Reading assessments are essential for enhancing students' comprehension, yet many EdTech applications focus mainly on outcome-based metrics, providing limited insights into student behavior and cognition. This study investigates the use of multimodal data sources -- including eye-tracking data, learning outcomes, assessment content, and teaching…

This study examined the integration of artificial intelligence-powered speech recognition technology within early reading assessments in Morocco's Teaching at the Right Level (TaRL) program. The purpose was to evaluate the effectiveness of an automated speech recognition tool compared to traditional paper-based assessments in improving reading…

Purpose: This study examines the impact of the Amira Learning AI-powered reading platform on literacy outcomes for elementary students in 12 school districts in Louisiana during the 2023-24 school year. Methodology: Employing a quasi-experimental design aligned with the Every Student Succeeds Act Level II (Moderate Evidence) standard, a…

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…