Teachers who demonstrate academic optimism actively design suitable pedagogical approaches, exhibit proficient classroom management skills, and effectively engage students in the learning process. Nevertheless, the current measurement tools used to assess teachers' academic optimism are constructed solely from the teachers' perspective and fail to…

This study aims to examine the psychometric properties of a scale developed to measure teachers' ability to use artificial intelligence tools in education. The scale was originally proposed as having 33 items across 5 sub-dimensions by Chat GPT-4, an AI system. To establish content validity, the scale form was submitted to expert review. An…

In recent years, the application of explainability techniques to automated essay scoring and automated short-answer grading (ASAG) models, particularly those based on transformer architectures, has gained significant attention. However, the reliability and consistency of these techniques remain underexplored. This study systematically investigates…

Education policy research aimed at eliminating racism necessitates methodological innovation that fosters both equity-centered approaches and robust empirical analysis of the systemic nature of racism. Most quantitative research in educational psychology omits the racist environment that students in K-12 education exist in (DeCuir-Gunby &…

Student participation in Indonesia in activities that develop research skills, such as OPSI ("Olimpiade Penelitian Siswa Indonesia" or Indonesian Student Research Olympiad), remains low. A preliminary study to gather teachers' perceptions regarding research skills was also conducted by the author using a questionnaire; the results…

The development of generative artificial intelligence (AI) has started a conversation on its possible uses and inherent difficulties in the field of education. It becomes essential to understand the perceptions of pre-service teachers about the integration of this technology into teaching practices as AI models including ChatGPT, Claude, and…

Evaluating students' cognitive understanding of core concepts and identifying learning path aligned with their cognitive developmental patterns are critical for enhancing conceptual mastery in chemistry. This study employed the Rule Space Model to investigate students' cognitive characteristics and learning path in comprehending the conceptual…

Assessing preservice teachers' inclusive classroom management self-efficacy (ICMSE) is critical for effectively implementing classroom management practices. Although the literature provides well-established instruments, many do not cover all domains of ICMSE. Above all, there is a notable absence of instruments assessing this multidimensional…

This study aims to develop and validate the scale on the perceptions and knowledge of trainee teachers regarding the inclusion of students with disabilities (PERKIN), designed to assess the perceptions and knowledge of pre-service teachers regarding the inclusion of students with disabilities. Grounded in the recognition of inclusive education as…

Purpose: This paper aims to introduce a novel AI learning progression for upper-elementary students and aligns assessment items across levels of each construct to gather evidence of understanding. It also validates this quantitative measure by examining these items as two subscales for psychometric properties using the Rasch model.…

Anxiety is one of the most prevalent mental health challenges in autistic children, yet there is limited evidence on effective tools to measure treatment outcomes. Previous research with non-autistic children has found that the Child Anxiety Impact Scale, Parent Version achieved good diagnostic accuracy when measuring treatment outcomes and…

Measures of autistic traits are only useful -- for pre-diagnostic screening, exploring individual differences, and gaining personal insight -- if they efficiently and accurately assess autism as currently conceptualised while maintaining psychometric validity across different demographic groups. We recruited 1322 autistic and 1279 non-autistic…

Researchers have called for undergraduate courses to update teaching frameworks based on the Modern Synthesis with insights from molecular biology, by stressing the molecular underpinnings of variation and adaptation. To support this goal, we developed a modified version of the widely used Assessing Conceptual Reasoning of Natural Selection…

Purpose: This study extends research on one of the most frequently cited school leadership frameworks by examining the psychometric properties of the instrument designed to assess many of the practices included in that framework. Design/methodology/approach: Using data collected from 1,401 teachers the study examined the instrument's measurement…

As one of the 21st-century skills, self-directed learning (SDL) has received widespread attention and has become an essential research topic in education. In this study, we examined the psychometric properties of the SDL scale (SDLS) (Lounsbury et al., 2009) with a sample of 408 Chinese undergraduates. Previous research on Chinese students has…