CoChat
Sign Up
Cited by 39Artificial Intelligence in EducationInnovative Teaching and Learning MethodsEducation, Achievement, and Giftedness

Developing and validating the student learning agency scale in generative artificial intelligence (AI)-supported contexts

Xia, Liangliang, Shen, Kexin, Sun, Herui, An, Xin, Dong, Yan·2025·Education and Information Technologies
DOI 10.1007/s10639-024-13137-5
Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1007/s10639-024-13137-5

Cites

68 of 69 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Recent scales on learner agency with GenAI consistently encompass learner autonomy and collaboration with peers, such as goal setting, self-adjustment, self-reflection or participative action, and reflective use and collaborative use in the GenAI reliance scale.

    “Recent scales on learner agency with GenAI consistently encompassed learner autonomy and collaboration with peers, such as “goal setting”, “self-adjustment”, “self-reflection” or “participative action” (Xia et al., 2025) and “reflective use” and “collaborative use” in the GenAI reliance scale (Hou et al., 2025).”

    From Development and validation of the Generative AI Literacy for Learning Scale (GenAI-LLs) (2025) · cites this paper as Xia et al., 2025

  • Recent scales focusing on learning experience with GenAI cover prompt and language skills, such as self-adjustment and selective action dimensions of learning agency with GenAI, or reflective use dimension of reliance on GenAI in problem-solving.

    “The recent scales developed by specifically focusing on learning experience with GenAI likewise covered prompt and language skills such as “self-adjustment” and “selective action” dimensions of learning agency with GenAI (Xia et al., 2025) or “reflective use” dimension of reliance on GenAI in problem-solving (Hou et al., 2025).”

    From Development and validation of the Generative AI Literacy for Learning Scale (GenAI-LLs) (2025) · cites this paper as Xia et al., 2025

  • Recent scales focusing specifically on learning emphasise the role of critical thinking skills for GenAI use for learning by covering responsible action dimension of learner agency scale in GenAI context and reflective use and cautious use dimensions of reliance on a GenAI scale in problem-solving.

    “Consistently, the recent scales, focusing specifically on learning, also emphasised the role of critical thinking skills for GenAI use for learning by covering “responsible action” dimension of learner agency scale in GenAI context (Xia et al., 2025) and “reflective use” and “cautious use” dimensions of reliance on a GenAI scale in problem-solving (Hou et al., 2025).”

    From Development and validation of the Generative AI Literacy for Learning Scale (GenAI-LLs) (2025) · cites this paper as Xia et al., 2025

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Bandura, A. (2006). Toward a psychology of human agency. Perspectives on Psychological Science, 1(2), 164–180. https://doi.org/10.1111/j.1745-6916.2006.00011 · DOI

Cited by

Sorted by citations

Related

Authors
Xia, L., Shen, K., Sun, H., An, X., & Dong, Y.
Affiliations
  • Beijing Normal University (CN)
  • Qingdao University (CN)
Corresponding author
Dong, Yan
ORCID
Venue
Education and Information Technologies
Publisher
Springer Science and Business Media LLC
Published
2025-01-24
Volume
30
Issue
10
Pages
13999-14021
ISSN
  • 1360-2357 (ISSN-L)
  • 1573-7608
DOI
10.1007/s10639-024-13137-5
OpenAlex
W4406782892
Cited by
38
References
68
Citations by year
2026: 31 · 2025: 7
FWCI
39.84
Type
journal article
Language
en
Open access
closed
Licence
Locations
Education and Information Technologies (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
Keywords
generative AI, scale development, scale validation, self-cognition, goal setting, self-reflection, self-efficacy, volition, university students, AI-assisted learning

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review