Differential allocation of study time: incomplete compensation for the difficulty of the materials

The results of many experiments have shown that although people distribute their study time depending on the perceived difficulty of the materials, they do not succeed in compensating for this difficulty (e.g., Mazzoni & Cornoldi, 1993). The purpose of this paper was to explore possible ways to induce compensation. The objective difficulty of the items was varied by manipulating their concreteness. In Experiment 1, we explored whether compensation could be increased through practice. In Experiment 2, predictive memory judgements were obtained to determine to what extent participants were sensitive to the characteristics of the material that made it difficult. Finally, in Experiment 3, participants were given instructions designed to achieve complete compensation. Results showed that although participants' judgements of learning and their allocation of time were sensitive to the objective difficulty of the materials, this knowledge was not spontaneously used to compensate. Thus, even with practice participants recalled more easy items than difficult ones. Only instructions that induced greater awareness of the nature of the material were able to produce complete compensation.     

Habitual reading biases in the allocation of study time

Item order can bias learners’ study decisions and undermine the use of more effective allocation strategies, such as allocating study time to items in one’s region of proximal learning. In two experiments, we evaluated whether the influence of item order on study decisions reflects habitual responding based on a reading bias. We manipulated the order in which relatively easy, moderately difficult, and difficult items were presented from left to right on a computer screen and examined selection preference as a function of item order and item difficulty. Experiment 1a was conducted with native Arabic readers and in Arabic, and Experiment 1b was conducted with native English readers and in English. Students from both cultures prioritized items for study in the reading order of their native language: Arabic readers selected items for study in a right-to-left fashion, whereas English readers largely selected items from left to right. In Experiment 2, native English readers completed the same task as participants in Experiment 1b, but for some participants, lines of text were rotated upside down to encourage them to read from right to left. Participants who read upside-down text were more likely to first select items on the right side of an array than were participants who studied right-side-up text. These results indicate that reading habits can bias learners’ study decisions and can undermine agenda-based regulation.     

基于价值的议程对学习时间分配影响的眼动研究

通过对比不同梯度下, 分值激发的议程与习惯性反应作用一致、不一致条件中, 优先选择项目和学习时间的差异, 考察基于价值的议程对学习时间分配的影响及其动态过程。结果发现：(1)等分值条件下, 汉语为母语被试存在从左到右的习惯性反应。(2)分值梯度对基于议程的学习时间分配的有效性具有调节作用。小分值梯度(1分、5分)激发的议程能够克服习惯性反应对学习时间分配的影响, 但不能使被试建立起优先学习高价值项目的议程; 大分值梯度(1分、10分)能够克服习惯性反应对学习时间分配影响, 且能够使被试建立起优先学习高价值项目的议程。(3)基于议程调节的学习时间分配在时程和阶段上具有动态性和情境特异性。     

Masking T1 difficulty: processing time and the attenional blink

When observers are presented with 2 targets in rapid succession, identification of the 1st is highly accurate, whereas identification of the 2nd is impaired at brief intertarget intervals (i.e., 200-500 ms). This 2nd-target deficit is known as the attentional blink (AB). According to bottleneck models, the AB arises because attending to the 1st target delays allocation of attention to the 2nd target. Thus, these models predict that increasing 1st-target processing time will increase the magnitude of the AB. Previous tests of this prediction have yielded mixed results. The present work suggests that one factor contributing to this uncertainty is masking of the 1st target: When this mask is omitted, processing time and AB magnitude are reliably related. These findings clarify the role of 1st-target masking in the AB and support the validity of the bottleneck account.     

Age differences in the allocation of study time account for age differences in memory performance

How aging affects the utilization of monitoring in the allocation of study time was investigated by having adults learn paired associates during multiple study-test trials. During each trial, a subject paced the presentation of individual items and later judged the likelihood of recalling each item on the upcoming test; after all items had been studied and judged, recall occurred. For both age groups in Study 1, (1) people’s judgments were highly accurate at predicting recall and (2) intraindividual correlations between judgments (or recall) on one trial, and study times on the next trial were negative, which suggests that subjects utilized monitoring to allocate study time. However, the magnitude of these correlations was less for older than for younger adults. Study 2 revealed that these differences were not due to age differences in forgetting. Results from both studies suggest that older adults do not utilize on-line monitoring to allocate study to the same degree as younger adults do, and that these differences in allocation contribute to age deficits in recall.     

Resurgence of time allocation

The resurgence of time allocation with pigeons was studied in three experiments. In Phase 1 of each experiment, response‐independent food occurred with different probabilities in the presence of two different keylights. Each peck on the key changed its color and the food probability in effect. In Phase 2, the food probabilities associated with each keylight were reversed and, in Phase 3, food was discontinued in the presence of either keylight. The food probabilities were .25 and .75, in Experiment 1, and 0.0 and 1.0 in Experiment 2. More time was allocated to the keylight correlated with more probable food in Phases 1 and 2, and in Phase 3 resurgence of time allocation occurred for two of three pigeons in Experiment 1, and for each of four pigeons in Experiment 2. Because time had to be allocated to either of the two alternatives in Experiments 1 and 2, however, it was difficult to characterize the time allocation patterns in Phase 3 as resurgence when changeover responding approached zero. In Experiment 3 this issue was addressed by providing a third alternative uncorrelated with food such that in each phase, after 30 s in the presence of either keylight correlated with food, the third alternative always was reinstated, requiring a response to access either of the two keylights correlated with food. In this experiment, the food probabilities were similar to those in Experiment 1. Resurgence of time allocation occurred for each of three pigeons under this procedure. The results of these experiments suggest that patterns of time allocation resurge similarly to discrete responses and to spatial and temporal patterns of responding.     

Visual prediction: psychophysics and neurophysiology of compensation for time delays

A necessary consequence of the nature of neural transmission systems is that as change in the physical state of a time-varying event takes place, delays produce error between the instantaneous registered state and the external state. Another source of delay is the transmission of internal motor commands to muscles and the inertia of the musculoskeletal system. How does the central nervous system compensate for these pervasive delays? Although it has been argued that delay compensation occurs late in the motor planning stages, even the earliest visual processes, such as phototransduction, contribute significantly to delays. I argue that compensation is not an exclusive property of the motor system, but rather, is a pervasive feature of the central nervous system (CNS) organization. Although the motor planning system may contain a highly flexible compensation mechanism, accounting not just for delays but also variability in delays (e.g., those resulting from variations in luminance contrast, internal body temperature, muscle fatigue, etc.), visual mechanisms also contribute to compensation. Previous suggestions of this notion of "visual prediction" led to a lively debate producing re-examination of previous arguments, new analyses, and review of the experiments presented here. Understanding visual prediction will inform our theories of sensory processes and visual perception, and will impact our notion of visual awareness.     

Discretionary task interleaving: heuristics for time allocation in cognitive foraging

When participants allocated time across 2 tasks (in which they generated as many words as possible from a fixed set of letters), they made frequent switches. This allowed them to allocate more time to the more productive task (i.e., the set of letters from which more words could be generated) even though times between the last word and the switch decision ("giving-up times") were higher in the less productive task. These findings were reliable across 2 experiments using Scrabble tasks and 1 experiment using word-search puzzles. Switch decisions appeared relatively unaffected by the ease of the competing task or by explicit information about tasks' potential gain. The authors propose that switch decisions reflected a dual orientation to the experimental tasks. First, there was a sensitivity to continuous rate of return--an information-foraging orientation that produced a tendency to switch in keeping with R. F. Green's (1984) rule and a tendency to stay longer in more rewarding tasks. Second, there was a tendency to switch tasks after subgoal completion. A model combining these tendencies predicted all the reliable effects in the experimental data.     

Determinants of everyday time allocation

Two experiments examined the role of intentions in people's allocation of time to everyday activities (e.g., talcing a shower, running for exercise). In Experiment 1 32 subjects rated their intentions of, preferences for, and perceived control over performance of 10 activities at different frequencies during the following month. In Experiment 2 another 36 subjects performed the same ratings for the following week, then returned after that week to report how frequently they had been engaged in the activities. The results of both experiments showed that either the ratings of preference, of perceived control, or both combined linearly, predicted the intentions. However, intentions did not predict performance particularly well. This probably reflected (1) that some activities are performed routinely without intentions being formed; (2) that intentions to perform some other, more impulsively timed activities are formed late when appropriate actual situations are encountered; and (3) that for still other activities intentions are formed but not maintained.     

Behavioral contrast of time allocation

Pigeons' standing on a platform produced food reinforcement according to two-component multiple schedules in which either both components consisted of the same variable-interval schedule or one of these was replaced with a component without reinforcement (extinction). The components of the multiple schedule alternated every 30 sec, and were signalled by changes in the color of diffuse overhead illumination. Changing the schedule of one of the components to extinction increased the percentage of time spent on the platform during the unchanged component (behavioral contrast). This result casts doubt on accounts that attribute behavioral contrast to variations in the rate of noninstrumental elicited responses.     

The effects of incentives and instructions on children's allocation of study time

So far, research on children's allocation of study time has shown that, even though most young children can distinguish between easy and hard learning materials, they do not use this knowledge for further regulation of study time. To explore possible underlying mechanisms, we examined whether task characteristics can be created that facilitate children's appropriate use of study time. We investigated the effects of incentives and instructions (accuracy vs. speed emphasized) in 69 seven-year-old and 79 nine-year-old children's self-paced study times for easy (highly associated) and hard (unrelated) item pairs. Overall, the results confirm the findings obtained in previous studies, with older children differentiating more between easy and difficult learning materials in their study time. Regarding the effects of instructions, the study revealed that only 9-year-olds studied significantly longer when accuracy was emphasized. In contrast to our expectations, this increase in study time was not accompanied by an increase in subsequent recall. No differences in the study times were found as a function of presence/absence of incentives. The results are discussed both in terms of developmental progression taking place and in terms of the general theory of self-paced study time.     

Effect of individual thinking styles on item selection during study time allocation

The influence of individual differences on learners' study time allocation has been emphasised in recent studies; however, little is known about the role of individual thinking styles (analytical versus intuitive). In the present study, we explored the influence of individual thinking styles on learners' application of agenda‐based and habitual processes when selecting the first item during a study‐time allocation task. A 3‐item cognitive reflection test (CRT) was used to determine individuals' degree of cognitive reliance on intuitive versus analytical cognitive processing. Significant correlations between CRT scores and the choices of first item selection were observed in both Experiment 1a (study time was 5 seconds per triplet) and Experiment 1b (study time was 20 seconds per triplet). Furthermore, analytical decision makers constructed a value‐based agenda (prioritised high‐reward items), whereas intuitive decision makers relied more upon habitual responding (selected items from the leftmost of the array). The findings of Experiment 1a were replicated in Experiment 2 notwithstanding ruling out the possible effects from individual intelligence and working memory capacity. Overall, the individual thinking style plays an important role on learners' study time allocation and the predictive ability of CRT is reliable in learners' item selection strategy.     

Levels of aggregation: Relative time allocation in concurrent-schedule performance

The proportion of time allocated to one component of a concurrent variable-interval variable-interval schedule was computed for groups of interchangeover times (aggregates) within several intact time series. Variability in obtained proportions decreased as the number of interchangeover times within each aggregate increased; however, modal proportions failed to correspond to overall relative time allocation computed over the course of an entire experimental session, even at the largest aggregate size. The aggregated time series showed periodicities at small aggregate sizes and general trends in local preference at larger aggregate sizes. It is suggested that overall relative time allocation represents a molar extreme in the aggregation of behavior that may not accurately reflect central tendency in the allocation of time to available alternatives within the context of ongoing behavior.     

Sensitivity of time allocation to concurrent-schedule reinforcement

Four pigeons were trained on concurrent variable-interval schedules programmed on a center response key, with access to those schedules controlled by responses on left or right side keys. Two procedures were used. In one, the pigeon was given limited access, in that each side-key response produced 3-s access to a center-key schedule, and in the other procedure, access was unlimited. Data were analyzed using the generalized matching law. Comparison of sensitivities to reinforcement of interchangeover time for both procedures showed them to be of similar magnitude. Response sensitivities were also similar in magnitude for both procedures. From the limited-access procedure a second time measure that was available, switched-in time, was relatively uncontaminated by time spent emitting behavior other than key pecking. Sensitivities to reinforcement for the switched-in time measure were always smaller than interchangeover-time sensitivities for either procedure, and were approximately equal to response sensitivities for the limited-access procedure. Two other access times (5 and 7.5 s) were studied to validate the choice of 3 s as the main access time. These results indicate that when time spent emitting other behavior is excluded from interchangeover time, time and response sensitivities will be approximately equal.     

Age differences in reading time allocation for propositionally dense sentences

Younger and older adults read and immediately recalled a set of sentences which varied in propositional density. Reading was self-paced and sentence reading time was measured. Older adults spent differentially more time reading the propositionally dense sentences, and although the overall recall performance of older adults was slightly poorer than that of younger adults, age differences were constant across propositional density. Consistent with the Slowing Hypothesis, an analysis of effective reading time (time spent per proposition recalled) demonstrated that older adults were spending proportionately more time to effectively encode the sentences. In addition, a relative memorability analysis (Stine & Wingfield, 1988, 1990a) suggested that the increase in propositional density did not particularly disrupt the organization of the text representation for older adults in this self-paced reading situation. This contrasts with earlier findings in a listening situation. These data provide support for the applicability of the Slowing Hypothesis to language processing, but also suggest that older adults are able to effectively allocate reading time to propositionally dense sentences in order to facilitate organizational processing.     

Examining task difficulty and the time course of inhibition of return: detecting perceptually degraded targets.

The ability to efficiently direct visual attention to salient features in the environment is a critical function of the visual system. The finding that people are slower to detect a target that appears at a previously cued location is thought to reflect a mechanism known as inhibition of return (IOR). Past research has shown that difficult target discriminations result in a greater amount of time needed to inhibit previously attended locations (i.e., a delayed onset of inhibition), suggesting that task difficulty plays a critical role in the allocation of attention. In this study, IOR was measured at a wide range of SOAs while participants detected either a perceptually degraded target or a standard, high luminance target. When responses were made to a perceptually degraded target, the time course of IOR was delayed by approximately 250 ms (relative to the control group), suggesting that the difficulty in detecting targets also influences the allocation of attention. The results are consistent with the notion that IOR is not simply a reflexive subcortical mechanism but rather involves top-down attentional control settings.     

The dynamics of learning and allocation of study time to a region of proximal learning

In contrast to the dominant discrepancy reduction model, which favors the most difficult items, people, given free choice, devoted most time to medium-difficulty items and studied the easiest items first. When study time was experimentally manipulated, best performance resulted when most time was given to the medium-difficulty items. Empirically determined information uptake functions revealed steep initial learning for easy items with little subsequent increase. For medium-difficulty items, initial gains were smaller but more sustained, suggesting that the strategy people had used, when given free choice, was largely appropriate. On the basis of the information uptake functions, a negative spacing effect was predicted and observed in the final experiment. Overall, the results favored the region of proximal learning framework.     

Resource allocation during spoken discourse processing: Effects of age and passage difficulty as revealed by self-paced listening

The allocation of processing resources during spoken discourse comprehension was studied in a manner analogous to self-paced reading using the auditory moving window technique (Ferreira, Henderson, Anes, Weeks, & McFarlane, 1996). Young and older participants listened to spoken passages in a self-paced segment-by-segment fashion. In Experiment 1, we examined the influence of speech rate and passage complexity on discourse encoding and recall performance. In Experiment 2, we examined the influence of speech rate and presentation mode (self-paced vs. full-passage presentation) on recall performance. Results suggest that diminished memory performance in the older adult group relative to the young adult group is attributable to age-related differences in how resources were allocated during the initial encoding of the spoken discourse.