Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or nonproficiency of specified latent characteristics. These models are well suited for providing diagnostic and actionable feedback to support intermediate and formative assessment efforts. Several DCMs have been developed…

Platform-enabled research services will control, manage, and measure learner experiences within that platform. In this paper, we consider the need for research services that examine learner experiences "outside" the platform. For example, we describe an effort to conduct an experiment on peer assessment in a college writing course, where…

Artificial Intelligence (AI) based assessments are commonly used in a variety of settings including business, healthcare, policing, manufacturing, and education. In education, AI-based assessments undergird intelligent tutoring systems as well as many tools used to evaluate students and, in turn, guide learning and instruction. This chapter…

Gaming the system, characterized by attempting to progress through a learning activity without engaging in essential learning behaviors, remains a persistent problem in computer-based learning platforms. This paper examines a simple intervention to mitigate the harmful effects of gaming the system by evaluating the impact of immediate feedback on…

The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research have explored methodologies to enhance the effectiveness of feedback to students in various ways. Recent developments in Large Language Models (LLMs) have extended their utility in enhancing automated…

Generating accurate inferences is crucial for the successful comprehension of text and is a skill that needs to be supported starting in the early grades. Teachers can support inference-making during read-aloud lessons by asking inferential questions and providing scaffolding and feedback on students' inference-making. In this article, we describe…

We propose a framework designed to guide the development of automated writing practice and formative evaluation and feedback for young children (K-5 th grade) -- the early Automated Writing Evaluation (early-AWE) Framework. e-AWE is grounded on the fundamental assumption that e-AWE is needed for young developing readers, but must incorporate…

Writing is essential for success in academics and everyday tasks, but the development of writing skills depends on consistent access to high-quality instruction, extended practice, and personalized feedback. To address these demands and meet students' needs, educators and researchers have turned to technology-based writing tools. Ideally, these…

Although previous research suggests the use of classroom management strategies can support student engagement and learning, gaps in the literature still exist including the frequency of classroom management strategies in small-group instruction. The purpose of this descriptive study was to measure the frequency of paraprofessionals' (n = 94)…

This study describes the initial psychometric evaluation of the Understanding Procedures observation rubric for use as an instrument for feedback to teachers working in mathematics intervention settings. The rubric translates the research base from mathematics education and special education into practice in the form of specific items and…

The purpose of this study is to evaluate the role of the Early Language Comprehension Individualized Instruction (ELCII) program in supporting kindergarteners' learning of inference-making during the COVID-19 pandemic. Two different cohorts of pre- and in-pandemic students completed the ELCII program, which was designed to teach them how to make…

Performance measures, including standardized test scores or cognitive tasks, are commonly conceptualized as stable measures, yet are often unreliable indices of skill. We examine two contextual factors, performance pressure and feedback, that may influence the extent to which individuals demonstrate their cognitive capacity by manipulating…

The present study examined the extent to which adaptive feedback and just-in-time writing strategy instruction improved the quality of high school students' persuasive essays in the context of the Writing Pal (W-Pal). W-Pal is a technology-based writing tool that integrates automated writing evaluation into an intelligent tutoring system. Students…

The scalability and accessibility of quality professional development (PD) is an ongoing concern in the teacher education community, yet little research has been conducted on potential solutions. We aimed to address this gap by developing an interactive, virtual PD program that uses intelligent tutoring systems and provides instant feedback to…

Mental health organizations that serve youth are under pressure to adopt measurement-based care (MBC), defined as the continuous collection of client-report data used to support clinical decision making as part of standard care. However, few frameworks exist to help leadership ascertain how to select an MBC approach for a clinical setting. This…