Survey on Student Responses to AI Teaching Assistants in China

Qingchuan Huang's dataset contains 348 anonymized survey responses from Chinese undergraduate students collected for an experimental study. The data measures psychological satisfaction and continued usage intention toward AI versus human teaching assistants on a 7-point Likert scale. It was last updated on 2026-05-27 and is shared under a CC-BY-4.0 license.

Use Cases

• Compare perceived autonomy and competence satisfaction between AI and human teaching assistant groups based on the between-subjects experimental design.
• Analyze the relationship between psychological satisfaction and continued usage intention based on the measured constructs of PA, PC, SAT, and CUI.
• Investigate demographic factors like prior AI experience, gender, and major as moderators of student responses to AI teaching assistants.
• Validate or apply the Stimulus-Organism-Response (SOR) and Self-Determination Theory (SDT) framework mentioned in the study title using the collected survey items.

Strengths

• Dataset is anonymized with all personally identifiable information removed.
• Includes 348 survey responses with a balanced group design (178 AI TA, 170 human TA).
• Survey constructs (PA, PC, SAT, CUI) are measured with multi-item scales on a standardized 7-point Likert format.

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 Chinese undergraduate students.

Provenance

Source

Qingchuan Huang via figshare

Collection Method

Survey responses collected for a between-subjects experimental study.

Freshness

Last updated 2026-05-27 09:28:51; freshness should be verified.

Geography

China