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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
Roscoe, Rod D.; Allen, Laura K.; McNamara, Danielle S. – Journal of Educational Computing Research, 2019
A critical challenge for computer-based writing instruction is providing appropriate and adaptive practice. The current study examined three modes of computer-based writing practice with the goal of identifying those with the greatest learning and motivational value. High school students learned about writing strategies by studying lessons within…
Descriptors: High School Students, Writing Instruction, Computer Assisted Instruction, Writing Strategies
Roscoe, Rod D.; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2018
A critical challenge for computer-based writing instruction is providing appropriate and adaptive practice. The current study examined three modes of computer-based writing practice with the goal of identifying those with the greatest learning and motivational value. High school students learned about writing strategies by studying lessons within…
Descriptors: High School Students, Writing Instruction, Computer Assisted Instruction, Writing Strategies
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McCarthy, Kathryn S.; Soto, Christian Marcelo; Gutierrez de Blume, Antonio P.; Palma, Diego; González, Jordan Ignacio; McNamara, Danielle S. – International Journal of Computer-Assisted Language Learning and Teaching, 2020
iSTART-E is a web-based intelligent tutor developed for Spanish-speaking students to improve their reading comprehension through self-explanation strategy training. This study examined the effects of a blended comprehension strategy intervention on students' reading comprehension skill. Chilean high school students (N = 22) completed nine iSTART-E…
Descriptors: Reading Comprehension, High School Students, Computer Assisted Instruction, Teaching Methods
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Sullins, Jeremiah; Acuff, Samuel; Neely, Daniel; Hu, Xiangen – Journal of Educational Multimedia and Hypermedia, 2018
Is it possible to teach a learner to become a better question asker in as little as 25 minutes? Given that many teachers and school districts do not have the resources to provide individualized question training to students, the current study sought to explore the benefits of using animated pedagogical agents to teach question-asking skills in a…
Descriptors: Prior Learning, Questioning Techniques, Training, Intelligent Tutoring Systems
Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2015
This study builds upon previous work aimed at developing a student model of reading comprehension ability within the intelligent tutoring system, iSTART. Currently, the system evaluates students' self-explanation performance using a local, sentence-level algorithm and does not adapt content based on reading ability. The current study leverages…
Descriptors: Reading Comprehension, Reading Skills, Natural Language Processing, Intelligent Tutoring Systems
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Yang, Yu-Fen; Hung, Ya-Chen – Educational Technology & Society, 2009
The purpose of this study is to examine readers' comprehension as they develop their mental representation of reference in four sequential online texts. A total of 92 college students from three reading classes were recruited to complete the following steps in each text: (1) identify references, (2) draw the relationships between references, and…
Descriptors: Feedback (Response), Reading Comprehension, Reading Tests, College Students