Numerous methods exist to determine the optimal number of classes when using latent profile analysis (LPA), but none are consistently correct. Recently, the likelihood incremental percentage per parameter (LI3P) was proposed as a model effect-size measure. To evaluate the LI3P more thoroughly, we simulated 50,000 datasets, manipulating factors…

Literature screening is the process of identifying all relevant records from a pool of candidate paper records in systematic review, meta-analysis, and other research synthesis tasks. This process is time consuming, expensive, and prone to human error. Screening prioritization methods attempt to help reviewers identify most relevant records while…

Validation is needed for any newly developed model or framework because it requires several real-life applications. The investment made into e-learning in medical education is daunting, as is the expectation for a positive return on investment. The medical education domain requires data-wise implementation of e-learning as the debate continues…

A strong predictor of children's language is performance on non-word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A…

The Cross-Classified Mixed Effects Model (CCMEM) has been demonstrated to be a flexible framework for evaluating reliability by measurement specialists. Reliability can be estimated based on the variance components of the test scores. Built upon their accomplishment, this study extends the CCMEM to be used for evaluating validity evidence.…

The research's aim is to assess the services offered by Greek public secondary education schools, with the intention of identifying any discrepancies between students' expectations and their perceptions of the final services provided. The gaps discovered indicate that the school's educational services are not meeting student expectations in the…

In secure web application development, the role of web services will not continue if it is not trustworthy. Retaining customers with applications is one of the major challenges if the services are not reliable and trustworthy. This article proposes a trust evaluation and decision model where the authors have defined indirect attribute, trust,…

To identify the dominant cultural models among parents transmitting faith to their children, we find few methodological guidelines to guide coding and analysis of semi-structured interviews. We thus developed a three-phase procedure for our research team. Phase-one follows Campbell et al. by unitizing on meanings rather than words/pages, including…

Owing to the extreme importance of evaluating the credibility of existing scientific websites, the present study sets out to measure a proposed model concerning the views and preferences of university students in Iran, when evaluating information. Data were collected by administrating a highly validated questionnaire among 487 students in ten top…

This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…

In this study, researchers compared the concordance of teacher-level effectiveness ratings derived via six common generalized value-added model (VAM) approaches including a (1) student growth percentile (SGP) model, (2) value-added linear regression model (VALRM), (3) value-added hierarchical linear model (VAHLM), (4) simple difference (gain)…

This study explores the role of artificial intelligence (AI) in K-12 student assessment practices, focusing on educators' use of AI tools. Through content analysis of active Facebook groups dedicated to AI in education, the authors examined how educators integrate AI into assessment across various grade levels and subjects. Using the Technology…

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,…

Quality assurance and quality development represent central challenges of higher education institutions (HEIs). In this context, the term quality culture has gained increasing attention. Quality culture refers to an organizational culture, which emphasizes the importance of continuous quality improvement, shared attitudes, and commitment towards…

Purpose: This study aims to assess the validity and reliability of the Psycho-B'GREAT Module developed according to the ASSURE's Module Development Model. Method: The content validity of the Psycho-B'GREAT Module was assessed by ten experts in the fields related in teaching and learning (T&L) and biology education. In testing the…