Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…

Intensive longitudinal data has been widely used to examine reciprocal or causal relations between variables. However, these variables may not be temporally aligned. This study examined the consequences and solutions of the problem of temporal misalignment in intensive longitudinal data based on dynamic structural equation models. First the impact…

This study aims to determine the process of creating the psychoeducational module for preventing child marriage for high school girls in Wajo Regency, Indonesia and to find out the product specification aspects of the psychoeducational module for preventing child marriage for high school girls in terms of the accuracy, feasibility and usefulness…

Institutional researchers are acutely aware of the systemic inequities pervasive throughout higher education in the United States because the data that we collect, analyze, visualize, and disseminate quantifies and reveals them. As calls for addressing issues of equity have intensified across campuses, the question of how institutional research…

Artificial Intelligence (AI) powered translation influxes in the translation industry. Yet, questions have arisen about the quality of AI-powered translation systems (AIPTSs). Therefore, this study aims to evaluate the translation quality generated by ChatGPT for the Farewell Sermon. Using House's (2015) model of translation quality assessment…

High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…

The present study seeks to explore the mathematical connections that 13-14-year-old secondary school students establish when solving area tasks. Emphasis is placed on different mathematical objects, and the connections between them, that allow students to successfully solve the tasks. The study follows a mixed methodology using qualitative and…

Accuracy of memory is critical in legal and clinical contexts. These contexts are often linked with high levels of emotional distress and social sources that can provide potentially distorting information about stressful events. This study investigated how distress was associated with susceptibility to misinformation about a trauma analogue event.…

Second language acquisition (SLA) researchers have long searched for patterning in the development of linguistic elements (e.g., grammar and morphology). However, little attention has been given to the examination of systematicity in vocabulary acquisition, limiting our understanding about how overall vocabulary is learnt. The current study…

Health professions educators are increasingly encouraged to implement "desirable difficulties" in their instruction, such as interleaved practice. In practical context, however, there is limited empirical evidence regarding the (meta)cognitive benefits of desirable difficulties, and interleaved practice in particular, posing a challenge…

Creative problem-solving skills are essential for navigating complex, non-routine challenges, enabling individuals to create unique goals, execute innovative procedures and generate original outcomes. While the link between metacognitive skills and the creativity of outcomes was established only recently, further exploration is required to…

Technological Advances in Artificial Intelligence (AI) have Brought forth the Potential for Models to Assist in Academic Writing. However, Concerns Regarding the Accuracy, Reliability, and Impact of AI in Academic Writing have been Raised. This Study Examined the Capabilities of GPT-4, a state-of-the-art AI Language Model, in Writing an American…

This article traces the history of census undercount and its importance to civil rights. The Constitution mandates a census and calls for Congress to use the results to apportion seats in Congress and the Electoral College. A substantial undercount in the census will misallocate congressional and electoral college votes. More recently,…

Scientific creativity plays an essential role in science education as an advanced cognitive ability that inspires students to solve scientific problems inventively. The cultivation of scientific creativity relies heavily on effective assessment. Typically, human raters manually score scientific creativity using the Consensual Assessment Technique…

Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…