Abstract: Europe’s educational systems face a growing challenge: the accelerating shift to digital and AI-driven information environments has widened a persistent divide between scientific-technical education and humanistic disciplines. While fields such as data analytics, machine learning, and algorithmic systems advance rapidly, many curricula in the humanities and social sciences remain disconnected from these developments. As a consequence, learners and professionals alike are increasingly ill-equipped to interpret complex data, verify algorithmic content, and counter AI-generated misinformation—key risks in digital education and society. This gap is not simply disciplinary—it is fundamentally civic. Data literacy and AI awareness must be integral to education, not peripheral specialties. They empower individuals to interrogate digital tools, contextualize information, and engage in informed decision-making. At the same time, humanistic education offers critical reflection, ethical frameworks and narrative understanding—capabilities essential for meaningful adoption of technology in educational settings. A transversal approach, combining technical fluency with critical reasoning and inclusive pedagogy, therefore becomes essential for preparing learners to function in a digitally-mediated world. In the context of digital education trends and challenges, this integrated model supports inclusive, lifelong learning. It aligns with goals of accessibility (ensuring all learners can engage with digital/AI literacies), personalization (adapting to varied learner profiles), and innovation (harnessing data-driven tools in service of learning). By uniting humanities and technical literacies, education can move beyond silos: learners not only use data and AI tools, but also understand, evaluate, and reflect on their implications within social, cultural and ethical frameworks. Ultimately, bridging the humanities-sciences divide in education is not a luxury but a necessity. For the future of digital education in Europe to be democratic, resilient and adaptive, educators must design curricula that transcend disciplinary boundaries— equipping learners with the competencies to navigate digital complexity, resist misinformation, and contribute to a knowledge society grounded in both humanistic values and scientific method.
Nelson Mauro, A., Vocca, P. (2025). Bridging the Humanities–Sciences Divide: Transversal Data & AI Literacy for Digital-Age Education. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? 2nd International Conference on Trends and Challenges in Digital Education (DETC 2025), Novi Sad (Serbia).
Bridging the Humanities–Sciences Divide: Transversal Data & AI Literacy for Digital-Age Education
Vocca, Paola
2025-11-09
Abstract
Abstract: Europe’s educational systems face a growing challenge: the accelerating shift to digital and AI-driven information environments has widened a persistent divide between scientific-technical education and humanistic disciplines. While fields such as data analytics, machine learning, and algorithmic systems advance rapidly, many curricula in the humanities and social sciences remain disconnected from these developments. As a consequence, learners and professionals alike are increasingly ill-equipped to interpret complex data, verify algorithmic content, and counter AI-generated misinformation—key risks in digital education and society. This gap is not simply disciplinary—it is fundamentally civic. Data literacy and AI awareness must be integral to education, not peripheral specialties. They empower individuals to interrogate digital tools, contextualize information, and engage in informed decision-making. At the same time, humanistic education offers critical reflection, ethical frameworks and narrative understanding—capabilities essential for meaningful adoption of technology in educational settings. A transversal approach, combining technical fluency with critical reasoning and inclusive pedagogy, therefore becomes essential for preparing learners to function in a digitally-mediated world. In the context of digital education trends and challenges, this integrated model supports inclusive, lifelong learning. It aligns with goals of accessibility (ensuring all learners can engage with digital/AI literacies), personalization (adapting to varied learner profiles), and innovation (harnessing data-driven tools in service of learning). By uniting humanities and technical literacies, education can move beyond silos: learners not only use data and AI tools, but also understand, evaluate, and reflect on their implications within social, cultural and ethical frameworks. Ultimately, bridging the humanities-sciences divide in education is not a luxury but a necessity. For the future of digital education in Europe to be democratic, resilient and adaptive, educators must design curricula that transcend disciplinary boundaries— equipping learners with the competencies to navigate digital complexity, resist misinformation, and contribute to a knowledge society grounded in both humanistic values and scientific method.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


