This study developed an Adolescents' Uncertainty Scale (AUS), with the aim of understanding individual differences in uncertainty among adolescents. In the pretest phase, 507 ninth-grade students were recruited. After exploratory factor analyses, a 25-item AUS with four dimensions--irresoluteness, instability, lack of self-knowledge, and…

The BIOSEL (Biotechnology Series Learning) model is a learning model that provides opportunities for students to assemble learning through a conceptual description of the coherent and precise steps of Biotechnology implementation. The purpose of this research was to analyze validity and practicality of the BIOSEL model to improve the concept…

Textbooks currently circulating have not been adapted to online learning systems and their contents are less interactive, less communicative, and have not been based on local content potential. This research aimed to produce digital textbooks based on Madura local content and augmented reality to improve students' scientific reasoning ability.…

Certain behaviors, especially when adopted by a majority, can help limit the magnitude of climate change. In this cross-sectional study, the stages of change from the Transtheoretical Model (TTM) are applied to environmentally-significant behavior. We develop and test a new scale -- the Climate Change Stages of Change Questionnaire (CCSOCQ) -- for…

This study investigates how sensitively the current grit measure (Grit-S) is able to reflect the differences between individuals (i.e. item discrimination) and change within individuals (i.e. sensitivity to change of items) using longitudinal data. Data from the Korean Children and Youth Panel Study 2018 of elementary (fourth grade) and middle…

A prior study developed the Computational Thinking Scale (CTS) for assessing individuals' computational thinking dispositions in five dimensions: decomposition, abstraction, algorithmic thinking, evaluation, and generalization. This study proposed the Developmental Model of Computational Thinking through validating the structural relationships…

This brief report presents a secondary analysis of responses to the Student Subjective Wellbeing Questionnaire (SSWQ) with a sample of urban middle-schoolers. Relative classification validity evidence was evaluated for two screening models derived from responses to the SSWQ: one based on the Overall Wellbeing Scale (OWS) and the other based solely…

Operationalism, representationalism, and pragmatism are three major philosophies of measurement in psychology and education. These philosophies play important roles in designing and conducting measurements, as well as interpreting results. When measurement results are available, validity evidence plays important roles in supporting the…

Large scale international assessments depend on invariance of measurement across countries. An important consideration when observing cross-national differential item functioning (DIF) is whether the DIF actually reflects a source of bias, or might instead be a methodological artifact reflecting item response theory (IRT) model misspecification.…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…

Background: Research on teaching and learning for science, technology, engineering, and mathematics (STEM) subjects has increased, and has demonstrated the importance of integrating interdisciplinary knowledge and skills. Our research model was based on the theory of planned behavior (TPB) and the data were analyzed by partial least…

Despite the call for an argument-based approach to validity over 25 years ago, few examples exist in the published literature. One possible explanation for this outcome is that the complexity of the argument-based approach makes implementation difficult. To counter this claim, we propose that the Assessment Triangle can serve as the overarching…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…

The study aimed to develop and validate an assessment framework of multidimensional scientific competencies for seventh-grade students in the northeastern region of Thailand. A total of 289 samples with three different scientific competency levels were randomly selected to participate as test-takers. The design-based research encompassing four…

The aim of this research is to examine the dimensions of junior high school teachers' readiness for implementing a flipped classroom approach and to construct and validate an instrument--the Flipped-Classroom Teacher Scale (FCTS). Two sets of samples (170 and 495 junior high school teachers) served to explore and confirm the constructs of the FCTS…