Technological advancements, particularly in artificial intelligence, significantly transform our society and work practices. Computational thinking (CT) has emerged as a crucial 21st-century skill, enabling individuals to solve problems more effectively through an automation-oriented perspective and fundamental concepts of computer science. To…

Mathematics self-efficacy is considered an important variable in mathematics education because of its links to mathematics achievement. This paper reports on the development of the "Self-efficacy-effort in Mathematics Scale" (SEEMS), an instrument that has strong theoretical and psychometric properties. Based on a sample of n = 224…

Computational thinking (CT) has been recognized as an essential part of every child's education (Wing, 2006) and Bebras contest items have been frequently used to measure CT. Think alouds has emerged as a prominent method for identifying thought processes and correcting problems with assessments. As little research has examined validity evidence…

Increasingly content area projects and programs at the K-12 level, such as in mathematics, involve a programmatic component or project emphasis on developing "teacher leadership". However, there is no consistent definition or framework for this construct and even fewer validated tools for measuring it. This paper describes our efforts in…

Short forms of psychometric scales have been commonly used in educational and psychological research to reduce the burden of test administration. However, it is challenging to select items for a short form that preserve the validity and reliability of the scores of the original scale. This paper presents and evaluates multiple automated methods…

Teacher education in Indonesia aims to prepare pre-service teachers in becoming professional teaching personnel. Two important knowledge need to be acquired are content knowledge (CK) and pedagogical content knowledge (PCK). However, it is still a challenge to measure the pre-service mathematics teachers' CK and PCK. Therefore, the first aim of…

Dynamic Measurement Modeling (DMM) is a psychometric paradigm that uses longitudinal data to estimate students' capacity to learn over the course of an educational program (i.e., growth scores). Here, we provide justification for this approach in health professions education and demonstrate its proof of concept with three time-points of USMLE Step…

The "Standards for Educational and Psychological Testing" have served as a cornerstone for best practices in assessment. As the field evolves, so must these standards, with regular revisions ensuring they reflect current knowledge and practice. The National Council on Measurement in Education (NCME) conducted a survey to gather feedback…

Far-reaching technological changes are shaping our society and the ways in which we work. A key 21st -century skill for taking advantage of those changes may be computational thinking (CT). CT aims at enabling humans to carry out more effective problem solving by utilizing concepts of computing and computer technology. For a successful integration…

In recent years, substantial improvements were obtained in the effectiveness of data driven algorithms to validate the mapping of items to skills, or the Q-matrix. In the current study we use ensemble algorithms on top of existing Q-matrix refinement algorithms to improve their performance. We combine the boosting technique with a decision tree.…

Objective: To describe the quantitative validation of a unique questionnaire to measure moral distress among social workers in long-term care facilities in Israel. Method: Overall, 216 long-term care facilities' social workers took part in the pilot study that included psychometric evaluation and construct validation. Moral distress was examined…

The purpose of this study was to begin the development of a sound psychometric instrument that could be used to measure school health within the Caribbean region. As initial steps, this study located school climate surveys (teacher version and student version) developed by USA scholars for Chicago inner city schools. In collaboration with a…

Recognizing the limitations of the existing frameworks and models applied to estimate the learning loss caused by COVID-19 across the world by different studies, and the urgent need for estimating such loss at the different education levels, this paper, employs the Education Value Chain Analysis ( EVCA) approach as a new paradigm, attempts to…

Children's development of attitudes about science begins early. However, little is known regarding how children feel about science in the preschool years. The lack of a psychologically sound instrument that can appropriately capture young children's attitude towards science is another challenge faced by early childhood science researchers. The…

In this study, it is aimed to adapt the Scientific Reasoning Scale (SRS) into Turkish. The translated form has been provided to the students enrolled at different levels together with a form in which they were requested to present what they have understood and the reason of their responses. It was seen that the explanations of students to one item…