关于初中学业不良者学业求助特征及相关研究

本研究通过问卷与学业测验方法对165名初中生进行了学业不良者学业求助特征及相关研究,其研究结果表明:初中学业不良者在学业求助对象选择上倾向于向同学求助;在求助态度衡量上,他们对求助益处的考虑较少;更能知觉到来自同学的自尊威胁;在求助方式的选择上更倾向于执行性求助。成绩-回避目标、低下的自尊与自我效能感等是学业不良者学业求助特征的影响因素。     

中学生学习倦怠结构研究

依据倦怠理论文献、访谈和问卷调查,提出我国中学生学习倦怠的概念结构。通过对400名中学生学习倦怠问卷的探索性因素分析和367名中学生学习倦怠问卷的验证性因素分析,结果表明中学生学习倦怠是由情绪耗竭、学习的低效能感、师生疏离和生理耗竭四个因素构成。     

关于学习环模式的研究综述

学习环模式是一种有效的科学学习与教学模式。西方科学教育工作者对此做了大量研究,取得了丰硕成果。本文综述了学习环模式的理论基础、基本结构与发展。这一模式对于我国当前中小学科学课程设计和探究性学习的开展有一定的借鉴意义。     

多面体的一面:第二语言学习的社会化过程

第二语言学习过程是社会互动情景中的言语活动,"热"的社会化过程是第二语言学习过程的有机组成部分;形成第二语言情景下的文化心理参照系认知能力和文化适应能力是第二语言的言语能力重要内容;第二语言学习过程中的言语变异现象部分源于学习者的社会心理结构特征。     

合作数学问题解决与心理模型建构关系研究

合作学习研究者很早就开始关注合作互动中解释的作用。Chi关于自我解释的研究表明解释是一种非常有效果的学习现象,能够起到修补和建立学习者的心理模型的作用。本研究以28名高一学生为被试,采取了两种程序的合作学习任务,研究中虽然没有发现两种程序在问题解决结果上的显著差异,但是却表现出在心理模型建构方面互动效果上的差异,或表现为同等效果下的互动次数有显著性差异。     

竞争情境、认知风格对学生运算性程序知识学习迁移的影响

研究竞争情境对不同性别、认知风格学生运算性程序知识学习迁移的影响。结果发现：1对于不同类型的迁移题,竞争对不同认知风格学生的学习迁移有不同的影响。其表现为：对于同型题,场独立倾向学生在竞争情境下的迁移成绩要显著高于非竞争情境,场依存倾向学生在竞争情境下的学习成绩明显低于非竞争情境。对于近迁移和远迁移题,场独立和场依存倾向学生迁移成绩差异不显著;2对于不同类型的迁移题,竞争对不同性别学生的学习迁移具有不同影响。其表现为：对于远迁移题,在非竞争情境下,男生和女生的迁移成绩差异不显著;在竞争情境下,男生和女生的迁移成绩差异显著,男生的成绩要明显优于女生;对于同型题和近迁移题,男生和女生的迁移成绩差异不显著。     

小学生外显的说明性文本段落主旨推断学习研究

研究72位不同语文能力的小学五年级男女学生,通过外显的计算机学习软件,运用6种推断策略：主题、细节、综合、主旨方程式、自我提问和文本结构,从没有主题句的说明性文本推断段落主旨的成效。研究发现学生最常用的策略是细节和综合,不同语文能力和性别的学生的学习成效都十分显著。     

儒家社群主义略论

As a social and political thought, communitarian ideas appeared in the Pre-Qin Confucianism. By the Song Dynasty, it had become a systematic theory, namely, the learning of the “four books.” As a social and political theory, not only can Confucian communitarianism contribute to Western liberalism, but it can also be an intellectual resource for the development of democracy in East Asian countries and regions. The future of the Confucian communitarianism lies in its critique of itself and its discourse with Western liberalism, by which Confucianism evolves from communitarianism into liberalism. __________ Translated from Wenshizhe 文史哲 (Literature, History and Philosophy), 2006, (4): 31–37     

Persistent structural priming from language comprehension to language production

To examine the relationship between syntactic processes in language comprehension and language production, we compared structural persistence from sentence primes that speakers heard to persistence from primes that speakers produced. [Bock, J. K., & Griffin, Z. M. (2000). The persistence of structural priming: transient activation or implicit learning? Journal of Experimental Psychology: General, 129, 177-192.] showed that the production of target priming structures increased the probability of spontaneously using the same structures to describe events in subsequent pictures that were semantically unrelated to the primes. These priming effects persisted across as many as ten intervening filler trials. The present studies replicated these results using auditorily presented primes to which participants only listened. The results indicated persistence of priming across all lags, with relative magnitudes of priming as large as those observed by Bock and Griffin. The implication is that structural priming is persistent regardless of the modality in which language structures are experienced, underscoring the power of priming as an implicit learning mechanism.     

Rule following and rule use in the balance-scale task

Quinlan et al. [Quinlan, p., van der Mass, H., Jansen, B., Booij, O., & Rendell, M. (this issue). Re-thinking stages of cognitive development: An appraisal of connectionist models of the balance scale task. Cognition, doi:10.1016/j.cognition.2006.02.004] use Latent Class Analysis (LCA) to criticize a connectionist model of development on the balance-scale task, arguing that LCA shows that this model fails to capture a torque rule and exhibits rules that children do not. In this rejoinder we focus on the latter problem, noting the tendency of LCA to find small, unreliable, and difficult-to-interpret classes. This tendency is documented in network and synthetic simulations and in psychological research, and statistical reasons for finding such unreliable classes are discussed. We recommend that LCA should be used with care, and argue that its small and unreliable classes should be discounted. Further, we note that a preoccupation with diagnosing rules ignores important phenomena that rules do not account for. Finally, we conjecture that simple extensions of the network model should be able to achieve torque-rule performance.