-difference explanation argues that inference learners focus on the internal structure of the categories—what each category is like—while classification learners focus on diagnostic information to predict category membership. In two experiments, using real-world categories and controlling for earlier methodological differences, inference learners learned more about what each category was like than did classification learners, as evidenced by higher performance on a novel classification test. These results suggest that there is an inherent difference between learning new categories by classifying an item versus inferring a feature.     

The development of mental models for auditory events: Relational complexity and discrimination of pitch and duration

This experiment investigated relational complexity and relational shift in judgments of auditory patterns. Pitch and duration values were used to construct two‐note perceptually similar sequences (unary relations) and four‐note relationally similar sequences (binary relations). It was hypothesized that 5‐, 8‐ and 11‐year‐old children would perform unary level pitch and duration discrimination tasks accurately. Relational shift predicted a poorer performance of the younger age groups on binary relation tasks; relational primacy predicted no effect of age. Accuracy was operationalized as a discrimination index (DI: hit rate minus false alarm rate). Results supported relational shift: DI for all age groups exceeded chance on unary and binary relation tasks, with significantly poorer performance by all age groups on binary relation tasks. The 5‐years age group showed evidence of perceptual similarity. Relational complexity of auditory dimensions and tasks, and manipulation of domain specific musical knowledge in evaluating theories of relational processing, are discussed.