Augmented Reality (AR) is increasingly being adopted in education to foster engagement and interest in a variety of subjects and content areas. However, there is a scarcity of instruments to measure the instructional impact of this innovation. This article addresses this gap in two unique ways. First, it presents validation results of the…

Media and Information Literacy (MIL) is a topic discussed by many authors in recent years. Several authors have developed measurement scales and validated them mainly among students and teachers who have media and information literacy knowledge. Although no evidence is tracked for any research conducted, MIL has been an unexplored field in the…

Psychometric Properties of the Scale of Positive and Negative Experience (SPANE) have been extensively evaluated in numerous countries, but not in Indonesia. This study investigated factor structure, reliability, measurement invariance, and validity of SPANE scores among a sample of Indonesian university students (N = 405). Multiple measurement…

As learners are able to perceive interactivity when interacting with instructors or peer learners in traditional learning environments, learners are similarly able to perceive interactivity when interacting with artificial intelligence (AI) in AI-supported learning environments. Advancements in AI, such as generative AI including ChatGPT and…

Help seeking is a critical psycho-educational structure that facilitates learning and ensures the potential and sustainability of online learning environments (OLE). This research aims to develop a scale for measuring help seeking behaviour in two contexts: (1) learning process help seeking and (2) assessment process help seeking. The motivation…

The current study aimed to create and validate a digital literacy assessment tool's quality for students in Grades 10-12 within the Thai educational context, and 2) to develop T-score norms derived from the results of the digital literacy assessment tool for students in Grades 10-12 in this context. The study followed a research and development…

Teachers' perceptions, attitudes, and opinions about students, curricula, or evaluation methods contribute to the development of students' talents. Thus, researchers often collect data from teachers to identify gifted students, determine educational practices to meet the students' needs and assess gifted education programs. Researchers often…

Children with developmental disabilities have different feeding and swallowing problems. The purposes of the present study were to develop an Arabic version of the FHI-C and to evaluate its validity, consistency, and reliability in Arabic children with developmental disabilities for assessing how feeding and swallowing problems impair the…

This study explores the implementation of Differentiated Instruction (DI) in Philippine multigrade classrooms and develops a tool to assess teacher proficiency in DI. Employing an exploratory sequential mixed-method design, the qualitative phase included focus group discussions with eight multigrade teachers, capturing their experiences and…

In this paper, the White listening subject takes the form of a standardized high-stakes reading test, the State of Texas Assessment of Academic Readiness (STAAR). Although the test does not actually listen, it 'hears' and evaluates children's responses to its questions. I present the results of the 2017 Grade 8 reading exams, from the March, May,…

This article details a two-phase study of the development and validation of a mentor attunement scale (MAS). Phase 1 involved theory-driven generation of 20 items to measure four facets of attunement. Rasch analysis of data collected from 390 youth mentors indicated problematic reverse-coded items, which were eliminated to improve scale…

A linear model is often used to find the effect of a binary treatment D on a noncontinuous outcome Y with covariates X. Particularly, a binary Y gives the popular "linear probability model (LPM)," but the linear model is untenable if X contains a continuous regressor. This raises the question: what kind of treatment effect does the…

Bayesian Knowledge Tracing (BKT) is a well-established model for formative assessment, with optimization typically using expectation maximization, conjugate gradient descent, or brute force search. However, one of the flaws of existing optimization techniques for BKT models is convergence to undesirable local minima that negatively impact…

Purpose: Assessing social communication and measuring its changes among young autistic children presents significant challenges, particularly when tracking intervention effects within short timeframes. Existing measures, mostly validated in Western contexts, may not be suitable for culturally diverse populations. Addressing this gap, the Social…

The growing diversity among test takers in second or foreign language (L2) assessments makes the importance of fairness front and center. This systematic review aimed to examine how fairness in L2 assessments was evaluated through differential item functioning (DIF) analysis. A total of 83 articles from 27 journals were included in a systematic…