Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…

Background: Even though monitoring and control enactment are key aspects of self-regulated learning (SRL), Adaptive learning technologies (ALTs) may reduce the need for learners to monitor and control their learning. Personalized dashboards are effective in supporting learners' monitoring and can potentially support control behaviour. Allowing…

Introductory Psychology courses in Higher Education lack application of knowledge in solving work-based problems. We develop and study mini-games that support a more active and experiential way of learning to increase professional awareness. This paper describes the instructional design and the factors under study: learner control and…