2,016
Views
10
CrossRef citations to date
0
Altmetric
Articles

Rethinking andragogical assumptions in the global age: how preferences for andragogical learning vary across people and cultures

ORCID Icon, ORCID Icon &
Pages 14-38 | Received 20 Aug 2019, Accepted 14 Feb 2020, Published online: 12 Mar 2020
 

ABSTRACT

We investigated whether andragogical assumptions and their common critiques are reflected in global PIAAC data using its motivation-to-learn (MtL) and elaboration scales. A preliminary validation study with 300 adults revealed that andragogical assumptions cluster on these scales’ two factors. Using hierarchical linear modelling of PIAAC data, we then investigated whether andragogical learning preferences varied across countries, and as a function of a learner’s age, gender, education level, and occupation type. We then identified six country-level predictors from relevant theory to explain cross-country variation. Preferences varied across countries, decreased with age, and increased with educational level and occupational skill. Men had stronger preferences than women. A country’s cultural value dimensions and its ability to meet its citizens’ basic needs explained about half of the variation in preferences across countries. Preferences for andragogical learning were highest in Western countries, and among adults with similar demographics as Knowles. Implications for research and practice are discussed.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 407.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.