description

The ongoing research in Artificial Intelligence has brought the development of models capable of affording human tasks efficiently. Recently, many AI systems have been made available through dedicated platforms enabling the entire community to access their services. The widespread use of AI-based services shows that the AI era is getting more and more concrete by putting its impacts on every aspect of human life. Systems such as ChatGPT and Dall-E have shocked the worldwide community by providing opportunities barely imaginable before, and they are not solely AI compelling systems that are accessible and ready to be used by a wide audience (e.g. BlackBox AI, ChatSonic, PlaygroundAI, Perplexity).
Artificial Intelligence covers an important role also in the educational domain, bringing new scenarios, risks, and challenges. AI can provide innovative instruments for enhancing teaching and improving the students’ experience in several contexts. The applications of AI in education cover a wide range of areas from personalization to assessment, grading, and tutoring. Respectively,  teachers can exploit automatic tools to create personalized teaching material suitable for students on the basis of their needs, especially in the presence of disabilities; AI offers abilities to evaluate students’ tasks supporting teachers in grading exams and reducing their effort. From the students’ perspective, AI can support learning activities by offering real-time support via smart tutoring services and personalized learning materials. Intelligent tutors can be helpful not only in curricular subjects but also in developing everyday skills. For instance, Social Media platforms support communication between people despite their distance and, nowadays, are more and more often used also to acquire information on specific topics. Besides their benefits, there are also a number of threats associated with the use of social media. In fact, they are platforms in which dangerous phenomena such as discrimination, bullying, fake-news, and information polarization proliferate. In this context, Smart Companions driven by new AI models can play a key role in classifying toxic content in SM and helping students in raising awareness of potential threats and enhancing young people’s strategies to navigate safely and tackle these threats. In a similar way, AI can help in educating people about human values as well as help in tackling world challenges as defined in the Sustainable Development Goals  (SDG). In particular, SDG 4 aims at guaranteeing access and participation to all students considering their learning needs and competencies. It has been shown that Artificial Intelligence can enhance inclusion methodologies supporting teachers in drafting material for students with special needs (e.g. through automatically created concept maps).
The use of Artificial Intelligence in education also raised concerns amongst the scientific community.  Related risks and how they could impact negatively on students and teachers are investigated. Generative AI models allow students to solve a wide range of tasks such as writing an essay, doing calculus, drawing images, and summarizing course materials. In this respect, specific actions have to be undertaken to avoid the misuse of such powerful tools. Both students and teachers should be aware that AI models can amplify biases or report incorrect information that might be in the data used for the model’s training.
Starting from the Beijing Consensus of the UNESCO, the workshop will invite scientists to submit work aiming at exploring the applications of AI in the education context with particular respect to: AI tools for empowering teachers and students, AI for learning and learning assessment, the development of new skills needed for life and work in the AI era, promote inclusive use of AI in education.

submission

The workshop allows two types of submissions:

• Short papers (6 pages plus bibliography)

• Regular papers (12 pages plus bibliography)
  
  

All papers will be peer-reviewed (single-blind) by the program committee members and their camera ready versions will be included in the conference proceedings published on CEUR in the AI*IA Series (Scopus indexed).

Notice that papers with less than 25000 characters will be considered as short papers in the CEUR proceedings.

Manuscripts should be formatted using the 1-column CEUR-ART Style, which is available as:

• an overleaf template

• a LaTeX and DOCX offline template

Papers submission is electronic through EasyChair, at the link: https://easychair.org/conferences/?conf=aixedu2023