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Mthokozisi Masumbika Ncube; Patrick Ngulube – Discover Education, 2025
Despite the increasing interest in data analytics applications within postgraduate education research, there remains a significant gap in research dedicated to exploring mixed methods research for such investigations. This study undertook to bridge this gap by exploring the application and use of mixed methods research to examine data analytics…
Descriptors: Data Analysis, Graduate Students, Educational Research, Mixed Methods Research
Mthokozisi Masumbika Ncube; Patrick Ngulube – Discover Education, 2025
The potential of data analytics in higher education is well acknowledged. Yet, there is a notable gap in the literature regarding the practical application of theoretical frameworks for its implementation and evaluation. While research has investigated data analytics for personalised learning, student success prediction, and programme assessment,…
Descriptors: Data Analysis, Learning Analytics, Higher Education, Postsecondary Education as a Field of Study
Francine R. Vega; Audrey Lopez; Vicky Beakley; A. Sarah Cohen; Tiffany Champagne-Langabeer – Discover Education, 2025
Introduction: Substance-use related emergencies are a serious public health concern that affects the lives of first responders and the community members they serve. In 2020, the Center for Behavioral Emergency and Addiction Research initiated an online substance use and mental health training program for first responders, adding courses over time.…
Descriptors: Data Analysis, Substance Abuse, Stress Management, Emergency Programs
Mahendra Prasad Pandey – Discover Education, 2025
Comparative education is advancing with a growing emphasis on innovative research methodologies; however, integrating these approaches to address complex global education challenges remains difficult. While traditional qualitative methods are valuable, they often fail to capture the multifaceted nature of today's educational landscape. This review…
Descriptors: Innovation, Research Methodology, Educational Research, Educational Trends
Robin Clausen – Discover Education, 2025
Early Warning Systems (EWS) are research-based analytics that use statistical models to assess dropout risk. School leaders use this analytic to consolidate data about a student and provide actionable data to craft an intervention. Little is currently known about the processes involved in school implementation or data use. By analyzing Montana EWS…
Descriptors: Dropout Prevention, Data Analysis, Principals, School Counselors
Lei Zhang – Discover Education, 2025
This systematic review presents the first synthesis of the scientific literature on estimating school and teacher/class effects on student academic performance using random-effects (RE) models with three or more levels. The review delves into the theoretical framework underpinning the estimation of educational effects, the associated statistical…
Descriptors: Academic Achievement, Teacher Effectiveness, School Effectiveness, Content Analysis
Mohammed Daoudi – Discover Education, 2025
This study provides a comprehensive analysis of researchers' perspectives on AI integration across theoretical and practical research, academic publishing, and its future role, highlighting ethical considerations shaping its adoption. The methodology used a mixed approach, using a questionnaire distributed to researchers from various scientific…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Scientific Research