This study conducts a comprehensive quantitative evaluation of OpenAI's language model, ChatGPT 4, for grading Task 2 writing of the IELTS exam. The objective is to assess the alignment between ChatGPT's grading and that of official human raters. The analysis encompassed a multifaceted approach, including a comparison of means and reliability…

This study aims to create learning path navigation for target learners by discovering the correlation among micro-learning units. In this study, the learning path is defined as a sequence of learning units used to realize a learning goal, and a period used for realizing the learning goal is regarded as a learning cycle. Furthermore, the learning…

Purpose: Growing evidence supports the inclusion of perceptual tests that quantify the processing of temporal fine structure (TFS) in clinical hearing assessment. Many tasks have been used to evaluate TFS in the laboratory that vary greatly in the stimuli used and whether the judgments require monaural or binaural comparisons of TFS. The purpose…

This study analyzes the effect of spatial competition on public schools' efficiency in Chile, an extreme case of market-oriented reforms in the educational sector. To address this issue, we use a measure of competition that captures three major characteristics of market competition in a spatial context: the number of competitors, based on distance…

Purpose: This study aims to analyse the efficiency of public higher education institutions (HEIs) through teaching and learning (T&L), research and technology (R&T) and social responsibility (SR) activities. It also aims to assess the external factors influencing the efficiency of T&L, R&T and SR, and influence of this efficiency…

The basic objective of this study is to examine whether there is a relationship between spiritual leadership, school culture, and academic success. The data were collected by mixed method from teachers working in seven high schools and five achievement low level high schools in Sanliurfa in 2018. The data obtained from the teachers were analyzed…

Teaching of accounting is specific due to its frequently updated content, because Czech legal regulations significantly change annually, either because of the legislative or harmonization modifications, hence there is a need to constantly seek new ways to ensure a good quality of teaching in the efficient education process. The paper is based on…

Since the global research into mindfulness meditation (MM) is revealing many positive effects on everyday life for those who practise it, studying its effects on academic performance could be worthwhile. However, the duration of effects of MM on academic performance is still unclear. Thus, this study first investigates the MM influence on…

In this article reviewed problems of the criminalistic classification building of a person. In the work were used legal formal, logical, comparative legal methods. The author describes classification kinds. Reveal the meaning of classification in criminalistic systematics. Shows types of grounds of criminalistic classification of a person.…

Background: This study investigated learning outcomes and user perceptions from interactions with a hybrid intelligent tutoring system created by combining the AutoTutor conversational tutoring system with the Assessment and Learning in Knowledge Spaces (ALEKS) adaptive learning system for mathematics. This hybrid intelligent tutoring system (ITS)…

Current approaches to gifted identification suggest collecting multiple sources of evidence. Some gifted identification guidelines allow for the interchangeable use of "performance" and "nonperformance" identification methods. This multiple criteria approach lacks a strong overlap between the assessment tools; however,…

Item response theory (IRT) has gained an increasing popularity in large-scale educational and psychological testing situations because of its theoretical advantages over classical test theory. Unidimensional graded response models (GRMs) are useful when polytomous response items are designed to measure a unified latent trait. They are limited in…

The computer-adaptive multistage testing (ca-MST) has been developed as an alternative to computerized adaptive testing (CAT), and been increasingly adopted in large-scale assessments. Current research and practice only focus on ca-MST panels for credentialing purposes. The ca-MST test mode, therefore, is designed to gauge a single scale. The…

Exploring how people represent natural categories is a key step toward developing a better understanding of how people learn, form memories, and make decisions. Much research on categorization has focused on artificial categories that are created in the laboratory, since studying natural categories defined on high-dimensional stimuli such as…

Growing reliance on complex constructed response items has generated considerable interest in automated scoring solutions. Many of these solutions are described in the literature; however, relatively few studies have been published that "compare" automated scoring strategies. Here, comparisons are made among five strategies for…