Brainy: An Innovative Context-Aware Generative AI Engine for Education


In the realm of education, the integration of Generative AI tools within learning platforms has transformed teaching and learning paradigms. This paper introduces Brainy, a context-aware AI engine integrated into the Augmental Adaptive Learning platform, which implements the concept of Differentiated Instruction. At its core, Brainy employs Generative AI Models, leveraging a variety of Language Learning Models (LLMs), including OpenAI. This integration enables Brainy to generate personalized course materials and assessments tailored to individual learner needs, in addition to offering multiple learning paths. By considering learning objectives, prior knowledge, and learner proficiency levels, Brainy ensures an adaptive learning experience that promotes equity in education. It refines content and learning activities, adjusts to accommodate each learner’s learning style and progression and offers feedback on assessments using a supportive educational approach, including clear explanations and analogies that address individual learning needs. This integration not only elevates the learning experience for learners but also empowers Instructors to have complete control to review the AI-generated content, ensuring an alignment with educational goals and principles and a balance between personalization and standardization, essential to maintain integrity and effectiveness of the educational process. In summary, Brainy offers differentiation in terms of content, process, and result assessment, tailoring content to individual learner needs, adapting the learning process to diverse learning styles, and providing personalized feedback that enhances the learning experience for all learners. The implementation results confirm Brainy's personalized learning approach. However, experiments and data analysis are in perspective to better understand the solution's performance in terms of efficacy and accuracy. This involves conducting a more in-depth assessment to evaluate the impact of the solution on learners' learning outcomes.

Author Information
Elie Nahas, Augmental Learning Inc., United States
Paul Barakat Diab, Augmental Learning Inc., United States
Talar Atechian, Antonine University, Lebanon

Paper Information
Conference: SEACE2024
Stream: Learning Experiences

This paper is part of the SEACE2024 Conference Proceedings (View)
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To cite this article:
Nahas E., Diab P., & Atechian T. (2024) Brainy: An Innovative Context-Aware Generative AI Engine for Education ISSN: 2435-5240 The Southeast Asian Conference on Education 2024: Official Conference Proceedings
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Posted by James Alexander Gordon