DIGITAL LIBRARY
ENHANCING STUDENT LEARNING WITH ARTIFICIAL INTELLIGENCE: A BLOOM’S TAXONOMY–BASED FRAMEWORK FOR EFFECTIVE CLASSROOM INTEGRATION
Palacký University Olomouc (CZECH REPUBLIC)
About this paper:
Appears in: INTED2026 Proceedings
Publication year: 2026
Article: 0980
ISBN: 978-84-09-82385-7
ISSN: 2340-1079
doi: 10.21125/inted.2026.0980
Conference name: 20th International Technology, Education and Development Conference
Dates: 2-4 March, 2026
Location: Valencia, Spain
Abstract:
This poster examines the potential of artificial intelligence (AI) to meaningfully support learning processes in school education. Drawing on Bloom’s taxonomy as a guiding framework, it demonstrates how AI can contribute to the development of cognitive skills at all six levels—from remembering to creating. At the lower levels, AI tools assist students in acquiring foundational knowledge through clear explanations, concept summaries, vocabulary practice, and rapid feedback. As students progress to higher levels of thinking, AI can stimulate deeper understanding by offering interactive exercises, personalized examples, and scaffolded guidance tailored to individual learning needs.

In addition, the poster highlights how generative AI can enrich instructional strategies aimed at applying, analyzing, and evaluating information. AI-driven quizzes, adaptive practice tasks, and conversational tutoring systems encourage students to test their knowledge in dynamic ways, while data-driven feedback helps them identify misconceptions and refine their reasoning. Interactive educational games powered by AI provide immersive learning experiences, promoting problem-solving, decision-making, and analytical thinking. These tools not only support cognitive growth but also increase student motivation by introducing elements of challenge, personalization, and play.

Finally, the poster emphasizes the role of AI as a catalyst for creativity and active student participation. Generative AI can be used to design stories, compose texts, create visual content, or simulate historical and literary scenarios—activities that directly support the “create” level of Bloom’s taxonomy. Drawing inspiration from practical examples in language and literature education, the poster illustrates how AI can empower students to experiment, produce original outputs, and reflect on their learning processes. The overall aim is to offer educators a conceptual and practical roadmap for integrating AI into teaching in a way that is pedagogically sound, engaging, and aligned with contemporary educational goals.
Keywords:
Education, artificial intelligence, generative AI, didactics, Bloom's taxonomy.