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Micah Watanabe; Megan Imundo; Katerina Christhilf; Tracy Arner; Danielle S. McNamara – Grantee Submission, 2024
Reading comprehension is essential for students' ability to build knowledge. Students' comprehension abilities can be enhanced by providing students with deliberate practice and formative feedback on reading comprehension strategies. iSTART is an Intelligent Tutoring System (ITS) that is designed to provide instruction in reading strategies with…
Descriptors: Reading Comprehension, Reading Strategies, Intelligent Tutoring Systems, Reading Instruction
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Yurttas Kumlu, Gülfem Dilek; Yürük, Nejle – International Journal of Contemporary Educational Research, 2023
The study aimed to investigate cognitive and metacognitive strategies and products of cognitive and metacognitive processes that preservice science teachers engaged in while reading heat-temperature text after being exposed to no reading strategy instruction, explicit reading strategy instruction,and peer tutoring reading strategy instruction.…
Descriptors: Cognitive Processes, Metacognition, Preservice Teachers, Science Teachers
Bogdan Nicula; Marilena Panaite; Tracy Arner; Renu Balyan; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2023
Self-explanation practice is an effective method to support students in better understanding complex texts. This study focuses on automatically assessing the comprehension strategies employed by readers while understanding STEM texts. Data from 3 datasets (N = 11,833) with self-explanations annotated on different comprehension strategies (i.e.,…
Descriptors: Reading Strategies, Reading Comprehension, Metacognition, STEM Education
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Christhilf, Katerina; Newton, Natalie; Butterfuss, Reese; McCarthy, Kathryn S.; Allen, Laura K.; Magliano, Joseph P.; McNamara, Danielle S. – International Educational Data Mining Society, 2022
Prompting students to generate constructed responses as they read provides a window into the processes and strategies that they use to make sense of complex text. In this study, Markov models examined the extent to which: (1) patterns of strategies; and (2) strategy combinations could be used to inform computational models of students' text…
Descriptors: Markov Processes, Reading Strategies, Reading Comprehension, Models
Botarleanu, Robert-Mihai; Dascalu, Mihai; Allen, Laura K.; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2021
Text summarization is an effective reading comprehension strategy. However, summary evaluation is complex and must account for various factors including the summary and the reference text. This study examines a corpus of approximately 3,000 summaries based on 87 reference texts, with each summary being manually scored on a 4-point Likert scale.…
Descriptors: Computer Assisted Testing, Scoring, Natural Language Processing, Computer Software
Panayiota Kendeou; Ellen Orcutt; Tracy Arner; Tong Li; Renu Balyan; Reese Butterfuss; Micah Watanabe; Danielle McNamara – Grantee Submission, 2022
In this paper, we present iSTART-Early, an intelligent tutoring system that provides automated instruction and practice on higher-order reading comprehension strategies to 3rd and 4th grade students. iSTART-Early provides personalized, interactive, game-based strategy instruction and practice on comprehension strategies (i.e., Ask It, Reword It,…
Descriptors: Intelligent Tutoring Systems, Reading Instruction, Reading Comprehension, Reading Strategies
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Renu Balyan; Tracy Arner; Tong Li; Ellen Orcutt; Reese Butterfuss; Panayiota Kendeou; Danielle McNamara – Grantee Submission, 2022
Speech technology (automated speech recognition -- ASR and text-to-speech) offers great promise in the field of automated literacy and reading tutors for children. Students in third and fourth grades struggle with generating longer strings of text on a QWERTY keyboard because they still "hunt and peck" for AQ1 the letters and symbols…
Descriptors: Assistive Technology, Technology Integration, Intelligent Tutoring Systems, Automation
Subramonyam, Hariharan; Seifert, Colleen; Shah, Priti; Adar, Eytan – Grantee Submission, 2020
Learning from text is a "constructive" activity in which sentence-level information is combined by the reader to build coherent mental models. With increasingly complex texts, forming a mental model becomes challenging due to a lack of background knowledge, and limits in working memory and attention. To address this, we are taught…
Descriptors: Visual Aids, Natural Language Processing, Reading Strategies, Educational Technology
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Ruhil Amal Azmuddin; Nurul Nadia Muhammad; Arulselvi Uthayakumaran; Hamizah Zahari – International Society for Technology, Education, and Science, 2023
Extracting information through online reading has become second nature to ESL students in higher institutions. Although online reading is indispensable among ESL university students, they lack the ability to read effectively. The present study examines students' metacognitive online reading strategies and how those strategies reflect understanding…
Descriptors: Student Evaluation, College Students, Second Language Learning, English (Second Language)
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Nur Ainil Sulaiman; Nor Azwahanum Nor Shaid; Chua Pei Chia – International Society for Technology, Education, and Science, 2023
Nowadays, Malaysian ESL students struggle to read English texts, particularly narrative texts. Lacking in utilising and applying the suitable reading strategies are among factors that hinder reading comprehension. This study aimed to investigate the effectiveness of Question-Answer Relationship (QAR) strategy on ESL pupils' narrative reading and…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Reading Strategies
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Farhana, Effat; Rutherford, Teomara; Lynch, Collin F. – International Educational Data Mining Society, 2020
Reading to learn is a quintessentially self-regulated activity. In order to provide effective support for this activity it is necessary for us to understand how students adapt their self-regulation behaviors within disciplinary reading environments. In this paper, we utilize student response data from a digital literacy platform to examine the…
Descriptors: Reading Strategies, Self Management, Student Behavior, Science Materials
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Suh, Emily – AERA Online Paper Repository, 2020
Generation 1 learners are adult-arrival immigrants who enter U.S. education through adult ESL. Verbatim speech was collected from interviews and observations of six Generation 1 learners in their first college term. This taxonomic analysis presents learners' descriptions of their college reading. Learners held complex understandings of reading,…
Descriptors: Adults, English (Second Language), Second Language Learning, Immigrants
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McNamara, Danielle S.; Jacovina, Matthew; Allen, Laura K. – AERA Online Paper Repository, 2016
Within the context of comprehension and education, there has been a heavy emphasis placed on an individual's ability to construct a coherent and elaborated mental representation of text content. Previous research has aimed to establish the theoretical basis behind the comprehension process, as well as the most effective interventions for improving…
Descriptors: Individual Differences, Thinking Skills, Reading Comprehension, Cognitive Processes
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Suh, Emily – AERA Online Paper Repository, 2021
The domain of literacy includes multiple strategies relevant to studying in college (Alexander, 2005). This thematic analysis examines how Generation 1 learners (adult-arrival immigrants who transition from adult ESL into college) demonstrate their emergent literacy domain competence and how their literacy strategy use aligns with their identity…
Descriptors: Learning Strategies, English (Second Language), Second Language Learning, Second Language Instruction
Kilickaya, Ferit – Online Submission, 2019
In real-life contexts, when we read anything, be it a newspaper article or a supermarket brochure, we usually have some reasons and expectations about what we are going to read or we want to know something because we are just curious. Rarely do we read without any purpose and expectations, and we often know something about the topic that we are…
Descriptors: Second Language Learning, English (Second Language), Reading Attitudes, Reading Processes
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