GenAI-Enhanced Learning: A Framework to Align the Third Level of Bloom's Taxonomy

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Publicado en:European Conference on e-Learning (Oct 2025), p. 440-449
Autor principal: Toulali, Hafsa
Otros Autores: Retbi, Asmaâ
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Academic Conferences International Limited
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Acceso en línea:Citation/Abstract
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245 1 |a GenAI-Enhanced Learning: A Framework to Align the Third Level of Bloom's Taxonomy 
260 |b Academic Conferences International Limited  |c Oct 2025 
513 |a Conference Proceedings 
520 3 |a Since the first release of ChatGPT, every aspect of today's world has been impacted. Artificial intelligence is no longer confined to high-tech companies or large industrial R&D departments. Countless smartphone applications are being continuously launched and immediately adopted by end users. In view of this, ethical concerns have been raised in several studies, emphasizing the urgent need for the responsible use of generative AI. The education system is no exception. Students across academic levels now use generative AI for essay writing, coding, and project-based assignments. Pedagogical and EdTech researchers worldwide express increasing concern about the future of education. However, the detrimental effects of using these tools have become evident. Recent studies have observed a significant decline in students' competencies in fundamental subjects such as mathematics and languages. Furthermore, the role of teachers extends beyond presenting information to students. Teaching is a complex process that involves providing learner support, closely guiding students, and offering learning paces tailored to their needs. While AI cannot replace educators, action plans are needed to adapt to the undeniable presence of generative AI in education. Thus, this study asks how we can harness the power of AI to assist teachers to design classroom activities, rather than focusing on student use of these tools or imposing bans in schools and universities. We therefore explored the alignment of Bloom's Taxonomy levels with AI-enhanced learning, specifically leveraging the third level of Bloom's Taxonomy, "Applying". This paper introduces a framework to assist teachers in designing workshops and learning activities. By applying acquired knowledge through AI-powered simulations, and grounding this approach in Kolb's Experiential Learning Theory, the framework aims to reinforce cognitive domain concepts from Bloom's Taxonomy while placing experiential learning at its core and offering substantial added value to the learning experience. 
653 |a Pedagogy 
653 |a Students 
653 |a Workshops 
653 |a Blooms taxonomy 
653 |a Instructional design 
653 |a Generative artificial intelligence 
653 |a Knowledge management 
653 |a Taxonomy 
653 |a Learning theory 
653 |a Learning activities 
653 |a Teachers 
653 |a Chatbots 
653 |a Colleges & universities 
653 |a Simulation 
653 |a Science education 
653 |a Experiential learning 
653 |a Education 
653 |a End users 
653 |a Engineering education 
653 |a Intelligent Tutoring Systems 
653 |a Influence of Technology 
653 |a Learning Processes 
653 |a Learning Theories 
653 |a Learning Experience 
653 |a Educational Technology 
653 |a Grading 
653 |a Cognitive Objectives 
653 |a Mathematics Education 
653 |a Case Studies 
653 |a Artificial Intelligence 
653 |a Elementary Schools 
653 |a Science Instruction 
653 |a Creativity 
653 |a Comparative Education 
653 |a Comparative Analysis 
653 |a Outcomes of Education 
653 |a Science Curriculum 
653 |a Class Activities 
700 1 |a Retbi, Asmaâ 
773 0 |t European Conference on e-Learning  |g (Oct 2025), p. 440-449 
786 0 |d ProQuest  |t Education Database 
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