April 9, 2026
Effectiveness of the Wise Infant Development® Software in the Acquisition of Knowledge about Infant Development among Nursing Students
About
Effectiveness of the Wise Infant Development® Software in the Acquisition of Knowledge about Infant Development among Nursing Students: a Randomized Clinical Trial
- PhD Student: Wesley Soares de Melo
- PhD Supervisor: Dr. Maria Vera L. M. Leitão Cardoso
Date & Time: April 9, 2026 @ 12-1pm PST
Venue: Gateway Health Building – Room 5228 (or via Zoom)
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Abstract:
Digital information and communication technologies are useful cognitive tools in the teaching-learning process. This research aims to verify the effectiveness of the educational software Wise Infant Development® in the acquisition of knowledge regarding infant development (physical, cognitive, and psychosocial domains) among nursing undergraduate students. This study comprises a methodological design and a randomized controlled trial (RCT). In the first stage, functional performance and technical quality were evaluated by two groups of expert judges (information technology professionals and nurses with expertise in child health) using ISO/IEC 25010 international metrics (functional suitability, reliability, usability, performance efficiency, compatibility, security, maintainability, and portability). Subsequently, a usability pilot test was conducted with nursing undergraduate students using the System Usability Scale. The second stage (RCT), conducted in Universities in Ceará, Brazil, occurs in four phases: I (pre-test); Randomization into three arms (Group A: face-to-face lecture with PowerPoint; Group B: exclusive use of the software; Group C: face-to-face lecture + software); II (intervention); and III (post-test after 15 days). The sample size calculation defined a minimum of 21 students per group (63 per University). The null hypothesis (H0) assumes equal performance among the groups, while the alternative hypothesis (HA) predicts superiority with the use of the software. The dependent variable is the performance (correct/incorrect answers) between the pre- and post-test, associated with sociodemographic, academic, and technological independent variables. Data are analyzed using R software (p≤0.05), applying the Binomial test (judges) and the KolmogorovSmirnov test (normality in the RCT), followed by appropriate inferential tests. The research has ethical approval and is registered in the Brazilian Registry of Clinical Trials (REBEC). Preliminary results: The software met the requirement with an agreement among judges greater than 80%. In the pilot test, it achieved satisfactory usability with the highest possible rating. The final data from the clinical trial are being processed and analyzed.
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Date & Time
Thu, April 9, 2026