The Efficiency of Skilled Performance

The observed ease or effort of performance has traditionally been considered an integral part of any definition of skill (e.g., Guthrie, 1935). Empirical investigations of skill learning and performance have, however, largely ignored the effort or efficiency with which the movement is performed. This situation has arisen despite the fact that in many skills, particularly athletic endurance events or industrial work tasks, efficiency of performance may be essential to the goal of the task. This paper focuses on the energy demand of various skills and its relationship to issues of learning, performance, and individual differences in preferred rhythm. It is shown that across a variety of tasks the individual’s freely chosen work-rate is the most efficient. The significance of preferred rhythm to theoretical perspectives on rhythmic activity is discussed.     

EVALUATION OF TASK AND JOB SKILL LINKAGE JUDGMENTS USED TO DEVELOP TEST SPECIFICATIONS

The research on job analysis judgments, such as "time spent," has been relatively limited, particularly with reference to external criteria remote from the job analysis operation. The more complex job analysis judgment linking a job skill to specific tasks or duties has not been systematically examined. While it would appear that a simple scaling of importance of a skill for a task or duty or a retranslation judgment would suffice, the fact is that a single job skill may be a prerequisite for performance in a variety of tasks, and any one task may require multiple skills of varying levels for effective performance. With a multiple assignment of tasks to job skills, the evaluation becomes considerably more difficult. In the present study, a sequence of statistical evaluations was conducted to examine, first, the reliability of the subject matter expert (SME) panel's association of tasks and job skills and, second, the factor structure of the task by job skill relationship. The results are discussed with reference to developing selection test specifications and test budgets.     

Differences in cortical activity related to motor planning between experienced guitarists and non-musicians during guitar playing

The influence of motor skill learning on movement-related brain activity was investigated using electroencephalography. Previous research has indicated that experienced performers display movement-related cortical potentials (MRCPs) of smaller amplitude and later onset compared to novices. Unfortunately, previous studies have lacked ecological validity with experimenters recording the MRCP prior to simple motor tasks and applying the results to more complex motor skills. This study replicated previous research using an ecologically valid motor skill; recording the MRCP from a group of experienced guitarists and a control group of non-musicians while they played a simple scale on the guitar. Results indicated no difference between groups in early motor planning. In contrast, the later, negative slope and motor potential components were of smaller amplitude and the negative slope began later in the experienced guitarists. The data may indicate that, for experienced guitarists, a reduced level of effort is required during the motor preparation phase of the task. These findings have implications for musical instrument learning as well as motor skill acquisition in general.     

Development of Different Forms of Skill Learning Throughout the Lifespan

The acquisition of complex motor, cognitive, and social skills, like playing a musical instrument or mastering sports or a language, is generally associated with implicit skill learning (SL). Although it is a general view that SL is most effective in childhood, and such skills are best acquired if learning starts early, this idea has rarely been tested by systematic empirical studies on the developmental pathways of SL from childhood to old age. In this paper, we challenge the view that childhood and early school years are the prime time for skill learning by tracking age‐related changes in performance in three different paradigms of SL. We collected data from participants between 7 and 87 years for (1) a Serial Reaction Time Task (SRT) testing the learning of motor sequences, (2) an Artificial Grammar Learning (AGL) task testing the extraction of regularities from auditory sequences, and (3) Probabilistic Category Learning in the Weather Prediction task (WP), a non‐sequential categorization task. Results on all three tasks show that adolescence and adulthood are the most efficient periods for skill learning, since instead of becoming less and less effective with age, SL improves from childhood into adulthood and then later declines with aging.     

Application of motor learning principles to complex surgical tasks: searching for the optimal practice schedule

Practice of complex tasks can be scheduled in several ways: as whole-task practice or as practice of the individual skills composing the task in either a blocked or a random order. The authors used those 3 schedules to study 18 participants' learning of an orthopedic surgical task. They assessed learning by obtaining expert evaluation of performance and objective kinematic measures before, immediately after, and 1 week after practice (transfer test). During acquisition, the blocked group showed superior performance for simple skills but not for more complex skills. For the expert-based measures of performance, all groups improved from pretest to posttest and remained constant from posttest to transfer. Measures of the final product showed that the whole-practice group's outcomes were significantly better than those of the random group on transfer. All groups showed better efficiency of motions in the posttest than in the pretest. Those measures were also poorer on the transfer test than on the posttest. The present evidence does not support the contextual interference effect--hypothetically, because of the inherent cognitive effort effect associated with some of the component skills. The authors recommend that surgical tasks composed of several discrete skills be practiced as a whole. The results of this study demonstrate the importance of critically appraising basic theories in applied environments.     

Patterns of interference in sequence learning and prism adaptation inconsistent with the consolidation hypothesis

The studies reported here used an interference paradigm to determine whether a long-term consolidation process (i.e., one lasting from several hours to days) occurs in the learning of two implicit motor skills, learning of a movement sequence and learning of a visuo-motor mapping. Subjects learned one skill and were tested on that skill 48 h later. Between the learning session and test session, some subjects trained on a second skill. The amount of time between the learning of the two skills varied for different subjects. In both the learning of a movement sequence and the learning of a visuo-motor mapping, we found that remote memories were susceptible to interference, but the passage of time did not afford protection from interference. These results are inconsistent with the long-term consolidation of these motor skills. A possible difference between these tasks and those that do show long-term consolidation is that the present tasks are not dynamic motor skills.     

Use of rhythm in acquisition of a computer-generated tracking task.

This research assessed whether rhythm aids acquisition of motor skills by providing cues for the timing of those skills. Rhythms were presented to participants visually or visually with auditory cues. It was hypothesized that the auditory cues would facilitate recognition and learning of the rhythms. The three timing principles of rhythms were also explored. It was hypothesized that rhythms that satisfied all three timing principles would be more beneficial in learning a skill than rhythms that did not satisfy the principles. Three groups learned three different rhythms by practicing a tracking task. After training, participants attempted to reproduce the tracks from memory. Results suggest that rhythms do help in learning motor skills but different sets of timing principles explain perception of rhythm in different modalities.     

Neural Representations of Nondeclarative Memories

ABSTRACT— Nondeclarative learning refers to abilities characterized by a lack of awareness of what has been learned and an independence from medial temporal lobe structures that support conscious memories of facts and events. Neuroimaging approaches have been used extensively in two domains of nondeclarative learning—priming and skill learning—to investigate the neural substrates supporting performance. Recent neuroimaging studies have attempted to understand what is being learned in different tasks in order to inform psychological theories of nondeclarative memory. For example, priming may be considered a form of perceptual learning or a form of stimulus–response learning, and correlations between performance and activation patterns in different regions may suggest the nature of the brain changes that support behavior. The attainment of expertise in a skill has been characterized as greater efficiency of processing in the same neural structures that support novice performance or, alternatively, as the recruitment of additional regions. Current research suggests that, within the domains of priming and skill learning, there is much heterogeneity in the underlying brain representations and psychological theories will need to account for these variations.     

Role of Verbal Working Memory in Complex Skill Acquisition

Although research has shown that general cognitive ability is related to performance during the initial stage of skill acquisition, empirical evidence is needed to increase understanding of the primary abilities responsible for the relation. We propose that verbal working memory is related to initial skill acquisition performance based on cognitive activities people enact when learning complex skills. After completing a general cognitive ability measure and a test of verbal working memory, 120 undergraduate students performed a complex computer simulation. The working memory test accounted for a meaningful amount of performance variance after statistically controlling for the general cognitive ability measure. These data suggest that tasks depending heavily on the activation of multiple knowledge structures may be understood in terms of individual differences in working memory.     

The beneficial effect of synchronized action on motor and perceptual timing in children

We examined the role of action in motor and perceptual timing across development. Adults and children aged 5 or 8 years old learned the duration of a rhythmic interval with or without concurrent action. We compared the effects of sensorimotor versus visual learning on subsequent timing behaviour in three different tasks: rhythm reproduction (Experiment 1), rhythm discrimination (Experiment 2) and interval discrimination (Experiment 3). Sensorimotor learning consisted of sensorimotor synchronization (tapping) to an isochronous visual rhythmic stimulus (ISI = 800 ms), whereas visual learning consisted of simply observing this rhythmic stimulus. Results confirmed our hypothesis that synchronized action during learning systematically benefitted subsequent timing performance, particularly for younger children. Action‐related improvements in accuracy were observed for both motor and perceptual timing in 5 years olds and for perceptual timing in the two older age groups. Benefits on perceptual timing tasks indicate that action shapes the cognitive representation of interval duration. Moreover, correlations with neuropsychological scores indicated that while timing performance in the visual learning condition depended on motor and memory capacity, sensorimotor learning facilitated an accurate representation of time independently of individual differences in motor and memory skill. Overall, our findings support the idea that action helps children to construct an independent and flexible representation of time, which leads to coupled sensorimotor coding for action and time.     

Acquisition of hierarchical reactive skills in a unified cognitive architecture

In this paper, we review Icarus, a cognitive architecture that utilizes hierarchical skills and concepts for reactive execution in physical environments. In addition, we present two extensions to the framework. The first involves the incorporation of means-ends analysis, which lets the system compose known skills to solve novel problems. The second involves the storage of new skills that are based on successful means-ends traces. We report experimental studies of these mechanisms on three distinct domains. Our results suggest that the two methods interact to acquire useful skill hierarchies that generalize well and that reduce the effort required to handle new tasks. We conclude with a discussion of related work on learning and prospects for additional research, including extending the framework to cover developmental phenomena.     

Investigation on the improvement and transfer of dual-task coordination skills

Recent research has demonstrated that dual-task performance in situations with two simultaneously presented tasks can be substantially improved with extensive practice. This improvement was related to the acquisition of task coordination skills. Earlier studies provided evidence that these skills result from hybrid practice, including dual and single tasks, but not from single-task practice. It is an open question, however, whether task coordination skills are independent from the specific practice situation and are transferable to new situations or whether they are non-transferable and task-specific. The present study, therefore, tested skill transfer in (1) a dual-task situation with identical tasks in practice and transfer, (2) a dual-task situation with two tasks changed from practice to transfer, and (3) a task switching situation with two sequentially presented tasks. Our findings are largely consistent with the assumption that task coordination skills are non-transferable and task-specific. We cannot, however, definitively reject the assumption of transferable skills when measuring error rates in the dual-task situation with two changed tasks after practice. In the task switching situation, single-task and hybrid practice both led to a transfer effect on mixing costs.     

Multimedia comprehension skill predicts differential outcomes of web-based and lecture courses

College students (134 women and 55 men) participated in introductory psychology courses that were offered largely online (on the World Wide Web) or in a lecture format. Student comprehension skills were inferred from their scores on a multimedia comprehension battery. The learning of content knowledge was affected interactively by comprehension skill level and course format. Differences between format increased with comprehension skill such that the Web-based course advantage became greater as comprehension skill increased. This same pattern was not seen when self-reports of comprehension ability were used as the predictor. Furthermore, comprehension skill did not predict course satisfaction. Generally, students of all skill levels preferred the lecture courses.     

Performance Indicators in Math: Implications for Brief Experimental Analysis of Academic Performance

Brief experimental analysis (BEA) can be used to specify intervention characteristics that produce positive learning gains for individual students. A key challenge to the use of BEA for intervention planning is the identification of performance indicators (including topography of the skill, measurement characteristics, and decision criteria) that meaningfully relate to longer term success in the learning environment. This study investigates the utility of various curriculum-based assessment and measurement estimates of mathematics performance for predicting functional outcomes (i.e., retention of learned skills over time and faster learning of related content in the future). All children in grades 2–5 at the participating school participated in protocol-based computational fluency-building intervention 4 days per week for an entire school year. Specific criteria were applied each week to systematically increase intervention difficulty classwide according to a pre-established sequence of computational skill objectives. Three measurements were routinely obtained. Each week children completed a timed probe of the skill for which intervention was currently occurring and a timed probe of previously mastered skills from the sequence of computational skill objectives. Each month, all children completed a timed probe of mathematics skills representing computational skills that students were expected to master by year’s end at each grade level. At all grade levels, learning a skill that appeared early in the hierarchy or sequence of skills related positively to learning of future related and more complex computational skills. Fluency criteria were specified that predicted retention of the skill over several months.     

Positive transfer and negative transfer/antilearning of problem-solving skills

In problem-solving research, insights into the relationship between monitoring and control in the transfer of complex skills remain impoverished. To address this, in 4 experiments, the authors had participants solve 2 complex control tasks that were identical in structure but that varied in presentation format. Participants learned to solve the 2nd task on the basis of their original learning phase from the 1st task or learned to solve the 2nd task on the basis of another participant's learning phase. Experiment 1 showed that, under conditions in which the participant's learning phase was experienced twice, performance deteriorated in the 2nd task. In contrast, when the learning phases in the 1st and 2nd tasks differed, performance improved in the 2nd task. Experiment 2 introduced instructional manipulations that induced the same response patterns as those in Experiment 1. In Experiment 3, further manipulations were introduced that biased the way participants evaluated the learning phase in the 2nd task. In Experiment 4, judgments of self-efficacy were shown to track control performance. The implications of these findings for theories of complex skill acquisition are discussed.     

The Specificity of Motor Skill and Manual Asymmetry: A Review of the Evidence and Its Implications

Results of investigations on gaining control of limb movements are reviewed, and their contribution to understanding the development of manual asymmetries is discussed in relation to the discrimination and programming of appropriate neuromuscular resources. An examination of the relevant evidence on number and types of manual asymmetries recorded provides strong grounds for concluding that where asymmetries occur, they simply represent a further example of the well-documented activity-specific nature of motor skills and of the extremely lengthy periods of learning or experience needed for their acquisition and perfection. This specificity of motor skill and manual asymmetry also readily accounts for most of the discrepancy usually reported between assessments of hand preference and performance differences between hands, because these alternative measures of handedness have rarely employed the same range or variety of tasks.     

Regional differences in brain volume predict the acquisition of skill in a complex real-time strategy videogame

Previous studies have found that differences in brain volume among older adults predict performance in laboratory tasks of executive control, memory, and motor learning. In the present study we asked whether regional differences in brain volume as assessed by the application of a voxel-based morphometry technique on high resolution MRI would also be useful in predicting the acquisition of skill in complex tasks, such as strategy-based video games. Twenty older adults were trained for over 20 h to play Rise of Nations, a complex real-time strategy game. These adults showed substantial improvements over the training period in game performance. MRI scans obtained prior to training revealed that the volume of a number of brain regions, which have been previously associated with subsets of the trained skills, predicted a substantial amount of variance in learning on the complex game. Thus, regional differences in brain volume can predict learning in complex tasks that entail the use of a variety of perceptual, cognitive and motor processes.     

Effects of Practice Conditions and Supplemental Training Method on Cognitive Learning and Interpersonal Skill Generalization

Organizational expenditures for interpersonal-skills training have been rising. However, little is known about the translation of cognitive learning into skilled interpersonal-task performance, or about the mechanisms through which interpersonal skills in one domain generalize to other interpersonal tasks. This study used a 2 × 2 experimental design to examine the effectiveness of neutral versus stressful practice conditions and mastery-versus performance-oriented supplemental training for improving cognitive learning and interpersonal-skill transfer to a novel task. Participants who experienced stressful salary-negotiation practice conditions, followed by mastery-oriented supplemental training, showed greater skill transfer when performing a novel task (i.e., contract negotiations). Results showed that superior cognitive learning (i.e., recall, comprehension, and synthesis) and greater time on task were the mechanisms that supported interpersonal-skill transfer for trainees in the stressful practice/ mastery-oriented training condition when compared with the other experimental groups.     

An implicit basis for the retention benefits of random practice

The cognitive effort explanations of contextual interference (CI) and implicit motor learning represent a paradox in which cognitive involvement is seen to be advantageous or disadvantageous for learning. The authors aimed to resolve this paradox by measuring cognitive effort and working memory dependence during low and high CI practice on two Australian Rules Football tasks (kicking and handball). Measures of cognitive effort included: kicking and handball outcome performance during acquisition and during a test of retention, performance on a probe reaction time task during a sample of acquisition trials, and self-reported levels of cognitive effort. Measures of implicit and explicit learning included kicking and handball performance during a secondary task transfer, and self-report verbal protocols (number of verbal rules and hypotheses reported). The results suggest that high CI may cause an implicit mode of learning, perhaps due to the interference caused by task switching. However, these findings are restricted to the more complex of the 2 tasks (kicking).