We sought to identify the extent to which an innovative educational technology called ELCII (Early Language Comprehension Individualized Instruction) improved inference making for various populations of kindergarten students. Analyses examined student performance based on individual-level demographic characteristics (i.e., gender, race/ethnicity,…

Mathematics is a core component of cognition. Unfortunately, most young children and teachers cannot access research-based early childhood mathematics resources. Building on a quarter-century of research, we are developing and evaluating an innovative, integrated, intelligent, and interactive system of technologies based on empirically validated…

Many novice teachers learn to teach "on the job," leading to burnout and attrition among teachers and negative outcomes for students in the long term. Preservice teacher education is tasked with optimizing teacher readiness, but there is a lack of causal evidence regarding effective ways to prepare new teachers. In this paper, we use a…

Intelligent tutoring systems (ITSs) have consistently been shown to improve the educational outcomes of students when used alone or combined with traditional instruction. However, building an ITS is a time-consuming process which requires specialized knowledge of existing tools. Extant authoring methods, including the Cognitive Tutor Authoring…

Access to literacy is critical to children's futures, but formal education may be insufficient for fostering early literacy, especially in low-resource contexts. Educational technologies used at home may be able to help, but it is unclear whether or how children (and families) will use such technologies at home in rural communities, particularly…

One out of six adults in the United States possesses low literacy skills. Many advocates believe that technology can pave the way for these adults to gain the skills that they desire. This article describes an adaptive intelligent tutoring system called AutoTutor that is designed to teach adults comprehension strategies across different levels of…

The paper discusses the use of "Productive Disciplinary Engagement" (PDE) for a curricular project that features a technology-based alternate reality game (ARG) with the objective of teaching undergraduate students about the collaborative nature of STEM careers. Much of the PDE research uses PDE as either a design-principle or as an…

A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. This type of adaptivity is possible only if the ITS has information that characterizes the learning behaviors of its users and can adjust its pedagogy accordingly. This study investigated an…

Introduction: Participants' perspectives are valuable in evaluating the effectiveness of an intervention. Methods: Interviews were conducted with teachers of students with visual impairments and students who completed an intervention designed to build graphics literacy skills. Results: Six themes were identified with corresponding subthemes. The…

After developing an intelligent tutoring system (ITS), or any other class of learning environments, one of the first questions that should be asked is whether the system was effective in helping students learn the targeted skills or subject matter. In this study, we employed two educational data mining models (Additive Factor Model, AFM and…

This chapter provides an overview of the Interactive Strategy Tutor for Active Reading and Thinking-2 (iSTART-2). iSTART-2 is a game-based tutoring system designed to improve students' reading comprehension skills. It does so by providing them with instruction on how to self-explain using comprehension strategies. In this chapter, we first discuss…

We present an integrated theoretical framework guiding the use of visual narratives in educational settings. We focus specifically on the use of static and dynamic visual narratives to teach and assess inference skills in young children and discuss evidence to support the efficacy of this approach. In doing so, first we review the basis of the…

Dual eye-tracking measures enable novel ways to test predictions about collaborative learning. For example, the research project we are engaging in uses measures of gaze recurrence to help understand how collaboration may differ when students are completing various learning activities focused on different learning objectives. Specifically, we…