Active and passive contributions to spatial learning

It seems intuitively obvious that active exploration of a new environment will lead to better spatial learning than will passive exposure. However, the literature on this issue is decidedly mixed—in part, because the concept itself is not well defined. We identify five potential components of active spatial learning and review the evidence regarding their role in the acquisition of landmark, route, and survey knowledge. We find that (1) idiothetic information in walking contributes to metric survey knowledge, (2) there is little evidence as yet that decision making during exploration contributes to route or survey knowledge, (3) attention to place–action associations and relevant spatial relations contributes to route and survey knowledge, although landmarks and boundaries appear to be learned without effort, (4) route and survey information are differentially encoded in subunits of working memory, and (5) there is preliminary evidence that mental manipulation of such properties facilitates spatial learning. Idiothetic information appears to be necessary to reveal the influence of attention and, possibly, decision making in survey learning, which may explain the mixed results in desktop virtual reality. Thus, there is indeed an active advantage in spatial learning, which manifests itself in the task-dependent acquisition of route and survey knowledge.     

Concept learning set‐size functions for Clark's nutcrackers

Same/Different abstract‐concept learning by Clark's nutcrackers (Nucifraga columbiana) was tested with novel stimuli following learning of training set expansion (8, 16, 32, 64, 128, 256, 512, and 1024 picture items). The resulting set‐size function was compared to those from rhesus monkeys (Macaca mulatta), capuchin monkeys (Cebus apella), and pigeons (Columba livia). Nutcrackers showed partial concept learning following initial eight‐item set learning, unlike the other species (Magnotti, Katz, Wright, & Kelly, 2015). The mean function for the nutcrackers' novel‐stimulus transfer increased linearly as a function of the logarithm of training set size, which intersected its baseline function at the 128‐item set size. Thus, nutcrackers on average achieved full concept learning (i.e., transfer statistically equivalent to baseline performance) somewhere between set sizes of 64 to 128 items, similar to full concept learning by monkeys. Pigeons required a somewhat larger training set (256 items) for full concept learning, but results from other experiments (initial training and transfer with 32‐ and 64‐item set sizes) suggested carryover effects with smaller set sizes may have artificially prolonged the pigeon's full concept learning. We find it remarkable that these diverse species with very different neural architectures can fully learn this same/different abstract concept, and (at least under some conditions) do so with roughly similar sets sizes (64‐128 items) and numbers of training exemplars, despite initial concept learning advantages (nutcrackers), learning disadvantages (pigeons), or increasing baselines (monkeys).     

Generalization hypothesis of abstract-concept learning: learning strategies and related issues in Macaca mulatta, Cebus apella, and Columba livia

The generalization hypothesis of abstract-concept learning was tested with a meta-analysis of rhesus monkeys (Macaca mulatta), capuchin monkeys (Cebus apella), and pigeons (Columba livia) learning a same/different (S/D) task with expanding training sets. The generalization hypothesis states that as the number of training items increases, generalization from the training pairs will increase and could explain the subjects' accurate novel-stimulus transfer. By contrast, concept learning is learning the relationship between each pair of items; with more training items subjects learn more exemplars of the rule and transfer better. Having to learn the stimulus pairs (the generalization hypothesis) would require more training as the set size increases, whereas learning the concept might require less training because subjects would be learning an abstract rule. The results strongly support concept or rule learning despite severely relaxing the generalization-hypothesis parameters. Thus, generalization was not a factor in the transfer from these experiments, adding to the evidence that these subjects were learning the S/D abstract concept.     

LOGIQUE ET PSYCHOLOGIE DE L'APPRENTISSAGE DES CONCEPTS

In the field of concept learning, there are very few studies in which logícal conditions are used as independent variables. A logical analysis of concept learning phenomena is presented: it is an application of some elementary theoremas of logics and set theory. To learn a concept means to identify relevant attributes of the phenomena observed; the theoretical analysis of the situation shows that concept learning can be seen as a problem, the solution of which depends on a precise algorithm. Numerous experiments have been carried out on the basis of such an analysis, some of which are described here. Results provide evidence that time and quality of performance depend on the length and logical structure of the set of successive stimuli presented to subjccts. So logical features of the situation influence concept learning; but, there are various other factors which control subject's performance : for instance, number of redundant examples, and subject's memory and perceptual-motor activity. Current interpretations of concept learning, i.e., stochastic models of learning and logical and mathematical interpretation are discussed and the need of an approach which would combine both to fit the complexity of concept learning phenomena is emphasized.     

Implicit Learning and Concept Learning

In Experiments 1 and 2, subjects were exposed to letter strings that followed a pattern—the second letter was always the same. This exposure was disguised as a test of immediate memory. Following this training, subjects could discriminate new letter strings following the pattern from letter strings not following the pattern more often than would be expected by chance, which is the traditional evidence for concept learning. Discrimination was also better than would be predicted from subjects' explicit report of the pattern, demonstrating the co-occurrence of concept learning and implicit learning. In Experiment 3, rules were learned explicitly. Discrimination was worse than would be predicted from subjects' explicit report, validating the implicit learning paradigm. In Experiment 4, deviations from a prototypical pattern were presented during training. In the test of discrimination, prototypes were as familiar as old deviations and more familiar than new deviations, even when considering only implicit knowledge. Experiment 5 found implicit knowledge of a familiar concept. These results are consistent with the hypothesis that the distinguishing features of a concept can be learned implicitly, and that one type of implicit learning is concept learning.     

Concept learning and the intradimensional spread of the relevant values of the instances I. Effects of intraclass variability

Abstract.— The effect on concept learning of the intra-class variability of the relevant values of the instances was investigated. 20 subjects took part, and two ranges of the concerned intraclass variability, one about twice the other, were used. Depending upon the learning strategy used by the subjects the smaller intraclass variability was shown to have a limited facilitating effect on concept learning. Some facilitation thus occurred when strategies involved a rather unselective attention to the appearance characteristics of the instances but not when they involved selective focusing on these characteristics, or on elements of relevant knowledge established pre-experimentally. The results were discussed in relation both to relevant S-R-conceptions and information processing models of concept learning. It was concluded that automatic generalization as described in S-R-theories might have to be integrated into the information processing models for some categories of learning.     

Human temporal behavior and discrimination-reversal learning

The present study demonstrates that a relationship exists between individual differences in temporal behavior and individual differences in human discrimination-reversal learning behavior. When the results of performance on a time-estimation task employing the method of reproduction are compared with the results of acquisition performance on a complex form of discrimination-reversal learning task is can be demonstrated that underestimation of time is associated with faster learning and overestimation of time is associated with slower learning of the discrimination task. The experimental design was based on the historical fact that the Sechenov-Pavlov and Spence-Hull formulations assigned a primary role in learning to excitation and inhibition as intervening variables between the input of stimulation and output of response. The present study also used the tasks of time estimation and discrimination learning as dependent variables; and the concept that underestimation of time is associated with and underlying predominance of excitatory processes as a hypothetical construct. The conclusion was reached that one of the many theoretical processes which may be used to explain discrimination learning is the concept that acquisition of the correct response may be viewed as a function of the individual rates at which excitatory processes come to be conditioned to a predominance over existing inhibitory processes.     

社会科学概念形成过程中外显与内隐学习的比较研究

以真实的社会科学概念为假设检验模型,研究中学生的社会科学概念形成过程及其中的外显和内隐学习。结果表明中学生社会科学概念形成是一个渐进的过程,内隐学习和外显学习的趋势和效率无显著差异。本研究未发现明显的高原期和突变期。     

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.     

Empathy as dialectic imagination

Abstract

The importance of relationship processes for humanistic and psychodynamic therapists makes empathy a critical concept in psychotherapy. Experimental work suggests that learning occurs only when the subject is actively and cooperatively engaged in the learning process. Similarly, psychotherapy is only effective when the client is willingly active in the therapeutic process. A crucial aspect of the therapist's activity is empathic imagination, defined here as the use of “dialectic” thinking capacities‐the recognition of conceptual alternatives in a given situation. These processes are at the heart of a humanistic view of agency. The therapist's use of this capacity allows imaginative projection into aspects of the client's experience, helping the client to feel understood in the relationship and emboldened to consider new possibilities in life.     

知识点认知规律的实验研究

知识点是人的认知单位,人学习知识,必须以知识点为单位、逐个知识点地学习。本实验以概念学习为例,研究了人一次学习一个知识点与同时学习两个知识点时的成绩差异。研究结果表明,1. 在概念中的信息组块数不超过短时记忆容量的前提下,一次学习一个概念,构成概念的信息组块数对概念掌握影响不显著。2.在同样条件下,一次学习一个知识点的成绩好于同时学习两个知识点的成绩,从而验证了知识点认知规律。     

The influence of prior knowledge in intentional versus incidental concept learning

Previous research has demonstrated that background knowledge has a clear influence on concept learning. This influence, however, has been observed with a narrow range of intentional learning tasks. In the present experiments, the role of background knowledge was examined as a function of a variety of incidental learning tasks as well as with intentional learning tasks. The influence of prior knowledge was investigated by comparing the encoding of conceptually related co-occurrences with the encoding of conceptually unrelated co-occurrences. A clear influence of prior knowledge was observed with incidental encoding, and conceptual relatedness was found to have at least as powerful an influence with incidental as with intentional learning tasks. The results indicate that many types of knowledge-based influences will not vary as a function of encoding strategy. The pervasiveness and strength of the influence of background knowledge on concept learning are discussed.     

自然科学概念形成过程中外显与内隐学习的比较

本研究选取真实的自然科学概念来对概念形成过程及其中的外显与内隐学习进行实验性探索．证明了自然科学概念形成过程中内隐学习的存在;阐释了概念形成过程中内隐学习的效率可与外显学习不相上下;揭示了真实的自然科学概念形成过程是由渐进期——高原期——突变期三个阶段构成的．不论外显学习还是内隐学习,接近真理的路径十分相似,并且没有显著的性别差异;此外还发现自然科学概念的内隐学习可以有效地用语言启动。本研究结果对心理学和自然科学教学均有理论价值与实践意义。     

Productive Failure in Learning Math

When learning a new math concept, should learners be first taught the concept and its associated procedures and then solve problems, or solve problems first even if it leads to failure and then be taught the concept and the procedures? Two randomized‐controlled studies found that both methods lead to high levels of procedural knowledge. However, students who engaged in problem solving before being taught demonstrated significantly greater conceptual understanding and ability to transfer to novel problems than those who were taught first. The second study further showed that when given an opportunity to learn from the failed problem‐solving attempts of their peers, students outperformed those who were taught first, but not those who engaged in problem solving first. Process findings showed that the number of student‐generated solutions significantly predicted learning outcomes. These results challenge the conventional practice of direct instruction to teach new math concepts and procedures, and propose the possibility of learning from one's own failed problem‐solving attempts or those of others before receiving instruction as alternatives for better math learning.     

A New Argument for Nonconceptual Content

This paper provides a novel argument against conceptualism, the claim that the content of human experience, including perceptual experience, is entirely conceptual. Conceptualism entails that the content of experience is limited by the concepts that we possess and deploy. I present an argument to show that such a view is exceedingly costly—if the nature of our experience is entirely conceptual, then we cannot account for concept learning: all perceptual concepts must be innate. The version of nativism that results is incompatible with naturalistic accounts of concept learning. This cost can be avoided, and concept learning accounted for if nonconceptual content of experience is admitted.     

Categorization behaviour in adults,adolescents, and attention-deficit/hyperactivity disorder adolescents: A comparative investigation

Although significant progress has been made with respect to our understanding of categorization and concept learning behaviour in adults, much less is known about how this key capacity plays out with respect to more restrictive populations. This is unfortunate because much may be revealed about the nature of concept learning by examining the limits exhibited by special populations. With this tenet in mind, in what follows, we investigated key aspects of concept learning in terms of the unexplored comparative performance of three populations—adults, adolescents, and adolescents with attention-deficit/hyperactivity disorder (ADHD). To do so, we employed a novel parainformative experimental task involving categorical stimuli with four objects defined over three dimensions. The learning difficulty ordering for these types of three-dimensional stimuli has proven robust and has been replicated by several researchers. Indeed, in our experiment, we observed the same concept learning ordering in adults and adolescents, but not in ADHD adolescents: For example, the latter group showed greatly impaired categorization performance on stimuli characterized by an “exclusive-or” rule. However, categorization performance on such type of stimuli indicated good reliability in discriminating between adolescents with and without ADHD (receiver-operating characteristic, ROC?=?.82). We accurately predicted and accounted for these results using generalized invariance structure theory (GIST; Vigo, 2013. The GIST of concepts. Cognition, 129, 138–162), which posits that organisms detect invariance patterns in stimuli that are necessary precursors to concept formation.     

类比比较样例对物理综合题学习迁移效果的影响

研究通过三个实验,比较了普通样例和类比比较样例在学习物理综合题中的效果,并在此基础上,进一步分析两种不同类型的类比比较样例对物理综合题学习的迁移效果以及“提示”这一样例设计方法的促进作用。结果发现:(1)通过类比比较样例学习物理综合题的效果优于普通样例;(2)相比于单综概念类比比较样例,综合概念类比比较样例能更好地提高物理综合题学习的近迁移成绩,但未提高其远迁移成绩;(3)提示能明显促进类比比较样例在物理综合题学习中的作用,但不同提示类型的影响无显著差异。该结果表明:类比比较样例是学习物理综合题的有效样例形式,而其中综合概念类比比较样例效果最佳;开放式提示和支架式提示均能较好地促进类比比较样例的学习。     

思维风格对中美大学生课堂学习行为的影响研究

对长期以来具有争议的中美学生存在课堂学习行为差异的现象,研究者推测中美学生由于具有思维风格的差异,造成他们对课堂内容的处理方式的区别,从而影响他们不同的课堂行为反应。研究对来自于中国学生、中国留美学生和美国学生三组样本的数据进行分析。结果表明在控制了文化组别和学习动机因素后,思维风格仍能显著预测课堂学习行为,并能部分地解释中美学生之间存在的课堂学习行为差异。