Design pedagogical agents with facial expressions and consider learner-agent similarity to target motivation¶
Strategy · All strategies
Evidence · 4 claims (3 for, 1 mixed) · 2 studies (1 quant-synthesis, 1 review),q2–q3· 1 of 2 report an effect size · 4 claims rest on one study
Description¶
The meta-analysis's moderator results support concrete PA design choices: agents that used facial expressions significantly improved broad motivation (g = 0.33) and self-efficacy expectations (g = 0.46), whereas agents without facial expressions had no significant effect on either outcome. For value beliefs, the authors recommend that "if a PA researcher is interested in impacting learners' value beliefs, careful consideration must be made regarding the agent's role and whether the learner will perceive some degree of similarity (e.g., demographic and/or psychological) between themself and the PA." They speculate such designs may significantly impact value beliefs.
Design Implications¶
Context¶
Requirements¶
- The PA must be a visible on-screen virtual character compared against a non-PA condition for effects to be assessed
Constraints¶
- The facial-expression moderator results come from observational moderator analyses, not randomized manipulation of facial expressions; the value-belief similarity recommendation is speculative and untested in this synthesis
Target Learners¶
- learners in digital learning environments across grade levels, including adult learners outside postsecondary education
Target Learning Goals¶
- self-efficacy expectations, broad motivation, value beliefs
Claims¶
- Pedagogical agents significantly improve learners' self-efficacy expectations (g = 0.29), with effects moderated by grade level, facial expressions, and reliability reporting [+W]
- Pedagogical agents have a small, statistically significant positive effect on learners' broadly defined 'motivation' (g = 0.20) [+W]
- Effects of agent nonverbal behavior depend on the task: facial expressions were valuable for attitudinal learning but detrimental for procedural learning [~W]
- Pedagogical agents significantly improve learners' interest (g = 0.30), with the effect depending on the type of control condition [+W]
Related Strategies¶
Examples¶
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Key Sources¶
- Gladstone, J. R., Schroeder, N. L., Heidig, S., Zhang, S., Palaguachi, C., & Pitera, M. (2025). Do Pedagogical Agents Enhance Student Motivation? Unraveling the Evidence Through Meta-Analysis. Educational Psychology Review. https://doi.org/10.1007/s10648-025-10050-2
Page metadata
| Field | Value |
|---|---|
type |
strategy |
id |
pa-design-facial-expressions-similarity |
title |
Design pedagogical agents with facial expressions and consider learner-agent similarity to target motivation |
description |
The meta-analysis's moderator results support concrete PA design choices: agents that used facial expressions significantly improved broad motivation (g = 0.33) and self-efficacy expectations (g = 0.46), whereas agent... |
status |
review |
generated |
by process:wiki-ingest on 2026-10-19 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — gladstone-2025 |
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