On the concept of learning transfer for continuous and online training: a literature review
Open accessAbstract
This work presents a bibliographic review of research related to the subject of learning transfer. Here, we seek to understand its concept, its dimensions, and the factors that influence its achievement. The review allowed us to verify empirical studies carried out that show which variables can facilitate or hinder transference, as well as the most suitable methodology to favor it and indicate considerations that should be taken into account in order to research learning transference in a continuous teacher training. The purpose of this review was to discuss the concept of learning transfer in order to propose a research on this subject in a context of continuous online training, once a lack of studies focused on this modality was detected. In order to analyze learning transfer in this context, we considered it necessary to confirm if the competences, skills, and knowledge acquired through e-learning could be applied in a pedagogical practice of participating teachers; this, in turn, would allow for the obtainment of guidelines for future educational strategies of continuous online training.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Tool-supported performance must be distinguished from durable capability development: performance gains produced by GenAI do not necessarily constitute learning or skill acquisition.
“Tool-supported performance must also be distinguished from durable capability development: performance gains produced by GenAI do not necessarily constitute learning or skill acquisition (Fauth and González-Martínez, 2021; Melumad and Yun, 2025; Yan et al., 2025).”
From Responsible use of generative AI in Chinese vocational education: eye-tracking evidence on source verification and immediate near-transfer across three information-seeking conditions (2026) · cites this paper as Fauth and González-Martínez, 2021
Cites
The Discovery of Grounded Theory; Strategies for Qualitative Research
Glaser, B. G., Strauss, A. L., & Strutzel, E. (1968) · Nursing Research · doi:10.1097/00006199-196807000-00014 · Cited by 39,449 · see citing works
Transfer of Training: A Meta-Analytic Review
Blume, B. D., Ford, J. K., Baldwin, T. T., & Huang, J. L. (2010) · Journal of Management · doi:10.1177/0149206309352880 · Cited by 1,477 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Ma, J., Yue, H., & Li, X. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1946196
- Authors
- Fauth, F., & González-Martínez, J.
- Affiliations
- Universitat de Girona (ES)
- Department of Pedagogy, Faculty of Education and Psychology, University of Girona, 17004 Girona, Spain
- Corresponding author
- Fauth, Fernanda
- Venue
- Education Sciences
- Publisher
- MDPI AG
- Published
- 2021-03-18
- Volume
- 11
- Issue
- 3
- Pages
- 133
- ISSN
- 2227-7102 (ISSN-L)
- OpenAlex
- W3136402626
- Cited by
- 32
- References
- 2
- Citations by year
- 2026: 9 · 2025: 4 · 2024: 7 · 2023: 10 · 2021: 2
- FWCI
- 4.05
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Education Sciences (publishedVersion, cc-by)
- Universitat de Girona Digital Repository (Universitat de Girona) (acceptedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Universitat de Girona Digital Repository (Universitat de Girona) (submittedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, other-oa)
- Funders
- Generalitat de Catalunya (2018 DI 96)
- Topics
- Social Sciences › Psychology › Applied Psychology › Human Resource Development and Performance Evaluation
- Social Sciences › Education › Online and Blended Learning
- Social Sciences › Education › Teacher Education and Leadership Studies
- Keywords
- transfer of learning, continuous teacher training, online training, online learning, teacher professional development, teaching practice, educational strategies
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