Dataset from Bloom 2.0: task performance, user satisfaction, and open-ended feedback from a web-based assessment platform for executive function and related cognitive processes in higher education

Digital assessment of executive functions in higher education presents opportunities to analyze cognitive performance, user experience, and system usability within scalable academic settings. This dataset includes task-level records from 64 undergraduate students who completed six web-based cognitive tasks, user satisfaction ratings from 55 participants via a 15-item Spanish End-User Computing Satisfaction survey, and thematic annotations of open-ended feedback. Data were generated through a browser-based platform with real-time performance tracking, automated task sequencing, and cloud-based record preservation. Structured files include participant context variables, task completion times, accuracy indices, error counts, three-level performance classifications, raw EUCS survey results, and derived qualitative codes. All data underwent standardized preprocessing to ensure row-level consistency, variable harmonization, and de-identification. This resource facilitates reproducible research on digital cognitive assessment, user satisfaction benchmarking, task design, and exploratory links between performance and system perception in academic environments, supporting secondary analysis and the evaluation of emerging digital assessment frameworks.