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Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Hyunju Oh – British Journal of Educational Technology, 2025
Mathematical stories can enhance students' motivation and interest in learning mathematics, thereby positively impacting their academic performance. However, due to resource constraints faced by the creators, generative artificial intelligence (GAI) is employed to create mathematical stories accompanied by images. This study introduces a method…
Descriptors: Mathematics Education, Story Telling, Readability, Artificial Intelligence
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Dahl, Amanda C.; Carlson, Sarah E.; Renken, Maggie; McCarthy, Kathryn S.; Reynolds, Erin – Language, Speech, and Hearing Services in Schools, 2021
Purpose: Complex features of science texts present idiosyncratic challenges for middle grade readers, especially in a post-Common Core educational world where students' learning is dependent on understanding informational text. The primary aim of this study was to explore how middle school readers process science texts and whether such…
Descriptors: Science Materials, Textbooks, Difficulty Level, Readability
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Xuefan Li; Tingsong Li; Minjuan Wang; Sining Tao; Xiaoxu Zhou; Xiaoqing Wei; Naiqing Guan – IEEE Transactions on Learning Technologies, 2025
With the rapid advancement of generative artificial intelligence (GAI), its application in educational settings has increasingly become a focal point, particularly in enhancing students' analytical capabilities. This study examines the effectiveness of the ChatGPT prompt framework in improving text analysis skills among students, specifically…
Descriptors: Artificial Intelligence, Technology Uses in Education, High School Students, Foreign Countries
Larissa Goulart – ProQuest LLC, 2022
Written assignments are, perhaps, one of the most common types of coursework that students will encounter in their undergraduate studies. This study describes the communicative purpose and textual and linguistic characteristics of university assignments written for content classes, taking into account variation across communicative text types and…
Descriptors: Higher Education, Academic Language, Writing Skills, Student Writing Models
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Seipel, Ben; Carlson, Sarah E.; Clinton, Virginia E. – Reading Psychology, 2017
The purpose of this study was to examine moment-by-moment fluctuations in text comprehension processing and determine how and when poor and good comprehenders differ. To do so, we reanalyzed a dataset of think-aloud protocols from 138 intermediate elementary students. Both good and poor comprehenders used a variety of processing strategies when…
Descriptors: Protocol Analysis, Text Structure, Reading Comprehension, Reader Text Relationship
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Chen, Xiaobin; Meurers, Detmar – Computer Assisted Language Learning, 2019
How can we identify authentic reading material that matches the learner's proficiency and fosters their language development? Traditionally, this involves assigning a one-dimensional label to the text that identifies the grade or proficiency level of the learners that the text is intended for. Such an approach is inadequate given that both the…
Descriptors: Computer Assisted Instruction, Second Language Learning, Language Proficiency, Readability
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Aguilar, Stephen J.; Polikoff, Morgan S.; Sinatra, Gale M. – Educational Researcher, 2019
Individuals often have misconceptions about education policy issues. Prior research has shown that refutation texts can address misconceptions in other areas (e.g., climate change, GMOs); this study is the first to explore whether participants' views on controversial education policies--the Common Core State Standards and charter schools--are…
Descriptors: Misconceptions, Educational Policy, Evidence Based Practice, Common Core State Standards
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Demir, Cüneyt – Reading Matrix: An International Online Journal, 2019
Different from other elaborate proses, academic writing needs a clear language to extend its scope of audience. Intending to be seen intellectual, competent, or more attractive, writers may inflate their manuscripts with unnecessary complicated words and pompous frills unique to specific jargons; however, such texts, called flowery writing, in an…
Descriptors: Academic Language, Difficulty Level, Jargon, Research Reports
Allen, Laura – ProQuest LLC, 2017
A commonly held belief among educators, researchers, and students is that high-quality texts are easier to read than low-quality texts, as they contain more engaging narrative and story-like elements. Interestingly, these assumptions have typically failed to be supported by the writing literature. Research suggests that higher quality writing is…
Descriptors: Writing Skills, Reader Text Relationship, Natural Language Processing, Linguistic Performance
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Geoffrey G. Pinchbeck – Vocabulary Learning and Instruction, 2019
This article examines how English as a foreign language learners might be better matched to reading texts using automatic readability analysis. Specifically, I examine how the lexical decoding component of readability might be validated. In Japan, readability has been mostly determined by publishers or by professional reading organizations who…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computational Linguistics
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Reed, Deborah K.; Kershaw-Herrera, Sarah – Journal of Experimental Education, 2016
To better understand dimensions of text complexity and their effect on the comprehension of adolescents, 103 high school seniors were randomly assigned to 4 groups. Each group read versions of the same 2 informational passages and answered comprehension test items targeting factual recall and inferences of causal content. Group A passages had a…
Descriptors: High School Seniors, Reading Materials, Difficulty Level, Readability