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Kathryn S. McCarthy; Rod D. Roscoe; Laura K. Allen; Aaron D. Likens; Danielle S. McNamara – Grantee Submission, 2022
The benefits of writing strategy feedback are well established. This study examined the extent to which adding spelling and grammar checkers support writing and revision in comparison to providing writing strategy feedback alone. High school students (n = 119) wrote and revised six persuasive essays in Writing Pal, an automated writing evaluation…
Descriptors: High School Students, Automation, Writing Evaluation, Computer Software
Rod D. Roscoe; Kyrsten Novak; Amanda King; Melissa M. Patchan – Grantee Submission, 2018
Educational technologies with multimedia content can support effective learning, but these outcomes are moderated by learners' level of cognitive engagement or self-regulation. As a way to encourage deeper cognitive engagement without redesigning or redeveloping software (e.g., building more prompts, scaffolds, or automated support), this study…
Descriptors: Educational Technology, Multimedia Instruction, Student Role, Learner Engagement
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Johnson, Amy M.; Guerrero, Tricia A.; Tighe, Elizabeth L.; McNamara, Danielle S. – Grantee Submission, 2017
There is little empirical research available on the substantial problem of adult low literacy rates, and limited educational technologies are available to address distinct instructional needs of this population. This paper reports on development and testing of a version of Interactive Strategy Training for Active Reading and Thinking (iSTART) for…
Descriptors: Reading Comprehension, Reading Instruction, Intelligent Tutoring Systems, Reading Strategies
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McCarthy, Kathryn S.; Watanabe, Micah; Dai, Jianmin; McNamara, Danielle S. – Journal of Research on Technology in Education, 2020
Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have…
Descriptors: Game Based Learning, Reading Comprehension, High School Students, Educational Technology
McCarthy, Kathryn S.; Watanabe, Micah; Dai, Jianmin; McNamara, Danielle S. – Grantee Submission, 2020
Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have…
Descriptors: Game Based Learning, Reading Comprehension, High School Students, Educational Technology
Carol McDonald Connor; Henry May; Nicole Sparapani; Jin Kyoung Hwang; Ashley Adams; Taffeta S. Wood; Sarah Siegal; Cassidy Wolfe; Stephanie Day – Grantee Submission, 2022
Bringing effective, research-based literacy interventions into the classroom is challenging, especially given the cultural and linguistic diversity of today's classrooms. We examined the promise of Assessment-to-Instruction (A2i) technology redesigned to be used at scale to support teachers' implementation of the individualized student instruction…
Descriptors: Individualized Instruction, Kindergarten, Primary Education, Intervention
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Carol McDonald Connor; Henry May; Nicole Sparapani; Jin Kyoung Hwang; Ashley Adams; Taffeta S. Wood; Sarah Siegal; Cassidy Wolfe; Stephanie Day – Journal of Educational Psychology, 2022
Bringing effective, research-based literacy interventions into the classroom is challenging, especially given the cultural and linguistic diversity of today's classrooms. We examined the promise of Assessment-to-Instruction (A2i) technology redesigned to be used at scale to support teachers' implementation of the individualized student instruction…
Descriptors: Individualized Instruction, Kindergarten, Primary Education, Intervention
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Fogarty, Melissa; Coyne, Michael D.; Simmons, Leslie E.; Simmons, Deborah C.; Henri, Maria; Kwok, Oi-Man; Ware, Sharon M.; Dalton, Kevin; Williams, Kimberly A.; Wang, Huan – Journal of Research on Educational Effectiveness, 2020
In this experimental study, we examined the effects of a technology-mediated intervention to improve students' understanding of academic vocabulary and its impact on measures of vocabulary and comprehension. The Vocabulators program was implemented in two states involving 24 teachers and 200 third-grade students identified as in need of…
Descriptors: Vocabulary Development, Reading Difficulties, Reading Comprehension, Intervention
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Likens, Aaron D.; McCarthy, Kathryn S.; Allen, Laura K.; McNamara, Danielle D. – Grantee Submission, 2018
Self-explanations are commonly used to assess on-line reading comprehension processes. However, traditional methods of analysis ignore important temporal variations in these explanations. This study investigated how dynamical systems theory could be used to reveal linguistic patterns that are predictive of self-explanation quality. High school…
Descriptors: Reading Comprehension, High School Students, Content Area Reading, Sciences
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Crossley, Scott; Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2015
This study investigates a new approach to automatically assessing essay quality that combines traditional approaches based on assessing textual features with new approaches that measure student attributes such as demographic information, standardized test scores, and survey results. The results demonstrate that combining both text features and…
Descriptors: Automation, Scoring, Essays, Evaluation Methods
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Fogarty, Melissa; Clemens, Nathan; Simmons, Deborah; Anderson, Leah; Davis, John; Smith, Ashley; Wang, Huan; Kwok, Oi-man; Simmons, Leslie E.; Oslund, Eric – Journal of Research on Educational Effectiveness, 2017
In this experimental study we examined the effects of a technology-mediated, multicomponent reading comprehension intervention, Comprehension Circuit Training (CCT), for middle school students, the majority of whom were struggling readers. The study was conducted in three schools, involving three teachers and 228 students. Using a within-teacher…
Descriptors: Adolescents, Reading Comprehension, Reading Difficulties, Special Needs Students
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Li, Haiying; Chen, Qinyu; Yu, Qiong; Graesser, Arthur C. – Grantee Submission, 2015
This paper investigates how the peer agent's learning competency affects English learners' reading, engagement, system self-efficacy, and attitudes toward the peer agent in a trialogue-based intelligent tutoring system (ITS). Participants learned a summarizing reading strategy in the compare-contrast text structure in the ITS. Results detected the…
Descriptors: English Language Learners, Reading Skills, Reading Strategies, Intelligent Tutoring Systems
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Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2014
In the current study, we utilize natural language processing techniques to examine relations between the linguistic properties of students' self-explanations and their reading comprehension skills. Linguistic features of students' aggregated self-explanations were analyzed using the Linguistic Inquiry and Word Count (LIWC) software. Results…
Descriptors: Natural Language Processing, Reading Comprehension, Linguistics, Predictor Variables
Snow, Erica L.; Jackson, G. Tanner; McNamara, Danielle S. – Grantee Submission, 2014
Self-regulative behaviors are dynamic and evolve as a function of time and context. However, dynamical fluctuations in behaviors are often difficult to measure and therefore may not be fully captured by traditional measures alone. Utilizing system log data and two novel statistical methodologies, this study examined emergent patterns of controlled…
Descriptors: Educational Technology, Computer Uses in Education, Educational Games, Intelligent Tutoring Systems
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Jackson, G. Tanner; Varner, Laura K.; Boonthum-Denecke, Chutima; McNamara, Danielle S. – Grantee Submission, 2013
Educational games have the potential to provide motivating, effective training; however, the efficacy of these systems is unclear, and evaluations often fail to identify the relative impact of individual differences on learning outcomes. The current study aims to address these issues by comparing the learning gains from an educational game…
Descriptors: Educational Games, Intelligent Tutoring Systems, Program Effectiveness, High School Students
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