A generation effect can be found during naturalistic learning

Recently, Carroll and Nelson (1993) presented research suggesting that general-information questions might represent a boundary condition for the generation effect. The present research focused on whether the generation effect did, in fact, generalize to such questions. In Experiment 1, when subjects read or generated the answers to general-information questions, a generation advantage was demonstrated on a 47-h delayed cued-recall test. However, when the Carroll and Nelson procedure was mimicked by requiring subjects to make an initial attempt to answer the questions, the generation advantage was reduced such that it was no longer statistically significant. In Experiments 2 and 3, the findings of the first experiment generalized to a free-recall test. Thus, general-information questions do not represent a boundary condition for the generation effect.     

Goal specificity and learning with a hypermedia program

Problem solving research has found that a nonspecific goal (NSG) leads to better learning than a specific goal (SG). This effect can be understood in terms of dual-space search theories of problem solving. To apply the theory, we studied goal specificity effects with a hypermedia program in which participants had to learn about the outbreak of World War 1, either with the goal to find twenty dates (i.e., SG) or with the goal to explain the reasons for the war (i.e., NSG). As expected, compared to the SG-group, the NSG-group correctly answered more factual questions about the text during the task, spent more time on average per page, and more often looked for extra information. In a final questionnaire with factual and inferential questions, the NSG-group still performed better than the SG-group. The NSG-group may also show better transfer of what they had learnt to a new situation.     

Comparing the effects of generating questions,testing, and restudying on students' long-term recall in university learning

We compared the long-term effects of generating questions by learners with answering questions (i.e., testing) and restudying in the context of a university lecture. In contrast to previous studies, students were not prepared for the learning strategies, learning content was experimentally controlled, and effects on factual and transfer knowledge were examined. Students' overall recall performance after one week profited from generating questions and testing but not from restudying. When analyzing the effects on both knowledge types separately, traditional analyses revealed that only factual knowledge appeared to benefit from testing. However, additional Bayesian analyses suggested that generating questions and testing similarly benefit factual and transfer knowledge compared with restudying. The generation of questions thus seems to be another powerful learning strategy, yielding similar effects as testing on long-term retention of coherent learning content in educational contexts, and these effects emerge for factual and transfer knowledge.     

Influencing prior knowledge through a short reading impacts curiosity and learning

Curiosity predicts memory performance and it is influenced by prior knowledge. Reading a well-organized text can increase curiosity in a classroom setting, however it is not clear if reading a short text written in an encyclopedic style can increase curiosity and learning without explicit educational goals. We presented participants with a short text and examined if questions related to this reading could elicit higher curiosity ratings and better recall in a thematized version of the trivia task. In the first experiment, participants subjectively judged their prior knowledge of trivia questions. The curiosity of the participants was not influenced by the reading, but the memory effect of curiosity was amplified for the questions related to it. In the second experiment, we objectively verified whether the participants knew the answers. The curiosity ratings were higher for the questions related to the reading, but only the curiosity ratings influenced recall performance. These results show that prior knowledge induced by reading can have an effect on curiosity and learning, but it depends on how this knowledge is assessed by the learner.     

Young children's reports of when learning occurred

This study investigated young children's reports of when learning occurred. A total of 96 4-, 5-, and 6-year-olds were recruited from suburban preschools and elementary schools. The children learned an animal fact and a body movement. A week later, children learned another animal fact and another body movement and then answered questions about when the different learning events occurred. Responses of children who responded correctly to control questions about time supported the hypothesis that temporal distance questions would elicit more correct responses than would temporal location questions. Partial support was also found for the hypothesis that behavior learning would generate more correct reports than would fact learning. Implications for characterizations of children's developing understanding of knowledge and for applications of those characterizations in education and eyewitness testimony are discussed.     

Visual statistical learning in infancy: evidence for a domain general learning mechanism

The rapidity with which infants come to understand language and events in their surroundings has prompted speculation concerning innate knowledge structures that guide language acquisition and object knowledge. Recently, however, evidence has emerged that by 8 months, infants can extract statistical patterns in auditory input that are based on transitional probabilities defining the sequencing of the input's components (Science 274 (1996) 1926). This finding suggests powerful learning mechanisms that are functional in infancy, and raises questions about the domain generality of such mechanisms. We habituated 2-, 5-, and 8-month-old infants to sequences of discrete visual stimuli whose ordering followed a statistically predictable pattern. The infants subsequently viewed the familiar pattern alternating with a novel sequence of identical stimulus components, and exhibited significantly greater interest in the novel sequence at all ages. These results provide support for the likelihood of domain general statistical learning in infancy, and imply that mechanisms designed to detect structure inherent in the environment may play an important role in cognitive development.     

Abstraction of contingency in concept learning

It is generally agreed that concept learning involves the abstraction of some general representation or schema. Just what is abstracted, however, and how it is used in the classification of sets of stimuli in the natural world or in the laboratory, remain outstanding questions. In this paper a hypothesis involving contingency abstraction is described as a possible solution to these questions. An experiment which manipulated measured contingency in a concept-learning task, and which offered empirical support for the hypothesis, is reported. The advantages of a contingency-abstraction theory of concept learning are briefly discussed.     

Multidimensional visual statistical learning

Recent studies of visual statistical learning (VSL) have demonstrated that statistical regularities in sequences of visual stimuli can be automatically extracted, even without intent or awareness. Despite much work on this topic, however, several fundamental questions remain about the nature of VSL. In particular, previous experiments have not explored the underlying units over which VSL operates. In a sequence of colored shapes, for example, does VSL operate over each feature dimension independently, or over multidimensional objects in which color and shape are bound together? The studies reported here demonstrate that VSL can be both object-based and feature-based, in systematic ways based on how different feature dimensions covary. For example, when each shape covaried perfectly with a particular color, VSL was object-based: Observers expressed robust VSL for colored-shape sub-sequences at test but failed when the test items consisted of monochromatic shapes or color patches. When shape and color pairs were partially decoupled during learning, however, VSL operated over features: Observers expressed robust VSL when the feature dimensions were tested separately. These results suggest that VSL is object-based, but that sensitivity to feature correlations in multidimensional sequences (possibly another form of VSL) may in turn help define what counts as an object.     

Accuracy of confidence judgments: Stability and generality in the learning process and predictive validity for learning outcome

One aspect of metacognition is the monitoring of memory or comprehension measured with retrospective confidence judgments after test taking. The research questions of the present study were whether different measures for the accuracy of such confidence judgments are stable over learning time, whether they generalize over two different tests, and whether they predict the learning outcome. In order to answer these questions, a study was conducted in which university students (N = 113) learned about the basic concepts of operant conditioning for 30 min. Knowledge tests with confidence judgments presented after each item were obtained before learning, after 10 min, and at the end of the learning session. Bias and absolute bias were calculated as absolute measures of accuracy, and gamma, Pearson’s r, andd _a were calculated as relative measures of accuracy. The results showed that the absolute measures were stable, but that the relative measures were not. Furthermore, absolute bias, gamma, and Pearson’s r obtained 10 min after the beginning of the learning process predicted the learning outcome. The results are discussed with regard to research on different measures of accuracy for confidence judgments.     

分类学习与混合学习下的注意促进效应比较

注意促进效应(ABE)是指目标探测性质的干扰会促进与之同时进行的背景刺激的记忆编码, 产生比分心拒绝下更优的记忆成绩。Spataro等人(2017)对此提出项目特异性解释, 认为目标探测主要促进的是对项目的特异性信息而非关系性信息加工。本研究采用混合学习和分类学习的方式形成对背景刺激的特异性信息和关系性信息加工。结果表明, 与混合学习相比, 分类学习下的ABE有所减少(实验2), 甚至消失(实验1), 表明当编码过程中对背景刺激的加工主要依赖于关系性信息时, 目标探测所产生的促进效应会被削弱, 从而为ABE的项目特异性解释提供更为直接的证据。     

Enhancing learning and retarding forgetting: Choices and consequences

Our research on learning enhancement has been focusing on the consequences for learning and forgetting of some of the more obvious and concrete choices that arise in instruction, including questions such as these: How does spacing of practice affect retention of information over significant retention intervals (up to 1 year)? Do spacing effects generalize beyond recall of verbal materials? Is feedback needed to promote learning, and must it be immediate? Although retrieval practice has been found to enhance learning in comparison with additional study, does it actually reduce the rate of forgetting? Can retrieval practice effects be extended to nonverbal materials? We suggest that as we begin to find answers to these questions, it should become possible for cognitive psychology to offer nonobvious advice that can be applied in a variety of instructional contexts to facilitate learning and reduce forgetting.     

Argument structure and the child's contribution to language learning

One of the oldest questions in cognitive science asks whether children are able to learn language (or anything) because they are equipped with a very powerful general-purpose learning mechanism or because they are equipped with a domain-specific constrained language acquisition device. Recent advances in statistical approaches to language learning seem to boost the plausibility of general-purpose learning. However, in this article we propose that in the domain of verb learning, children rely more on their internally generated preconceptions about linguistic structure than on robust cues in the input, suggesting that at least in this aspect of language learning, domain-specific grammatical knowledge guides linguistic development.     

Time as a variable in learning on the World-Wide Web

Research in education, psychology, and neuroscience motivates a hypothesis that learning takes time. Support for the hypothesis was found in four replications of an upper level undergraduate course in which the material and activities for 50% of the topics were delivered over the World-Wide Web. Computer records were correlated with three types of test questions: multiple-choice, short-answer, and open-ended essay questions. Positive and significant correlations with time were observed for 33% of the correlations involving multiple-choice questions, 13% of those involving short-answer questions, and 60% of those involving open-ended essay questions. An estimate of the common underlying correlation, ρ, equal to .35 for the four replications was significant. The data also revealed generally low overall study times and a maladaptive pattern of “cramming” before tests instead of distributing practice. In the Discussion section, we argue that computer study times can be used as a predictor of subsequent test performance, which is a measure of student learning.     

Population states and eigenstructure: A simplifying view of Markov learning models

The structure of a Markov learning model can often be appreciably simplified by analyzing the eigenstructure (eigenvectors and eigenvalues) of its transition operator, and by focusing on population states representing distributions of individuals rather than on subject states representing individuals. This view often produces considerably simpler “reduced” models, which are equivalent to the originals in that they make identical predictions. We apply these reduced representations to determine the number of estimable parameters a model supports and to answer questions of model identifiability: when two models are mathematically equivalent and when they are likely to predict observations in practice distinguishable on the basis of limited data.     

Information sources for noun learning

Why are some words easier to learn than others? And what enables the eventual learning of the more difficult words? These questions were addressed for nouns using a paradigm in which adults were exposed to naturalistic maternal input that was manipulated to simulate access to several different information sources, both alone and in combination: observation of the extralinguistic contexts in which the target word was used, the words that co‐occurred with the target word, and the target word's syntactic context. Words that were not accurately identified from observation alone were both abstract (e.g., music) and concrete (e.g., tail). Whether a noun could be learned from observation depended on whether it labeled a basic‐level object category (BLOC). However, the difference between BLOC labels and non‐BLOC labels was eliminated when observation was supplemented with linguistic context. Thus, although BLOC labels can be learned from observation alone, non‐BLOC labels require richer linguistic context. These findings support a model of vocabulary growth in which an important role is played by changes in the information to which learners have access.     

Automatic identification of storytelling responses to past-behavior interview questions via machine learning

Structured interviews often feature past-behavior questions, where applicants are asked to tell a story about past work experience. Applicants often experience difficulties producing such stories. Automatic analyses of applicant behavior in responding to past-behavior questions may constitute a basis for delivering feedback and thus helping them improve their performance. We used machine learning algorithms to predict storytelling in transcribed speech of participants responding to past-behavior questions in a simulated selection interview. Responses were coded as to whether they featured a story or not. For each story, utterances were also manually coded as to whether they described the situation, the task/action performed, or results obtained. The algorithms predicted whether a response features a story or not (best accuracy: 78%), as well as the count of situation, task/action, and response utterances. These findings contribute to better automatic identification of verbal responses to past-behavior questions and may support automatic provision of feedback to applicants about their interview performance.     

Markovian processes with identifiable states: General considerations and application to all-or-none learning

It often happens that a theory specifies some variables or states which cannot be identified completely in an experiment. When this happens, there are important questions as to whether the experiment is relevant to certain assumptions of the theory. Some of these questions are taken up in the present article, where a method is developed for describing the implications of a theory for an experiment. The method consists of constructing a second theory with all of its states identifiable in the outcome-space of the experiment. The method can be applied (i.e., an equivalent identifiable theory exists) whenever a theory specifies a probability function on the sample-space of possible outcomes of the experiment. An interesting relationship between lumpability of states and recurrent events plays an important role in the development of the identifiable theory. An identifiable theory of an experiment can be used to investigate relationships among different theories of the experiment. As an example, an identifiable theory of all-or-none learning is developed, and it is shown that a large class of all-or-none theories are equivalent for experiments in which a task is learned to a strict criterion.This research was supported in part by the National Science Foundation under grant GB-319.     

认知灵活性对概率类别学习的影响

本研究采用“数字-字母转换任务”区分高低认知灵活性者, 构建概率配对模式相同但形式不同的两个概率类别学习任务, 借助ERP技术探讨认知灵活性对概率类别学习任务的作用特点与机制。结果发现, 本研究的两个任务中, 高认知灵活性组的规则习得水平均优于低认知灵活性组, 认知灵活性能促进概率类别的学习。同时, 对不同学习阶段的ERPs分析结果显示, 高认知灵活性者在概率类别学习中的优势源于反馈加工过程。     

Counselors and learning styles

Nearly everyone agrees that the counselor should be aware of individual differences. Many also agree that an important function of the counselor is to consult with teachers regarding individual differences in student learning performance. Although there has been much research about the relationship of learning performance and individual differences in learning style, there has been little written about how to diagnose the styles. The author presents a theoretical understanding of learning styles and suggests assessment questions that a counselor can use in observing students and consulting with teachers about different learning styles.     

The input to verb learning in Mandarin Chinese: a role for syntactic bootstrapping

The authors investigated the role of syntax in verb learning in Mandarin Chinese, which allows pervasive ellipsis of noun arguments. Two questions were investigated using the Beijing corpus on CHILDES: (a) Does the input to young children manifest syntactic-semantic correspondences as needed for acquiring verb meanings? (b) Are verbs presented in multiple frames? Over 6,000 child-directed utterances were parsed. Analyses revealed that transitive verbs, motion verbs, and internal/communication verbs were distinguished syntactically; moreover, the 60 target verbs were used in multiple sentence frames. These findings support a role for syntactic bootstrapping in Mandarin verb learning.