Pre-service Teachers' Digital Competence Scale Scores Over a 16-Week Intervention

Zhou, Rui collected structured, longitudinal quantitative data from 23 pre-service teachers at a Chinese normal university. The dataset contains item-level responses on a 23-item digital competence scale administered at three time points over a 16-week intervention period. All data are pseudonymized and complete, with no missing responses.

Use Cases

• Conduct repeated measures analysis based on three measurement points (T1, T2, T3).
• Analyze developmental trajectories across six digital competence dimensions mentioned in the description.
• Compare the divergence between technical skill acquisition and ethical awareness based on the described scale dimensions.
• Evaluate the effects of the Instructor–Student–AI Collaborative (ISAC) model on digital competence development.

Strengths

• Contains data from three distinct measurement points over a 16-week period, enabling longitudinal analysis.
• Dataset is complete with no missing responses across all 23 participants.
• Includes responses for 23 items mapped to six specific digital competence dimensions.
• Data are pseudonymized and collected under institutional ethical approval.

Limitations

• Sample size is limited to 23 participants from a single intact class.
• Column-level documentation is absent; field semantics must be inferred after download.
• Geographic scope is limited to a single Chinese normal university.

Provenance

Source

Harvard Dataverse, author Zhou, Rui.

Collection Method

Administered online via Wenjuanxing survey platform.

Time Range

Data span Week 1 through Week 16 of the intervention.

Freshness

Last updated 2026-05-11 14:30:52; freshness should be verified.

Geography

Pre-service teachers from a Chinese normal university.