以元认知策略提高毕节学院英语专业学生自主学习能力的探析

培养学生自主学习能力是大学英语教学的重要目标之一,以毕节学院英语专业学生为例,以问卷调查的形式发现了学生在使用元认知策略和自主学习能力方面都比较薄弱.于是探讨了以元认知策略提高自主学习能力的重要性和必要性,并提出了元认知策略培训的几个方法.     

元认知策略培训实证研究

元认知策略是提高学生自主学习能力关键,而高职新生在外语学习过程中很少使用元认知策略,所以有必要通过培训让学生掌握元认知策略来提高外语学习的效率,提高自主学习能力.本研究通过对高职学生进行一个学期的元认知策略培训,学生在外语学习过程中使用元认知策略的意识有了提高.     

元认知:构建自主学习的外语教学策略

认知心理学中的元认知理论是培养学生创造性思维、构建自主学习的一个重要教学理论.元认知、元认知策略已经逐渐成为外语教学的重要内容.文章就元认知的理论界定,自主学习与元认知策略的关系以及如何在外语教学实践中对学生进行元认知策略运用能力训练进行探讨,引导学生形成富有成效的自主学习策略系统,从而提高学生运用元认知策略的能力,促进其综合语言技能的提高.     

自主学习的前提和关键:元认知意识及策略的培养

本文以元认知和自主学习理论为基础,探讨了自主学习能力与元认知意识、元认知策略的密切关系,指出元认知意识和元认知策略的培养是自主学习的前提和关键,教师应重视提高学生的元认知水平,注重培养学生的元认知意识和元认知策略,使学生能够对自己的学习过程进行积极监控,从而引导学生成为成功的自主学习者。     

高一物理新课程中培养学生元认知能力的策略

普通高中新课程的具体目标之一是提高学生的自主学习能力,而学生现有的元认知能力制约了自主学习能力的提高,因此在高一物理教学中,介绍了以下有效的四个策略提高学生元认知技能,发展物理自主学习能力:1.在教学中营造元认知策略应用的知性环境,合理呈现问题及方法,使学生在思考过程中学会应用元认知策略.2.指导学生"自我提问"和"出声思维".3.引导学生不断地对学习活动自我反思,并进行章节小结.4.引导学生主动阅读,培养学生元认知能力.     

元认知策略与英语自主学习

培养学生自主学习的能力是大学英语教学的重要目标之一。而元认知策略是当今英语教学工作中的一个重要策略．元认知理论是培养学生思维,构建自主学习的一个重要教学理论．元认知、元认知策略已经避渐成为英语教学的重要内容。本文主要研讨如何在自主学习中通过元认知策略的培训,有效提高学生的英语自主学习能力。     

元认知策略与英语听力理解自主训练能力的培养

元认知策略是非常重要的学习策略,它能提高学生的自主学习意识,从而让学生成为管理和支配学习的主人,指导自己展开自主学习.作者在元认知策略和自主学习理论基础上,把元认知策略引入大学英语听力教学实践中,培养学生的元认知策略意识和自主展开听力训练的能力,达到了提高学生听力理解能力的教学效果.     

元认知策略下的自主学习评价体系的建构

自主学习评价体系的建构对于英语的教学极为重要,其可提高学生自主学习英语的能力,有效的评价学生学习的效果,还可提高学生英语的综合能力.而元认知策略对于自主学习评价体系的建构具有重大的推动作用,其可监控与调制学生自主学习的行为.因此,本文通过分析元认知策略和自主学习的联系,探讨了元认知策略下英语自主学习评价体系建构的方法,进而提高学生自主学习的能力及其英语水平.     

元认知:构建自主学习的外语教学策略

认知心理学中的元认知理论是培养学生创造性思维、构建自主学习的一个重要教学理论。元认知、元认知策略已经逐渐成为外语教学的重要内容。文章就元认知的理论界定,自主学习与元认知策略的关系以及如何在外语教学实践中对学生进行元认知策略运用能力训练进行探讨,引导学生形成富有成效的自主学习策略系统,从而提高学生运用元认知策略的能力,促进其综合语言技能的提高。     

运用元认知策略提高学生英语自主学习能力

探讨了元认知策略和自主学习能力的主要内容及其与英语学习成绩的密切关系,对学生进行元认知的培养,有助于提高学生管理和支配自己学习的能力.在学生自主学习中应加强对元认知的培养和训练,进而达到提高成绩的目的.     

Examining the Role of Self-Regulated Learning Microanalysis in the Assessment of Learners’ Regulation

We examined the degree of convergence among self-regulated learning microanalysis, measures of metacognitive monitoring, and a self-regulated learning questionnaire during reading. Participants' reported strategy use during reading, as measured by self-regulated learning microanalysis, was significantly related to scores on a self-regulated learning questionnaire. Self-monitoring on the microanalytic protocol was significantly related to a measure of metacognitive monitoring as well as to participants' item-level confidence judgments. Participants who made strategy attributions for performance tended to have higher scores on the measure of reading comprehension. Strategic planning and strategy use during reading of the text also predicted comprehension. Implications and future directions for the study of self-regulated learning microanalysis are discussed.     

Interactions of Metacognition With Motivation and Affect in Self-Regulated Learning: The MASRL Model

Metacognition, motivation, and affect are components of self-regulated learning (SRL) that interact. The “metacognitive and affective model of self-regulated learning” (the MASRL model) distinguishes two levels of functioning in SRL, namely, the Person level and the Task × Person level. At the Person level interactions between trait-like characteristics such as cognitive ability, metacognitive knowledge and skills, self-concept, perceptions of control, attitudes, emotions, and motivation in the form of expectancy-value beliefs and achievement goal orientations are hypothesized. These person characteristics guide top-down self-regulation. At the Task × Person level, that is, the level at which SRL events take place, metacognitive experiences, such as feeling of difficulty, and online affective states play a major role in task motivation and bottom-up self-regulation. Reciprocal relations between the two levels of functioning in SRL are also posited. The implications of the MASRL model for research and theory are discussed.     

Metacognition, achievement goals, study strategies and academic achievement: pathways to achievement

The purpose of this research was to develop and test a model of effective self-regulated learning. Based on effort expenditure we discerned effective self-regulators and less effective self-regulators. The model comprised achievement goals (mastery, performance-approach and -avoidance goals), metacognition (metacognitive knowledge, regulation and experience), study strategies (metacognitive, deep cognitive, surface cognitive and resource management strategies) and academic achievement. The relationships in the model were tested with controlling for intellectual ability, gender and age. The results showed that effective self-regulated learning involved two pathways: a metacognitive and a strategy pathway. The first pathway involved a positive relationship of mastery goals and a negative relationship of performance-avoidance goals with metacognition. Metacognition positively affected the use of the four study strategies. The strategy pathway involved positive effects of mastery and performance-approach goals on the use of metacognitive and deep cognitive strategies. Further, performance-approach goals positively affected the use of surface cognitive and resource management strategies. The use of metacognitive and resource management strategies had a positive and the use of surface cognitive strategies had a negative effect on exam scores.     

How can primary school students learn self-regulated learning strategies most effectively?: A meta-analysis on self-regulation training programmes

Recently, research has increasingly focused on fostering self-regulated learning amongst young children. To consider this trend, this article presents the results of a differentiated meta-analysis of 48 treatment comparisons resulting from 30 articles on enhancing self-regulated learning amongst primary school students. Based on recent models of self-regulated learning, which consider motivational, as well as cognitive, and metacognitive aspects [Boekaerts, M. (1999). Self-regulated learning: Where we are today. International Journal of Educational research, 31(6), 445-457], the effects of self-regulated learning on academic achievement, on cognitive and metacognitive strategy application, as well as on motivation were analyzed. As the results show, self-regulated learning training programmes proved to be effective, even at primary school level. Subsequent analysis tested for the effects of several moderator variables, which consisted of study features and training characteristics. Regarding factors that concern the content of the treatment, the impact of the theoretical background that underlies the intervention was tested, as well as the type of cognitive, metacognitive, or motivational strategy which were instructed, and if group work was used as instruction method. Training context related factors, which were included in the analyses consisted of students’ grade level, the length of the training, if teachers or researchers directed the intervention, as well as the school subject in which context the training took place. Following the results of these analyses, a list with the most effective training characteristics was provided.     

有效性数学学习与学习环境设计

通过分析有效性数学学习的特点和促进有效性数学学习环境的设计原理认为：数学学习环境应该倡导和支持建构性和自我调节的学习过程;有效的学习环境必须要体现有效性学习的情境性和合作本质;有效的学习环境要把一般的学习和思维技能嵌套在不同的学科领域,真正体现启发式和元认知策略在学习中的价值。     

提高独立学院学生日语听力课后自主学习能力的思考

听力在语言运用能力中是至关重要的一个环节,如何提高独立学院学生课后自主学习能力已成为听力课程教学模式改革与创新的重要课题。基于此,通过分析听力课后自主学习的材料、任务及评估手段来探索提高学生课后自主学习能力的方法,以期全面提高独立学院的听力教学水平,实现日语教学的目标。     

如何培养大学生英语自主学习能力

目前,大学生英语自主学习能力普遍较低。通过树立新的教育观念、增强英语自主学习意识、创建英语自主学习环境、教会学习策略、建立自主学习中心等途径可以提高大学生英语自主学习能力。     

英语专业双学位学生写作元认知策略的介入性研究

元认知策略是是学习者通过计划、监控及评估等方法对认知过程进行自我管理的策略,有效使用元认知策略是自主学习能力的核心。对学生进行元认知策略的介入性培训,有助于提高自主学习能力。目前,国内的研究仅针对英语专业或非英语专业的学生,还未有对英语专业双学位学生的介入性研究。本文对57名英语专业双学位学生进行一学期的写作元认知策略培训,定量分析显示,学生的写作成绩得到提高,同时运用写作元认知策略的频率也增加了;定性分析显示,元认知策略训练有助于提高写作方面自主学习意识。     

Approach–avoidance motivation and metacognitive self-regulation: The role of need for achievement and fear of failure

Previous research has indicated that approach–avoidance motivation at the achievement goal level influences the quality of self-regulated learning. Additionally, research indicates that approach–avoidance motivation at the dispositional level is associated with cognitive self-regulated learning strategy use. The present investigation sought to extend this research by examining the relationship between approach–avoidance motivation at the dispositional level and metacognitive self-regulation, as well as the mediational potential of approach–avoidance achievement goals among a sample of undergraduate students (N = 145). Results indicated that need for achievement was significantly related to metacognitive self-regulation and mastery-approach goals partially mediated this relationship. Fear of failure was negatively associated with metacognitive self-regulation; however, performance-avoidance goals did not mediate this relationship. The significance of such individual differences in metacognitive self-regulation is discussed.     

Systematically reviewing the potential of concept mapping technologies to promote self-regulated learning in primary and secondary science education

We systematically searched five databases to assess the potential of concept mapping-based technologies to promote self-regulated learning in science education. Our search uncovered 17 relevant studies that investigated seven different types of learning technologies. We performed a narrative analysis assessing how each technology affects self-regulated learning through cognitive, metacognitive, and motivation strategies, according to Schraw et al. (2006)'s model. We suggest concept mapping technologies may affect self-regulated learning through enhancing these strategies to varying degrees. Computer software was particularly useful for developing cognitive strategies through ease of use. Teaching agents were particularly useful for developing metacognitive strategies by coupling visualisation of knowledge patterns with performance monitoring, aided by a teaching metaphor. Finally, mobile devices and teaching agents were most effective in enhancing motivation. Effects on knowledge gains remain unclear due to small sample sizes.