Using segmentation to support the learning from animated soccer scenes: An effect of prior knowledge

ObjectivesWe used a cognitive load perspective to investigate the effects of levels of learner expertise and different forms of segmentation in learning from animated soccer scenes.MethodExpert and novice players (N = 48) completed a recall reconstruction-test and rated their invested mental effort after studying a continuous animation, a macro-step and a micro-step segmented animation.ResultsFindings demonstrated an expertise reversal effect for segmentation. It positively affected learning outcomes of novices but not experts (even though they still invested less mental effort and repeated the animation less often in the two segmented conditions). Additionally, novices benefited more from micro-step segmentation than from macro-step segmentation, while experts performed at the same level with both forms of segmentation.ConclusionsStudy results suggested that adapting instructional animation formats to players with different levels of expertise should be a crucial part of successful training.     

Attending to the execution of a complex sensorimotor skill: expertise differences, choking, and slumps

A simulated baseball batting task was used to compare the relative effects of attending to extraneous information (tone frequency) and attending to skill execution (direction of bat movement) on performance and swing kinematics and to evaluate how these effects differ as a function of expertise. The extraneous dual task degraded batting performance in novices but had no significant effect on experts. The skill-focused dual task increased batting errors and movement variability for experts but had no significant effect on novices. For expert batters, accuracy in the skill-focused dual task was inversely related to the current level of performance. Expert batters were significantly more accurate in the skill-focused dual task when placed under pressure. These findings indicate that the attentional focus varies substantially across and within performers with different levels of expertise.     

Implicit learning and emotional responses in nine-month-old infants

To study the interplay between motor learning and emotional responses of young infants, we developed a contingent learning paradigm that included two related, difficult, operant tasks. We also coded facial expression to characterise emotional response to learning. In a sample of nine-month-old healthy Chinese infants, 44.7% achieved learning threshold during this challenging arm-conditioning test. Some evidence of learning was observed at the beginning of the second task. The lowest period of negative emotions coincided with the period of maximum movement responses after the initiation of the second task, and movement responses negatively correlated with the frequency of negative emotions. Positive emotions, while generally low throughout the task, increased during peak performance especially for learners. Peak frequency of movement responses was positively correlated with the frequency of positive emotions. Despite the weak evidence of learning this difficult task, our results from the learners would suggest that increasing positive emotions, and perhaps down-regulating negative emotional responses, may be important for improving performance and learning a complex operant task in infancy. Further studies are necessary to determine the role of emotions in learning difficult tasks in infancy.     

多媒体学习中线索原则是否存在经验逆转效应?——来自两项元分析的证据

经验逆转效应指出,对低先备知识者学习有积极作用的教学设计可能对高先备知识者无效,甚至有消极影响。本研究分别对高、低先备知识者进行关于线索对其学习过程中主观认知负荷及学习结果影响的元分析,检验线索原则是否存在经验逆转效应及认知负荷理论能否解释线索原则的经验逆转效应。结果表明,线索能降低低先备知识者学习过程中的主观认知负荷并促进其学习表现;但线索对高先备知识者认知负荷及学习成绩的总效应均不显著。结合元分析结果,本研究证明了在多媒体学习环境下线索原则存在部分经验逆转,且部分支持了线索原则经验逆转效应的认知负荷理论解释。     

The influence of degree of expertise and objective task complexity on perceived task complexity and performance

Research on expertise has shown that nonexperts may sometimes outperform experts. Some researchers have suggested that superior performance by experts depends on the match between the experts' cognition and the demands of the task. The authors explored this issue using a quasi-experiment set in an organization. They examined how 3 sets of similar tasks that differ in their type of complexity can lead to differences in task perceptions and performance among experts, intermediates, and novices. The results suggest that experts and novices pay attention to different aspects of a task and that this affects both their perceptions of task complexity (i.e., task analyzability and variability) and their performance on the task.     

Influence of Domain Knowledge on Monitoring Performance Across the Life Span

Two studies were conducted to investigate effects of domain knowledge on metacognitive monitoring across the life span in materials of different complexity. Participants from 4 age groups (3rd-grade children, adolescents, younger and older adults) were compared using an expert–novice paradigm. In Study 1, soccer experts’ and novices’ ease-of-learning judgments (EOLs), judgments of learning (JOLs), and confidence judgments (CJs) were contrasted when memorizing soccer-related word pairs. In Study 2, monitoring judgments (i.e., a rating of global comprehension, JOLs, and CJs) were collected in regards to a soccer-related narrative. The results of both approaches showed that experts’ better memory performance obtained in both studies was not always accompanied by advantages in monitoring performance. In Study 1, experts of all ages outperformed novices in monitoring accuracy. In Study 2, no benefits of expertise on monitoring were found; in children, novices even surpassed experts in monitoring quality. In both studies, the most consistent influence of previous domain knowledge on monitoring performance concerned more optimistic judgments of experts compared with novices, regardless of stimuli and recall format. In sum, our results document a twofold effect of expertise on monitoring. Although domain-specific knowledge enhances monitoring performance in some situations, more optimistic estimates, presumably due to the application of a familiarity heuristic, typically reduce experts’ monitoring accuracy.     

情感代理能否提高多媒体学习的效果?

近年来,情感代理如何影响学习受到了研究者们的高度重视。情感代理是可以通过面部表情、声音、肢体动作和言语信息等影响学习者情感体验的教学代理。以往研究主要关注两种类型的情感代理：表达型情感代理和移情型情感代理。表达型情感代理是仅通过自身的情绪表达(如：使用微笑的面部表情和热情的声音)以影响学习者情绪体验的代理。移情型情感代理则是能根据学习者的学习表现或情绪状态给予情感反馈(如;点头、鼓励和共情)的代理,其目的是为了调节学习者的情绪、激励其继续努力。虽然不同的研究者对情感代理的具体操作有所不同,但无论哪种类型的情感代理均是为了增加学习者的积极情绪,提高内部动机,最终促进学习。关于情感代理的潜在作用,研究者基于不同的理论观点给出了不同的解释。情绪感染理论认为一个人的情绪状态容易受到另一个人情绪表达的影响,因此界面代理的情绪会直接影响学习者的情绪和动机。情绪反应理论认为如果教师的言语和非言语线索诱发了积极的情绪,学习者就会产生趋近学习的行为(例如,制定相应的学习计划)。多媒体学习认知情感理论强调了学习过程中情感和动机的重要性。基于多媒体学习认知情感理论,情感代理能唤起学习者的积极情绪,增加学习动机,进而提高学习成绩。而认知负荷理论和干扰理论却认为情感代理丰富的面部表情和手势动作可能会增加学习者的外部认知负荷,吸引学习者的注意力,减少对关键信息的注意,因此干扰学习效果。在上述理论的指导下,研究者们对情感代理的效果进行了探究,结果发现,情感代理可以有效地唤起学习者的积极情绪(d_积极情绪= 0.45),提高学习动机(d_内部动机= 0.52)。但不一定能影响认知负荷（d_{内部认知负荷} = -0.01;d_{外部认知负荷} = 0.09;d_{相关认知负荷} = 0.08）,并且在学习效果上的作用也比较微弱(d_保持 = 0.18;d_理解 = 0.32;d_迁移 = 0.14;d_联合 = 0.32)。情感代理在学习效果上的作用不稳健的原因可能是受到了潜在调节因素的影响。例如,学习者的个体特征（如,工作记忆能力和年级水平）、情感代理的类型、任务特征和测验时间等。总之,尽管目前关于情感代理的研究结果存在不一致,但整体而言,在积极情感代理条件下,学习者更加快乐,更有动力。因此,在教育实践中,教学设计者可以考虑为学习者呈现一个积极的教学代理以帮助他们更加快乐地学习。未来关于情感代理的研究需要继续关注情感代理的操纵和评定方法;探究影响情感代理效果的边界条件;考察情感代理影响学习背后的神经机制;提高情感代理研究的生态效度等。     

Imitation as a Learning Strategy during Sibling Teaching

ABSTRACT

The sibling relationship represents a unique bond characterized by a high degree of closeness and intimacy, which fosters teaching and learning. Two studies investigated associations between sibling-directed teaching, imitation as a learning strategy, and learner involvement during a semi-structured, video-taped construction task. Study 1 also examined associations with the teacher’s Theory of Mind (ToM) abilities; Study 2 focused on associations with birth order and sibling relationship quality. In both studies, siblings ranged from preschool-age to the cusp of middle childhood (Study 1 n = 61; Study 2 n = 72). Findings across both studies indicated that learners engaged in significantly more nonverbal than verbal imitation and imitation was predominately immediate and not deferred. Teachers responded to both verbal and nonverbal learner imitation positively, corrected, or did not respond. In Study 1, learner task involvement was predicted by learner age and nonverbal imitation, while teaching strategies that were positively related to the teacher’s ToM abilities were associated with learner imitation. In Study 2, younger siblings’ reports of a positive sibling relationship were significantly associated with learner imitation. Birth order differences were only evident for younger (but not older) sibling learner imitation and task involvement. Findings are discussed in light of relationships and social constructivist theories of development.     

Attention and expertise in multiple target tracking

An experiment is reported examining the role of attention and expertise in multiple target tracking. It compares the ability of professional radar operators (experts) and undergraduate students (novices) to acquire and track subsets of randomly moving targets amongst distractors, and respond appropriately to a probe. Participants undertook this tracking task alone then, subsequently, in conjunction with a second, digit categorization task. For half the participants, the second task commenced prior to the tracking task's target acquisition phase, for the remainder after. Results suggest experts are better than novices across all conditions. Further, a comparison of results between the two dual task conditions indicates that attentional resources make a contribution to target tracking in both novices and experts, but only appear to make a contribution to target acquisition in novices. The results have implications for theories of multiple target tracking; the selection of radar operators; and the monitoring of their training. Copyright © 2004 John Wiley & Sons, Ltd.     

诱发的积极情绪会促进多媒体学习吗?

近来, 教育心理学领域开始关注情绪因素对多媒体学习的影响, 其中诱发情绪逐渐成为研究者关注的指导设计形式。已有研究主要通过外部情绪诱发和内部情绪设计来考察诱发的积极情绪在学习过程中的作用, 并发现外部情绪诱发和内部情绪设计能够成功诱发积极情绪, 但由于情绪诱发方式的多样性和多媒体学习过程的复杂性, 诱发的积极情绪对学习效果的促进作用比较微弱。综述发现, 7项涉及外部情绪诱发的实验在学习结果上产生的效应量中值分别为d_保持 = -0.25, d_理解 = 0.04, d_迁移 = 0.30; 14项涉及内部情绪设计的实验在学习结果上产生的效应量中值分别为d_保持 = 0.27, d_理解 = 0.36, d_迁移 = 0.29。诱发的情绪对学习过程的主观体验影响很小。多媒体学习认知情感理论认为诱发的积极情绪会通过动机的中介作用进而促进学习; 相反, 认知负荷理论认为诱发的积极情绪会增加学习者的外在认知负荷从而阻碍学习。未来研究仍需关注情绪的操纵方法、效果评定以及潜在调节变量的作用等。     

The implicit benefit of learning without errors

Two studies examined whether the number of errors made in learning a motor skill, golf putting, differentially influences the adoption of a selective (explicit) or unselective (implicit) learning mode. Errorful learners were expected to adopt an explicit, hypothesis-testing strategy to correct errors during learning, thereby accruing a pool of verbalizable rules and exhibiting performance breakdown under dual-task conditions, characteristic of a selective mode of learning. Reducing errors during learning was predicted to minimize the involvement of explicit hypothesis testing leading to the adoption of an unselective mode of learning, distinguished by few verbalizable rules and robust performance under secondary task loading. Both studies supported these predictions. The golf putting performance of errorless learners in both studies was unaffected by the imposition of a secondary task load, whereas the performance of errorful learners deteriorated. Reducing errors during learning limited the number of error-correcting hypotheses tested by the learner, thereby reducing the contribution of explicit processing to skill acquisition. It was concluded that the reduction of errors during learning encourages the use of implicit, unselective learning processes, which confer insusceptibility to performance breakdown under distraction.     

On the origin of intermediate effects in clinical case recall

In two experiments, the effects of level of medical expertise and study time on free recall of a clinical case were assessed. In Experiment 1, a nonmonotonic relationship between level of expertise and recall was found: Subjects of intermediate levels of expertise remembered more information from the case than both experts and novices. This “intermediate effect” disappeared, however,when study time was restricted. Analysis of post hoc acquired protocols of pathophysiological knowledge active during case processing suggested that this phenomenon could be attributed to the nature of the pathophysiological knowledge mobilized to comprehend the case. In Experiment 2, this assumption was directly tested by priming relevant pathophysiological knowledge for either a short or a longer period, before enabling subjects to study the case briefly. Free-recall data confirmed and extended the results of Experiment 1. Again, an intermediate effect was found; this time, however, it was generated experimentally. The findings were interpreted in terms of qualitative differences in the nature of the knowledge structures underlying performance between novices, advanced students, and medical experts: Experts use knowledge in an encapsulated mode while comprehending a case, whereas students use elaborated knowledge.     

The Development of Anaphora Resolution at the Syntax-Discourse Interface: Pronominal Subjects in Greek Learners of Spanish

This study explores the development of anaphora resolution (AR) in late sequential bilinguals, namely, adult Greek learners of Spanish at three proficiency levels (intermediate, lower advanced, upper advanced). The use of an overt/null pronominal subject anaphor is investigated in three discourse contexts: topic-continuity (a single antecedent requiring a null pronoun), contrastive-focus (two same-gender potential antecedents requiring an overt pronoun to avoid ambiguity) and emphatic (three same-gender potential antecedents showing unclear preference for either overt or null pronoun). Crucially, AR behaves similarly in Greek and Spanish. Results from an offline contextualised acceptability judgement task show that similarity between the learner’s first (L1) and second (L2) languages does not necessarily facilitate the learning task. Even very advanced learners show deficits, which are selective since not all discursive contexts are equally affected. The results are better accounted for by general pragmatic economy principles: Learners prefer being redundant (overuse of overt pronouns in topic-continuity contexts) to ambiguous (acceptance of null pronouns in contrastive-focus contexts). Such tolerance for redundancy may reflect a more general pragmatic tendency, as also reported in child L1 development, adult L2 development and also in native grammars.     

Bothered by abstraction: the effect of expertise on knowledge transfer and subsequent novice performance.

Although experts should be well positioned to convey their superior knowledge and skill to novices, the organization of that knowledge, and particularly its level of abstraction, may make it difficult for them to do so. Using an electronic circuit-wiring task, the authors found that experts as compared with beginners used more abstract and advanced statements and fewer concrete statements when providing task instructions to novices. In a 2nd study, the authors found that beginner-instructed novices performed better than expert-instructed novices and reported fewer problems with the instructions when performing the same task. In Study 2, the authors found that although novices performed better on the target task when instructed by beginners, they did better on a different task within the same domain when instructed by experts. The evidence suggests that the abstract, advanced concepts conveyed by experts facilitated the transfer of learning between the different tasks.     

Experts’ memory: an ERP study of perceptual expertise effects on encoding and recognition

This study examined how perceptual expertise facilitates encoding and recognition. The electroencephalogram of car experts and car novices was recorded in the study as well as test phases of a remember/know task with car and bird stimuli. Car expertise influenced performance and event-related potentials (ERPs) for cars but not birds. Experts recognized and “recollected” cars more accurately, while novices had more false alarms. The ERPs provided neural evidence for theoretical assumptions about expert memory. Memory encoding in the study phase was less effortful and more elaborate for experts than novices, as indicated by lower mean amplitudes for subsequently “recollected” cars and by indistinguishable differences due to memory for recollection and familiarity. The parietal old/new effect, a correlate of recollection measured during recognition testing, was only found for experts. The results show that refined perceptual and semantic processing, characteristics of perceptual expertise, facilitate both memory encoding and recognition memory.     

The expertise reversal effect: cognitive load and motivational explanations

The expertise reversal effect occurs when a learner's expertise moderates design principles such as the redundancy principle (i.e., redundant information should be excluded rather than included) derived from the cognitive load theory. Although this effect is supported by numerous experiments, indicating an overall large effect size, a variety of explanations have been proposed. The present experiment tested a cognitive load and a motivational explanation with 104 students, who reported a lack of experience in the presented instructional contents. They spent about 30 min with the instructional material to learn fundamental concepts about the gradient descent (a mathematical optimization algorithm), and with a retention and transfer test used as dependent measures. Each learner was randomly assigned to one cell of a 2 (either novices or experts introduced to through the instructional design presented previously) × 2 (either with or without additional text explaining the animations) between-subjects factorial design. The expertise reversal effect concerning the redundancy principle was replicated. Novices receiving additional text scored higher on retention and transfer than did novices without additional text, while this result was reversed for experts. Results suggest that this effect can be explained by the learner's cognitive load differences rather than overall motivation differences. Furthermore, a partial overlap was found between the motivational subdimension, "probability of success," and a cognitive load measure. On the practical side, instructional designers should consider the learner's level of expertise and their cognitive load when applying design principles. Further implications for adaptive learning environments are discussed.     

Table Tennis Experts Outperform Novices in a Demanding Cognitive-Motor Dual-Task Situation

Abstract

Theories on motor skill acquisition predict that earlier learning stages require more attention, which should lead to higher cognitive-motor dual-task interference in novices as compared to experts. Expert and novice table tennis players returned balls from a ball machine while concurrently performing an auditory 3-back task (working memory). The groups did not differ in 3-back performance in the single task. Cognitive dual-task performance reductions were more pronounced in novices. A similar pattern emerged for the number of missed balls in table tennis, except that experts outperformed novices already in the single task. Experts consistently showed costs of about 10%, while novices showed costs between 30% and 50%. The findings indicate that performances of novices suffer considerably in motor-cognitive dual-task situations.     

Object‐Label‐Order Effect When Learning From an Inconsistent Source

Learning in natural environments is often characterized by a degree of inconsistency from an input. These inconsistencies occur, for example, when learning from more than one source, or when the presence of environmental noise distorts incoming information; as a result, the task faced by the learner becomes ambiguous. In this study, we investigate how learners handle such situations. We focus on the setting where a learner receives and processes a sequence of utterances to master associations between objects and their labels, where the source is inconsistent by design: It uses both “correct” and “incorrect” object‐label pairings. We hypothesize that depending on the order of presentation, the result of the learning may be different. To this end, we consider two types of symbolic learning procedures: the Object‐Label (OL) and the Label‐Object (LO) process. In the OL process, the learner is first exposed to the object, and then the label. In the LO process, this order is reversed. We perform experiments with human subjects, and also construct a computational model that is based on a nonlinear stochastic reinforcement learning algorithm. It is observed experimentally that OL learners are generally better at processing inconsistent input compared to LO learners. We show that the patterns observed in the learning experiments can be reproduced in the simulations if the model includes (a) an ability to regularize the input (and also to do the opposite, i.e., undermatch) and (b) an ability to take account of implicit negative evidence (i.e., interactions among different objects/labels). The model suggests that while both types of learners utilize implicit negative evidence in a similar way, there is a difference in regularization patterns: OL learners regularize the input, whereas LO learners undermatch. As a result, OL learners are able to form a more consistent system of image‐utterance associations, despite the ambiguous learning task.     

USING COMPUTERS TO DELIVER TRAINING: WHICH EMPLOYEES LEARN AND WHY?

Compared to traditional instructor-led training, computer-delivered training typically offers learners more control over their instruction. In learner-controlled environments, learner choices regarding practice level, time on task, and attention are expected to be critical determinants of training effectiveness. To examine the effect of learner choices in computer-based training, a study was conducted with 78 employees taking an Intranet-delivered training course. Learner choices were assessed and predicted with goal orientation (mastery and performance) and learning self-efficacy, as well as age, education, and computer experience. Results indicate considerable variability among trainees in practice level and time on task, which both predict knowledge gain. Performance orientation interacted with learning self-efficacy to determine practice level, and mastery orientation had an unexpected negative effect. Implications for the use of computers to deliver training and for future research are discussed.