AI-Driven Financial and Climate Literacy Education: Building Dual Competencies for Sustainable Decision-Making
Financial, Climate, Literacy Education
In an era of climate uncertainty, increasing financial complexity, and rapid technological change, education must equip learners with the competencies needed for informed, responsible, and sustainable decision-making. Financial literacy and climate literacy are becoming increasingly interconnected, particularly in the banking sector, where climate-related risks demand stronger analytical capacity, data interpretation, and responsible financial judgment. At the same time, real-time data platforms and generative artificial intelligence are transforming education and professional learning through adaptive content, intelligent support, and data-driven pedagogical innovation.
This conference section explores how the synergy of real-time data platforms and generative AI can strengthen financial and climate literacy, with particular relevance to climate risk management in banks and other financial institutions. It invites theoretical, empirical, and practice-oriented contributions on AI-enhanced learning, real-time data use, learning analytics, intelligent tutoring systems, simulation-based learning, and interdisciplinary teaching approaches that support literacy enhancement in dynamic, risk-sensitive, and sustainability-oriented environments. Critical perspectives on ethics, transparency, bias, data privacy, accessibility, and responsible AI integration are also encouraged.
This section welcomes submissions that offer innovative insights into how AI and data-driven educational environments can enhance financial and climate literacy and support more effective climate risk management, informed decision-making, and sustainable transformation in the financial sector.
This conference section explores how the synergy of real-time data platforms and generative AI can strengthen financial and climate literacy, with particular relevance to climate risk management in banks and other financial institutions. It invites theoretical, empirical, and practice-oriented contributions on AI-enhanced learning, real-time data use, learning analytics, intelligent tutoring systems, simulation-based learning, and interdisciplinary teaching approaches that support literacy enhancement in dynamic, risk-sensitive, and sustainability-oriented environments. Critical perspectives on ethics, transparency, bias, data privacy, accessibility, and responsible AI integration are also encouraged.
This section welcomes submissions that offer innovative insights into how AI and data-driven educational environments can enhance financial and climate literacy and support more effective climate risk management, informed decision-making, and sustainable transformation in the financial sector.
Session Chairs
Professor Deimante Vasiliauskaite, Vilnius University Business School, Lithuania
Associate Professor Egle Termine, Vilnius University Business School, Lithuania
Associate Professor Dileta Jatautaite, Vilnius University Business School, Lithuania
Junior Assistant Ahmad Kaab Omeir, Vilnius University Business School, Lithuania
Important Dates
- Paper Submission: April 20, 2026
- Author Notification: April 30, 2026
- Registration: May 10, 2026
- Conference Dates: May 26-28, 2026
Contact Us
Secretary Email
anna@ieti.net