Koriat Asher
Department of Psychology, University of Haifa, 3498838, Haifa, Israel.
Institute of Information Processing and Decision Making, Haifa, Israel.
Mem Cognit. 2018 Apr;46(3):370-383. doi: 10.3758/s13421-017-0771-7.
Previous results suggest that the monitoring of one's own performance during self-regulated learning is mediated by self-agency attributions and that these attributions can be influenced by poststudy effort-framing instructions. These results pose a challenge to the study of issues of self-agency in metacognition when the objects of self-regulation are mental operations rather than motor actions that have observable outcomes. When participants studied items in Experiment 1 under time pressure, they invested greater study effort in the easier items in the list. However, the effects of effort framing were the same as when learners typically invest more study effort in the more difficult items: Judgments of learning (JOLs) decreased with effort when instructions biased the attribution of effort to nonagentic sources but increased when they biased attribution to agentic sources. However, the effects of effort framing were constrained by parameters of the study task: Interitem differences in difficulty constrained the attribution of effort to agentic regulation (Experiment 2) whereas interitem differences in the incentive for recall constrained the attribution of effort to nonagentic sources (Experiment 3). The results suggest that the regulation and attribution of effort during self-regulated learning occur within a module that is dissociated from the learner's superordinate agenda but is sensitive to parameters of the task. A model specifies the stage at which effort framing affects the effort-JOL relationship by biasing the attribution of effort to agentic or nonagentic sources. The potentialities that exist in metacognition for the investigation of issues of self-agency are discussed.
先前的研究结果表明,在自我调节学习过程中对自身表现的监测是由自我能动性归因介导的,并且这些归因会受到学习后努力框架指令的影响。当自我调节的对象是心理操作而非具有可观察结果的运动行为时,这些结果对元认知中自我能动性问题的研究提出了挑战。在实验1中,当参与者在时间压力下学习项目时,他们会在列表中较容易的项目上投入更多的学习精力。然而,努力框架的效果与学习者通常在较难项目上投入更多学习精力时相同:当指令将努力归因于非能动性来源时,学习判断(JOLs)随努力程度降低,而当指令将归因偏向能动性来源时,学习判断则增加。然而,努力框架的效果受到学习任务参数的限制:项目间难度差异限制了将努力归因于能动性调节(实验2),而项目间回忆激励差异限制了将努力归因于非能动性来源(实验3)。结果表明,自我调节学习过程中努力的调节和归因发生在一个与学习者上级议程分离但对任务参数敏感的模块内。一个模型通过将努力归因偏向能动性或非能动性来源,指定了努力框架影响努力与学习判断关系的阶段。本文还讨论了元认知在自我能动性问题研究方面存在的潜力。