Using Multivariate Adaptive Regression Splines to Predict Lexical Characteristics' Influence on Word Learning in First Through Third Graders

词汇 词汇发展 心理学 声部战术 按频率列出的单词列表 单词识别 词(群论) 语言习得 购置年龄 自然语言处理 多元分析 计算机科学 人工智能 情感(语言学) 认知心理学 语言学 音韵学 数学教育 沟通 认知 机器学习 神经科学 哲学 阅读(过程) 判决
作者
Lindsey Peters-Sanders,Houston Sanders,Howard Goldstein,Kandethody M. Ramachandran
出处
期刊:Journal of Speech Language and Hearing Research [American Speech–Language–Hearing Association]
卷期号:66 (2): 589-604
标识
DOI:10.1044/2022_jslhr-22-00165
摘要

Purpose: Identifying appropriate targets for vocabulary instruction and determining the optimal sequence for instruction continue to be a challenge. The purpose of this study is to investigate how previously studied lexical characteristics collectively influence children's word learning. Method: A secondary data analysis was conducted using the word learning results of 350 first-, second-, and third-grade students who participated in an investigation examining the effects of a supplemental vocabulary intervention. We investigated the influence of the following lexical characteristics on the learning of 377 words: word frequency, level of concreteness, phonotactic probabilities, neighborhood density, and age of acquisition using multivariate adaptive regression splines (MARS). Results: MARS modeled the influence lexical characteristics had on word learning and determined the relative importance of each variable for each grade-level model. Results revealed age of acquisition was the most important factor related to word learning in all grades, but contributions of other lexical characteristics and their level of importance differed across models. All respective models fit well, with root-mean-square error values ranging from 0.11 to 0.15 and generalized cross validation scores of 0.01 and 0.03. Conclusions: Nuanced information from the MARS analysis provides insights into how lexical characteristics affect word learning differently for children in different grade levels. This information is key to understanding the vocabulary acquisition of school-aged children. The findings from this research have the potential to inform the development of a word selection framework that will organize vocabulary targets into an appropriate sequence based on relevant predictors. Supplemental Material: https://doi.org/10.23641/asha.21899529

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
虚心的雁完成签到,获得积分10
1秒前
浩浩完成签到 ,获得积分0
2秒前
3秒前
lpx43完成签到,获得积分10
3秒前
zz2905发布了新的文献求助10
6秒前
一蓑烟雨完成签到,获得积分10
6秒前
6秒前
8秒前
崔崔发布了新的文献求助10
9秒前
ff不吃芹菜完成签到,获得积分10
10秒前
叶子完成签到,获得积分10
10秒前
唐唐完成签到,获得积分10
11秒前
123发布了新的文献求助10
11秒前
14秒前
朵朵完成签到,获得积分10
16秒前
发呆的小号完成签到 ,获得积分10
16秒前
充电宝应助原本采纳,获得10
18秒前
山260完成签到 ,获得积分10
18秒前
badada完成签到,获得积分10
18秒前
田様应助科研通管家采纳,获得10
20秒前
大模型应助科研通管家采纳,获得10
20秒前
科研通AI2S应助科研通管家采纳,获得10
20秒前
伶俐乐菱应助科研通管家采纳,获得10
21秒前
21秒前
21秒前
21秒前
shadow完成签到,获得积分10
22秒前
sen123完成签到,获得积分10
23秒前
123完成签到,获得积分20
24秒前
25秒前
NATURECATCHER完成签到,获得积分10
25秒前
温暖霸完成签到,获得积分10
25秒前
以筱完成签到,获得积分10
26秒前
NexusExplorer应助崔崔采纳,获得10
26秒前
CipherSage应助Passskd采纳,获得10
30秒前
31秒前
子睿完成签到,获得积分10
31秒前
背后雨柏完成签到 ,获得积分10
31秒前
32秒前
nanana发布了新的文献求助10
33秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Handbook of Industrial Diamonds.Vol2 1100
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038235
求助须知:如何正确求助?哪些是违规求助? 3575992
关于积分的说明 11374009
捐赠科研通 3305760
什么是DOI,文献DOI怎么找? 1819276
邀请新用户注册赠送积分活动 892662
科研通“疑难数据库(出版商)”最低求助积分说明 815022