The present work assessed a quizzing method that combines the benefits of retrieval practice and feedback, whereby learners must continue taking quizzes until they achieve a perfect score with feedback provided (i.e., "mastery quizzing"). Across four experiments (n = 952; age 18-76, M = 37.10, SD = 11.61; 50% female, 48% male, 2% other…

The Mastery Performance-Goal Orientation Test (MP-GOT) assesses performance- and mastery-orientation along a single bipolar dimension. In Study 1 (n = 198) we explored its psychometric properties and determined whether its results were related to learning. In addition, we employed Latent Profile Analysis to explore goal orientation profiles. In…

In the context of digital technologies, computational thinking (CT) is considered a key competence of primary school teachers. However, assessment tools to measure in-service teachers' CT competence are rare. The current study explains the design, development, and validation of a scale to determine the in-service teachers' mastery level of their…

To address the computational constraints of parameter estimation in the polytomous Cognitive Diagnosis Model (pCDM) in large-scale high data volume situations, this study proposes two two-stage polytomous attribute estimation methods: P_max and P_linear. The effects of the two-stage methods were studied via a Monte Carlo simulation study, and the…

An increasing number of university faculty have become interested in alternative grading systems in recent years. While there is a growing body of research on such grading systems, implementation can be a challenge for instructors. Mastery-based testing is a grading system in which students learn from feedback and have multiple attempts to…

To address needs in one US state to provide a professional development micro-credential for tens of thousands of educators, we automated an assignment scoring workflow in an online course by developing and refining an AI model to scan submitted assignments and score them against a rubric. This article outlines the AI model development process and…

Background: The proliferation of computer-based learning platforms (CBLPs) has caused an increased focus on understanding how to build scalable systems that optimize learning. Thus, CBLPs often rely on close response questions (e.g., multiple choice questions, "select all that apply," "arrange in the correct order," etc.) for…

Assessments scored with diagnostic models are increasingly popular because they provide fine-grained information about student achievement. Because of differences in how diagnostic assessments are scored and how results are used, the information teachers must know to interpret and use results may differ from concepts traditionally included in…

Cultivating responsible future citizens is of increasing importance in school education. The objective of this study is to identify the most prominent factors from the school needs-based support that enhance early adolescents' sense of responsibility, using Self-Determination Theory as the framework. A questionnaire survey was conducted with 3034…

This study aimed to extend previous literature comparing continuous methods of data collection to estimation data, but this time implementing the data collection procedures within a group discrete trial teaching format with three individuals diagnosed with autism spectrum disorder. Group discrete trial teaching was conducted in a classroom setting…

This study details the construction of parameters for generating subskill mastery math measures to be used for screening, intervention planning, progress monitoring, and proximal program evaluation. Parameters for generating assessment measures were built and tested to verify initial equivalence of generated measures using potential digits correct…

In recent years, online teaching has become extremely popular. Most institutions of higher learning are offering online courses in almost every field of study. Teaching any course online is challenging, but teaching quantitative courses, such as operations management, management science, statistics, and others, have added a more challenging…

Mastery-grading techniques such as mastery-based grading, specifications grading, and standards-based grading are assessment techniques professors are implementing in order to support a growth mindset of learning, decrease test anxiety, and help students develop a deeper understanding of course objectives. In this paper, we provide an analysis of…

The authors present the results of quantitative data and student feedback from a two-year study of the effects of a new assessment model called "mastery-based testing." In mastery-based testing, students are given problems in which they can only receive full credit for the problem after they demonstrate mastery of the objective being…

The aims of this study were to investigate levels of fundamental movement skills (FMS) proficiency and their relationship with measures of health-related physical fitness of primary school children prior to their transition to high school in Wales. The results demonstrated that overall levels of FMS proficiency with these children were low with…