5G-DiGITs WP2 dataset: Evaluation of eight Moodle-based Beyond-5G courses

This dataset supports the evaluation of eight Moodle-based courses developed within WP2 of the Erasmus+ 5G-DiGITs project. The dataset contains anonymised course-evaluation data collected during the pilot implementation of the eight courses. It includes 247 anonymous course-evaluation records and 4,321 valid scored responses, comprising 3,705 common-item scores and 616 PBL-specific scores. The workbook contains seven worksheets: README, Questionnaire, Cleaned_Data, Course_Summary, Item_Summary, Cluster_PBL_Summary, and Comment_Categories. These sheets document the retained questionnaire items, source-column mapping, cleaned record-level data, calculation rules, course-level and item-level summaries, descriptive cluster calculations, PBL summaries, Figure 2 classification data, and the open-comment category framework. Questionnaire responses were collected anonymously through external web forms. No direct identifiers or stable cross-course participant identifiers are included in the dataset. Verbatim free-text comments, precise raw-export timestamps, source file names and internal processing fields are not publicly shared because they may contain contextual information with potential identification risk. The dataset is provided to support transparency, reproducibility and reuse of the descriptive analyses reported in the associated research article.