Survey on AI Anxiety and Engagement in Live-Streamed Courses, 487 Adult Learners

Survey responses from 487 adult learners in China who participated in live-streamed AI courses within the previous 6 months. The data likely contains measures of threat-related AI anxiety, extrinsic motivation, perceived teacher support, engagement, and AI learning self-efficacy. The dataset was created by Ming Lei and published on figshare in April 2026.

Use Cases

• Analyzing the relationship between AI anxiety and extrinsic motivation based on survey constructs.
• Testing mediation models linking motivation, teacher support, and course engagement.
• Investigating how AI learning self-efficacy moderates the effect of teacher support on engagement.
• Studying demographic or psychological factors in adult learners of AI technology.

Strengths

• Survey includes 487 adult learner responses, providing a substantive sample size.
• Data collection focused on a specific, timely educational format: live-streamed AI courses.
• Analysis employed a moderated serial mediation model (PROCESS Model 87) with 5,000 bootstrap samples, suggesting a rigorous statistical approach.

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 being from China.

Provenance

Source

figshare

Collection Method

Questionnaire survey conducted among adult learners.

Time Range

Survey conducted within 6 months prior to data collection; exact dates unknown.

Freshness

Last updated 2026-04-29 05:57:28; freshness should be verified.

Geography

China