Simulated standardized patients (SPs) are trained individuals who pose incognito as people seeking treatment in a health care setting. With the method's increasing use and popularity, we propose some standards to adapt the method to contextual considerations of feasibility, and we discuss current issues with the SP method and the experience of…

Accounting education has undergone significant changes over the past 20 years. A curriculum that focuses on GAAP principles and ledger-based accounting rules is being quickly replaced by technology. It is necessary to develop a curriculum that enables universities to prepare students with critical job skills for entry-level accounting positions…

To date, research on mixed-reality simulation (MRS) has focused on various skills including applied behavior analysis, but studies have not evaluated the role of preservice teachers' perceived knowledge, confidence, usefulness, or actual practice related to data collection. To address this gap, we conducted two separate MRS studies, one for…

As the field of data science evolves with advancing technology and methods for working with data, so do the opportunities for re-conceptualizing how we teach undergraduate statistics and data science courses for majors and non-majors alike. In this paper, we focus on three crucial components for this re-conceptualization: Developing research…

Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. This study explored EDM in online learning publication trends and focuses. It involved a bibliometric analysis of 615 scholarly works related to EDM in online…

This small-scale, qualitative study uses educational design research to explore how focusing on argumentation may contribute to students' learning to engage in inquiry independently. Understanding inquiry as the construction of a scientifically cogent argument in support of a claim may encourage students to develop personal reasons for adhering to…

The accountability era has produced school grading systems that purport to evaluate school effectiveness yet utilize hegemonic formulas that label low-scoring schools and neighborhoods, depriving them of incentive monies tied to their school grades. This quantitative study analyzed the publicly available data of 106 elementary schools in one large…

The major challenge of most basic schools is inadequate educational resources despite a conscious effort to constantly provide. This is a result of inaccurate data management leading to inappropriate predictions for effective planning. The actual efficiency of a system is determined by its ability to predict real-life data with speed and accuracy.…

As part of the cycle for reporting on the implementation of the Scottish Attainment Challenge (SAC), attainment advisors produce reports triannually. This process ensures there is a continuous narrative where next steps are identified and progress made towards them. This summary report is an overview of the analysis of the progress of all 32 local…

Students' academic performance prediction is one of the most important applications of Educational Data Mining (EDM) that helps to improve the quality of the education process. The attainment of student outcomes in an Outcome-based Education (OBE) system adds invaluable rewards to facilitate corrective measures to the learning processes.…

We contextualize the magnitude of teacher attrition during the pandemic, including from the 2020-2021 school year to the 2021-2022 school year, using longitudinal data on teachers in Washington since the 1984-1985 school year. The teacher attrition rate after the 2020-2021 school year (7.3%) increased by almost one percentage point from the…

This study aims to advance the development of the mathematical processing skills of students by suggesting the use of digital geography games. This includes an analysis of its contribution to the standard mathematics curriculum in areas such as data processing as well as its contribution to social studies curricula in areas such as map literacy,…

Purpose: The purpose of this paper is to examine how higher education students think about educational technologies they have previously used -- and the implications of this understanding for their awareness of datafication and privacy issues in a postsecondary context. Design/methodology/approach: The authors conducted two surveys about students'…

This study explores the current understanding of data security among students within the Malaysian higher education system. The focus is on evaluating how well the respondents grasp two critical aspects: knowledge related to securing social media platforms and a broader comprehension of data security measures. To gather insights, a meticulously…

Institutional researchers (IRs) at higher education institutions fulfill a crucial role in identifying, processing, and disseminating data to administrators. Identifying effective ways for leaders to make sense of data is essential to advancing the most critical institutional issues, including achieving equitable student outcomes. However, leaders…