Digital competency mapping dataset of pre-service teachers in Indonesia.

This dataset used the Digital Competency Scale (DCS) to describe Indonesian pre-service teachers' perceptions. The DCS instrument consisted of five constructs/dimensions, which are: 1) data and information literacy, 2) communication and collaboration, 3) digital content creation, 4) safety, and 5) problem-solving, with a total of 36 items using five-point agreement Likert scale. The data was gathered from 23 education and teacher training faculties at Muhammadiyah Universities in 14 provinces across Indonesia in the academic year 2021/2022.

The relationship between school climate and students' non-cognitive skills: A systematic literature review.

The school climate plays a substantial part in student development. A positive and nurturing school climate encourages the growth of all-rounders and holistic individuals. Past literature has highlighted several domains related to the school climate, including academic performance, well-being, student engagement, attendance in school, delinquent behaviors, bullying, and school safety.

Mental health condition of vocational high school students during COVID-19 pandemic in Indonesia.

This study aimed to determine the mental health condition of vocational high school students in Indonesia during the pandemic using the Rasch analysis method with the DASS-42 instrument. A total of 1381 vocational students in Indonesia participated in this study through the questionnaire. The results showed that more than 60 % of Indonesian vocational students experienced mental health problems during the COVID-19 pandemic due to social restrictions, and online learning.

Measuring changes in hydrolysis concept of students taught by inquiry model: stacking and racking analysis techniques in Rasch model.

This research aimed to employ stacking and racking analysis techniques in the Rasch model to measure the hydrolysis conceptual changes of students taught by the process-oriented guided inquiry learning (POGIL) model in the context of socio-scientific issues (SSI) with the pretest-posttest control group design. Such techniques were based on a person- and item-centered statistic to determine how students and items changed during interventions. Eleventh-grade students in one of the top-ranked senior high schools in the eastern part of Indonesia were involved as the participants.

Online Mental Health Survey for Addressing Psychosocial Condition During the COVID-19 Pandemic in Indonesia: Instrument Evaluation.

Background: Regular monitoring of the pandemic's psychosocial impact could be conducted among the community but is limited through online media. This study aims to evaluate the self-rating questionnaire commonly used for online monitoring of the psychosocial implications of the coronavirus disease 2019 (COVID-19) pandemic.

Methods: The data were taken from the online assessment results of two groups, with a total of 765 participants.

Training and Assessing Model for the Ability of Community Health Volunteers in Anthropometric Measurement Using the Rasch Stacking and Racking Analyses.

Background: Inappropriate anthropometric measurements of infants and toddlers lead to a misclassification in nutritional status and loss of important interventions. Considering the practice conducted in this program within a country, its impact on millions of children must be considered. This study assesses the ability of community health volunteers (CHVs) before and after anthropometric training on infants and toddlers.

A Framework for Assessing High School Students' Statistical Reasoning.

Based on a synthesis of literature, earlier studies, analyses and observations on high school students, this study developed an initial framework for assessing students' statistical reasoning about descriptive statistics. Framework descriptors were established across five levels of statistical reasoning and four key constructs. The former consisted of idiosyncratic reasoning, verbal reasoning, transitional reasoning, procedural reasoning, and integrated process reasoning.