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Corlatescu, Dragos-Georgian; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2021
Reading comprehension is key to knowledge acquisition and to reinforcing memory for previous information. While reading, a mental representation is constructed in the reader's mind. The mental model comprises the words in the text, the relations between the words, and inferences linking to concepts in prior knowledge. The automated model of…
Descriptors: Reading Comprehension, Memory, Inferences, Syntax
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Guo, Siao-Cing; Lan, Yu-Ju – Language Learning & Technology, 2023
This study aims to investigate the influence of story creation on young EFL learners' reading performance. Action research was adopted to examine the effects of two different story reading projects in a library setting in Taiwan. Each project comprised a group of 19 young EFL learner from Grades 4 to 6 (aged 10-12). The first group's activities…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Simulation
Benjamin D. Nye; Arthur C. Graesser; Xiangen Hu – Grantee Submission, 2014
AutoTutor is a natural language tutoring system that has produced learning gains across multiple domains (e.g., computer literacy, physics, critical thinking). In this paper, we review the development, key research findings, and systems that have evolved from AutoTutor. First, the rationale for developing AutoTutor is outlined and the advantages…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Software, Artificial Intelligence
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Benjamin D. Nye; Arthur C. Graesser; Xiangen Hu – International Journal of Artificial Intelligence in Education, 2014
AutoTutor is a natural language tutoring system that has produced learning gains across multiple domains (e.g., computer literacy, physics, critical thinking). In this paper, we review the development, key research findings, and systems that have evolved from AutoTutor. First, the rationale for developing AutoTutor is outlined and the advantages…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Software, Artificial Intelligence
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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Hedbring, Charles – Behavior Analyst Today, 2005
In all likelihood, currently employed therapists and teachers grew up with computer technology. Part of their computer culture included programming computers for entertainment using popular consumer software like Microsoft Basic. Within this social-educational milieu, the "FACTS+" curriculum represents one long-term project covering the…
Descriptors: Computer Software, Programming, Public Schools, Open Source Technology
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Weinberg, Alysse – CALICO Journal, 2005
The "Les Chansons de la francophonie" web site is based on French songs and was developed using HTML and JavaScript for the advanced French Comprehension Course at the Second Language Institute of the University of Ottawa. These interactive listening activities include true-false and multiple-choice questions, fill in the blanks,…
Descriptors: Reading Comprehension, Listening Comprehension, Listening, Internet
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection