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Talwar, Amani; Greenberg, Daphne; Tighe, Elizabeth L.; Li, Hongli – Grantee Submission, 2020
The Simple View of Reading (SVR), which posits that reading comprehension is the product of decoding and linguistic comprehension, has been studied extensively with school-age readers. However, little is known about the intricacies of the SVR for adults who struggle with reading. The current study addresses notable gaps in this literature,…
Descriptors: Reading Difficulties, Adults, Reading Comprehension, Decoding (Reading)
Kim, Young-Suk Grace; Piper, Benjamin – Grantee Submission, 2019
Background: We examined the component skills of reading comprehension (i.e., letter sound knowledge, syllable reading fluency, decoding fluency, text or oral reading fluency and listening comprehension) and their structural relations using data from three sub-Saharan African languages with transparent orthographies in a multilingual context.…
Descriptors: African Languages, Phoneme Grapheme Correspondence, Reading Fluency, Reading Comprehension
Kim, Young-Suk Grace – Grantee Submission, 2020
The authors propose an integrative theoretical model of reading called the direct and indirect effects model of reading (DIER) that builds on and extends several prominent theoretical models of reading. According to DIER, the following skills and knowledge are involved in reading comprehension: word reading, listening comprehension, text reading…
Descriptors: Models, Reading Comprehension, Word Recognition, Listening Comprehension
Graesser, Arthur C.; Greenberg, Daphne; Frijters, Jan C.; Talwar, Amani – Grantee Submission, 2021
A large percentage of adults throughout the world have low reading skills. Computer technologies can potentially help these adults improve their literacy in addition to instructors at literacy centers. AutoTutor was designed to teach comprehension strategies by implementing conversational "trialogues" in which two computer agents (tutor…
Descriptors: Reading Achievement, Learner Engagement, Reading Comprehension, Intervention
John Hollander; John Sabatini; Art Graesser; Daphne Greenberg; Tenaha O'Reilly; Jan Frijters – Grantee Submission, 2023
Adult literacy learners are characterized by their diversity, both in terms of educational histories and cognitive skill sets. Accounting for the specific strengths and weaknesses of each learner is vital to the assessment of literacy gains and optimization of educational systems. We examined pre- and post-difference scores on a component reading…
Descriptors: Adult Literacy, Adult Education, Adult Students, Student Characteristics
Daniel P. Feller; Amani Talwar; Daphne Greenberg; Ryan D. Kopatich; Joseph P. Magliano – Grantee Submission, 2023
Background: A significant portion of adults struggle to read at a basic level. Word reading (defined here as decoding and word recognition) appears to play a pivotal role for this population of readers; however, less is known about how word reading relates to other important semantic processes (e.g., vocabulary, sentence processing) known to…
Descriptors: Correlation, Word Recognition, Reading Comprehension, Reading Processes
Talwar, Amani; Greenberg, Daphne; Li, Hongli – Grantee Submission, 2018
This study explored the relations between reading comprehension and two memory capacities, short-term memory (STM) and working memory (WM), for adults who read between the third and eighth grade levels. With a sample of 407 adults from two countries, we computed correlations among measures and conducted hierarchical regression and commonality…
Descriptors: Memory, Reading Comprehension, Adults, Reading Difficulties
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Chen, Su; Lippert, Anne; Shi, Genghu; Fang, Ying; Graesser, Arthur C. – Grantee Submission, 2018
This paper describes a novel automated disengagement tracing system (DTS) that detects mind wandering in students using AutoTutor, an Intelligent Tutoring System (ITS) with conversational agents. DTS is based on an unsupervised learning method and thus does not rely on any self-reports of disengagement. We analyzed the reading time and response…
Descriptors: Learner Engagement, Intelligent Tutoring Systems, Reading Comprehension, Adult Literacy
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Kim, Young-Suk Grace; Pilcher, Heather – Grantee Submission, 2016
One's ability to listen and comprehend spoken language of multiple utterances (i.e., listening comprehension) is one of the necessary component skills in reading and writing development. In this chapter, we review theoretical frameworks and empirical evidence of listening comprehension development and improvement, and propose a direct and mediated…
Descriptors: Listening Comprehension, Listening Skills, Vocabulary, Reading Comprehension
Fang, Ying; Lippert, Anne; Cai, Zhiqiang; Chen, Su; Frijters, Jan C.; Greenberg, Daphne; Graesser, Arthur C. – Grantee Submission, 2021
A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. This type of adaptivity is possible only if the ITS has information that characterizes the learning behaviors of its users and can adjust its pedagogy accordingly. This study investigated an…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Reading Comprehension
Shi, Genghu; Lippert, Anne M.; Shubeck, Keith; Fang, Ying; Chen, Su; Pavlik, Philip, Jr.; Greenberg, Daphne; Graesser, Arthur C. – Grantee Submission, 2018
Reading comprehension is often assessed by having students read passages and administering a test that assesses their understanding of the text. Shorter assessments may fail to give a full picture of comprehension ability while more thorough ones can be time consuming and costly. This study used data from a conversational intelligent tutoring…
Descriptors: Reading Comprehension, Intelligent Tutoring Systems, Adults, Accuracy
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Shi, Genghu; Hampton, Andrew J.; Chen, Su; Fang, Ying; Graesser, Arthur C. – Grantee Submission, 2018
We developed a version of AutoTutor that helps struggling adult learners improve their comprehension strategies through conversational agents. We hypothesized that the accuracy and time to answer questions during the conversation could be diagnostic of their mastery of different reading comprehension components: words, textbase, situation model,…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Reading Difficulties
Kathryn S. McCarthy; Christian Soto; Cecilia Malbrán; Liliana Fonseca; Marian Simian; Danielle S. McNamara – Grantee Submission, 2018
Interactive Strategy Training for Active Reading and Thinking en Español, or iSTART-E, is a new intelligent tutoring system (ITS) that provides reading comprehension strategy training for Spanish speakers. This paper reports on studies evaluating the efficacy of iSTART-E in real-world classrooms in two different Spanish-speaking countries. In…
Descriptors: Reading Comprehension, Reading Instruction, Spanish Speaking, Intelligent Tutoring Systems
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Olney, Andrew M.; Pavlik, Philip I., Jr.; Maass, Jaclyn K. – Grantee Submission, 2017
This study investigated the effect of cloze item practice on reading comprehension, where cloze items were either created by humans, by machine using natural language processing techniques, or randomly. Participants from Amazon Mechanical Turk (N = 302) took a pre-test, read a text, and took part in one of five conditions, Do-Nothing, Re-Read,…
Descriptors: Reading Improvement, Reading Comprehension, Prior Learning, Cloze Procedure
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Shi, Genghu; Pavlik, Philip, Jr.; Graesser, Arthur – Grantee Submission, 2017
After developing an intelligent tutoring system (ITS), or any other class of learning environments, one of the first questions that should be asked is whether the system was effective in helping students learn the targeted skills or subject matter. In this study, we employed two educational data mining models (Additive Factor Model, AFM and…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Program Effectiveness
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