Autonomy Support via Instructionally Irrelevant Choice Not Beneficial for Motor Performance or Learning.

Purpose: The Optimizing Performance Through Motivation and Attention for Learning (OPTIMAL) theory predicts that providing learners with choices during skill acquisition will enhance their acquisition performance, motor learning, and expectancies. Based on this theory, it is recommended that instructors ask learners to choose which tasks to practice in applied settings. This experiment tested these predictions and recommendation by crossing autonomy support with practice schedule in a 2 × 2 factorial design. Method: Participants (N = 128) practiced a novel non-dominant hand dart-throwing task either with choice over the color of the dart flights (autonomy) or yoked to a counterpart's choices (yoked). Further, participants either practiced throwing darts to three different targets in equal amounts (variable) or throwing to the same target for all practice trials (constant). All participants completed a pretest, acquisition phase, 24-hr delayed retention and transfer tests, as well as baseline and post-acquisition autonomy, and self-efficacy measures. Data were analyzed according to a pre-registered analysis plan that included pretest and gender as covariates. Results: The autonomy groups reported significantly greater perceived autonomy at the end of acquisition. There were no significant effects of autonomy on self-efficacy, or motor performance uniquely during acquisition, or uniquely on the delayed transfer test. The autonomy groups, however, performed with significantly greater error across acquisition and transfer. Practice schedule interacted with the time of testing such that the constant groups performed significantly more accurately during acquisition but non-significantly less accurately during transfer than the variable groups. Conclusions: These results are inconsistent with OPTIMAL theory.

The recommendation for learners to be provided with control over their feedback schedule is questioned in a self-controlled learning paradigm.

Evidence that self-controlled feedback schedules are more effective for motor learning than yoked or predetermined schedules has been used to forward the recommendation that practitioners should provide choice to learners over when they would like to receive feedback. This recommendation can be questioned because the typical comparison groups in such experimentation do not well represent the applied setting. Consequently, comparison groups that better map onto the applied setting are needed. To this end, three groups learned a golf putting task: (1) self-controlled, (2) traditional-yoked, and (3) a group who were led to believe their KR schedule was being controlled by a golf coach. Participants (N = 60) completed a pre-test, acquisition phase, and delayed post-tests (retention/transfer). No group differences during the post-tests for mean radial error, F(2, 54) = 2.71, p = .075, or bivariate variable error, F(2, 56) = 0.11, p = .896, were found. Thus, the typical self-controlled learning advantage was not observed. Given the failure to replicate self-controlled benefits, combined with the fact there is little research that has directly compared self-controlled feedback schedules to coach-controlled schedules, we argue more evidence is needed before advocating that learners be provided choice over their feedback schedule.

Varied speeds of video demonstration do not influence the learning of a dance skill.

The effects of slow-motion and real time video speed demonstration, under mixed-modeling conditions (skilled model plus self-observation), were examined to identify whether there was an optimal demonstration speed, or combination thereof, for learning the dance pirouette en dehors skill. Fifty-one participants were randomly assigned to one of three groups with different video demonstration speeds: (1) slow-motion, (2) real-time, or (3) a combination of slow-motion and real-time. Following a pre-test, participants completed eight blocks of nine training trials (comprised of five physical and four observational practice trials). Physical performance and cognitive representation assessments revealed that participants' scores significantly improved for both assessments throughout acquisition (p's < 0.05), as well as from pre- to post-test (p's < 0.001), indicating learning of the skill. There were no significant differences, however, between the three experimental groups. These findings suggest that both real-time and slow-motion video demonstration, or their combined presentation, do not yield differences in motor learning outcomes related to the pirouette en dehors.

Autonomy support and reduced feedback frequency have trivial effects on learning and performance of a golf putting task.

Optimizing Performance Through Intrinsic Motivation and Attention for Learning (OPTIMAL) Theory proposes that choices of any kind support an individual's need for autonomy, motivating them to learn and perform motor skills more effectively. Notably, the authors suggest asking learners to choose when to receive feedback in order to increase autonomy. Conversely, the guidance hypothesis predicts an impact of feedback schedule independent of motivational influences. The purpose of this experiment was to compare the relative and combined effects of autonomy and feedback schedule for the acquisition of a golf putting task without vision of results. Autonomy support (autonomy support vs. yoked) and knowledge of results (KR) schedule (100%-KR vs. 50%-faded-KR) were combined in a 2 × 2 factorial design. Participants (N = 56) in the autonomy support groups were asked to choose from three colours of golf balls for each putt during 10 acquisition blocks. Yoked groups were yoked to the golf ball colour choices of their autonomy support group counterparts. Participants in the 100%-feedback schedule groups were provided x- and y-coordinate KR following every putt during acquisition, while participants in the 50%-faded groups received KR after half of their putts, with feedback frequency decreasing over acquisition blocks. All participants completed a 24-h delayed retention and transfer test without KR. The results were somewhat consistent with OPTIMAL Theory yet the effects were not statistically significant and trivially small. The results were inconsistent with the guidance hypothesis.

Revisiting the Applied Model for the Use of Observation: A Review of Articles Spanning 2011-2018.

Purpose: To provide a review of current articles that have used observation interventions to enhance motor skill acquisition or performance of applied tasks, and to situate the research within the Applied Model for the Use of Observation (AMUO) with the goal of forming a basis for evidence-based guidelines for practitioners. Method: Key words (e.g., observation/modeling) were searched in varied data bases (e.g., Google Scholar/PubMed), along with a citation search of the relevant AMUO article, to generate a pool of articles for possible review. Selection criteria included publication between 2011 and 2018, and that the research focus was on the effects of an observation intervention on the acquisition or performance of an applied motor task. Results: Forty-eight articles were reviewed, with 21 of these targeting the basic question of whether observation is effective, and the remaining pertaining to the What, When, Who, and How features of the AMUO. The effectiveness of observation interventions was not only affirmed, but also extended to a wider scope of populations and settings. Greater insight into the necessary information with respect to the demonstration (what) and whether it should be before, after, or during physical practice (when) was obtained. As well, advantages of combining model types (who) and providing control to the learner (how) were reported. Conclusions: While more clarity was brought to certain features of the AMUO that could be used to provide evidence-based guidelines, more research is needed to fully inform practitioners for the effective use of observation interventions.

Variations in observation frequency in a self-controlled learning environment do not modulate learning of a pirouette en dehors.

Little is known about the optimal frequency to observe a skilled model, yet this is potentially an important learning variable, and thus was examined in the context of self-controlled learning conditions. Participants chose the schedule in which they interspersed both physical and observational trials of a dance skill. The participants' choice, however, was governed by an imposed observation frequency (OF) of either 25%, 50%, or 75%. Participants were in one of these OF groups, in addition to another group in which no constraint was put on OF. This last group was predicted to choose an OF of 10%, however, it was determined that they chose a 50% schedule. Consequently, a 10% OF group was added to the experimental protocol. All participants completed a pre-test, followed by an acquisition phase, and then a 24-hr post-test. Physical performance (F(1, 55) = 143.77, p< .001) and cognitive representation (F(1, 55) = 77.68, p< .001) scores both revealed a significant main effect of Test; scores at post-test were higher than those at pre-test. Thus, learning was demonstrated for both measures. No main effect of Group emerged. Consequently, OF varying from 10% to 75%, under self-controlled conditions, were equally beneficial for learning the dance skill.

Feedforward Self-Modeling and Self-Regulation: It's Not Just for Learning.

Purpose: This research investigated whether Zimmerman's model of self-regulated learning could be transferred into a competitive setting. We also investigated whether a feedforward self-modeling video could influence one's use of self-regulation and as such be an effective self-regulatory intervention. Methods: Nine competitive gymnasts took part in two interviews; one interview was conducted after a competition in which the video was viewed (experimental interview: EI) and the other after a competition where no video was seen (control interview: CI). Results: The gymnasts' responses to the interviews suggested that many processes and beliefs used in the learning context described by Zimmerman were also engaged in within a competitive context. Furthermore, comparison of gymnasts' responses between the EI and CI suggested that the feedforward self-modeling video influenced gymnasts' use of self-regulation during a competition. Conclusion: This research suggests that Zimmerman's model of self-regulation has potential to be transmitted into the competitive context and that an individual's self-regulation can be influenced by viewing a feedforward self-modeling video.

Observing different model types interspersed with physical practice has no effect on consolidation or motor learning of an elbow flexion-extension task.

We compared varied model types and their potential differential effects on learning outcomes and consolidation processes when observational practice was interspersed with physical practice. Participants (N = 75) were randomly assigned to one of five groups: (1) unskilled model observation, (2) skilled model observation, (3) mixed-model observation, (4) physical practice only, and (5) no observational or physical practice (control). All were tasked with learning a waveform-matching task. With exception of the control group not involved in acquisition sessions, participants were involved in one pre-test, two acquisition sessions, four retention tests (immediate-post acquisition 1, 24hr post acquisition 1, immediate-post acquisition 2, and approximate 7-day retention), as well as an approximate 7-day transfer test. No differences were demonstrated in consolidation processes or learning outcomes as all groups showed the same pattern of retention and transfer data. Our conclusion is that motor memory processes were not impacted differentially when different models types were used in observational practice that was intermixed with physical practice for the learning of a movement pattern with low task difficulty, and thus similar learning outcomes emerged for all groups.

Examining the impact of error estimation on the effects of self-controlled feedback.

Two experiments were conducted that examined the motivational and informational perspectives concerning learning advantages from self-controlled practice. Three groups were tasked with learning a novel skill; self-controlled (SC), yoked traditional (YT), and yoked with error estimation required during the acquisition phase (YE). Results from the delayed learning measures showed the YE group performed better than the SC and YT groups, for Expt. 1. A similar pattern emerged for Expt. 2, albeit, this was not significant. While there were no motivation differences across the groups in either experiment, a strong correlation in Expt. 2 was shown between error estimation capabilities, which were best for the YE group, and learning. These combined results suggest that informational processes contribute more to the self-controlled feedback learning advantage, relative to motivational contributions.

Anodal transcranial direct current stimulation over the primary motor cortex does not enhance the learning benefits of self-controlled feedback schedules.

A distinct learning advantage has been shown when participants control their knowledge of results (KR) scheduling during practice compared to when the same KR schedule is imposed on the learner without choice (i.e., yoked schedules). Although the learning advantages of self-controlled KR schedules are well-documented, the brain regions contributing to these advantages remain unknown. Identifying key brain regions would not only advance our theoretical understanding of the mechanisms underlying self-controlled learning advantages, but would also highlight regions that could be targeted in more applied settings to boost the already beneficial effects of self-controlled KR schedules. Here, we investigated whether applying anodal transcranial direct current stimulation (tDCS) to the primary motor cortex (M1) would enhance the typically found benefits of learning a novel motor skill with a self-controlled KR schedule. Participants practiced a spatiotemporal task in one of four groups using a factorial combination of KR schedule (self-controlled vs. yoked) and tDCS (anodal vs. sham). Testing occurred on two consecutive days with spatial and temporal accuracy measured on both days and learning was assessed using 24-h retention and transfer tests without KR. All groups improved their performance in practice and a significant effect for practicing with a self-controlled KR schedule compared to a yoked schedule was found for temporal accuracy in transfer, but a similar advantage was not evident in retention. There were no significant differences as a function of KR schedule or tDCS for spatial accuracy in retention or transfer. The lack of a significant tDCS effect suggests that M1 may not strongly contribute to self-controlled KR learning advantages; however, caution is advised with this interpretation as typical self-controlled learning benefits were not strongly replicated in the present experiment.

Not all choices are created equal: Task-relevant choices enhance motor learning compared to task-irrelevant choices.

Lewthwaite et al. (2015) reported that the learning benefits of exercising choice (i.e., their self-controlled condition) are not restricted to task-relevant features (e.g., feedback). They found that choosing one's golf ball color (Exp. 1) or choosing which of two tasks to perform at a later time plus which of two artworks to hang (Exp. 2) resulted in better retention than did being denied these same choices (i.e., yoked condition). The researchers concluded that the learning benefits derived from choice, whether irrelevant or relevant to the to-be-learned task, are predominantly motivational because choice is intrinsically rewarding and satisfies basic psychological needs. However, the absence of a group that made task-relevant choices and the lack of psychological measures significantly weakened their conclusions. Here, we investigated how task-relevant and task-irrelevant choices affect motor-skill learning. Participants practiced a spatiotemporal motor task in either a task-relevant group (choice over feedback schedule), a task-irrelevant group (choice over the color of an arm-wrap plus game selection), or a no-choice group. The results showed significantly greater learning in the task-relevant group than in both the task-irrelevant and no-choice groups, who did not differ significantly. Critically, these learning differences were not attributed to differences in perceptions of competence or autonomy, but instead to superior error-estimation abilities. These results challenge the perspective that motivational influences are the root cause of self-controlled learning advantages. Instead, the findings add to the growing evidence highlighting that the informational value gained from task-relevant choices makes a greater relative contribution to these advantages than motivational influences do.

An interpolated activity during the knowledge-of-results delay interval eliminates the learning advantages of self-controlled feedback schedules.

The learning advantages of self-controlled knowledge-of-results (KR) schedules compared to yoked schedules have been linked to the optimization of the informational value of the KR received for the enhancement of one's error-detection capabilities. This suggests that information-processing activities that occur after motor execution, but prior to receiving KR (i.e., the KR-delay interval) may underlie self-controlled KR learning advantages. The present experiment investigated whether self-controlled KR learning benefits would be eliminated if an interpolated activity was performed during the KR-delay interval. Participants practiced a waveform matching task that required two rapid elbow extension-flexion reversals in one of four groups using a factorial combination of choice (self-controlled, yoked) and KR-delay interval (empty, interpolated). The waveform had specific spatial and temporal constraints, and an overall movement time goal. The results indicated that the self-controlled + empty group had superior retention and transfer scores compared to all other groups. Moreover, the self-controlled + interpolated and yoked + interpolated groups did not differ significantly in retention and transfer; thus, the interpolated activity eliminated the typically found learning benefits of self-controlled KR. No significant differences were found between the two yoked groups. We suggest the interpolated activity interfered with information-processing activities specific to self-controlled KR conditions that occur during the KR-delay interval and that these activities are vital for reaping the associated learning benefits. These findings add to the growing evidence that challenge the motivational account of self-controlled KR learning advantages and instead highlights informational factors associated with the KR-delay interval as an important variable for motor learning under self-controlled KR schedules.

Self-controlled learning benefits: exploring contributions of self-efficacy and intrinsic motivation via path analysis.

Research has shown learning advantages for self-controlled practice contexts relative to yoked (i.e., experimenter-imposed) contexts; yet, explanations for this phenomenon remain relatively untested. We examined, via path analysis, whether self-efficacy and intrinsic motivation are important constructs for explaining self-controlled learning benefits. The path model was created using theory-based and empirically supported relationships to examine causal links between these psychological constructs and physical performance. We hypothesised that self-efficacy and intrinsic motivation would have greater predictive power for learning under self-controlled compared to yoked conditions. Participants learned double-mini trampoline progressions, and measures of physical performance, self-efficacy and intrinsic motivation were collected over two practice days and a delayed retention day. The self-controlled group (M = 2.04, SD = .98) completed significantly more skill progressions in retention than their yoked counterparts (M = 1.3, SD = .65). The path model displayed adequate fit, and similar significant path coefficients were found for both groups wherein each variable was predominantly predicted by its preceding time point (e.g., self-efficacy time 1 predicts self-efficacy time 2). Interestingly, the model was not moderated by group; thus, failing to support the hypothesis that self-efficacy and intrinsic motivation have greater predictive power for learning under self-controlled relative to yoked conditions.

Judgments of learning are significantly higher following feedback on relatively good versus relatively poor trials despite no actual learning differences.

Studies have consistently shown that prospective metacognitive judgments of learning are often inaccurate because humans mistakenly interpret current performance levels as valid indices of learning. These metacognitive discrepancies are strongly related to conditions of practice. Here, we examined how the type of feedback (after good versus poor trials) received during practice and awareness (aware versus unaware) of this manipulation affected judgments of learning and actual learning. After each six-trial block, participants received feedback on their three best trials or three worst trials and half of the participants were made explicitly aware of the type of feedback they received while the other half were unaware. Judgments of learning were made at the end of each six-trial block and before the 24-h retention test. Results indicated no motor performance differences between groups in practice or retention; however, receiving feedback on relatively good compared to relatively poor trials resulted in significantly higher judgments of learning in practice and retention, irrespective of awareness. These results suggest that KR on relatively good versus relatively poor trials can have dissociable effects on judgments of learning in the absence of actual learning differences, even when participants are made aware of their feedback manipulation.

Self-controlled feedback is effective if it is based on the learner's performance: a replication and extension of Chiviacowsky and Wulf (2005).

The learning advantages of self-controlled feedback schedules compared to yoked schedules have been attributed to motivational influences and/or information processing activities with many researchers adopting the motivational perspective in recent years. Chiviacowsky and Wulf (2005) found that feedback decisions made before (Self-Before) or after a trial (Self-After) resulted in similar retention performance, but superior transfer performance resulted when the decision to receive feedback occurred after a trial. They suggested that the superior skill transfer of the Self-After group likely emerged from information processing activities such as error estimation. However, the lack of yoked groups and a measure of error estimation in their experimental design prevents conclusions being made regarding the underlying mechanisms of why self-controlled feedback schedules optimize learning. Here, we revisited Chiviacowsky and Wulf's (2005) design to investigate the learning benefits of self-controlled feedback schedules. We replicated their Self-Before and Self-After groups, but added a Self-Both group that was able to request feedback before a trial, but could then change or stay with their original choice after the trial. Importantly, yoked groups were included for the three self-controlled groups to address the previously stated methodological limitation and error estimations were included to examine whether self-controlling feedback facilitates a more accurate error detection and correction mechanism. The Self-After and Self-Before groups demonstrated similar accuracy in physical performance and error estimation scores in retention and transfer, and both groups were significantly more accurate than the Self-Before group and their respective Yoked groups (p's < 0.05). Further, the Self-Before group was not significantly different from their yoked counterparts (p's > 0.05). We suggest these findings further indicate that informational factors associated with the processing of feedback for the development of one's error detection and correction mechanism, rather than motivational processes are more critical for why self-controlled feedback schedules optimize motor learning.

Describing strategies used by elite, intermediate, and novice ice hockey referees.

UNLABELLED: Much is known about sport officials' decisions (e.g., anticipation, visual search, and prior experience). Comprehension of the entire decision process, however, requires an ecologically valid examination. To address this, we implemented a 2-part study using an expertise paradigm with ice hockey referees. PURPOSE: Study 1 explored the strategies referees indicated they used to make decisions. For Study 2, we sought to confirm the emergent codes of Study 1 and further examine referee expertise and evaluations of decision making. METHOD: In Study 1, 2 elite, 2 intermediate, and 2 novice referees wore helmet cameras for 1 game and participated in stimulated recall interviews, which were coded using theoretical and focused codes. Study 2 involved focus groups that each watched and commented on 2 helmet camera videotapes from Study 1; 1 videotape consisted of an elite referee's game and the other included an intermediate referee's game. The focus-group data were analyzed using the same coding structure from Study 1. RESULTS: Combined, 3 distinct theoretical codes were identified: (a) primary referee strategies, (b) secondary referee strategies, and (c) cognitive and situational influences on refereeing. Study 1 showed that elite referees demonstrated more sophisticated knowledge of the 3 theoretical codes. In Study 2, elite referees demonstrated enhanced declarative knowledge compared with intermediate and novice participants. CONCLUSIONS: Elite referees have more elaborate knowledge bases than do nonelite referees. In the discussion, we explain our results and link them with the action plan profiles framework.

Coach selections and the relative age effect in male youth ice hockey.

UNLABELLED: Relative age effects (RAEs; when relatively older children possess participation and performance advantages over relatively younger children) are frequent in male team sports. One possible explanation is that coaches select players based on physical attributes, which are more likely witnessed in relatively older athletes. PURPOSE: To determine if coach selections are responsible for RAEs by comparing RAEs in male players who played competitive versus noncompetitive ice hockey. METHODS: Using chi-square, we analyzed the birth dates of 147,991 male ice hockey players who were 5 to 17 years old. Players' birth dates were divided into four quartiles, beginning with January to March, which coincides with Hockey Canada's selection year. RESULTS: There were strong RAEs (p < .001) when players were selected to competitive teams by coaches through a tryout system. On noncompetitive teams that did not have coach selections, there were strong RAEs (p < .001) from 5 to 8 years old, but not 9 to 17 years old. CONCLUSIONS: Although coaches might perpetuate RAEs, other influential social agents might include parents, which ought to be investigated in future research.

Learner-Controlled Self-Observation is Advantageous for Motor Skill Acquisition.

There were two main objectives of this research. First, we wanted to examine whether video feedback of the self (self-observation) was more effective for motor skill learning when the choice to view the video was provided to the learner (learner-controlled, LC) as opposed to an experimenter-controlled (EC) delivery. Secondly, we explored whether there were differences in the self-regulatory processes of self-efficacy and intrinsic motivation, as well as perceived choice between the LC and EC conditions. Two groups (LC and EC) of children (M age of 11.2 years; SD = 1.89) attempted to learn a progression of trampoline skills during a 2-day acquisition phase in which video self-observation was available. The second acquisition day was followed by a no self-observation retention test 1 day later. It was hypothesized that, during retention, the LC group would be more self-efficacious about their ability to progress through the trampoline skills, show greater intrinsic motivation and perceived choice, and go further in skill progression than the EC group. Analysis of the acquisition data showed the LC group had greater increases in self-efficacy as compared to the EC group. Results of the retention test showed that the participants in the LC group obtained higher scores on the intrinsic motivation and perceived choice measures and had higher skill progression scores as compared to the EC group. Regression analysis showed that group assignment and self-efficacy were significant predictors of the physical performance benefits noted in retention. These findings are discussed within Zimmerman's (2004) self-regulation of learning model.

Effects of a rule change that eliminates body-checking on the relative age effect in Ontario minor ice hockey.

Relative age effects in sport reflect an over-representation of athletes born early in a selection year that lead to selection and performance advantages. These effects might be enhanced by rules that increase physicality. An opportunity to investigate these influences arose when Hockey Canada altered its body-checking rules. Two studies are described that investigate the possible influence of this rule change. Study 1 used cross-sectional data to contrast relative age effects for 9-year-olds in games with and without body-checking (birth quartile 1 ranged from 27 to 39%; birth quartile 4 from 10 to 20%). Study 2 used quasi-longitudinal data to examine age effects when players transitioned from a season in which body-checking was permitted to one that prohibited such checking (birth quartile 1 ranged from 27 to 39%; birth quartile 4 from 11 to 20%). Chi-square statistics demonstrated relative age effects in both studies irrespective of body-checking. Post-hoc analyses indicated reductions in these effects that were limited to some second and third quartiles when body-checking was prohibited. Body-checking is not a critical mechanism of relative age effects. The physicality of ice hockey, regardless of body-checking, and increased experience in ice hockey are influential.

Feedforward self-modeling enhances skill acquisition in children learning trampoline skills.

The purpose of this research was to examine whether children would benefit from a feedforward self-modeling (FSM) video and to explore possible explanatory mechanisms for the potential benefits, using a self-regulation framework. To this end, children were involved in learning two five-skill trampoline routines. For one of the routines, a FSM video was provided during acquisition, whereas only verbal instructions were provided for the alternate routine. The FSM involved editing video footage such that it showed the learner performing the trampoline routine at a higher skill level than their current capability. Analyses of the data showed that while physical performance benefits were observed for the routine that was learned with the FSM video, no differences were obtained in relation to the self-regulatory measures. Thus, the FSM video enhanced motor skill acquisition, but this could not be explained by changes to the varied self-regulatory processes examined.