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1 | 1 | --- |
2 | 2 | name: retaincraft |
3 | 3 | description: > |
4 | | - AI learning assistant with spaced repetition, active recall, Feynman technique, |
5 | | - and study planning. Helps you memorize, review, and master any subject. |
| 4 | + AI learning assistant with distributed practice (d=0.85), practice testing (d=0.74), |
| 5 | + self-explanation (d=0.54), interleaved practice (d=0.47), and elaborative interrogation (d=0.56). |
| 6 | + Implements these as: spaced repetition, active recall, Feynman technique, interleaved practice, and study planning. |
6 | 7 | Features: FSRS-5 spaced repetition (default, ML-based), SM-2 fallback, forgetting curve alerts, burnout detection, |
7 | 8 | learning contracts, weekly reports, module tests, progress tracking. |
8 | | - 基于循证学习科学的 AI 辅助学习协议:间隔重复、主动回忆、费曼学习法、 |
9 | | - 交错练习、精细加工提问。帮助你记忆、复习、掌握任何学科。 |
10 | | - 功能:间隔重复调度、遗忘曲线提醒、倦怠检测、学习契约、周报、模块测试、进度追踪。 |
| 9 | + 基于循证学习科学的 AI 辅助学习协议:分布式练习、实践测试、自我解释、交错练习、精细加工提问。 |
| 10 | + 对应实现为:间隔重复、主动回忆、费曼学习法、交错练习、学习规划。 |
| 11 | + 功能:FSRS-5 间隔重复调度、遗忘曲线提醒、倦怠检测、学习契约、周报、模块测试、进度追踪。 |
11 | 12 | version: 1.3.0 |
12 | 13 | author: kaixiad |
13 | 14 | license: MIT |
@@ -136,11 +137,11 @@ Evidence-based AI-assisted interactive learning protocol |
136 | 137 |
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137 | 138 | | Method (方法) | Effect Size (效果量) | Source (来源) | |
138 | 139 | |---------------|---------------------|---------------| |
139 | | -| Spaced Repetition (间隔重复) | d=0.85 | Donoghue & Hattie 2021 | |
140 | | -| Active Recall (主动回忆) | d=0.74 | Donoghue & Hattie 2021 | |
141 | | -| Interleaving (交错练习) | d=0.47 | Donoghue & Hattie 2021 | |
142 | | -| Elaborative Interrogation (精细加工提问) | d=0.56 | Donoghue & Hattie 2021 | |
143 | | -| Feynman Technique (费曼学习法) | d=0.54* | Donoghue & Hattie 2021 | |
| 140 | +| Distributed Practice → 间隔重复 | d=0.85 | Donoghue & Hattie 2021 | |
| 141 | +| Practice Testing → 主动回忆 | d=0.74 | Donoghue & Hattie 2021 | |
| 142 | +| Self-Explanation → 费曼学习法 | d=0.54* | Donoghue & Hattie 2021 | |
| 143 | +| Interleaved Practice → 交错练习 | d=0.47 | Donoghue & Hattie 2021 | |
| 144 | +| Elaborative Interrogation → 精细加工提问 | d=0.56 | Donoghue & Hattie 2021 | |
144 | 145 | | AI Tutoring (AI 辅导) | 0.63-1.3 SD | Kestin et al. 2025 RCT | |
145 | 146 |
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146 | 147 | > **Note (注)**: *d=0.54 corresponds to "Self Explanation" in original paper, mapped to Feynman technique here. |
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