In the contemporary world of digitalisation, comprehensive digital competence (DC) is and should be an integral part of students' repertoire to guarantee not only academic but also professional success. However, the level and requirements for DC may vary within specific educational contexts, especially in culturally oriented institutions. This…

To provide personalized support on educational platforms, it is crucial to model the evolution of students' knowledge states. Knowledge tracing is one of the most popular technologies for this purpose, and deep learning-based methods have achieved state-of-the-art performance. Compared to classical models, such as Bayesian knowledge tracing, which…

Feedback is a powerful instructional tool for motivating learning. But effective feedback, requires that instructors have accurate information about their students' current knowledge status and their learning progress. In modern educational measurement, two major theoretical perspectives on student ability and proficiency can be distinguished.…

Scholars have lamented that current methods of assessing student performance do not align with contemporary views of learning as situated within students, contexts, and time. Here, we introduce and describe one theoretical--psychometric paradigm--termed "dynamic measurement"--designed to provide a valid representation of the way students…

Drawing upon his experience, more than 60 years ago, as a psychometric support person to a very special teacher of brain damaged children, the author of this article reflects on the productive use of educational assessments and data from them to educate - assessment in the service of learning. Findings from the Gordon Commission on the Future of…

The assessment of psychosocial strengths in children and adolescents has predominately focused on the measurement of single traits and constructs, such as grit (Christopoulou, Lakioti, Pezirkianidis, Karakasidou, & Stalikas, 2018), optimism (Oberle, Guhn, Gadermann, Thomson, & Schonert-Reichl, 2018), hope (Pedrotti, 2018), and gratitude…

This article characterizes the advances, opportunities, and challenges for psychometrics of simulation-based assessments through a lens that views assessment as evidentiary reasoning. Simulation-based tasks offer the prospect for student experiences that differ from traditional assessment. Such tasks may be used to support evidentiary arguments…

Recent advances in cognitive science and psychometrics have expanded the possibilities for the next generation of literacy assessment as an integrated domain (Bennett, 2011a; Deane, Sabatini, & O'Reilly, 2011; Leighton & Gierl, 2011; Sabatini, Albro, & O'Reilly, 2012). In this paper, we discuss four key areas supporting innovations in…

The present study aimed to represent the innovative assessments that support students' learning in STEM education through using the integrative framework for Cognitive Diagnostic Modeling (CDM). This framework is based on three components, cognition, observation, and interpretation (National Research Council, 2001). Specifically, this dissertation…

Recent years have witnessed a surge in evidence on preschoolers' emotional development as crucial for both concurrent and later well-being and mental health, and for learning and academic success. Given the importance of building such strengths, assessing emotional competence skills is important to aid early childhood educators in focusing…

The goals of a Liberal Studies education are designed to prepare citizens to live responsible, productive, and creative lives in a changing world. Ideally, a liberal education fosters well-grounded intellectuals with dispositions toward learning and an acceptance of responsibility regarding their ideas and actions. To measure the efficacy of a…

Traditional psychometric approaches towards assessment tend to focus exclusively on quantitative properties of assessment outcomes. This may limit more meaningful educational approaches towards workplace-based assessment (WBA). Cognition-based models of WBA argue that assessment outcomes are determined by cognitive processes by raters which are…

Digital games offer an appealing environment for assessing student proficiencies, including skills and misconceptions in a diagnostic setting. This paper proposes a dynamic Bayesian network modeling approach for observations of student performance from an educational video game. A Bayesian approach to model construction, calibration, and use in…

This article describes the development of the Student Engagement in School Success Skills instrument including item development and exploratory factor analysis. The instrument was developed to measure student use of the skills and strategies identified as most critical for long-term school success that are typically taught by school counselors.

This dissertation comprises three papers that propose, discuss, and illustrate models to make improved inferences about research questions regarding student achievement in education. Addressing the types of questions common in educational research today requires three different "extensions" to traditional educational assessment: (1)…