To construct dialogue-based Intelligent Tutoring Systems (ITS) with sufficient pedagogical expertise, a trendy research method is to mine large-scale data collected by existing dialogue-based ITS or generated between human tutors and students to discover effective tutoring strategies. However, most of the existing research has mainly focused on…

Investigators often rely on the proportion of correct responses in an assessment when describing the impact of early mathematics interventions on child outcomes. Here, we propose a shift in focus to the relative sophistication of problem-solving strategies and offer methodological guidance to researchers interested in working with strategies. We…

Developing models and using mathematics are two key practices in internationally recognized science education standards such as the Next Generation Science Standards (NGSS, 2013). In this paper, we used a virtual performance-based formative assessment to capture students' competencies at both "developing" and "evaluating"…

Understanding fraction magnitudes is foundational for later math achievement. To represent a fraction "x/y," children are often taught to use "partitioning": break the whole into "y" parts, and shade in "x" parts. Past research has shown that partitioning on number lines supports children's fraction…

Converging evidence suggests that traditional domain-general working memory (WM) training does not have reliable far-transfer effects, but produces reliable, modest near-transfer effects on structurally similar untrained tasks. Given the critical role of WM in academic development, WM training that incorporates task-specific features may maximize…

In the context of the critical need to support children's early language development, teacher knowledge may enhance children's opportunities to build linguistic skills. In this study we explored how early childhood teachers' (n = 86) pedagogical content knowledge for language and vocabulary, and their book-reading implementation across the school…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…

Implementation science examines the process of how programs are put into action to produce outcomes and represents an emerging approach for analyzing the utilization of evidence-based practices (EBPs) in school settings. When EBPs are implemented effectively, they result in positive student outcomes. The "Self-Determined Learning Model of…

There is limited research examining professional development for general and special education teachers implementing self-determination interventions. This study presents outcomes of a 2-day professional development training for the Self-Determined Learning Model of Instruction (SDLMI) for general and special educators guided by key elements of…

Students in the middle grades are expected to read complex texts to acquire content knowledge, particularly in social studies/history and science. Most students with disabilities are included in social studies/history and science classes and yet read below grade level, requiring significant support with accessing text knowledge. Question…

Self-determination, defined by acting as the causal agent in one's life, plays a critical role in the transition from high school to postsecondary education, employment, and community living for all students, including students with significant support needs. The "Self-Determined Learning Model of Instruction" (SDLMI) is a teaching model…

To promote and enhance self-determination, the Self-Determined Learning Model of Instruction (SDLMI) was developed for teachers to teach students the skills needed to engage in goal-directed actions. The SDLMI was originally designed to be delivered by teachers, but technologies are emerging that can provide an alternative medium to delivering…

Intelligent Tutoring Systems (ITSs) are aimed at promoting acquisition of knowledge and skills by providing relevant and appropriate feedback during students' practice activities. ITSs for literacy instruction commonly assess typed responses using Natural Language Processing (NLP) algorithms. One step in this direction often requires building a…

The Self-Determined Learning Model of Instruction (SDLMI) is an evidence-based model of instruction implemented by a facilitator (e.g., general or special education teacher, family member, related service professional, transition professional) to enable students to learn to self-regulate problem solving in service to a goal. Students learn how to…

The ability to automatically assess the quality of paraphrases can be very useful for facilitating literacy skills and providing timely feedback to learners. Our aim is twofold: a) to automatically evaluate the quality of paraphrases across four dimensions: lexical similarity, syntactic similarity, semantic similarity and paraphrase quality, and…