Abstract
The Covid19 pandemic hit the higher education system hard. Suddenly, universities around the world are obliged to offer online educational instructions to students. Innovative technologies made this transition possible, and new technologies have opened prospects, connected societies, and created new ways of communication based on the three models in which humans initially communicated: user2user, user2society, and user2society2user. Now, fostered by the covid19 pandemic and with advancements in technological innovations, “User2Machine”-interaction, as a model, has been introduced to online education. This model is helping in creating different methods of communication channels regardless of the time and location of the user. Eventually, this has resulted in forming new interaction modes in the virtual social space. In this paper the User2Machine-interaction model is proposed, focusing on technologies and functionalities affecting this model and contributing to changes in the way users interact with systems. Technologies such as Artificial Intelligence (AI), Virtual Reality (VR) and Chatbots are described to see where do they fit in the new innovative model, and how they affected online education and the ecology of higher education during and post covid19 pandemic.
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Khaddage, F., Lattemann, C., Gebbing, P. (2023). Towards User2Machine Model for Higher Education - Enforced by Covid19 Pandemic. In: Auer, M.E., Pachatz, W., Rüütmann, T. (eds) Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems, vol 634. Springer, Cham. https://doi.org/10.1007/978-3-031-26190-9_16
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