Łukasz Tomczyk, PhD
Professor at Institute of Pedagogy, Jagiellonian University in Cracow, Poland
Tamás Bokor, PhD
Associate Professor at Institute of Marketing and Communication Sciences, Corvinus University of Budapest, Hungary
Tamás is a communication researcher and trainer. He is an associate professor at Corvinus University of Budapest (HU), deputy head of the Institute of Marketing and Communication Sciences. He graduated from the PhD programme of the University of Pécs in 2012, studying the system theory of online social communication. As a programme director, he played a significant role in the renewal of the innovative Communication and Media Studies BA undergraduate programme, which is one of the most successful one among the communication-related programmes in the CEE region. In the meantime, he also develops and teaches in the Communication and Media Science MA as well as in the Doctoral School of Communication Science at CUB.
As a member of the AI committee at Corvinus University, he contributed to the
elaboration of the university guidelines and recommendations for using AI in teaching and learning.
As a researcher, he has been taking part in several recent research programmes
focused on technology acceptance and the newest digital competences required for the effective use of AI technologies. These research covered, among others, the mapping of the graduated employees’ attitudes towards the „robots take our jobs” discourse, the media representation of AI technologies, the narratives of teachers and pupils about the future of AI in education, the trust of the Hungarian adults in AIas well as the personal acceptance of human-computer interaction in regard of using chatGPT for academic purposes.
Guiding the guide: recommendations of HEI for the appropriate and responsible use of AI
Since the beginning of human-computer interface (HCI) based interactions in the mid-20th century, the key question is what competences constitute this interface, which is created by the communication encounter between the two types of agents. The more human-like the computer’s communication becomes, the more important the soft skills will be on the human agent’s side: in addition to programming skills, precise language-based questioning; in addition to mathematical thinking, a critical approach to information sources; in addition to syntactic logic, a visual intuition is needed, not to mention quite a few further soft skills for an effective HCI.
The skills and competences listed above are crucial part of the academic skillset, therefore the academia and the scientific research are also challenged by AI as a means of increasingly symmetrical human-computer interaction. Having recognized this, the classic digital competence models are merging into broader competence frameworks, while human-computer interaction is slowly converging towards parity and symmetry.
The presentation delves into the shift of competence frameworks from „digital“ to „AI“ competences. A case study shows how higher education institutions (Corvinus University of Budapest, Hungary) can give recommendations for the appropriate and responsible use of AI by elaborating a guide to students and teachers, and how this process points to the shift from hard digital competences to soft AI skill.