Predicting Expository Text Processing: Causal Content Density as a Critical Expository Text Metric

Author:

Follmer D. Jake1ORCID,Li Ping2ORCID,Clariana Roy3

Affiliation:

1. Department of Counseling and Learning Sciences, College of Education and Human Services, West Virginia University, Morgantown, West Virginia, USA

2. Department of Chinese and Bilingual Studies, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

3. Department of Learning and Performance Systems, The Pennsylvania State University, University Park, Pennsylvania, USA

Funder

National Science Foundation

Publisher

Informa UK Limited

Subject

Linguistics and Language,Developmental and Educational Psychology,Education

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Text Validity Application Forming Functional and Non-Functional Requirements Based on Documentation Analysis on TESA Applications;2023 International Conference on Electrical and Information Technology (IEIT);2023-09-14

2. Performance of different KNN models in prediction english language readability;2022 2nd International Conference on Computing and Machine Intelligence (ICMI);2022-04-15

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