Personalized Online Adaptive Learning System

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The Personalized Online Adaptive Learning System (POALS) is a web-based add-on to a learning management system (LMS) developed to help learners succeed when taking online learning courses. It is made up of three components: 1) the Metacognitive Tutor to equip students with metacognitive skills needed for autonomous learning crucial to online learning, 2) the Adaptive Engine to help students manage the cognitive strain of having metacognitive tutoring alongside domain knowledge learning, and the 3) Analytics Dashboard based on student responses on the Metacognitive Tutor to give feedback to teachers on where learner interventions might be needed. In 2021, a variation of POALS' Metacognitive Tutor was added to AI Kaku, an AI-assisted writing tool also created at the PI's laboratory. In 2022, the focus had been on adaptive learning through capacity-building in gamification and virtual reality. Key takeaways from this research include which metacognitive skills can be learned independently and which ones require nudging from teachers, which algorithms can work best for knowledge tracing while considering metacognitive measures, and how text data from learner metacognitive reflections can be used for learning analytics. Research achievements for 2022 include one peer review journal paper published and 9 conference presentations for both domestic and international conferences.