This study aims to develop Nature of Science (NOS) measurement instrument for high school students in the Mathematics and Natural Sciences program using COVID-19 cases that had occurred since the end of 2019. This study also attempts to validate test items with the Rasch model approach. The participants in this study are 194 high school students…

This study was aimed at developing and validating a scale that measures the emotions of secondary school students toward Biology. Before selecting a particular subject, it is very important to measure student's emotions toward that subject. The emotions were measured in two academic contexts: class-related and learning-related situations. The…

This study aimed to develop an instrument with acceptable validity and reliability for assessing two key aspects among science teachers: their self-efficacy in teaching science through an integrated STEM approach (STSIS) and their outcome expectancy when employing this approach (OETSIS), which we refer to as TSTSIS. We administered this tool to…

Student engagement in science classroom is an essential element for delivering effective instruction. However, the popular method for measuring students' emotional learning engagement (ELE) relies on self-reporting, which has been criticized for possible bias and lacking fine-grained time solution needed to track the effects of short-term learning…

A major challenge to promoting effective early science and engineering education is the lack of reliable and validated assessments that align with current educational guidelines for science and engineering. Existing early science and engineering assessments either cover a narrow range of concepts and practices and/or are not designed in a way to…

This study presents the development and validation of a novel multiple-choice test designed to assess university students' conceptual understanding of electric field, force, and flux. The test of understanding of electric field, force, and flux was constructed based on the results of previous studies using a phenomenographic approach to classify…

Classical automated test assembly (ATA) methods assume fixed and known coefficients for the constraints and the objective function. This hypothesis is not true for the estimates of item response theory parameters, which are crucial elements in test assembly classical models. To account for uncertainty in ATA, we propose a chance-constrained…

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.…

Scientific inquiry ability is closely related to the process of hands-on inquiry practice. However, its assessment is often separated from this practice due to the limitation of technical basis and labor cost. The development of multimodal data analysis provides a new opportunity to realize automated assessment based on hands-on practice.…

Research-based multiple-choice questions implemented in class with peer instruction have been shown to be an effective tool for improving students' engagement and learning outcomes. Moreover, multiple-choice questions that are carefully sequenced to build on each other can be particularly helpful for students to develop a systematic understanding…

The Expectancy-Value model has been extensively used to understand students' achievement motivation. However, recent studies propose the inclusion of cost as a separate construct from values, leading to the development of the Expectancy-Value-Cost model. This study aimed to adapt Kosovich et al.'s ("The Journal of Early Adolescence", 35,…