慢学习者的间隔重复

Devansh P. Shah, Nikhil M. Jagtap, Shloka S. Shah, Anant V. Nimkar
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引用次数: 2

摘要

间隔重复法已被证明是学习和记忆复杂主题的有效方法。描述了一种“慢学习者的间隔重复”(SRSL)算法来安排重复,最终适应学习者的能力。SRSL根据问题的反应时间、难度和依赖性等因素计算学习者的特定评估分数。指数遗忘曲线模型是SRSL假设的记忆模型。在此基础上提出了一种模型,并进行了实验分析。此外,通过对SRSL和Leitner系统的比较,证明了该算法对学习者学习曲线的适应性。
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Spaced Repetition for Slow Learners
Spaced Repetition has proven to be an effective way in learning and memorizing complex topics. An algorithm ‘Spaced Repetition for Slow Learners’ (SRSL) is described to schedule repetitions which eventually adapts to the capacity of the learner. SRSL computes the score of learners for a particular assessment based on factors such as response time, difficulty and dependency of questions. The exponential forgetting curve model is the memory model assumed by SRSL. Based on this algorithm, a model has been proposed with experimental analysis of the same. Further, comparison of SRSL and the Leitner System demonstrates the adaptability of the algorithm to the learning curve of the learner.
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