iCLOUD_dataset

Published: 5 May 2026| Version 1 | DOI: 10.17632/4stw88bjsh.1
Contributor:
JEFFREY ZARTIGA

Description

This dataset contains quantitative data collected to evaluate the effectiveness of an APPs-based iCLOUD (Interactive Cloud Learning for Optimized User Development) intervention in improving student learning engagement in Computer Systems Servicing (CSS) within a technical-vocational education context. The dataset includes anonymized records of 30 students and is divided into two main components: Pre-test and Post-test Scores Measures students’ academic performance before and after the implementation of the iCLOUD intervention Includes computed gain scores to assess learning improvement Student Engagement Metrics Assessed using a 5-point Likert scale Covers three dimensions: Behavioral Engagement Emotional Engagement Cognitive Engagement Includes overall engagement scores per student All data have been anonymized to ensure participant confidentiality. No personally identifiable information is included. This dataset supports the findings of the study by providing empirical evidence of improvements in student performance and engagement following the implementation of a cloud-supported, application-based learning intervention.

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