aceExploring student anxiety and experience in performance-based assessments using AIvaluate: an LLM-augmented emotionally intelligent pedagogical AI conversational agent
Abstract Performance-based assessments such as oral presentations and viva voce exams are valued for their pedagogical benefits but can also be associated with heightened student anxiety, which may affect a range of learners and hinder student motivation and overall assessment experience. This study explores the potential of AIvaluate; an emotionally intelligent, LLM-augmented conversational agent, to provide a more supportive assessment environment for such learners. Using a counterbalanced quasi-experimental,…
Students reported significantly lower anxiety during AIvaluate-mediated performance-based assessments compared to traditional face-to-face assessments, with usability rated in the good range.
Findings show reduced anxiety but it remains unclear whether this translates into learning benefits or improved attainment, requiring further investigation.
Evidence
- Peer-reviewedEducational technology research and development2026-06-02
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Truvace Impact Record TRV-2026-0162, v1: “Exploring student anxiety and experience in performance-based assessments using AIvaluate: an LLM-augmented emotionally intelligent pedagogical AI conversational agent.” Truvace, 2026-07-13. /record/TRV-2026-0162 (accessed at citation time). sha256 10d7f3ab0de54632…
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