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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
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
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
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
Linking Text Readability and Learner Proficiency Using Linguistic Complexity Feature Vector Distance
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
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
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
Goldman, Susan R.; Lee, Carol D. – Elementary School Journal, 2014
Standards for literacy in the twenty-first century raise the bar on the complexity of texts and the tasks for which they are used. The strengths and limitations of contemporary approaches to text complexity are discussed with respect to major points raised in the six articles in this special issue. In addition, four features of text that are of…
Descriptors: Difficulty Level, Readability, Readability Formulas, Reader Text Relationship
Hiebert, Elfrieda H.; Pearson, P. David – Elementary School Journal, 2014
The Common Core State Standards represent the first standards document to address whether students are able to read progressively more complex texts as they progress across the grades. This article gives an overview of the three components of the model of text complexity that were identified in Appendix A of the Standards and also were the basis…
Descriptors: State Standards, Difficulty Level, Readability, Readability Formulas
Pearson, P. David; Hiebert, Elfrieda H. – Elementary School Journal, 2014
The purpose of this article is to understand the function, logic, and impact of qualitative systems for analyzing text complexity, focusing on their benefits and imperfections. We identified two primary functions for their use: (a) to match texts to reader ability so that readers read books that are within their grasp, and (b) to unearth, and then…
Descriptors: Qualitative Research, Readability, Readability Formulas, Difficulty Level
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
Lerer, Seth – American Educator, 2015
Children's literature charts the makings of the literate imagination. It shows children finding worlds within the book and books in the world. It addresses the changing environments of family life and human growth, schooling and scholarship, publishing and publicity in which children--at times suddenly, at times subtly--found themselves…
Descriptors: Childrens Literature, Childhood Interests, Childhood Needs, Readability
Sierschynski, Jarek; Louie, Belinda; Pughe, Bronwyn – Reading Teacher, 2015
One of the key requirements of Common Core State Standards (CCSS) in English Language Arts is that students are able to read and access complex texts across all grade levels. The CCSS authors emphasize both the limitations and lack of accuracy in the current CCSS model of text complexity, calling for the development of new frameworks. In response…
Descriptors: Picture Books, State Standards, Language Arts, Text Structure