Feedback-related brain activity predicts learning from feedback in multiple-choice testing

Different event-related potentials (ERPs) have been shown to correlate with learning from feedback in decision-making tasks and with learning in explicit memory tasks. In the present study, we investigated which ERPs predict learning from corrective feedback in a multiple-choice test, which combines elements from both paradigms. Participants worked through sets of multiple-choice items of a Swahili–German vocabulary task. Whereas the initial presentation of an item required the participants to guess the answer, corrective feedback could be used to learn the correct response. Initial analyses revealed that corrective feedback elicited components related to reinforcement learning (FRN), as well as to explicit memory processing (P300) and attention (early frontal positivity). However, only the P300 and early frontal positivity were positively correlated with successful learning from corrective feedback, whereas the FRN was even larger when learning failed. These results suggest that learning from corrective feedback crucially relies on explicit memory processing and attentional orienting to corrective feedback, rather than on reinforcement learning.     

Learning to use functional rules in inference tasks

Abstract.— Earlier studies have established that subjects perform less well in inference tasks with nonlinear rules than in tasks with linear rules, and that one source of the lower level of performance in nonlinear tasks is that the subjects cannot utilize a nonlinear rule as well as they utilize a linear rule. The three experiments in this paper investigate whether utilization of a nonlinear rule can be improved by training. The results show that there is some improvement with training, but the improvement could not be attributed to feedback, or to the learning of specific cue and criterion values. Cognitive feedback did not produce higher performance than ordinary outcome feedback.     

Choking under pressure: multiple routes to skill failure

Poor performance in pressure-filled situations, or "choking under pressure," has largely been explained by two different classes of theories. Distraction theories propose that choking occurs because attention needed to perform the task at hand is coopted by task-irrelevant thoughts and worries. Explicit monitoring theories claim essentially the opposite-that pressure prompts individuals to attend closely to skill processes in a manner that disrupts execution. Although both mechanisms have been shown to occur in certain contexts, it is unclear when distraction and/or explicit monitoring will ultimately impact performance. The authors propose that aspects of the pressure situation itself can lead to distraction and/or explicit monitoring, differentially harming skills that rely more or less on working memory and attentional control. In Experiments 1-2, it is shown that pressure that induces distraction (involving performance-contingent outcomes) hurts rule-based category learning heavily dependent on attentional control. In contrast, pressure that induces explicit monitoring of performance (monitoring by others) hurts information-integration category learning thought to run best without heavy demands on working memory and attentional control. In Experiment 3, the authors leverage knowledge about how specific types of pressure impact performance to design interventions to eliminate choking. Finally, in Experiment 4, the selective effects of monitoring-pressure are replicated in a different procedural-based task: the serial reaction time task. Skill failure (and success) depends in part on how the performance environment influences attention and the extent to which skill execution depends on explicit attentional control.     

How a Reflection Intervention Improves the Effect of Learning Goals on Performance Outcomes in a Complex Decision-Making Task

We aim to advance the learning goal literature by examining the contingent effect of a reflection intervention on the relationship between learning goals and performance in a complex decision-making task. Data were obtained from a laboratory experiment with a microworld simulation as the experimental task. Participants were randomly allocated to one of the four conditions in a 2 × 2 (reflection intervention: yes vs. no; learning goals: easier vs. more challenging) between-subjects design (N = 140). Our findings suggest that both learning goals and reflection interventions are effective learning mechanisms in complex tasks. Reflection interventions strengthen the positive performance effect of learning goals. Specifically, the combination of a reflection intervention and more challenging learning goals leads to the highest performance. In the current dynamic business environment, effectively solving complex decision-making tasks is an enduring challenge. By integrating the reflection literature with goal-setting theory, we provide evidence of the joint effect of a reflection intervention and learning goals on subsequent task performance. Our findings help scholars and practitioners to design effective learning interventions to solve complex decision-making tasks. Our study is the first to investigate the joint effect of a reflection intervention (particularly, coached feedback reflection) and learning goals on task performance. Additionally, we are among the first to examine the combined use of learning goals and performance goals in a complex decision-making task.     

Feedback specificity,information processing,and transfer of training

This study examines the effects of feedback specificity on transfer of training and the mechanisms through which feedback can enhance or inhibit transfer. We used concurrent verbal protocol methodology to elicit and operationalize the explicit information processing activities used by 48 trainees performing the Furniture Factory computer simulation. We hypothesized and found support for a moderated mediation model. Increasing feedback specificity influenced the exposure trainees had to different task conditions and negatively affected their levels of explicit information processing. In turn, explicit information processes and levels of exposure to different task conditions interacted to impact transfer of training. Those who received less specific feedback relied more heavily on explicit information processing and had more exposure to the challenging aspects of the task than those who received more specific feedback, which differentially affected what they learned about the task. We discuss how feedback specificity and exposure to different task conditions may prime different learning processes.     

The Relation Between Implicit and Explicit Learning: Evidence for Parallel Development

Much research has focused on the separability of implicit and explicit learning, but less has focused on how they might interact. A recent model suggests that in the motor-skill domain, explicit knowledge can guide movement, and the implicit system learns in parallel, based on these movements. Functional imaging studies do not support that contention, however; they indicate that learning is exclusively implicit or explicit. In the experiment reported here, participants learned a motor sequencing task either implicitly or explicitly. At transfer, most of the stimuli were random, but the sequence occasionally appeared; thus, it was not obvious that explicit knowledge could be applied to the task. Nevertheless, participants with explicit training showed sequence knowledge equivalent to those with implicit training, implying that implicit knowledge had been acquired in parallel with explicit knowledge. This result has implications for the development of automaticity and of motor-skill learning.     

Cognitive Task Analysis for Implicit Knowledge About Visual Representations With Similarity Learning Methods

Visual representations are prevalent in STEM instruction. To benefit from visuals, students need representational competencies that enable them to see meaningful information. Most research has focused on explicit conceptual representational competencies, but implicit perceptual competencies might also allow students to efficiently see meaningful information in visuals. Most common methods to assess students’ representational competencies rely on verbal explanations or assume explicit attention. However, because perceptual competencies are implicit and not necessarily verbally accessible, these methods are ill‐equipped to assess them. We address these shortcomings with a method that draws on similarity learning, a machine learning technique that detects visual features that account for participants’ responses to triplet comparisons of visuals. In Experiment 1, 614 chemistry students judged the similarity of Lewis structures and in Experiment 2, 489 students judged the similarity of ball‐and‐stick models. Our results showed that our method can detect visual features that drive students’ perception and suggested that students’ conceptual knowledge about molecules informed perceptual competencies through top‐down processes. Furthermore, Experiment 2 tested whether we can improve the efficiency of the method with active sampling. Results showed that random sampling yielded higher accuracy than active sampling for small sample sizes. Together, the experiments provide the first method to assess students’ perceptual competencies implicitly, without requiring verbalization or assuming explicit visual attention. These findings have implications for the design of instructional interventions that help students acquire perceptual representational competencies.     

Positivity effect in healthy aging in observational but not active feedback-learning

The present study investigated the impact of healthy aging on the bias to learn from positive or negative performance feedback in observational and active feedback learning. In active learning, a previous study had already shown a negative learning bias in healthy seniors older than 75 years, while no bias was found for younger seniors. However, healthy aging is accompanied by a 'positivity effect', a tendency to primarily attend to stimuli with positive valence. Based on recent findings of dissociable neural mechanisms in active and observational feedback learning, the positivity effect was hypothesized to influence older participants' observational feedback learning in particular. In two separate experiments, groups of young (mean age 27) and older participants (mean age 60 years) completed an observational or active learning task designed to differentially assess positive and negative learning. Older but not younger observational learners showed a significant bias to learn better from positive than negative feedback. In accordance with previous findings, no bias was found for active learning. This pattern of results is discussed in terms of differences in the neural underpinnings of active and observational learning from performance feedback.     

Empathy and feedback processing in active and observational learning

The feedback-related negativity (FRN) and the P300 have been related to the processing of one’s own and other individuals’ feedback during both active and observational learning. The aim of the present study was to elucidate the role of trait-empathic responding with regard to the modulation of the neural correlates of observational learning in particular. Thirty-four healthy participants completed an active and an observational learning task. On both tasks, the participants’ aim was to maximize their monetary gain by choosing from two stimuli the one that showed the higher probability of reward. Participants gained insight into the stimulus–reward contingencies according to monetary feedback presented after they had made an active choice or by observing the choices of a virtual partner. Participants showed a general improvement in learning performance on both learning tasks. P200, FRN, and P300 amplitudes were larger during active, as compared with observational, learning. Furthermore, nonreward elicited a significantly more negative FRN than did reward in the active learning task, while only a trend was observed for observational learning. Distinct subcomponents of trait cognitive empathy were related to poorer performance and smaller P300 amplitudes for observational learning only. Taken together, both the learning performance and event-related potentials during observational learning are affected by different aspects of trait cognitive empathy, and certain types of observational learning may actually be disrupted by a higher tendency to understand and adopt other people’s perspectives.     

Positivity effect in healthy aging in observational but not active feedback-learning

ABSTRACT

The present study investigated the impact of healthy aging on the bias to learn from positive or negative performance feedback in observational and active feedback learning. In active learning, a previous study had already shown a negative learning bias in healthy seniors older than 75 years, while no bias was found for younger seniors. However, healthy aging is accompanied by a ‘positivity effect’, a tendency to primarily attend to stimuli with positive valence. Based on recent findings of dissociable neural mechanisms in active and observational feedback learning, the positivity effect was hypothesized to influence older participants' observational feedback learning in particular. In two separate experiments, groups of young (mean age 27) and older participants (mean age 60 years) completed an observational or active learning task designed to differentially assess positive and negative learning. Older but not younger observational learners showed a significant bias to learn better from positive than negative feedback. In accordance with previous findings, no bias was found for active learning. This pattern of results is discussed in terms of differences in the neural underpinnings of active and observational learning from performance feedback.     

Investigating the Role of Instructional Focus in Incidental Pattern Learning

The authors used a novel dual-component training procedure that combined a serial reaction time task and an artificial grammar learning task to investigate the role of instructional focus in incidental pattern learning. In Experiment 1, participants either memorized letter strings as a primary task and reacted to the stimuli locations as a secondary task or vice versa. In Experiment 2, participants were given the same dual-component stimuli but performed only one of the two training tasks. Instructional focus affected the amount of learning and the likelihood of acquiring explicit knowledge of the underlying pattern. However, the effect of instructional focus varied for the different types of stimuli. These results are discussed in terms of the role of focused attention in incidental learning.     

Goal Setting Effects on Implicit and Explicit Learning of Complex Tasks

The robust finding that setting difficult, specific goals leads to increased performance on simple tasks has not generalized to complex task performance. The results of the present research suggest that the moderating effect of task complexity on the goal–performance relationship is due to confounding goal difficulty with explicit and implicit learning. Two multiple cue probability learning studies were performed keeping the learning mode constant while varying goal difficulty. Study 1 examined goal setting effects on performance when task processing was implicit. Consistent with previous research on complex tasks, setting difficult, specific goals did not result in performance gains. Study 2 demonstrated that when complex task processing is explicit, goal setting results in gradual but steady improvements in complex task performance. Protocol analysis of strategies used by participants indicate that goal setting resulted in increased performance through the development of better strategies.     

Observational fear conditioning in the acquisition and extinction of attentional bias for threat: an experimental evaluation

Anxious persons show automatic and strategic attentional biases for threatening information. Yet, the mechanisms and processes that underlie such biases remain unclear. The central aim of the present study was to elucidate the relation between observational threat learning and the acquisition and extinction of biased threat processing by integrating emotional Stroop color naming tasks within an observational differential fear conditioning procedure. Forty-three healthy female participants underwent several consecutive observational fear conditioning phases. During acquisition, participants watched a confederate displaying mock panic attacks (UCS) paired with a verbal stimulus (CS+), but not with a second nonreinforced verbal stimulus (CS-). As expected, participants showed greater magnitude electrodermal and verbal-evaluative (e.g., distress, fear) conditioned responses to the CS+ over the CS- word. Participants also demonstrated slower color-naming latencies to CS+ compared to the CS- word following acquisition and showed attenuation of this preferential processing bias for threat following extinction. Findings are discussed broadly in the context of the interplay between fear learning and processing biases for threat as observed in persons suffering from anxiety disorders.     

Task and distribution sampling affect auditory category learning

There is substantial evidence that two distinct learning systems are engaged in category learning. One is principally engaged when learning requires selective attention to a single dimension (rule-based), and the other is drawn online by categories requiring integration across two or more dimensions (information-integration). This distinction has largely been drawn from studies of visual categories learned via overt category decisions and explicit feedback. Recent research has extended this model to auditory categories, the nature of which introduces new questions for research. With the present experiment, we addressed the influences of incidental versus overt training and category distribution sampling on learning information-integration and rule-based auditory categories. The results demonstrate that the training task influences category learning, with overt feedback generally outperforming incidental feedback. Additionally, distribution sampling (probabilistic or deterministic) and category type (information-integration or rule-based) both affect how well participants are able to learn. Specifically, rule-based categories are learned equivalently, regardless of distribution sampling, whereas information-integration categories are learned better with deterministic than with probabilistic sampling. The interactions of distribution sampling, category type, and kind of feedback impacted category-learning performance, but these interactions have not yet been integrated into existing category-learning models. These results suggest new dimensions for understanding category learning, inspired by the real-world properties of auditory categories.     

Automated measure of conditioned orienting behavior in rats

The behavioral and neural mechanisms of orienting behavior have interested experimental psychologists for the last several decades. For example, in the framework of associative learning, examining the brain substrates of orienting behavior has yielded significant insight into the neural basis of attentional function and learning. The present study describes a procedure by which the orienting response to a visual stimulus (rearing on the hind legs) can be monitored automatically, and it validates the procedure by comparing data generated by the automated procedure with data generated by the typical observational procedure. The automated procedure provides an inexpensive means of obtaining immediate, online assessment of rearing behavior during a conditioning session, reduces the possibility of experimenter bias, and significantly reduces the time required to evaluate observational data.     

Teaching Spelling of Social Studies Content Vocabulary Prior to Using the Vocabulary in Inclusive Learning Environments: An Examination of Constant Time Delay, Observational Learning, and Instructive Feedback

This study evaluated the effectiveness of using a 5 s constant time delay (CTD) procedure to teach the written spelling of social studies vocabulary words taken from the general education social studies content to students with mild disabilities. Subjects were 3 elementary students with mild disabilities. Instruction was delivered in a small group setting. Vocabulary words were different for each student, which allowed for observational learning by the other students in the group. Assessments of observational learning were conducted when each student attempted to spell their group-mate's words. Related instructive feedback (meaningful sentences containing the social studies vocabulary words) was presented in the consequent event of instructional trials. A multiple probe design across word sets was implemented to evaluate the effectiveness of the procedure. Results indicated that (a) CTD was reliably implemented and all students acquired the spelling of their own sets of 12 social studies vocabulary words with 100% accuracy and maintained this accuracy over time, (b) all students generalized their target spellings across settings and instructors, and (c) some observational and instructive feedback learning occurred for all students. Additionally, long-term maintenance of observational spellings decreased over time, and minor fluctuations in long-term maintenance of instructive feedback occurred.     

第二语言学习中的反馈

在第二语言学习中,反馈指针对学习者的言语行为给予学习者的评价性信息。该文阐释了反馈的概念、类型以及反馈在第二语言学习中的角色,并从反馈的时机与对象、对学习者注意力的引导、学习者认知资源的限制、情感支持等方面分析了有效反馈的特征,最后对反馈研究对我国第二语言学习与教学的意义及以后的研究方向进行了探讨     

积极情绪反馈对注意捕获影响的实验研究

目的：研究采用“学习-测试”范式,通过3个实验探讨积极社会情绪反馈对注意捕获的影响。方法：实验1,在学习阶段做出反应后,分别给予积极情绪和中性情绪反馈,探讨积极情绪和中性情绪捕获注意的情况;实验2,学习阶段做出反应后,没有任何情绪反馈;实验3,改变学习阶段积极情绪和中性情绪反馈图片出现的频率,探讨图片出现频率对注意捕获的影响。结果：（1）与中性情绪相比,积极情绪捕获了较多注意（实验1）;（2）无情绪反馈时,经过多次练习的刺激作为干扰刺激也捕获到了注意（实验2）;（3）积极情绪影响刺激注意优先性的过程还受到积极情绪图片出现频率的影响（实验3）。结论：积极情绪捕获注意的机制中,也有自上而下目标驱动的机制在起作用;情绪图片出现的频率也会影响社社会情绪对注意的捕获。