Search
On-Site Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Search Tips
Change Preferences / Time Zone
Sign In
Bluesky
Threads
X (Twitter)
YouTube
This study explores the significant impact of digital technologies on self-regulated learning (SRL), focusing on the role of adaptive learning technologies (ALT) in providing feedback. Using Schmitz and Wiese's SRL model, the research examines how different types of feedback—directive, informative, and transformative—affect various phases of SRL. Over a 12-week university course, an ALT was implemented to support students' SRL by offering personalized feedback based on their motivational, emotional, and metacognitive states. The findings reveal that feedback types influence motivation, metacognitive activity, and emotions in distinct ways. While feedback generally enhances SRL, its effectiveness varies depending on the learner's emotional state, underscoring the need for personalized feedback mechanisms.