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…

Higher education students utilize Open AI tools such as ChatGPT as learning aids when confronted with academic challenges during their learning journey. Prior work has established that adaptive and maladaptive forms of academic help-seeking are closely related to achievement goals, which could lead to different patterns of using ChatGPT as a…

Self-efficacy, the beliefs learners hold about what they can do, develops largely from whether learners perceive and interpret their experiences as successful (i.e., perceived mastery). In mathematics, the relationship between perceived mastery and self-efficacy has been well established. Less is known about the factors that may influence…

In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…

This study uses a person-centered approach to investigate construction workers' learning at work, focusing on their approaches to learning, self-efficacy beliefs and work engagement and how these vary according to their goal orientation profiles. Survey data were collected from Finnish construction sector employees (N = 1,280) in June 2021. The…