自主控制影响自我调节类别学习:“决策驱动”的视角

doi:10.16187/j.cnki.issn1001-4918.2026.03.07

摘要/Abstract

摘要： 自我调节学习优势中“决策驱动”观点在记忆领域得到证实,且最低的控制足以改善记忆,尚不明确高阶任务中自主控制的作用。本研究基于类别学习任务,采用共轭设计,逐步提高自主控制程度以检验自我调节学习的优势来源及机制,并使用序列熵表征自主选取类别的有序性。结果表明,在自主控制学习间隔或控制间隔和时长时未发现自我调节学习优势;在自主控制学习间隔、时长和序列时发现自我调节的分类迁移优势,且自我调节个体在学习进程中动态调整其序列决策,在后期偏好交错策略。随着自主控制水平提高,自我调节学习最终促进类别泛化。

关键词: 自我调节学习, 自主控制, 决策驱动, 类别学习, 共轭设计

Abstract: The “decision-driven” view of the self-regulated learning advantage has been demonstrated in the area of memory, and while minimal control is sufficient to improve memory, the role of autonomy in higher-order tasks is not yet clear. In this study, we examined the sources and mechanisms of the self-regulated learning advantage based on a category learning task using the yoked design with progressively higher levels of autonomy, and used sequence entropy to characterize the orderliness of autonomy in the selection of categories. The results showed that no self-regulated learning advantage was found when learning intervals or control intervals and durations were autonomously controlled; a self-regulated categorical transfer advantage was found when learning intervals, durations, and sequences were autonomously controlled, and self-regulated individuals dynamically adapted their sequential decision-making during the learning process, preferring an interleaved strategy at a later stage. Self-regulated learning eventually facilitated category generalization as the level of autonomy control increased.

Key words: self-regulated learning, active control, decision-driven, category learning, yoked design

中图分类号:

G442

郑筱星, 李佩瑾, 邢强. 自主控制影响自我调节类别学习:“决策驱动”的视角[J]. 心理发展与教育, 2026, 42(3): 370-378.

ZHENG Xiaoxing, LI Peijin, XING Qiang. Active Control Influences Self-regulated Category Learning: The “Decision-driven” Perspective[J]. Psychological Development and Education, 2026, 42(3): 370-378.

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