This study introduces the "ChatGPT Usage Scale for Foreign Language Learners," designed to evaluate the usage of AI chatbots in language learning. The scale was developed based on a comprehensive literature review and expert evaluations, ensuring a strong theoretical foundation and content validity. It comprises three sub-dimensions…

Background: Childhood apraxia of speech (CAS) is a complex motor speech disorder that requires careful differential diagnosis, particularly in languages where validated diagnostic tools are lacking. The Dynamic Evaluation of Motor Speech Skill (DEMSS) is a widely used tool for identifying CAS, but a Turkish version had not yet been developed.…

This research aimed to: (1) develop interactive multimedia to enhance performance on the National Educational Test at the basic level in Mathematics, (2) develop teachers' competency in interactive multimedia utilization, and (3) investigate the effects of interactive multimedia on student learning outcomes. The study involved two target groups:…

This study examines the impact of the socioconstructivist approach on the academic performance of elementary school students and teachers in Peru to evaluate its implementation within the national educational policy. A mixed approach with a descriptive and causal-explanatory design was adopted, combining documentary analysis with bibliometric…

The urgency of developing and validating sustainability competence instruments for prospective teachers in Indonesia stems from the pivotal role teachers play in embedding sustainable development principles into education. This study aims to analyze this urgency, synthesize key themes, and visualize conceptual relationships using data collected…

For STEM faculty to approach teaching as a scientist, they must develop tools for data collection and analysis of student learning outcomes. Here, we report a methodology for the development of a learning outcomes assessment instrument and statistical analysis of that instrument that can be undertaken in a short amount of time by a few faculty…

Automated speaking assessment (ASA) of second language proficiency benefits both learners and educators. However, developing these systems for less commonly taught languages like Finnish and Finland Swedish is hindered by the need for large datasets with equal representation of all proficiency levels. Traditional machine learning algorithms used…

Considerable research has been devoted to exploring aspects of higher-order thinking across various disciplines and in daily life. However, insufficient attention has been paid to synthesizing core dimensions of higher-order thinking, particularly within subject-specific contexts. Moreover, there is a lack of reliable and valid methods for…

Purpose: Using a longitudinal design, the present study evaluated the utility of the picture sequences in the Multilingual Assessment Instrument for Narratives (MAIN) for assessing Mandarin-speaking children's narrative skills from kindergarten through Grade 2 in Taiwan. Method: Participants were 27 children with typical language (TL) and 22 with…

This paper describes the adaptation and validation of a brief Big Five Inventory for upper elementary school children in China. Two independent samples, comprising 1884 and 2245 children from Grade 4 to Grade 6, were used to pilot and cross-validate the adapted questionnaire. We first explored the underlying factor structure and composite…

Engineering identity is a developing construct within the field of engineering that has been found to be a strong predictor of engineering persistence, retention, and success. While the theoretical definitions and operationalizations of the construct have matured, instruments used to measure engineering identity lack in one vital component -- they…

The rapid digital transformation of vocational education and training (VET) has underscored the need to adapt traditional assessment methods to digital formats. However, when transitioning to digital modes, it is crucial to consider factors beyond mere technical implementation, particularly the potential impact of altered presentation formats on…

Previous studies have found that pride is a frequent and important emotion in achievement contexts although it is under-researched in the second/foreign language (FL) context. Therefore, the aim of this research was to explore pride in the context of FL learning. For this purpose, we proposed a conceptual model of FL pride, drawing on previous…

This study examines how Text-to-Speech (TTS) usage patterns relate to problem-solving accuracy in the 2017 NAEP Grade 8 Mathematics assessment, analyzing data from 2,060 students who used TTS on a math item. We investigated TTS usage across three dimensions: time spent listening to different text components, frequency of activations, and sequence…

Prior research has demonstrated that students' performance on physics test items can be accurately predicted using machine learning algorithms based on their gaze behavior. These gaze data are typically recorded during item completion and capture students' visual attention to both the verbal item stem and accompanying visual representations, such…