This dataset consists of the results of the first European-Union-wide survey on the potential long-term impacts of COVID-19 on higher education (Huth, M. & Cominola, A., 2022 forthcoming), evaluating over 800 responses from students and faculty members of higher education institutions located in 17 different European countries. The data consists of variables related to the actual pre-pandemic, pandemic and intended future frequency of use of various educational tools and formats, as well as students and faculty members' attitude (...)

This dataset consists of the results of the first European-Union-wide survey on the potential long-term impacts of COVID-19 on higher education (Huth, M. & Cominola, A., 2022 forthcoming), evaluating over 800 responses from students and faculty members of higher education institutions located in 17 different European countries. The data consists of variables related to the actual pre-pandemic, pandemic and intended future frequency of use of various educational tools and formats, as well as students and faculty members' attitude toward retaining digital teaching formats and media post-pandemic. The data is shared in SPSS file format (.sav) and as a .CSV file. A detailed item bank label overview is attached in excel format. The attitude related items consists of Technology Acceptance Model (TAM) construct variables following items used by Rizun et al. (2021) and Vladova et al. (2021). Following guidelines (Hair et al. 2019; Henseler, Ringle, and Sarstedt 2015) to establish discriminant validity before analysing the TAM variables in a structural equation model, the objective had to be disregarded. The data might still yield interesting descriptive insights nonetheless, which is why they are published here along with the variables used in the forthcoming publication by Huth and Cominola (2022).