We describe and illustrate factors that specify what it means for a tutor to provide different "levels of support", based on our analyses of models of the levels of support provided during human tutoring and teacher-led small group work. We then show how we used these factors to implement contingent scaffolding in a tutorial dialogue…

This paper discusses how a dialogue-based tutoring system makes decisions to proactively scaffold students during conceptual discussions about physics. The tutor uses a student model to predict the likelihood that the student will answer the next question in a dialogue script correctly. Based on these predictions, the tutor will, step by step,…

The emphasis on social-emotional competence and its importance to positive academic and nonacademic outcomes has led to a focus on identifying and implementing effective practices for supporting young children's social-emotional competence. Our work to identify, validate, and support the fidelity of implementation of evidence-based practices to…

In the e-learning context, social network analysis (SNA) can be used to build understanding around the ways students participate and interact in online forums. This study contributes to the growing body of research that uses statistical methods to test hypotheses about structures in social networks. Specifically, we show how statistical analysis…

This special issue of "School Psychology Review," entitled "Closing in on Discipline Disproportionality" examined promising approaches and critical issues related to the challenge of closing racial and ethnic gaps in schools' use of exclusionary and punitive discipline practices. In this introductory paper, we briefly reviewed…

This article describes evidence-based practices that beginning special education teachers can readily implement in special or general education settings that promote reading and content outcomes for students with disabilities as well as general education students. We describe two approaches: (a) Promoting Adolescents' Comprehension of Text (PACT),…

Item response models typically assume that the item characteristic (step) curves follow a logistic or normal cumulative distribution function, which are strictly monotone functions of person test ability. Such assumptions can be overly-restrictive for real item response data. We propose a simple and more flexible Bayesian nonparametric IRT model…

What can the Investing in Innovation (i3) grantees tell us about scaling innovative educational practices? The newly released white paper "Scaling Up Evidence-Based Practices: Strategies from Investing in Innovation (i3)" captures the experiences of nine grantees whose projects collectively have reached over 1.2 million students across…

iSTART is a web-based reading comprehension tutor. A recent translation of iSTART from English to Spanish has made the system available to a new audience. In this paper, we outline several challenges that arose during the development process, specifically focusing on the algorithms that drive the feedback. Several iSTART activities encourage…

This paper introduces StairStepper, a new addition to Interactive Strategy Training for Active Reading and Thinking (iSTART), an intelligent tutoring system (ITS) that provides adaptive self-explanation training and practice. Whereas iSTART focuses on improving comprehension at levels geared toward answering challenging questions associated with…

Manually grading the Response to Text Assessment (RTA) is labor intensive. Therefore, an automatic method is being developed for scoring analytical writing when the RTA is administered in large numbers of classrooms. Our long-term goal is to also use this scoring method to provide formative feedback to students and teachers about students' writing…

Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants. As of version 2.14.0, Stan provides full Bayesian inference for continuous-variable models through Markov chain Monte Carlo methods such as the…

Preschool and kindergarten teachers can assess and monitor their students' letter name knowledge in less than a minute per student using the freely available Quick Letter Name Knowledge assessment. The purpose of this article is to introduce the Quick Letter Name Knowledge assessment to early childhood educational practitioners. [This article was…

Funding agencies, such as National Institutes of Health and the Institute of Education Science have recognized the need to improve the uptake of empirically supported practices into everyday service delivery in real-world settings. Implementation Science is a new discipline that seeks to remedy this problem through careful investigation using…

Implementation Science has recently gained considerable attention for the discipline of Communication Sciences and Disorders as a promising means for closing the research-practice gap by proactively facilitating the use of evidence-based protocols in practice. One of the pillars of Implementation Science is collaboration between researchers and…