Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…

Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…

The purpose of this study was to examine the psychometric properties of the parent-report Short Form Positive Family Support Strengths and Needs Assessment (PFS-SaNA). The PFS-SaNA is designed to reduce the time and burden of collaborative mental health screening. Parents of 245 students in the Northwest completed the screener at third, fourth,…

Introduction: We report predictive validity of the newly defined Student Risk Screening Scale -- Internalizing and Externalizing (SRSS-IE 9, with 9 items) when used for the first time by middle and high school teachers from 43 schools. Methods: The sample included 11,773 middle school-aged students representing four geographic regions, and 7,244…

Organization, time management, and planning (OTMP) skills are behavioral manifestations of executive functioning linked to academic outcomes. Interventions to improve OTMP skills have shown favorable outcomes. The Children's Organizational Skills Scale parent and teacher forms (COSS-P, COSS-T) are widely used for assessing OTMP skills, but there…

Assessing students' conceptions related to independence of events and determining probabilities from a sample space has been the focus of research in probability education for over 40 years. While we know a lot from past studies about predictable ways students may reason with well-known tasks, developing a diagnostic assessment that can be used by…

Background: Technically sound measures are necessary for accurately identifying youth at risk for depression, but many studies rely on classical test theory metrics or adult samples to evaluate measures. This study examined the use of the PHQ-8, a common and freely available pediatric depression screener, in an adolescent sample using item…

Critical consciousness represents the analysis and critique of structural inequalities, the motivation and perceived capacity to effect change, and social action to redress inequity. A wave of recent instruments measuring critical consciousness have been rigorously validated. Yet, whether these measures efficiently assess different levels of…

When designing an instructional tool and using it in pedagogical activities, it is essential that designers and users understand what pedagogical affordances and constraints the tool provides to support its successful integration into targeted pedagogical activities. Toward this end, we developed "Pedagogical Affordance Analysis (PAA)."…

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…

Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…

Although educators frequently use assessment to identify who needs supplemental instruction and if that instruction is working, there is a lack of research investigating assessment that informs what instruction students need. The purpose of the current study was to determine if a brief (approximately 20 min) task that reflects a common middle…

Virtual Environment for Social Information Processing (VESIP™) is a web-based social information processing assessment developed for youth in grades 3-7. VESIP was developed to address: (1) the broader assessment of social information processing in a variety of socially challenging situations; and (2) the need for technically strong and scalable…

This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…

We have developed assessment tasks aligned to NGSS that require students to use practices along with disciplinary core ideas to make sense of energy-related phenomena. In this paper, we present an analysis of field test data and feedback from expert reviewers on the validity and reliability of a set of elementary school tasks. These tasks focused…