This article presents a ten-item short scale for measuring digital competence. The scale is based on the Digital Competence Framework for Citizens, DigComp2.1 (Carretero et al., 2017). For our surveys, we used five items from the DigCompSat study (Clifford et al., 2020) and created five new ones to address the competence areas defined by…

Recent literature in the field of L2 vocabulary assessment has advocated for the development of written receptive vocabulary tests such as Vocabulary Levels Tests (VLTs) that use: (a) meaning-recall item formats, (b) a minimum of 40 item counts per 1,000-frequency band to improve level estimates, and (c) lemmas (not word-families) as the lexical…

Universal screening is one of the most-common topics and well-accepted best practices within the field of gifted and talented education. There appears to be little disagreement that universally screening all students as part of a gifted and talented identification process results in fewer missed students. But surprisingly, there is little guidance…

Student satisfaction in online live classes is considered an important criterion to evaluate the effectiveness of this instructional system. This study aims to develop a performance evaluation index to measure the satisfaction of students who have mastered Chinese language and literature through online live classes. Guided by survey techniques and…

Media and Information Literacy (MIL) is a topic discussed by many authors in recent years. Several authors have developed measurement scales and validated them mainly among students and teachers who have media and information literacy knowledge. Although no evidence is tracked for any research conducted, MIL has been an unexplored field in the…

The resources and time constraints of assessing large classes are always weighed up against the validity, reliability, and learning outcomes of the assessment tasks. With the digital revolution in the 21st Century, educators can benefit from computer technology to carry out a large-scale assessment in higher education more efficiently. In this…

Computational thinking (CT) is a multidimensional term that encompasses a wide variety of problem-solving skills related to the field of computer science. Unfortunately, standardized, valid, and reliable methods to assess CT skills in preschool children are lacking, compromising the reliability of the results reported in CT interventions. To…

Reading self-efficacy performs a fundamental role in gaining academic achievement in college education. Review of the related literature unveils that it needs to be enriched by conducting further research on college students' reading self-efficacy. The paucity of investigations into college students' reading self-efficacy could have a connection…

The author provides a checklist for educators who are selecting technically adequate tests for identifying and referring students for gifted education services and programs. The checklist includes questions related to how the test was normed, reliability and validity studies as well as questions related to types of scores, administration, and…

The insertion of Machine Learning (ML) in everyday life demonstrates the importance of popularizing an understanding of ML already in school. Accompanying this trend arises the need to assess the students' learning. Yet, so far, few assessments have been proposed, most lacking an evaluation. Therefore, we evaluate the reliability and validity of…

Instruments for assessing secondary students' conceptual understanding of core concepts in biology are needed by educational practitioners and researchers alike. Most instruments available for secondary biology (years 9 to 12) focus only on highly specific biological concepts instead of multiple core concepts. This study describes the development…

Psychometrics is the field of designing tests and assessments to measure certain psychological concepts. It is chiefly concerned with two fundamental properties: reliability and validity. These properties are often influenced by confounding variables: other things that can influence performance but are not what you are trying to measure. Here, I…

Growth-to-standard models evaluate student growth against the growth needed to reach a future standard or target of interest, such as proficiency. A common growth-to-standard model involves comparing the popular Student Growth Percentile (SGP) to Adequate Growth Percentiles (AGPs). AGPs follow from an involved process based on fitting a series of…

Although there exists an extensive amount of research on subscores and their properties, limited research has been conducted on categorical subscores and their interpretations. In this paper, we focus on the claim of Feinberg and von Davier that categorical subscores are useful for remediation and instructional purposes. We investigate this claim…

Assuring the quality of education is a concern of learning institutions. To do so, it is necessary to have assertive learning management, with consistent data on students' outcomes. This research provides associate deans and researchers, a roadmap with which to gather evidence to improve the quality of open-ended assessments. Based on statistical…