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Design+ Da Vinci AI Tutor in art history learning

relied on physical or virtual constructs, exemplified by the can AI tutors enhance student engagement, accessibility,
animatronics featured in Disney’s Great Moments with Mr. and learning outcomes in the humanities? (ii) What are
Lincoln. While these representations captured the attention the technical and pedagogical limitations of implementing
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of audiences and offered engaging encounters, their capacity AI-driven educational systems in this discipline? These
for meaningful interactivity and depth was inherently questions stem from a notable gap in the literature
limited. The advent of autonomous platforms has changed surrounding the application of AI in humanities education,
this domain, enabling the development of digital personas particularly in disciplines like art history, which often rely
that transcend static representations. The integration of on rich contextual and visual materials that challenge the
historical accuracy with dynamic conversational abilities adaptability of current smart systems.
ensures that digital avatars are capable of synthesizing Existing studies extensively examine AI within
historical knowledge and embodying personality traits, science, technology, engineering, and mathematics
resulting in educational experiences that are both immersive (STEM) education, demonstrating its ability to provide
and intellectually stimulating. personalized instruction, adaptive feedback, and real-time
In recent years, the digital humanities have increasingly assessment. However, research on AI within humanities
investigated technologies like AI to revive historical education remains limited. 10,13 The Da Vinci AI Tutor
figures for modern audiences, leveraging their potential to contributes to this emerging field through the integration of
connect contemporary users with the past. As discussed in cognitive scaffolding and constructivist learning principles
Debates in the Digital Humanities 2023, the integration within an interactive, AI-driven environment. Surveys
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of intelligent systems into historical and social contexts and qualitative feedback assess how effectively the tutor
represents a significant shift in how history is presented supports individualized learning trajectories, strengthens
and engaged. Platforms such as Hello History exemplify comprehension through multimodal engagement, and
this innovation by employing advanced agents to simulate reinforces higher-order critical thinking skills. Unlike
authentic conversations with historical figures, bridging passive learning approaches, the tutor dynamically adjusts
temporal divides and enriching educational and cultural to student inquiries, offering contextualized explanations,
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engagement. These advancements signify a profound iterative reinforcement of concepts, and tailored knowledge
evolution in both pedagogy and public history, where pathways. These adaptations align with Vygotsky’s zone
emergent technologies redefine traditional modes of of proximal development, ensuring instruction remains
interaction with historical narratives. appropriately challenging without exceeding the learner’s
cognitive capacity. 21
The study presented here builds on these
developments, combining advanced tutoring systems, Adaptive instructional content fosters a more learner-
LLMs, 3D animation, and VR to create a comprehensive centered experience, a core tenet of constructivist
educational tool: The Da Vinci AI Tutor (Da Vinci Tutor education. The combination of NLP and retrieval-
by WithAVengeance - itch.io). The project began with augmented generation personalizes interactions based on
the careful design and development of a digital avatar prior student responses, encouraging active learning rather
representing Leonardo da Vinci, using the Unity game than passive content consumption. This structure aligns
engine to achieve historical fidelity while prioritizing with Anderson’s revised Bloom’s taxonomy, emphasizing
accessibility and personalized learning. Core functionalities analytical, evaluative, and creative cognitive processes
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included voice-to-voice and text-to-audio interactions, instead of rote memorization. Metacognitive prompting
Americans with Disabilities Act-compliant features, such embedded within the tutor’s conversational framework
as sign language compatibility and screen reader support, encourages reflection, correction of misconceptions, and
and immersive VR capabilities that allowed users to self-regulated learning – an approach associated with
explore historically significant environments, such as the improved academic performance in higher education. 13
Louvre. The iterative testing phase ensured that the tutor The tutor enhances retention and conceptual mastery
functioned effectively across desktop and mobile platforms, through spaced repetition and adaptive questioning
addressing technical challenges such as speech lag and techniques. The reinforcement of key concepts at optimal
avatar fidelity. Furthermore, the study investigates the intervals mitigates knowledge attrition, aligning with
integration of the bespoke tutor into art history curricula Ebbinghaus’s forgetting curve theory. The integration of
across multiple academic levels, including undergraduate historically contextualized visual references, including an
survey courses, upper-level Renaissance-focused classes, interactive recreation of the Salon Carré Louvre, supports
and graduate comprehensive exam preparation. The dual coding theory, which suggests that retention improves
research seeks to address two primary questions: (i) How when information is presented through verbal and visual

Volume 2 Issue 2 (2025) 3 doi: 10.36922/dp.8365