Second Workshop on Computational Approaches to Creativity in Educational Technologies (CACE-22)

Creativity has been shown to promote students' critical thinking, self-motivation, and mastery of skills and concepts. Despite their increasing prevalence in schools, most current technological educational environments do not promote creativity in students' interactions or support teachers' ability to detect creative thinking by students. Recent work in AI and Education has begun to bridge this gap from multiple perspectives, such as representations (computational models for describing creativity in technology-based learning environments), inference (algorithms for detecting creative outcomes from students' interactions with these environments), and visualizations (presentations for teachers in a way that aids their understanding of students' interactions and allow them to intervene with this process when deemed necessary). The workshop will provide a platform for researchers from different fields to share findings and discuss new research opportunities for combining AI and creativity in educational technologies. Importantly, we intend to invite a group of experts in creativity theory from the cognitive and psychological sciences to speak in the workshop. A first edition of the workshop in 2021 was very successful in attracting papers and audience.