ARTICLE
30 September 2026

Ability Versus Action Self-Efficacy as Differential Predictors of Learning Engagement among Chinese Top-Up Degree Students

Xinyu Hu1 ,  Wei Li2
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1 Beijing College of Finance and Commerce, Beijing 101101, China
2 College of Applied Science and Technology, Beijing Union University, Beijing 100012, China
JCER 2026 , 10(9), 357–368; https://doi.org/10.26689/JCER.v10i9.15695
© 2026 by the Author(s). Licensee: Bio-Byword Scientific Publishing Pty Ltd, Australia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

We compared ability self-efficacy (confidence in academic ability) and action self-efficacy (confidence in carrying out study strategies) as predictors of learning engagement in a cross-sectional survey of Chinese top-up degree students. Items were adapted from a Chinese learner-characteristics scale to fit the top-up degree context. Of 363 collected questionnaires, 25 straight-line or invariant responses were removed, leaving 338 for analysis. Confirmatory factor analysis fit a three-factor measurement model well, and chi-square difference tests kept the three constructs separate despite their high latent correlations. A common method bias check suggested that no single factor explained the covariance among the indicators. In the structural model, ability self-efficacy predicted engagement significantly (β = 0.685, P < 0.001); action self-efficacy did not (β = 0.197, P = 0.097). A Wald test separated the two coefficients on the unstandardized scale (z = 6.71, P < 0.001) but reached only marginal significance on the standardized scale (z = 2.03, P = 0.043). The model explained 73.1% of the variance in engagement. On balance, confidence in academic capability emerges as the more proximal driver of engagement, though the standardized gap between the two dimensions was small.

Keywords
Ability self-efficacy
Action self-efficacy
Learning engagement
Structural equation modeling
Top-up degree students
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