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Riina Kleimola; Laura Hirsto; Heli Ruokamo – Education and Information Technologies, 2025
Learning analytics provides a novel means to support the development and growth of students into self-regulated learners, but little is known about student perspectives on its utilization. To address this gap, the present study proposed the following research question: what are the perceptions of higher education students on the utilization of a…
Descriptors: Self Management, College Students, Learning Analytics, Student Development
Han Bum Lee; Sofia Bahena; Sharon L. Nichols – Education Policy Analysis Archives, 2025
The expansion of Advanced Placement (AP) programs to include students from underrepresented racial and ethnic minorities and those from less advantaged socioeconomic backgrounds has made it crucial to assess how effective AP courses and exams are for these groups. As AP programs become more popular, more high school students--especially freshmen…
Descriptors: Advanced Placement Programs, High School Students, Outcomes of Education, College Enrollment
Juan Pablo Salazar-Fernandez; Jorge Munoz-Gama; Marcos SepĂșlveda – Higher Education: The International Journal of Higher Education Research, 2025
Understanding how students with low socioeconomic status finance their tuition over time can help us comprehend the impact of students' decisions on their subsequent curricular progress, graduation, or dropout. This work presents a curricular analytics approach using process mining techniques to study educational funding trajectories as processes.…
Descriptors: Scholarships, Merit Scholarships, Student Needs, Learning Trajectories