IoT-Based Classroom Environmental Monitoring and Teacher Survey Data

Anonymized data supports a study on IoT-based classroom management. The dataset includes IoT sensor readings for temperature, humidity, light, and noise, alongside teacher survey responses on Self-Efficacy, Technology Acceptance, and System Usability. It was authored by Ika Maryani and is available under a CC-BY-4.0 license.

Use Cases

• Correlate classroom environmental conditions like temperature and noise with teacher self-efficacy scores.
• Analyze teacher technology acceptance based on IoT sensor data for light intensity and humidity.
• Evaluate system usability for IoT classroom tools using survey responses and environmental monitoring data.

Strengths

• Data is anonymized to comply with research ethics standards.
• Integrates multiple data types: IoT sensor readings and structured survey responses.
• Explicitly licensed under CC-BY-4.0 for open reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is provided as a 4.4 MB PDF, which may complicate direct analysis.

Provenance

Source

Ika Maryani

Collection Method

Collected via IoT sensors and teacher surveys as part of an educational design research study.

Freshness

Last updated 2026-05-11 15:53:55; freshness should be verified.