To improve the understanding of the drivers of interest, and its impact on other outcomes, researchers and educators need valid and informative measures capturing the different domains of interest. Answering the lack of interest measures in marketing education, we develop and psychometrically assess three instruments reflecting the theoretical…

The teaching and learning of quantum physics has recently become a topic of increasing interest in physics education research. In particular, the study of two-state systems is gaining importance as a means of teaching quantum physics at various educational levels. Meanwhile, a number of approaches have been developed that are also suitable for…

We analyzed item responses provided by a nationwide sample of 990 in-service U.S. middle grades mathematics teachers to a novel survey focused on fraction arithmetic. The survey targeted four components of reasoning in terms of measured quantities: "Referent units," "Reversibility," "Partitioning and iterating," and…

From the complex dynamic systems theory perspective, evaluating CALL pedagogy involves miscellaneous variables. It seems the ecosystem of the CALL environment necessitates an array of extralinguistic (Ecolinguistically situated) issues to be considered in any appraisal of the CALL milieu. To this end, this paper aims to develop and validate a…

The purpose of this study was to determine any relationship between three factors of the TPACK model and the impact of age and gender of foreign language teachers who teach in post-secondary education. The goal was to help instructional designers to develop need-based training for in-service language teaching faculty in higher education.…

Cognitive diagnostic models (CDMs) are a family of psychometric models designed to provide categorical classifications for multiple latent attributes. CDMs provide more granular evidence than other psychometric models and have potential for guiding teaching and learning decisions in the classroom. However, CDMs have primarily been conducted using…

The influx of data and the advances in computing have led to calls to update the introductory statistics curriculum to better meet the needs of the contemporary workforce. To this end, we developed the COMputational Practices in Undergraduate TEaching of Statistics (COMPUTES) instrument, which can be used to measure the extent to which computation…

Representational competence is essential for the acquisition of conceptual understanding in physics. It enables the interpretation of diagrams, graphs, and mathematical equations, and relating these to one another as well as to observations and experimental outcomes. In this study, we present the initial validation of a newly developed…

This article documents the adaptation, piloting and validation of a measure of teachers' ethical sensitivity. To create the test, we modified a measure from dentistry drawing on literature in teacher professional ethics and drew on the expertise of professional ethics scholars and practitioners. Based on the results of Rasch analysis combined with…

The aim of this study was to validate a new 5-point Likert scale questionnaire that is being developed to assess secondary school science students' beliefs about the nature of scientific knowledge and scientific inquiry. Following a review of literature, it was found that out of the many existing instruments, most of them were open-ended and none…

In light of increasing interest in mobile-assisted language learning (MALL) and recent calls for more replication studies in second language research, the present study aimed to develop and validate an attitudinal instrument to measure language learners' attitudes towards MALL. In doing so, the present study partially and conceptually replicated…

Focusing on Self-Regulated Learning, this study aims to contribute a gap in current research by developing a learning environment and domain-specific measure (i.e. vocabulary learning in Information and Communication based environments) that could be used for research and pedagogical purposes in language learning. The development and validation of…

This study investigates the role of automated scoring and feedback in supporting students' construction of written scientific arguments while learning about factors that affect climate change in the classroom. The automated scoring and feedback technology was integrated into an online module. Students' written scientific argumentation occurred…

Psychometric properties of 24 items from the fifth grade Early Childhood Longitudinal Study-Kindergarten Cohort Mathematics Teacher Questionnaire were investigated in a sample of 5,181 participants. These items asked teachers to report how often they had their classroom students engage in different mathematics content, skills and instructional…

As part of long-standing efforts to promote undergraduates' success in science, researchers have investigated the instructional strategies and motivational factors that promote student learning and persistence in science coursework and majors. This study aimed to create a set of brief measures that educators and researchers can use as tools to…