ArticleFrontiers in psychology2026
Threat-related AI anxiety and engagement in live-streamed AI courses: a moderated serial mediation model of extrinsic motivation and teacher support.
Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Media consumption and self-perceived multilingual identity in short-video vlog-assisted informal digital language learning.Frontiers in psychology · 2026Article
- When AI becomes a language partner: a moderated serial mediation model of AIGC-supported communicative task engagement and learning enjoyment.Frontiers in psychology · 2026Article
- The impact of active live-stream participation on wellbeing: the mediating roles of social presence and connectedness and the moderating role of fear of missing out.Frontiers in psychology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: As artificial intelligence becomes increasingly embedded in education and work, live-streamed AI courses have become a common format for timely, interactive, and practice-oriented instruction. At the same time, AI-related uncertainty has intensified learners' anxiety. This study examined how threat-related AI anxiety is associated with engagement in live-streamed AI courses through extrinsic motivation for AI learning and perceived continuous teacher support, and whether this process varies by AI learning self-efficacy. Methods: A questionnaire survey was conducted among 487 adult learners in China who had participated in at least one live-streamed or synchronous AI-related course within the previous 6 months. Data were analyzed using PROCESS Model 87 with 5,000 bootstrap samples. Results: Threat-related AI anxiety was positively associated with extrinsic motivation for AI learning. Extrinsic motivation was positively associated with both perceived continuous teacher support and engagement, and perceived continuous teacher support was positively associated with engagement. The serial indirect effect through extrinsic motivation and perceived continuous teacher support was significant. AI learning self-efficacy significantly weakened the association between perceived continuous teacher support and engagement, such that learners with lower self-efficacy depended more heavily on teacher support for their engagement. Conclusion: Engagement in live-streamed AI courses is associated with a linked process involving emotional pressure, motivational activation, and instructional support. The study extends research on AI anxiety from motivation to engagement, identifies continuous teacher support as a key mechanism in live-streamed AI learning, and highlights the importance of accessible and supportive course design, especially for learners with lower AI learning self-efficacy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.