Recent developments in Artificial Intelligence are influencing people's everyday lives. The educational context is no exception, and AI is permeating the learning and teaching experiences. New Artificial Intelligence models offer possibilities to create new systems for enhancing the learning experience and supporting teachers in their roles. Applications supported by AI can highly impact both the teacher's and students' experiences, providing value added to education; some examples are systems for the personalization of contents,  automatic assessment, grading, and smart tutoring in general.
Systems for Generative Artificial Intelligence, such as ChatGPT, DALL-E, Gemini, and Claude, with several other Large and Small Language Models and Machine/Deep Learning Systems, are available to many people, and their potential and risks must be investigated. The involvement of experts in the discussion of their impacts, effects, opportunities, and benefits, without underestimating limitations and risks, has become crucial. 

The ongoing research in artificial intelligence has brought about the development of models capable of efficiently affording human tasks. 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 concrete by impacting 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 also plays an important role in education, 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 based on 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 to acquire information on specific topics. Besides their benefits, there are also several 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, helping students raise awareness of potential threats and enhancing young people’s strategies to navigate safely and tackle these threats. In a similar way, AI can help educate people about human values and tackle world challenges as defined in the Sustainable Development Goals  (SDG). In particular, SDG 4 guarantees 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 has 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 various tasks such as writing an essay, doing calculus, drawing images, and summarizing course materials. In this respect, specific actions must 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 UNESCO, the workshop will invite scientists to submit work aiming to explore the applications of AI in the education context.

The workshop aims at gathering papers related, but not limited, to the following topics: 

• Artificial Intelligence systems in educational contexts

• New perspective on developing AI applications in education

• Open Source approaches for Large and Small Language Models, with application in Education

• Human-AI cooperation: opportunities for teaching and learning

• Artificial Intelligence to promote inclusive education 

• Tackling challenges of the sustainable development goal 4 (SDG4)

• Developing new skills in the AI era

• Empowering teachers and teaching with artificial Intelligent systems

• Ethical usage of AI algorithms to manage education data

• Explainable AI in the educational contexts

• Automatic Evaluation of Learning and Assessment Content

• Learning Analytics Solutions to Support On-Time Feedback

• Adaptive Lifelong Learning

• AI and Ubiquitous learning

• AI for personalized learning

The workshop allows two types of submissions:

• Short papers (at least six pages bibliography included)

• Regular papers (at least ten pages bibliography included)
  
  

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:

• Overleaf template (recommended)

• CEUR templates

Papers submission is electronic through EasyChair, at the link: submission

The importance of enhancing knowledge on artificial intelligence has brought AIxIA to announce a new workshop focused on promoting education on artificial intelligence. This workshop will delve into methodologies, educational pathways, and AI literacy, including program development for Educators, AI Literacy kits and educational games, Case studies on AI Literacy courses for elderly people, and more. 

All papers on Education on AI that aim to promote AI awareness and AI literacy methodologies for educating about artificial intelligence are invited for submission to EDU4AI.