大学生合作学习的问题解决过程及其对问题解决水平的影响

以认知风格为依据,将合作学习小组分为场依存同质组、场独立同质组以及异质组。通过小组对开放问题以及逻辑问题的解决,考察不同认知风格个体、不同类型小组的问题解决过程。同时考察问题解决过程对问题解决水平的影响。结果表明：（1）个体在解决不同类型问题时的过程体验不同。（2）问题解决过程在个体的认知风格和逻辑问题解决水平之间起调节作用。（3）不同类型小组的问题解决过程不同。（4）合作是影响小组合作学习效果的重要因素之一。     

合作学习小组的认知风格对其问题解决的影响

本研究以认知风格为依据,将合作学习小组分为场依存同质组、场独立同质组及异质组,通过小组对开放问题以及逻辑问题的解决,考察不同认知风格个体、不同类型小组的问题解决水平。结果表明:(1)个体认知风格的作用依任务性质不同而不同。(2)异质组中存在的个体之间的差异会成为有效沟通合作的障碍,进而影响异质组的问题解决水平,影响程度受到问题本身对沟通合作要求程度的影响。(3)异质分组能更好解决开放性问题。     

Thoughtful Friends: Executive Function Relates to Social Problem Solving and Friendship Quality in Middle Childhood

Abstract

The present study examined links between best friendship quality, social problem solving in response to a transgression and conscious control of behavior (i.e., executive function or EF). Eighty-one 7- to 10-year-olds answered questions about their best friendship quality and responses to friendship transgressions (i.e., interpretations, goals, and strategies they would endorse). They also completed a battery of EF tasks measuring working memory, inhibition, and shifting. Results revealed few relations between social problem solving and best friendship quality. Social problem solving related to EF abilities, with inhibition relating to fewer revenge goals and cognitive flexibility relating to more neutral interpretations. Better working memory related to worse best friendship quality. Finally, verbal IQ was a strong predictor of several positive social problem-solving interpretations, goals, and strategies. Results suggest cognitive abilities in EF and language may be important to consider during middle childhood in this period of advancing social problem solving and friendships.     

On the assessment of procedural knowledge: From problem spaces to knowledge spaces

By generalizing and completing the work initiated by Stefanutti and Albert (2003, Journal of Universal Computer Science, 9, 1455), this article provides the mathematical foundations of a theoretical approach whose primary goal is to construct a bridge between problem solving, as initially conceived by Newell and Simon (1972, Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.), and knowledge assessment (Doignon and Falmagne, 1985, International Journal of Man-Machine Studies, 23, 175; Doignon and Falmagne, 1999, Knowledge spaces. Berlin, Germany: Springer-Verlag.; Falmagne et al., 2013, Knowledge spaces: Applications in education. New York, NY: Springer-Verlag; Falmagne and Doignon, 2011, Learning spaces: Interdisciplinary applied mathematics. Berlin, Germany: Springer-Verlag.). It is shown that the collection of all possible knowledge states for a given problem space is a learning space. An algorithm for deriving a learning space from a problem space is illustrated. As an example, the algorithm is used to derive the learning space of a neuropsychological test whose problem space is well known: the Tower of London (TOL; Shallice, 1982, Philosophical Transactions of the Royal Society of London B: Biological Sciences, 298, 199). The derived learning space could then be used for adaptively assessing individual planning skills with the TOL.     

Metacognition and low achievement in mathematics: The effect of training in the use of metacognitive skills to solve mathematical word problems

The central question underlying this study was whether metacognition training could enhance the two metacognition components—knowledge and skills—and the mathematical problem-solving capacities of normal children in grade 3. We also investigated whether metacognitive training had a differential effect according to the children's mathematics level. A total of 48 participants took part in this study, divided into an experimental and a control group, each subdivided into a lower and a normal achievers group. The training programme took an interactive approach in accordance with Schraw's (1998 Schraw, G. 1998. Promoting general metacognitive awareness. Instructional Science, 26: 113–125. [Crossref], [Web of Science ®] , [Google Scholar]) recommendation and was carried out over five training sessions. Results indicated that children in the training group had significantly higher post-test metacognitive knowledge, metacognitive skills, and mathematical problem-solving scores. In addition, metacognitive training was particularly beneficial to the low achievers. Thus metacognitive training enabled the low achievers to make progress and solve the same number of problems on the post-test as the normal achievers solved on the pre-test.     

Example-based learning: New theoretical perspectives and use-inspired advances to a contemporary instructional approach

Decades of research has shown that example-based learning is an effective instructional strategy for learning new skills. The field of learning from examples is seeing a shift in focus towards more innovative and use-inspired research, in part because the use of examples for informal and formal learning purposes has mushroomed. This special issue comprises a set of eight papers in which students learned a procedural skill from worked examples or modeling examples. Each study characterizes a recent development towards more innovative example-based learning research. These developments are: (a) the integration of social-cognitive and cognitive example research, (b) the integration of example-based learning and analogical reasoning research, (c) the extension of traditional Cognitive Load Theory effects, (d) a greater focus on learning from (productive) errors, and (e) more research on individual differences. This special issue concludes with insightful commentary articles written by Prof. Dr. Katharina Scheiter and Prof. Dr. Richard Mayer.     

Learning to pause: Fidelity of and biases in the developmental acquisition of gaps in the communicative signals of a songbird

The temporal organization of sounds used in social contexts can provide information about signal function and evoke varying responses in listeners (receivers). For example, music is a universal and learned human behavior that is characterized by different rhythms and tempos that can evoke disparate responses in listeners. Similarly, birdsong is a social behavior in songbirds that is learned during critical periods in development and used to evoke physiological and behavioral responses in receivers. Recent investigations have begun to reveal the breadth of universal patterns in birdsong and their similarities to common patterns in speech and music, but relatively little is known about the degree to which biological predispositions and developmental experiences interact to shape the temporal patterning of birdsong. Here, we investigated how biological predispositions modulate the acquisition and production of an important temporal feature of birdsong, namely the duration of silent pauses (“gaps”) between vocal elements (“syllables”). Through analyses of semi-naturally raised and experimentally tutored zebra finches, we observed that juvenile zebra finches imitate the durations of the silent gaps in their tutor's song. Further, when juveniles were experimentally tutored with stimuli containing a wide range of gap durations, we observed biases in the prevalence and stereotypy of gap durations. Together, these studies demonstrate how biological predispositions and developmental experiences differently affect distinct temporal features of birdsong and highlight similarities in developmental plasticity across birdsong, speech, and music.

Research Highlights

• The temporal organization of learned acoustic patterns can be similar across human cultures and across species, suggesting biological predispositions in acquisition.
• We studied how biological predispositions and developmental experiences affect an important temporal feature of birdsong, namely the duration of silent intervals between vocal elements (“gaps”).
• Semi-naturally and experimentally tutored zebra finches imitated the durations of gaps in their tutor's song and displayed some biases in the learning and production of gap durations and in gap variability.
• These findings in the zebra finch provide parallels with the acquisition of temporal features of speech and music in humans.

     

The assessment of knowledge and learning in competence spaces: The gain–loss model for dependent skills

The gain–loss model (GaLoM) is a formal model for assessing knowledge and learning. In its original formulation, the GaLoM assumes independence among the skills. Such an assumption is not reasonable in several domains, in which some preliminary knowledge is the foundation for other knowledge. This paper presents an extension of the GaLoM to the case in which the skills are not independent, and the dependence relation among them is described by a well‐graded competence space. The probability of mastering skill s at the pretest is conditional on the presence of all skills on which s depends. The probabilities of gaining or losing skill s when moving from pretest to posttest are conditional on the mastery of s at the pretest, and on the presence at the posttest of all skills on which s depends. Two formulations of the model are presented, in which the learning path is allowed to change from pretest to posttest or not. A simulation study shows that models based on the true competence space obtain a better fit than models based on false competence spaces, and are also characterized by a higher assessment accuracy. An empirical application shows that models based on pedagogically sound assumptions about the dependencies among the skills obtain a better fit than models assuming independence among the skills.     

人工语法学习中习得知识的分离:基于信号检测论和结构知识的视角

习得知识的意识觉知问题一直以来是内隐学习领域的研究热点和难点。以加工分离程序来分解击中率和虚报率、以结构知识中意识和无意识测量为视角,采用2（测验方式：SDTT,SKT）×2（学习程度：30试次,60试次）混合设计,试图去分离人工语法学习中习得的意识知识和无意识知识。结果发现：（1）学习程度影响到习得的无意识知识,但还未影响到习得的意识知识;（2）在分离人工语法学习的习得知识上,SDTT的敏感性高于SKT;（3）SKT夸大了元认知中的意识成分。     

Modeling parallelization and flexibility improvements in skill acquisition: from dual tasks to complex dynamic skills

Emerging parallel processing and increased flexibility during the acquisition of cognitive skills form a combination that is hard to reconcile with rule-based models that often produce brittle behavior. Rule-based models can exhibit these properties by adhering to 2 principles: that the model gradually learns task-specific rules from instructions and experience, and that bottom-up processing is used whenever possible. In a model of learning perfect time-sharing in dual tasks (Schumacher et al., 2001), speedup learning and bottom-up activation of instructions can explain parallel behavior. In a model of a complex dynamic task (Carnegie Mellon University Aegis Simulation Program [CMU-ASP], Anderson et al., 2004), parallel behavior is explained by the transition from serially organized instructions to rules that are activated by both top-down (goal-driven) and bottom-up (perceptually driven) factors. Parallelism lets the model opportunistically reorder instructions, leading to the gradual emergence of new task strategies.     

Learning from experience in case conference: A Bionian approach to teaching and consulting

In case conferences as well as didactic seminars, the power of the group can bring psychoanalytic education to life. However, primitive anxieties activated by group dynamics may also interfere with teaching and learning. The authors offer the example of a stalemated private practice case conference that had unconsciously organized against learning as the members began to read Bion's work. The case conference leader, an analyst, presented her case conference, which was mired in basic assumption dependency dynamics, to our peer consultation group. Drawing upon Bion's early contributions on groups, as well as his later ideas about thinking and mental growth, the peer group facilitated the case conference's return to work-group functioning and learning from experience. Activated in the peer group, commensal container↔contained processes gradually spread throughout the entire relational system of peer group, case-conference leader, case-conference members, and patients. This example underscores the importance of promoting within our institutes a culture in which faculty view themselves as part of an evolving intersubjective matrix that works to foster the containing capacities of candidates, patients, and faculty alike.