The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…

As distance learning continues to grow, ads continually appear seeking instructors to teach online. Many have experience teaching online, yet some also apply who have a solid education and great experience in a specific field--but have never taught online. This latter group of potential online instructors should not be dismissed merely because…

Presenting novices with examples and problems is an effective and efficient way to acquire new problem-solving skills. Nowadays, examples and problems are increasingly presented in computer-based learning environments, in which learners often have to self-regulate their learning (i.e., choose what type of task to work on and when). Yet, it is…

Nursing education is facing challenging demands today with the NextGen NCLEX scheduled for release in Spring 2023, updated American Association of Colleges of Nursing (AACN) Essentials, and distance learning due to COVID-19. This dissertation examines the effects the COVID-19 pandemic had on nursing students as education was disrupted just prior…

Background: Providing adaptive scaffolds to help learners develop effective self-regulated learning (SRL) behaviours has been an important goal for intelligent learning environments. Adaptive scaffolding is especially important in open-ended learning environments (OELE), where novice learners often face difficulties in completing their learning…