Self-Regulated Learning in Essay Writing: Consistency of Strategies and Impact on Outcomes
Gloria Fern\'andez-Nieto, Kiyoshige Garc\'es, Mladen Rakovi\'c, Tongguang Li, Xinyu Li, Linxuan Zhao, Dragan Ga\v{s}evi\'c

TL;DR
This study investigates how secondary students self-regulate during online essay writing, analyzing strategy patterns over time and their impact on learning outcomes using process mining and machine learning.
Contribution
It identifies dominant SRL strategies in online essay tasks and examines their stability and relation to outcomes, revealing strategy shifts and their effects.
Findings
Three dominant SRL strategies identified.
Students often shifted to 'Read first, write next' strategy.
The 'Write intensively, read selectively' strategy was positively linked to outcomes.
Abstract
Background: Abilities for effective self-regulated learning (SRL) are critical for lifelong learning, particularly during adolescence when these skills consolidate and strongly influence future learning. Their importance has grown with the rise of online and blended education. Yet, little is known about how secondary school students self-regulate in online environments, how their SRL processes and strategies evolve, or how they affect outcomes. In secondary education, understanding these processes can reveal patterns and indicators of learning success, informing the design of online support mechanisms. Evidence from repeated-measures designs remains scarce. Objectives: This study aims to examine how secondary school students enact SRL strategies during online essay writing, how these strategies change over time, and how they relate to learning outcomes. Methods: We analysed…
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