Progetti di ricerca

Pagina 1 di 1

AILA - AILA: Student Learning Agreements to foster participation in defining and evaluating responsible use of Generative AI

Objectives: What do you want to achieve by implementing the project? This project engages students and educators in defining the responsible use of AI in Higher Education, aligning GenAI applications with course learning objectives. It aims to (1) support teachers in Leggi tutto co-designing learning agreements with students to address course rules and ethical concerns, (2) guide educators in redesigning activities to incorporate GenAI capabilities while mitigating risks, and (3) promote awareness and dialogue around the responsible integration of GenAI in education. Implementation: What activities are you going to implement? The project focuses on a Human-centered AI approach through training and co-design sessions. Participants collaborate to address ethical concerns, create learning agreements, and redesign course activities to integrate GenAI while aligning with learning objectives. Teachers and students refine the approach in pilot courses. Results are shared through a Toolkit including: case studies, a white paper, and publications, along with the guidance to implement a Learning Agreement approach. Results: What project results and other outcomes do you expect your project to have? The main outcome is a co-designed protocol to address ethical aspects and appropriate educational uses of GenAI within Higher Education contexts, using learning agreements to model student participation. Results include 1) case studies, a white paper, and research publications, and 2) a transferability toolkit with learning agreement guidelines, infographics on GenAI ethical and educational uses, advice for engaging in public discourse, and materials for professional development workshops.

Responsabili: OGNIBENE DIMITRI
Data di inizio:
Data di fine:
Bando: Cooperation partnerships in higher education
Enti finanziatori: EUROPEAN COMMISSION

Developing an Artificial Social Childhood (ASC) to improve AI causal reasoning, information gathering and decision making

Responsabili: OGNIBENE DIMITRI
Data di inizio:
Data di fine:
Enti finanziatori: VOLKSWAGEN STIFTUNG (Volkswagen Foundation)

IDEAL - Integrating Data Analysis and AI in Learning experiences

This project aims to introduce and integrate teaching methodologies in Data Analysis and conscious approaches for leveraging AI and AI tools across various higher education disciplines. The project is dedicated to disseminating knowledge and skills in these cutting-edge fields, making Leggi tutto them accessible and applicable in a wide range of academic contexts, not just those traditionally associated with technology.

Responsabili: OGNIBENE DIMITRI
Data di inizio:
Data di fine:
Bando: Cooperation partnerships in higher education
Enti finanziatori: EUROPEAN COMMISSION

COURAGE- A Social Media Companion Safeguarding and Educating Students

This project aims to develop a virtual companion for Social Media users that educates and supports teenage school students facing the threats of Social Media. These include discrimination and biases in general, possibly escalating to hate speech, bullying, fake news Leggi tutto and other toxic content that can strongly affect the users in their real lives. The companion will raise awareness of potential threats in Social Media while still providing a satisfactory experience through the use of innovative gamification strategies and educative information selection algorithms. Using carefully designed gamification strategies, based on the concept of interactive counter-narrative, together with a learnt model of diffusion of biased and/or toxic content in Social Media, the companion will learn and revise its user interaction strategies in order to support the development of coping strategies in the targeted learner group. These strategies will be refined and personalized for different users and their social niches, pursuing the dual aims of (A) improving and creating healthy social relationships between the users, peers and the targets of bias, as well as, (B) increasing their understanding of the social effects of toxic content in Social Media and the user's role in its propagation. Experimentation will use data harvested from real Social Media and re-enact these examples in restricted and controllable conditions (e.g. schools, classes).

Responsabili: OGNIBENE DIMITRI
Data di inizio:
Data di fine:
Bando: Artificial Intelligence and the Society of the Future
Enti finanziatori: VOLKSWAGEN STIFTUNG (Volkswagen Foundation)
a cura di Redazione Centrale, ultimo aggiornamento il 24/10/2022