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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
What to Do and What to Avoid on the Use of Gamified Intelligent Tutor System for Low-Income Students
Joaquim, Sivaldo; Bittencourt, Ig Ibert; de Amorim Silva, Rafael; Espinheira, Patrícia Leone; Reis, Marcelo – Education and Information Technologies, 2022
Educational indicators have revealed that a significant portion of Brazilian Basic Education students have a less than satisfactory skill level in reading and solving Mathematics problems. Despite several proven benefits, adaptive learning technologies are scarcely used with low-income students in public schools' due unavailable resources and lack…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Teaching Methods
Christopoulos, Athanasios; Sprangers, Pieter – Cogent Education, 2021
This study analyzes the integration of an educational technology platform and relates the difficulties faced amidst the Covid-19 pandemic. Initially, we sought to identify the chief barriers educators face when considering the adoption of Information and Communication Technology (ICT). Factors influencing primary and secondary education teachers'…
Descriptors: Educational Technology, Technology Integration, Information Technology, COVID-19
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

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