对于阅读障碍学生的推理指令
Amy E Barth1, Ethan R Ankrum2, Cathy Newman Thomas3
1William Jewell College, 500 College Hill, Liberty, MO 64068 USA.
概括
阅读障碍的农村学生难以阅读理解,特别是推断. 这篇文章支持教育工作者教导推断技能,以提高阅读能力并确保公平的学习.
科学领域:
- 教育教育教育教育教育教育.
- 特殊教育 特殊教育
- 识字研究 识字研究
背景情况:
- 国家数据显示,90%的阅读障碍农村学生的阅读能力低于基本的阅读能力.
- 阅读理解受到推断能力的重大影响,这对于阅读障碍的学生来说是一项具有挑战性的技能.
- 农村特殊教育工作者面临资源限制,经常在普通教育环境中支持阅读障碍的学生.
研究的目的:
- 支持农村特殊教育工作者与普通教育教师合作.
- 提高阅读障碍学生阅读指导的质量和专业化.
- 通过改进阅读理解策略,促进包容和公平的学习环境.
主要方法:
- 定义推理及其在阅读理解中的重要性.
- 审查与推断相关的大学和职业准备标准.
- 分析阅读障碍或阅读障碍风险的学生的特定推断技能.
- 概述有效推理指令的关键组成部分.
- 为教学推理提供建议,包括使用图形组织器.
主要成果:
- 这篇文章为理解和教学推断技能提供了一个框架.
- 它强调了特殊和普通教育教师之间的合作策略.
- 提供实用建议,包括使用图形组织器,以改善阅读障碍学生的阅读理解.
结论:
- 有效的推论指导对于改善阅读障碍学生的阅读理解至关重要.
- 教师之间的合作和使用像图形组织者这样的有针对性的策略可以提高学习成果.
- 这种方法支持所有学生的包容性和公平教育的目标.
相关概念视频
Learning Disabilities
575
Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...
Dyslexia
Dyslexia is a...
575
Inductive Reasoning
65.1K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
65.1K
Data Validation
6.3K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing assessment guides are generally based on holistic models rather than medical...
6.3K
Theory of Attribution I: Correspondent Inference Theory
449
Correspondent inference theory, proposed by Jones and Davis in 1965, seeks to explain how individuals infer stable personality traits from observed behaviors. It suggests that people attribute actions to underlying dispositions rather than external circumstances, particularly when the behavior appears intentional and socially significant.Voluntary Behavior and Dispositional AttributionAccording to this theory, individuals are more likely to attribute behavior to personal traits when it appears...
449
Deductive Reasoning
64.3K
Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
For example, a researcher can deduce specific predictions...
64.3K
Prediction Intervals
3.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.3K


