EduAI

Objectives of the project

Need: EduAI aims to empower educators in the social sciences to effectively incorporate AI technologies into their learning-teaching methods

EduAI aligns with the selected priorities: Develop a Comprehensive AI-Integrated Learning Framework: proposed an evidence-based approach to AI integration in higher education, enhancing educators’ digital readiness and capacity derived from a multidimensional framework; Create a Multimedia Innovator Showcase: By showcasing innovative teaching practices, this objective stimulates innovative learning and teaching practices among educators; Offer an AI-Integrated Learning blended Course: The course empowers educators with the skills and knowledge required for AI integration, enhancing their digital readiness and capacity; Establish an AI-Integrated Learning Co-creator Lab GUIDE: The co-creator lab fosters innovation in teaching and learning practices, directly addressing the priority of stimulating innovative practices; Produce an “AI Integration Insights Unveiled – Podcast Series”: This podcast series provides insights into AI integration and promotes innovative teaching and learning practices. Tangible Results: The tangible results reinforce project´s alignment with the selected priorities: R1. Comprehensive AI-Integrated Learning Framework: This result directly addresses digital transformation by providing a structured approach to AI integration, enhancing educators’ digital readiness and capacity; R2. Multimedia Innovator Showcase: By showcasing innovative teaching practices, this result stimulates innovative learning and teaching practices among educators; R3. AI-Integrated Learning Online Course: The online course enhances educators’ digital readiness and capacity by providing them with the skills and knowledge needed for AI integration; R4. AI-Integrated Learning Co-creator Lab GUIDE): The co-creator lab fosters innovation in teaching and learning practices, directly addressing the priority of stimulating innovative practices; R5. “AI Integration Insights Unveiled – Podcast Series”: This podcast series provides insights into AI integration and promotes innovative teaching and learning practices.

The EduAI project should target the following groups:

• University Professors and Lecturers: These educators are at the forefront of higher education delivery. Equipping them with AI integration skills enhances the quality of teaching and ensures students benefit from innovative, technology-enhanced approaches.
• Teacher Trainers and Professional Development Facilitators: Those responsible for training other educators play a crucial role in disseminating AI integration expertise. Empowering them amplifies the project’s impact by reaching a broader educational community.
• Educational Technology Specialists: These professionals possess expertise in both education and technology. Their involvement ensures effective integration of AI tools and technologies into teaching methods.
• Administrators Involved in Curriculum Development: Administrators have a pivotal role in shaping the educational framework. Their understanding of AI’s potential ensures that curricula evolve to integrate AI technologies seamlessly. By targeting these groups, the EduAI project maximizes its potential to enhance education quality, promote innovation, and drive effective AI integration across various dimensions of higher education, with high potential to be transferred to other education sectors

Expected Results

The first project result of EduAI project is the “AI INTEGRATED LEARNING FRAMEWORK”. This framework explores the integration of Artificial Intelligence (AI) into higher education, providing a roadmap for educators and institutions to leverage AI tools effectively. It highlights the current state of AI in higher education, AI’s potential to personalize learning, streamline administrative processes, and enhance teaching efficiency while addressing challenges such as AI literacy, ethical issues, data privacy, bias, and accessibility. By examining key AI tools, including chatbots, adaptive learning platforms, automated grading systems, and AI-powered simulations, the framework offers practical guidelines for ethical and inclusive adoption. The advantages, barriers, and transformative impact of AI in higher education are also discussed. The framework emphasizes the indispensable role of human oversight, ensuring that AI complements rather than replaces the human elements of education, providing various areas of training for a better integration of AI in higher education. Additionally, this document serves as a strategic guide for creating adaptive, innovative, and equitable educational ecosystems. It prepares educators for the demands of an AI-driven world by exploring possible transformations brought by AI and providing a roadmap for effective AI adoption.

Project Activities