Developing an institutional AI digital assistant in an age of Industry 5.0

This dataset is related to the publication "Developing an institutional AI digital assistant in an age of Industry 5.0". As stated in the abstract "using Technology Acceptance Model (TAM) and following a Design-Based Research (DBR)approach we explored the perspectives and experiences of a beta-test of an institutionally developed AIDA (i-AIDA) with 18 UK students using multiple methods and data sources (including pre-post-test, interviews, think-aloud, and prompt analysis). Our research underscores the potential benefits and limitations of in-house i-AIDA in enhancing learning experiences without compromising academic integrity or privacy, and how higher education institutions can prepare themselves for Industry 5.0." This dataset consists of the raw data of "RQ1 After engaging with a beta-version of an institutional AI digital assistant (i-AIDA) what are the main perceptions of participants, and do they change their perceptions?". Given the sensitive nature of the comments related to RQ2 and RQ3 the qualitative data is only available upon request (email bart.rienties@open.ac.uk)

In the legend worksheet the detailed descriptions per variable are provided.

Rienties, B., Ullmann, T., Tessarolo, F., Kwarteng, J., Domingue, J., Coughlan, T., Coughlan, E., Bektik, D. (2025). Developing an institutional AI digital assistant in an age of Industry 5.0. Applied Sciences.