Delaying feedback promotes transfer of knowledge despite student preferences to receive feedback immediately

Educators and researchers who study human learning often assume that feedback is most effective when given immediately. However, a growing body of research has challenged this assumption by demonstrating that delaying feedback can facilitate learning. Advocates for immediate feedback have questioned the generalizability of this finding, suggesting that such effects only occur in highly controlled laboratory settings. We report a pair of experiments in which the timing of feedback was manipulated in an upper-level college engineering course. Students practiced applying their knowledge of complex engineering concepts on weekly homework assignments, and then received feedback either immediately after the assignment deadline or 1 week later. When students received delayed feedback, they performed better on subsequent course exams that contained new problems about the same concepts. Although delayed feedback produced superior transfer of knowledge, students reported that they benefited most from immediate feedback, revealing a metacognitive disconnect between actual and perceived effectiveness.     

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.     

Extinction in human learning and memory

In two experiments, participants were given extinction training in a human causal learning task. In both experiments, three critical experimental cues were paired with different outcomes in a first phase of training and were then extinguished in a second phase. Three control cues were given the same treatment in the first phase of training, but were not then presented in the second phase. Participants' ability to correctly identify the outcome with which each cue had been paired in the first phase was lower for extinguished than for control cues. Causal attributions to the extinguished cues were also lower than those to the control cues, a difference that correlated with outcome memory. These data are consistent with the idea that extinction in causal judgement is due, at least in part, to a failure to remember the cue–outcome relationship encoded in the first phase of training.     

What is learned about fragments in artificial grammar learning? A transitional probabilities approach

Learning local regularities in sequentially structured materials is typically assumed to be based on encoding of the frequencies of these regularities. We explore the view that transitional probabilities between elements of chunks, rather than frequencies of chunks, may be the primary factor in artificial grammar learning (AGL). The transitional probability model (TPM) that we propose is argued to provide an adaptive and parsimonious strategy for encoding local regularities in order to induce sequential structure from an input set of exemplars of the grammar. In a variant of the AGL procedure, in which participants estimated the frequencies of bigrams occurring in a set of exemplars they had been exposed to previously, participants were shown to be more sensitive to local transitional probability information than to mere pattern frequencies.     

On the timescale of stimulus-based action–effect learning

When performing an action, people pick up associations between their actions and the resulting consequences of that action, a phenomenon that has been termed response (R)–effect (E) learning. In the present study, we investigated incidental R–E learning in a forced-choice—that is, a stimulus (S)-based—acquisition mode. Specifically, the study examined at which timescale R–E learning evolves—that is, how many encounters are actually needed to form stable R–E associations. The learning of R–E associations was assessed in a subsequent test phase via effect-based response priming. Experiment 1 tested 4 different numbers of S–R–E repetitions for a 2–2–2 S–R–E mapping. Experiment 2 disentangled the contributions of S–E and R–E associations to the facilitating impact of effect-based response priming by means of a 4–2–4 S–R–E mapping. Experiment 3 investigated whether R–E associations can be picked up even when a given E cannot be unequivocally predicted based on the antecedent S in case of inconsistent S–R–E couplings. Together, the results of the present study clearly show that R–E learning occurs in a stimulus-based action mode and that it evolves very rapidly after only 12 S–R–E repetitions. Moreover, the present findings suggest that at least in this initial phase of learning, complete S–R–E consistency seems to be relevant for R–E learning.     

Sensory generalization and learning about novel colours by poultry chicks

Previous research has shown semantic influence from irrelevant peripheral cues on the spatial allocation of covert visual attention. The present study explored whether the task set determines the extent of such semantic influence. A spatial cueing paradigm with strict eye movement control was used, where cues were either first names (male or female) or emotionally charged words (positive or negative) followed by a face target. Participants discriminated either the gender (male or female) or the emotion (positive or negative) of the face. When there was high information overlap between cue and task set, responses were faster when the cue and target value were semantically congruent than when they were incongruent. It was concluded that the semantically related cues primed a task-influencing response independently of spatial attention allocation processes, showing that semantic influences from brief peripheral cues depend on the degree of information overlap between cue and task set.     

The influence of temporal factors on automatic priming and conscious expectancy in a simple reaction time task

In a previous study, we reported a dissociation between subjective expectancy and motor behaviour in a simple associative learning task (Perruchet, Cleeremans, & Destrebecqz, 2006). According to previous conditioning studies (Clark, Manns, & Squire, 2001), this dissociation is observed when the to-be-associated events coterminate and thus overlap in time (a training regimen called delay conditioning), but not when they are separated by a temporal delay (trace conditioning). In this latter situation indeed, there tends to be a direct relationship between subjective expectancy and behaviour. In this study, we further investigated this issue in a series of experiments where conscious and unconscious components of performance were pitted against each other. In Experiments 1–3, participants performed a simple reaction time task in which a preparatory signal (a tone) either overlapped with or terminated earlier than the imperative stimulus (a visual target presented in 50% of the trials). After each response, participants also had to state how much they expected the imperative stimulus to be displayed on the next trial. Results indicate that reaction times tend to decrease when the tone is consistently followed by the visual target across successive trials, whereas conscious expectancy for the target decreases at the same time. Importantly, we systematically found that the temporal relationship between the tone and the target failed to influence performance. In a fourth experiment, we examined whether these results extend to a two-choice reaction time task. To our surprise, we observed a direct relationship between subjective expectancies and reaction time in that situation. We nevertheless observed that the introduction of a delay between the tone and the target had, once again, no effect on performance.     

Licking and liking: The assessment of hedonic responses in rodents

Affective processes are a key determinant of behaviour: At its simplest, liked stimuli are approached while disliked stimuli are avoided. Although assessing hedonic responses in nonverbal animals can be difficult, one relatively tractable approach relies on detailed analyses of rodents' consummatory behaviour. Rodents typically produce rhythmic sets of licks that can be grouped into clusters on the basis of the intervals between licks. The mean number of licks in a cluster (cluster size) is directly related to the concentration of palatable and unpalatable solutions. These relationships suggest that lick cluster size might be a useful index of an animal's hedonic reaction to the solution being consumed. I begin by reviewing studies of conditioned flavour preference and aversion that support the idea that lick cluster size can provide useful information about rats' hedonic reactions. I then describe how this methodology has been used to address previously intractable issues in the investigation of contrast effects as well as revealing an analogue of effort justification effects that, in humans, are commonly explained in terms of cognitive dissonance reduction. Finally, I consider how lick analysis might provide information about hedonic responses in animal models of human psychiatric disorders. In all these cases, how an animal did something was particularly informative about why it was doing it.

     

The importance of internal facial features in learning new faces

For familiar faces, the internal features (eyes, nose, and mouth) are known to be differentially salient for recognition compared to external features such as hairstyle. Two experiments are reported that investigate how this internal feature advantage accrues as a face becomes familiar. In Experiment 1, we tested the contribution of internal and external features to the ability to generalize from a single studied photograph to different views of the same face. A recognition advantage for the internal features over the external features was found after a change of viewpoint, whereas there was no internal feature advantage when the same image was used at study and test. In Experiment 2, we removed the most salient external feature (hairstyle) from studied photographs and looked at how this affected generalization to a novel viewpoint. Removing the hair from images of the face assisted generalization to novel viewpoints, and this was especially the case when photographs showing more than one viewpoint were studied. The results suggest that the internal features play an important role in the generalization between different images of an individual's face by enabling the viewer to detect the common identity-diagnostic elements across non-identical instances of the face.