Mobile App Learning Engagement and Test Scores for 226 Japanese Preservice Teachers

Japanese preservice teachers engaged in mobile learning via an AI-powered app designed for memorization. The dataset contains 226 records and analyzes the relationship between daily app usage rates and academic test scores on foundational pedagogical knowledge. It was authored by Hisaya Sudo and last updated on 2026-04 30.

Use Cases

• Analyze the correlation between mobile app usage frequency and test performance based on the reported Spearman's correlation coefficient.
• Identify predictors of student engagement in mobile learning based on psychological characteristics and study habits mentioned in the description.
• Model factors influencing knowledge retention at the 'Remember' level based on the app's stated design for factual knowledge.
• Investigate the role of procrastination tendencies and weekday self-study habits as engagement predictors based on the logistic regression results.

Strengths

• Dataset includes 226 participant records.
• Analysis includes specific statistical results: a Spearman correlation (r_s=0.338, p<0.001) and logistic regression odds ratios.
• Focuses on a defined population: Japanese preservice teachers.
• Data is licensed under CC-BY-4.0, permitting reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and temporal bias inherent to the single study context.

Provenance

Source

figshare, authored by Hisaya Sudo.

Collection Method

Data likely collected from a study where 226 preservice teachers used a mobile app for learning, with subsequent analysis of usage logs and test scores.

Time Range

null

Freshness

Last updated 2026-04-30 15:26:54; freshness should be verified.

Geography

Japan