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Na-Ra Nam; Sue-Yeon Song – Innovations in Education and Teaching International, 2025
This empirical study uses a random forest algorithm to examine the factors that influence learners' persistence in online learning at a prominent Korean institution. The data were collected from students who began their studies in Spring 2021, and encompassed a range of variables including individual attributes, academic engagement, academic…
Descriptors: Adult Students, Academic Persistence, Foreign Countries, Influences
Susanne Francisco; Anette Forssten Seiser; Anette Olin Almqvist – Professional Development in Education, 2024
It is widely accepted that professional learning is a crucial aspect of the ongoing professional practice of educators. But how should this professional learning take place, and what arrangements enable and constrain practices associated with educator learning? In this article, we explore two case studies of action research projects: one…
Descriptors: Action Research, Teacher Education, Vocational Education, Teachers
Zhang, Mo; Guo, Hongwen; Liu, Xiang – International Educational Data Mining Society, 2021
We present an empirical study on the use of keystroke analytics to capture and understand how writers manage their time and make inferences on how they allocate their cognitive resources during essay writing. The results suggest three distinct longitudinal patterns of writing process that describe how writers approach an essay task in a writing…
Descriptors: Keyboarding (Data Entry), Learning Analytics, Data Collection, Cognitive Processes