Digital Assessment Acceptance among Nursing and Midwifery Students in Ghana: Development and External Validation Datasets with Questionnaire

Résumé fourni par la source

The dataset facilitates studies on the acceptance of digital assessment among Nursing and Midwifery students in Ghana. The data was gathered through the Digital Assessment Acceptance Questionnaire and is presented as two separate datasets with the first consisting of 800 students, whereas the second one consists of 300 students. One participant is represented by each row, while the 42 columns present responses related to demographic variables, computer skills, prior experience in online examination, digital platforms knowledge, web service skills, perceptions of fairness, benefits and disadvantages of online exams, screen and interface design, system usability, effects on learning, opinions of students, technical problems, and exam preparation. Digital assessment acceptance may be obtained using the information provided in the eight Student Opinion questions. A participant is considered to have positive acceptance of digital assessment if at least five of the eight items receive the positive answer ("Agree" or "Strongly Agree"). The categorical answers are preserved for all the items as well as all the missing data. All the personal identification information has been removed and the data are anonymised. The Digital Assessment Acceptance Questionnaire is provided as supporting documentation to help understand the wording of the items used for collecting data. These materials can be used for descriptive statistics, psychometrics, machine learning algorithms construction, external validation, and comparative studies.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.