The computer-supported writing assessment (CSWA) has been widely used to reduce instructor workload and provide real-time feedback. Interpretability of CSWA draws extensive attention because it can benefit the validity, transparency, and knowledge-aware feedback of academic writing assessments. This study proposes a novel assessment tool,…

This multi-method study investigated the factors most influential when teachers seriously consider leaving the profession. Everyday across America classrooms are filled with daily and long-term substitute teachers. Education is facing a major crisis in teacher shortages. The following study tried to understand what is causing teachers to seriously…

Problem-solving frameworks have the potential to promote objective data-based decisions that increase the likelihood students are matched to appropriate evidence-based interventions. Unfortunately, cognitive biases, heuristics, and fallacies can lead to erroneous conclusions within problem-solving frameworks. Some of these effects have been…

The United States cannot meet its higher education goals without changing the way it funds public colleges and universities. Current funding models do not sufficiently advance fully scaled improvements. Instead, today's models create unfunded mandates: Colleges are required to increase completion rates, but they do not receive essential funding…

The objective of research is to explore educational significance inherent in the rule of law, and the implications of social policies pertaining to regional budgeting that safeguard salt farmers and enhance the efficiency of salt production. To accomplish these goals, a normative legal research design was employed. The findings of the study…

Background/Context: School transitions pose a variety of social-emotional and academic challenges to students, especially those who are more vulnerable due to home, health, or academic challenges (Eccles et al., 1997; Felmlee, 2018). With this awareness, a growing number of school districts have developed and implemented early warning indicator…

The paper emphasises the need to consider the social, political, and economic contexts within which educational systems operate and use Artificial Intelligence (AI). Focused on Swedish compulsory education, this study explores whether the use of AI envisioned by national authorities and educational technology companies contributes to unfairness.…

According to Maine's Education Commissioner, the pandemic has stretched both the Maine Department of Education (DOE) staff and local educational leaders. To ensure efficiency and effectiveness of limited time, the Maine DOE sought to increase communication opportunities with the field. Specifically, the Maine DOE prioritized communications on…

This study examines the integration of artificial intelligence (AI) chatbots within higher education, focusing on the early feedback from STEM faculty members in Lebanon, particularly in the context of their widespread use among students. As AI intersects with traditional scientific inquiry, its incorporation into educational frameworks introduces…

This study aimed to develop an innovative project management model for international education collaborations, focusing on the Sino-Thai partnership in Yunnan Province, China, which faces challenges such as cultural differences, communication barriers, and administrative discrepancies. Using a mixed-methods approach, the research integrated…

The rapid development of Generative Artificial Intelligence in education presents new opportunities but also raises concerns about inequality and the integrity of academic practices. This study explores its impact, trends, and risks in education through an extensive review of existing academic literature. The methodology includes a systematic…

This study aimed to explore the survival of school financing management during the COVID-19 pandemic, to assure the quality of teaching and learning continuously. This study used a qualitative design, and data collection is carried out by observing resource persons and in-depth interviews, analysis or analysis of documentation and a combination of…

A Monte Carlo algorithm is designed to predict the average time to graduate by enrolling virtual students in a degree plan. The algorithm can be used to improve graduation rates by identifying bottlenecks in a degree plan (e.g., low pass rate courses and prerequisites). Random numbers are used to determine whether students pass or fail classes by…

Predicting students' learning outcomes is one of the main topics of interest in the area of Educational Data Mining and Learning Analytics. To this end, a plethora of machine learning methods has been successfully applied for solving a variety of predictive problems. However, it is of utmost importance for both educators and data scientists to…

We are interested in how codified knowledge is produced around the globe (which inputs are used to produce scientific articles and patented inventions) and the efficiency of the process (how do the best performers produce more with the same inputs or produce the same with less inputs). Using a Data Envelopment Analysis (DEA) efficiency frontier…