间隔重复

Spaced Repetition

Over 130 years of research demonstrate that information reviewed at increasing intervals is retained dramatically longer than massed practice. The spacing effect is one of the most robust findings in cognitive psychology.

The spacing effect—the finding that distributed practice leads to better retention than massed practice—has been demonstrated in over 250 successful experiments spanning more than a century. It is, quite simply, one of the most reliable phenomena in all of learning science.

The Ebbinghaus forgetting curve showing rapid initial forgetting that slows over time, with spaced reviews flattening the curve

The forgetting curve: without review, we lose most of what we learn within days
遗忘曲线

The Forgetting Curve

In the 1880s, German psychologist Hermann Ebbinghaus conducted the first rigorous experiments on human memory. His findings, published in 1885, revealed the stark reality of forgetting:[1]

After 1 hour
50%
forgotten
After 24 hours
70%
forgotten
After 1 week
90%
forgotten

But Ebbinghaus also discovered something remarkable: each repetition flattens the forgetting curve. Information reviewed at the right intervals becomes increasingly resistant to forgetting.

38 repetitions distributed over three days produced the same retention as 68 repetitions crammed into a single day—nearly 50% greater efficiency through spacing.

Ebbinghaus, 1885

间隔效应

The Spacing Effect

The spacing effect refers to the robust finding that information presented repeatedly over spaced intervals is learned far better than information repeated without intervals. This effect has been replicated across:

  • Different types of material (verbal, motor, conceptual)
  • Different age groups (children through elderly)
  • Different species (humans, animals)
  • Different retention intervals (minutes to years)

In a comprehensive review, Cepeda et al. (2006) analyzed 839 assessments from317 experiments. The result: spaced practice outperformed massed practice in 259 out of 271 cases—a 95.6% success rate.[2]

荟萃分析

What the Meta-Analyses Show

Dunlosky et al. (2013): Learning Techniques Review

In a landmark review of learning techniques, distributed practice (spaced repetition) received a "high utility" rating—one of only two techniques to achieve this distinction. The authors noted it is "relatively easy to implement" and effective "across diverse learning domains and populations."[3]

Kang (2016): Efficiency and Effectiveness

Described spaced repetition as "feasible and cost-effective" with "tremendous potential for educational outcomes," based on hundreds of studies demonstrating superior long-term learning.[4]

Comparison chart: spaced vs massed practice retention over time, showing dramatic divergence at longer intervals

Long-term retention is dramatically higher with spaced practice
定量发现

Quantitative Findings

The research provides compelling numbers on the superiority of spaced practice:

82% vs 27%
Material retained after 150 weeks
Spaced learners retained 3x more than crammers
University course study
80% vs 60%
Average recall accuracy
33% higher recall with spaced repetition
Journal of Experimental Psychology
50% fewer sessions
Training efficiency
13 sessions at 56-day spacing = 26 sessions at 14-day spacing
Bahrick et al., 1993
35% higher scores
Delayed vocabulary test
Distributed practice vs. massed practice
Bloom & Shuell, 1981
词汇学习研究

Foreign Language Vocabulary Research

Bahrick et al. (1993): The 9-Year Study

In one of the most impressive demonstrations of spacing effects, Bahrick and colleagues tracked vocabulary learning over nine years. Participants learned 300 English-foreign language word pairs with varying session intervals.[5]

Key finding: 13 sessions spaced at 56 days yielded retention comparable to 26 sessions spaced at 14 days—meaning optimal spacing cut required practice time in half while achieving the same results.

Bloom & Shuell (1981): Classroom Vocabulary

High school French students were assigned identical vocabulary study time—30 minutes total. One group studied in three 10-minute sessions across three days; the other crammed all 30 minutes into one day.[6]

On an immediate test, both groups performed similarly. But four days later, the distributed practice group scored 35% higher—demonstrating that massed practice creates an illusion of learning that doesn't persist.

Chukharev-Hudilainen & Klepikova (2016): Digital SRS

EFL students using computer-based spaced repetition for just 3 minutes per day increased their long-term vocabulary retention three-fold (300%) compared to traditional study methods.[7] This study won the "Outstanding CALICO Journal Article" award.

Just 3 minutes per day of spaced repetition practice produced 3x better vocabulary retention than traditional study methods.

Chukharev-Hudilainen & Klepikova, 2016

工作原理

Why Spaced Repetition Works

Several complementary mechanisms explain the power of spaced repetition:

1. Memory Consolidation

Long-term memory formation requires time for neural consolidation. Massed repetition doesn't allow sufficient time for consolidation between exposures. Spacing provides the time needed for memories to stabilize.[8]

2. Desirable Difficulty

The Bjork Learning Lab at UCLA has shown that reducing the accessibility of information in memory actually fosters additional learning. Spacing makes retrieval harder in the short term, which strengthens memory in the long term.[9]

3. Encoding Variability

Spaced sessions occur in different contexts—different times, mental states, and environments. This creates multiple retrieval pathways to the same information, making it accessible from more cues.

4. The Testing Effect

Research by Karpicke & Roediger (2008) showed that repeated testing produces dramatically better retention than repeated studying—even when testing takes less time.[10] SRS combines spacing with active retrieval for maximum effect.

SM-2 算法

The SM-2 Algorithm

The SM-2 algorithm, developed by Dr. Piotr Woźniak in 1987, was the first practical computer-based implementation of spaced repetition. It forms the foundation of modern SRS systems including Anki and Imbue.

How It Works

SM-2 tracks three properties for each item:

  • Repetition number: Times successfully recalled since last failure
  • Inter-repetition interval: Days until next review
  • Ease factor: Multiplier based on recall difficulty

After each review, the algorithm adjusts the next interval based on how easily you recalled the item. Easy items get longer intervals; difficult items get shorter intervals or are reset entirely.

Typical SM-2 Progression

1 day
3 days
1 week
2 weeks
1 month
3 months
6 months
1 year

With successful recalls, intervals grow exponentially—maximizing retention while minimizing review time.

中文学习应用

Application to Chinese Learning

Spaced repetition is particularly valuable for Chinese learners due to the unique challenges of the language:

  • Character-based writing: With ~600 stroke patterns (vs. 26 letters), Chinese requires consistent, strategic review for character retention.
  • Tone memory: Tonal distinctions require repeated exposure to maintain accurate recall.
  • Large vocabulary: Reaching reading fluency requires thousands of characters—impossible to maintain through cramming alone.

Expert practitioners report maintaining active knowledge of 20,000+ Chinese words with just 30 minutes of daily SRS review—achieving 90-95% accuracy on comprehensive tests.

应用

How Imbue Applies This Research

Imbue implements spaced repetition as the bridge between comprehensible input and durable vocabulary acquisition:

  • SM-2 based scheduling: Our algorithm calculates optimal review intervals for each word based on your recall performance.
  • Context-aware review: Words are reviewed with example sentences from passages you've read, reinforcing contextual memory.
  • Active recall: You type the word and meanings rather than passive recognition—leveraging the testing effect.
  • Minimal daily commitment: Just minutes per day maintains your growing vocabulary, following the research showing 3 minutes can triple retention.
  • Integration with reading: SRS complements extensive reading—words encountered naturally in passages reinforce SRS learning, and vice versa.

By combining comprehensible input (reading) with spaced repetition (review), Imbue creates a complete acquisition system—words enter through context and stay through scientifically-optimized reinforcement.

参考文献

References

[1]

Ebbinghaus, H. (1885). Memory: A Contribution to Experimental Psychology. New York: Teachers College, Columbia University (1913 translation)

[2]

Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132, 354-380

[3]

Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students' learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4-58

[4]

Kang, S. H. K. (2016). Spaced repetition promotes efficient and effective learning. Policy Insights from the Behavioral and Brain Sciences, 3(1), 12-19

[5]

Bahrick, H. P., Bahrick, L. E., Bahrick, A. S., & Bahrick, P. E. (1993). Maintenance of foreign language vocabulary and the spacing effect. Psychological Science, 4(5), 316-321

[6]

Bloom, K. C., & Shuell, T. J. (1981). Effects of massed and distributed practice on the learning and retention of second-language vocabulary. The Journal of Educational Research, 74(4), 245-248

[7]

Chukharev-Hudilainen, E., & Klepikova, T. A. (2016). The effectiveness of computer-based spaced repetition in foreign language vocabulary instruction: A double-blind study. CALICO Journal, 33(3), 334-354

[8]

Kornell, N., & Bjork, R. A. (2008). Learning concepts and categories: Is spacing the 'enemy of induction'?. Psychological Science, 19(6), 585-592

[9]

Bjork, R. A., Kornell, N., & Garcia, M. A. (2011). Why tests appear to prevent forgetting: A distribution-based bifurcation model. Journal of Memory and Language, 65(2), 85-97

[10]

Karpicke, J. D., & Roediger, H. L. (2008). The critical importance of retrieval for learning. Science, 319(5865), 966-968

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