Learning, goals, and learning goals: A perspective on goal-driven learning
作者:David B. Leake, Ashwin Ram
摘要
In cognitive science, artificial intelligence, psychology, and education, a growing body of research supports the view that the learning process is strongly influenced by the learner's goals. The fundamental tenet ofgoal-driven learning is that learning is largely an active and strategic process in which the learner, human or machine, attempts to identify and satisfy its information needs in the context of its tasks and goals, its prior knowledge, its capabilities, and environmental opportunities for learning. This article examines the motivations for adopting a goal-driven model of learning, the relationship between task goals and learning goals, the influences goals can have on learning, and the pragmatic implications of the goal-driven learning model. It presents a new integrative framework for understanding the goal-driven learning process and applies this framework to characterizing research on goal-driven learning.
论文关键词:machine learning, cognitive modeling, metacognition, active learning, multistrategy learning, utility of learning
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论文官网地址:https://doi.org/10.1007/BF00849065