大学生学习动机、学业自我设限与完美主义倾向的关系

目的:探讨大学生学习动机、学业自我设限与完美主义倾向的关系,为大学生在学习方面的指导工作提供相应的理论和实践依据。方法:采用分层随机抽样的方法,运用大学生学习动机量表、学业自我设限量表和中文Frost多维度完美主义量表对364名大学生进行测查。结果:(1)在学业自我设限上,男女生不存在差异;在不同年级之间,大学生在"拖延"和"轻视任务"两个维度上存在显著差异;在不同专业(文理)之间,大学生在学业自我设限上存在显著差异。(2)学业自我设限与学习动机、完美主义倾向相关显著。结论:大学生的学习动机、学业自我设限与完美主义倾向关系密切。     

反馈延迟对信息整合类别学习的影响：视觉项目精确性的调节作用

研究旨在探究更精确的视觉项目表征能否消除延迟反馈对信息整合学习的损害。实验采用2(视觉项目表征精确性:精确/非精确)×2(反馈延迟:即时反馈/延迟反馈)组间设计,结果发现无论有无延迟反馈,精确的项目表征条件下类别学习成绩都显著高于非精确条件,精确性与反馈延迟存在交互作用。采用状态痕迹分析进一步证明精确性显著影响信息整合类别学习的稳定性。在反馈延迟条件下,精确的视觉项目表征能提高信息整合类别学习的成绩。     

成败反馈对大学生核心自我评价的影响：任务重要性、外向性的调节作用

该研究以247名大学生为被试,采用2（反馈类型：成功、失败）×2（任务重要性：重要任务、不重要任务）×2（外向性：内向、外向）组间设计探讨成败反馈对大学生核心自我评价的影响,以及任务重要性和外向性在其中的调节作用。结果表明：（1）反馈类型、任务重要性和外向性对核心自我评价变化的主效应及三者的交互作用效应均显著。（2）成败反馈与任务重要性对核心自我评价变化存在显著的交互作用;简单效应分析表明,在失败反馈条件下,执行重要任务被试核心自我评价的下降幅度显著大于执行不重要任务被试核心自我评价的下降幅度。（3）成败反馈与外向性对核心自我评价变化存在显著的交互作用;简单效应分析显示,在失败反馈条件下,外向被试核心自我评价的下降幅度显著小于内向被试。（4）在失败反馈条件下,任务重要性和外向性对核心自我评价的变化存在交互作用。     

创造性任务情境下社会惰化影响因素研究

研究一,采用单因素组间设计(合作组、名义组、个人组)检验创造性任务情境下是否存在社会惰化效应,结果显示:合作组状态下个体努力水平显著低于名义组,与个人组差异不显著;研究二,采用三因素组间设计(4×2×3)探讨创造性任务情境下社会惰化影响因素,结果显示:目标难度、绩效评估变量主效应显著且存在交互作用,而中期评估变量主效应不显著。研究结果提示:高难度目标、评估个体对群体的贡献可减弱创造性任务情境下的社会惰化效应。     

学习方式和抑制能力对概率类别学习的影响

采用经典的色词Stroop任务和天气预报任务范式,探讨反馈学习和观察学习两种方式以及不同抑制能力对概率类别学习的影响。实验采用2(学习方式)x2(抑制能力)被试间设计,随机选取204名大学生被试。结果显示:反馈学习的成绩显著高于观察学习;高抑制能力者的成绩显著高于低抑制能力者;反馈学习的成绩与意识知识出现分离。这表明,学习方式影响概率类别学习,反馈学习的效果优于观察学习;抑制能力影响概率类别学习,高抑制能力者的学习效果更佳;概率类别学习中同时存在内隐和外显两种学习系统。     

反馈方式对家族相似性类别学习的影响

家族相似性材料是更加接近自然的类别材料,反馈方式(正性反馈和负性反馈)对家族相似性类别学习的影响机制还需进一步研究。采用"学习-测试"范式探讨正性反馈与负性反馈对家族相似性类别学习的效率与策略的影响。研究结果表明,负性反馈组学习速度更快,并在分类任务、记忆任务上的成绩好于正性反馈组;高水平策略使用上,两组的成绩不显著。这说明在学习家族相似性材料时,负性反馈在学习结果和学习效率上均优于正性反馈。     

公安院校大学生学习动机对专业认同的影响研究毐

为考察公安院校大学生学习动机对专业认同的影响,以某公安院校228名大学生为调查对象,采用"大学生学习动机量表"和"大学生专业认同问卷"进行测量。结果表明,公安院校大学生学习动机和专业承诺处于中等偏上水平;除个别维度外,公安院校大学生专业认同与学习动机存在显著正相关;内生动机对专业认同及其附属维度均具有显著的预测效果,外生动机对认知性、行为性与专业认同总分具有显著的预测效果。     

反馈类型和反馈时间对动作技能获得的影响

基于简单直线运动任务和复杂曲线追踪任务,在运动技能获得阶段考察不同反馈类型和反馈时间对操作绩效的影响。结果发现,在复杂曲线轨迹追踪任务中,接受运动轨迹反馈的被试组比接受偏差数值反馈组的成绩更好;即时反馈和延迟反馈组的操作绩效间没有显著差异。在简单直线运动任务中,提供落点偏差的图形反馈组成绩始终优于提供“近/远”信息的文本反馈组;在练习初期,即时反馈组成绩更好。说明,反馈信息的具体-抽象程度影响被试运动技能获得,提供具体直观的轨迹/图形反馈利于运动技能获得;反馈时间对运动技能的影响因任务难度而异。     

学习成绩优良与学习成绩落后大学生的人格特征研究

研究目的：探讨学习成绩优良和学习成绩落后大学生的人格特征及其与学习成绩之间的关系。研究方法：采用卡特尔16PF人格测验对1641名大学二年级学生进行测试，并据其各门课程学习成绩的综合结果将所有被试划分为优良、落后、普通三个组，然后进行人格特征比较及学习成绩与人格特征因素之间的相互分析。研究结果：学习成绩优良组在自律性、有恒性上显著高于学习成绩落后组；在恃强性、世故性、次级因素内向与外向型上显著低于学习成绩落后组；在稳定性、次级因素内向与外向型、心理健康因素和感情用事与安详机警型上显著低于普通组；在忧虑性上高于普通组；学习成绩落后组在稳定性上低于普通组，在忧虑性上高于普通组；学习成绩与恃强性、有恒性、自律性等人格因素之间存在显著相关关系。结论：学习成绩优良的大学生有较强的自我约束、自我管理能力，较能把精力集中在学业上，但性格偏内向，对周围的人或事过于敏感，抗挫折能力弱，心理健康水平欠佳；学习成绩落后的大学生自我管理能力较差，缺乏自信心，难以集中精力于学业，且思维能力欠强，心理健康水平不够佳。     

反馈时间、反馈类型和掩蔽类型对概率类别学习的影响

通过操纵反馈时间(即时,延迟)、反馈类型(简单,丰富)和掩蔽类型(塔罗牌,空白矩形),考察概率类别学习的学习机制。结果发现:(1)被试的学习成绩在即时反馈条件下显著优于在延迟反馈条件下;(2)在即时反馈条件下,仅给予简单反馈,被试虽能出色地完成天气预报任务,但是不能正确地判断卡片预测晴天的概率,倾向内隐学习;(3)在其他条件下,被试能正确地判断卡片预测晴天的概率以及各卡片在天气预报任务中预测天气的重要程度,表明被试能外显地意识到这些线索的作用。综上,概率类别学习采用的是双系统学习机制,既依赖内隐学习,又依赖外显学习。     

Transfer of Reactive Inhibition

A serious challenge to Hull’s (1943) theory of reminiscence and intertrial-interval effects is posed by the current contention that reactive inhibition (I_R) must be task-specific since it does not seem to transfer from one task to another. This notion was examined within the framework of a practice-rest paradigm in which three control groups were given 20 1-min trials on a principal task with intertrial intervals of 0, 5, and 70 sec, respectively, while two experimental groups practiced alternately on the principal task and a secondary task known to produce evidence for I_R. The two secondary tasks varied in their similarities to the principal task. Additional control groups were used to assess the magnitude of habit transfer effects. The total sample consisted of 70 males and 70 females whose modal age was 18 yr. With habit transfer effects controlled, results showed clearly that work effects transferred from the alternate tasks to the main task without regard for differences in similarity. Thus, the task-specificity hypothesis was not supported.     

组织学习研究的争议

组织学习的研究对于当今企业乃至整个社会的可持续性发展都有着重要意义。文章从组织学习的概念、研究、实施和新进展等方面对组织学习的研究进行评论。评论指出,组织学习与学习型组织二者是有很大差别的两个概念,绝不可以混淆;学者和实践者会从不同角度和使用不同方法来探讨组织学习;而组织学习这种组织变革方式与组织的现有政治权力是密切联系在一起的;无论是理论还是实践,都需要建立综合的组织学习机制模型     

企业组织的学习结构

在理论综述的基础上,通过访谈、预试和大规模调查,对企业组织学习结构进行了实证研究。根据访谈和预试,初步确定组织学习问卷的项目。采用探索性因素分析和验证性因素分析,对来自全国不同地区43家企业的管理者和员工的调查数据进行了分析。结果表明,我国企业组织学习是一个6因素的结构模型：组织间学习、组织层学习、集体学习、个体学习、利用式学习、开发式学习;组织学习问卷具有一定的信效度。组织学习的作用和影响因素以及这三者之间的复杂作用机制还有待更为深入的研究     

Reflecting talks: a pedagogical model in the learning organization

The aim of the article is to deepen the understanding of how a pedagogical model for reflecting talks can be used in order to make sustainable learning part of the daily work in the learning organization. From an interactive research approach, we have together with a project management group in a European Social Fund project worked with sustainable learning and knowledge development. Empirical data has been collected at the implementation of ten reflecting talks about sustainable equality. The results of the study lead to a strategy for how sustainable learning can become part of the daily work at a workplace. The strategy is constituted by a pedagogical model for reflecting talks, which clearly shows how sustainable learning in an organization can be structured. The core of the pedagogical model for the reflecting talks where both practically applied and theoretically anchored knowledge are important components. The learning process is based on observation, reflection, analysis and discussion of concrete situations/events. The models rests on four basic conditions; pedagogical competence, a delimited problem area, the learning group and timeframes. The model can be used in the daily work at short dialogues or at more penetrating discussions.     

学习支持对基于计算机模拟的发现学习的影响

研究了针对发现活动的意义性的解释性支持 (IS)、针对其系统逻辑性的实验性支持 (ES)以及学习者的推理能力对基于模拟的科学发现学习的影响。设计开发了关于浮力的模拟软件 ,被试为北京十四中初二学生 80名 ,采用 2 (有 /无IS)× 2 (有 /无ES)× 3(推理能力 )的混合实验设计。结果发现 ,推理能力在原理性知识、直觉性理解测验以及学习者所设计实验的质量上有显著的主效应。IS在原理性知识和灵活应用测验上有显著的主效应。ES与推理能力在原理性知识测验上有显著的交互作用 ,ES在学习者所设计实验的质量上有显著的主效应。这一结果说明 ,发现活动的意义性和系统逻辑性对基于模拟的发现学习有重要的制约作用 ,应该针对这两个侧面设计相应的学习支持     

Surface features can deeply affect artificial grammar learning

Three experiments explored the extent to which surface features explain discrimination between grammatical and non-grammatical strings in artificial grammar learning (AGL). Experiment 1 replicated Knowlton and Squire’s (1996) paradigm using either letter strings as in the original study, or an analogous set of color strings to further explore if learning was affected by type of stimuli. Learning arose only with letter strings, but the results were mostly due to the discrimination of non-grammatical strings containing highly salient illegal features. Experiments 2 and 3 tested a new grammar devised to control for those features. Experiment 2 showed reduced grammar learning effects, and again only for letter materials. Experiment 3 explored the effect of additional practice with letter stimuli, and found increased learning only in the spaced practice condition, though additional practice also produced more explicit knowledge. These findings call for further research on the boundary conditions of learning in AGL paradigms.     

Implicit motor sequence learning is not represented purely in response locations

This study employed a novel variant of the serial reaction time task, focused on sequencing one element of movement—direction. During the task a repeated pattern of alternating directions (right–left–right, etc.) was embedded in the stimuli, and there was no series of response locations. Responses were made via two effector systems: single-finger responding (necessitates lateral arm movements between response keys), and four-fingered responding (4 individual fingers on 4 individual keys; requires no lateral arm movement). The sequence of directions was only learned by participants who performed lateral movements during training, indicating that learning was contingent on the particular motor effector used. Participants with low levels of sequence awareness displayed the same pattern of results.     

Cross‐Situational Learning: An Experimental Study of Word‐Learning Mechanisms

Cross‐situational learning is a mechanism for learning the meaning of words across multiple exposures, despite exposure‐by‐exposure uncertainty as to the word's true meaning. We present experimental evidence showing that humans learn words effectively using cross‐situational learning, even at high levels of referential uncertainty. Both overall success rates and the time taken to learn words are affected by the degree of referential uncertainty, with greater referential uncertainty leading to less reliable, slower learning. Words are also learned less successfully and more slowly if they are presented interleaved with occurrences of other words, although this effect is relatively weak. We present additional analyses of participants’ trial‐by‐trial behavior showing that participants make use of various cross‐situational learning strategies, depending on the difficulty of the word‐learning task. When referential uncertainty is low, participants generally apply a rigorous eliminative approach to cross‐situational learning. When referential uncertainty is high, or exposures to different words are interleaved, participants apply a frequentist approximation to this eliminative approach. We further suggest that these two ways of exploiting cross‐situational information reside on a continuum of learning strategies, underpinned by a single simple associative learning mechanism.     

Rapid Learning in a Children's Museum via Analogical Comparison

We tested whether analogical training could help children learn a key principle of elementary engineering—namely, the use of a diagonal brace to stabilize a structure. The context for this learning was a construction activity at the Chicago Children's Museum, in which children and their families build a model skyscraper together. The results indicate that even a single brief analogical comparison can confer insight. The results also reveal conditions that support analogical learning.     

Thirty years of research on online learning

This paper presents a personal account of developments in research on online learning over the past 30 years. Research on how to design online instruction represents an example of applying the science of learning to education. It contributes to the science of learning (as exemplified by developments in cognitive load theory, the cognitive theory of multimedia learning, and incorporating metacognitive, motivational, and affective aspects of learning), the science of instruction (as exemplified by the continuing development of research‐based principles of instructional design), and the science of assessment (as exemplified by supplementing self‐report surveys and retention tests with multilevel transfer tests, log file data during learning, and cognitive neuroscience measures of cognitive processing during learning). Some recurring themes are that learning is caused by instructional methods rather than instructional media, so research should focus on features that are uniquely afforded by digital learning environments; instructional practice should be grounded in rigorous and systematic research, including value‐added experiments aimed at pinpointing the active ingredients in online instruction; research in online learning should identify boundary conditions under which instructional techniques are most effective; and research in online learning should test and contribute to learning theory.