Scoring high-dimensional assessments (e.g., > 15 traits) can be a challenging task. This paper introduces the multilabel neural network (MNN) as a scoring method for high-dimensional assessments. Additionally, it demonstrates how MNN can score the same test responses to maximize different performance metrics, such as accuracy, recall, or…

The paper focuses on findings from research that investigated teachers' and key stakeholders' perspectives on the use of Reception Baseline Assessment. Data collection was carried out in 2021-2022, which was the year this assessment was introduced into Reception classes in England. In total, 70 teachers and key stakeholders from 47 Local…

Assessment refers to a broad array of approaches for measuring or evaluating a person's (or group of persons') skills, behaviors, dispositions, or other attributes. Assessments range from standardized tests used in admissions, employee selection, licensure examinations, and domestic and international large-scale assessments of cognitive and…