deliberate practice
时间: 2024-04-17 07:29:35 浏览: 26
Deliberate practice(刻意练习)是一种通过专注、有目的地、有反馈地练习来提高技能的方法。它强调在专门设计的练习环境中,集中精力进行重复练习并接收及时的反馈。
以下是一些刻意练习的关键特点和实践方法:
1. 专注于具体技能:选择一项你想要提高的特定技能或领域,并明确你的目标。
2. 制定明确的计划:制定一个详细的计划,包括具体的练习任务和时间安排。
3. 集中精力:在练习期间,全身心地专注于任务,摒除任何分散注意力的因素。
4. 寻求及时反馈:寻找合适的反馈机制,例如教练、导师或同行的评估,以了解你的表现和改进方向。
5. 分解任务:将整个技能分解为更小的部分,针对每个部分进行有针对性的练习,逐步提高整体水平。
6. 反思和调整:在练习结束后,反思自己的表现,识别问题和改进点,并相应地调整你的练习计划。
通过持续的刻意练习,你可以提高技能并达到更高的水平。这种方法适用于各种领域,包括音乐、体育、编程等。记住,刻意练习需要时间和努力,但它可以帮助你取得显著的进步。
相关问题
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好的,我已经按照每个单词一列的格式重新排列了您给出的数据,并按照首字母顺序进行了排序。以下是处理后的数据:
```
Academic
According
Accordance
Amenable
Amendment
Anonymous
Authorities
Clandestine
Collaborators’
Comparing
Comparison
Concurrent
Consequential
Current
Defined
Deliberate
Detect
Discussing
Distribution
Distinguish
Empirical
Endemic
Engaged
Episode
Episodes
Fabrication
Fraud
Fraudulent
Future
Handling
Harsh
Hedging
Impaired
Indicating
Insight
Intuition
List
Mars
Methodology
Motive
Objective
Occurrence
Originality
Overzealous
Pertaining
Plagued
Prestigious
Privy
Proportion
Proximity
Receptive
Reference
Reiterates
Rock
Self-efficacy
Substantially
Survey
Tampering
Undermine
Validity
Vicinity
Will
With
```
请注意,我将 "Discussion" 和 "Discussions" 归为了同一组,并将其排列到了 "D" 的位置。如果您需要任何其他的帮助,请随时告诉我。
> setwd("/Users/imac/Desktop/summary_process") > > # 读取csv文件 > data <- fread("output_summary15.csv") > > # 选择需要的列 > cols <- c("V1", "V2", "V24", "V15", "V3.y", "V7") > selected_data <- data[, cols] Error in `[.data.table`(data, , cols) : j (the 2nd argument inside [...]) is a single symbol but column name 'cols' is not found. Perhaps you intended DT[, ..cols]. This difference to data.frame is deliberate and explained in FAQ 1.1.
这个错误是因为`cols`被当作一个列名传递给`data.table`的`j`参数,而不是一个包含列名的向量。为了使用向量`cols`选择列,请使用`..cols`语法,像这样:
```
selected_data <- data[, ..cols]
```
这将告诉`data.table`将向量`cols`中的元素视为列名,并选择这些列。