Treffer: DAVE : integrating personalised AI tutoring for engaged learning ; Media, arts & design anthology III : what if we can be heroes, just for one day?

Traditional educational systems often struggle to cater to the diverse learning needs and requirementsof individual students. This one-size-fits-all approach can hinder unique development, disengage learners, and exacerbate existing inequalities within the classroom. This paper presents DAVE (Digital Autonomous Virtual Educator), a personalized AI tutoring system designed to seamlessly integrate within the engaging FAIE learning application used in Maltese primary schools. DAVE leverages the power of LargeLanguage Models (LLMs) and an advanced automated prompt engine to provide tailored support and adaptive feedback in mathematics. By analyzing real-time academic data from FAIE, DAVE adapts learning materials and offers personalized explanations and exercises, creating a dynamic and responsive learning environment. Through evaluations involving students in educational situations comparing DAVE with a commercially available LLM-powered chatbot, results demonstrated DAVE's significant impact on student learning outcomes, particularly for students with lower mathematical proficiency. Students utilizing DAVE achieved improved results on mathematics worksheets and reported higher user satisfaction, emphasizing DAVE's helpfulness, clear explanations, and personalized support. These findings underscore DAVE's potential to bridge the learning gap, promote educational equity, and foster a more engaging and effective learning experience for all students. The seamless integration of DAVE within the FAIE platform minimizes disruption to existing workflows and maximizes student engagement. This research helps to highlight the potential of AI-powered educational tools to transform the learning landscape, offering personalized support, mitigating misinformation, and empowering students to achieve greater academic success. ; peer-reviewed