Survey Responses on Smart Physical Education System Adoption Among Undergraduates

A 2026 survey of 1,349 undergraduates from five higher education institutions that had implemented Smart Physical Education Systems. The dataset, authored by Dan Dou and shared under a CC-BY-4.0 license, contains responses used to model behavioral intention based on cognitive load and technology acceptance constructs.

Use Cases

• Modeling behavioral intention to adopt educational technology based on survey constructs like perceived ease of use and usefulness.
• Analyzing the relationship between cognitive load dimensions (intrinsic, extraneous, germane) and technology acceptance metrics.
• Testing integrated theoretical frameworks combining Cognitive Load Theory and the Technology Acceptance Model.
• Informing the design of Smart Physical Education Systems by identifying key predictors of user adoption.

Strengths

• Contains 1,349 valid survey responses from a defined population of undergraduates.
• Applies a structured theoretical framework combining Cognitive Load Theory and the Technology Acceptance Model.
• Analysis employed partial least squares structural equation modeling to examine structural relationships.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 25.6 KB, suggesting limited scope or highly summarized data.

Provenance

Source

Survey administered to undergraduates at five higher education institutions.

Collection Method

Electronic questionnaire survey.

Freshness

Last updated 2026-05-11 05:24:48