A 30.6 KB XLSX file by Guifeng Zheng, last updated March 25, 2026. The dataset expands the Technology Acceptance Model to analyze mobile application influence on learning behaviors in higher education physical education. It integrates dimensions of self-regulated learning, learning self-efficacy, and technology acceptance.
Use Cases
- Modeling technology acceptance factors based on perceived usefulness and attitudes toward usage mentioned in the description
- Analyzing relationships between behavioral intentions and self-regulated learning abilities based on the theoretical framework
- Investigating indirect effects on learning self-efficacy based on the described mechanisms
- Testing the extended analytical framework for hybrid physical education environments described in the study
Strengths
- File size is 30.6 KB, indicating a focused and manageable dataset.
- Released under a permissive CC-BY-4.0 license, allowing for broad reuse.
- Last updated March 25, 2026, suggesting recent maintenance.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Guifeng Zheng via figshare
- Collection Method
- Likely contains survey or experimental data from a study on mobile learning in physical education.
- Time Range
- null
- Freshness
- Last updated 2026-03-25 17:36:11; freshness should be verified.
- Geography
- null