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

226 Japanese preservice teachers engaged in mobile learning via an AI-powered app designed for memorization. The dataset likely contains data on daily app usage rates, academic test scores, and individual factors like procrastination and study habits, analyzed to examine their relationship. The data was uploaded by Hisaya Sudo in April 2026 under a CC-BY-4.0 license.

Use Cases

• Correlate mobile app usage frequency with academic test performance based on daily usage rates and test scores.
• Identify predictors of high engagement in mobile learning based on psychological characteristics and study habits.
• Model the relationship between foundational knowledge retention and app-based learning based on knowledge at the 'Remember' level.

Strengths

• Includes data from 226 participants, providing a specific sample size.
• Contains specific statistical results, such as a correlation coefficient (r_s=0.338) and odds ratios from logistic regression.
• Focuses on a defined educational context: preservice teacher education using a specific AI-powered mobile app.

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 bias inherent to the sample of Japanese preservice teachers.

Provenance

Source

Hisaya Sudo

Collection Method

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

Time Range

null

Freshness

Last updated 2026-04-30 15:26:52; freshness should be verified.

Geography

Japan