Adaptive Learning Systems Amid Cultural Differences: Design and Efficacy Insights

Amal Altalhi ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2025, vol. 8, issue 1, 150-161

Abstract: Considering the research gap in the cultural influence on the efficacy and design of Adaptive Learning Systems (ALS), the study proposes the Culturally Attuned Adaptive Learning Theory (CAALT). CAALT is derived from theoretical constructs related to cultural dimensions, learning activities, and the implementation of ALS and was developed using the Thought Gear model through a review of 17 academic papers. CAALT is built on three key propositions: (1) students may resist learning activities that conflict with their cultural values; (2) cultural dynamics significantly affect ALS performance due to their critical role in implementation; and (3) there is a demand for designing adaptive learning models that incorporate cultural dimensions. While learning activities primarily influence efficacy, cultural dynamics and dimensions play a greater role in system design.

Keywords: Adaptive Learning System; Cultural influence; Culturally Attuned Adaptive Learning Theory (CAALT); Thought Gear Model (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:das:njaigs:v:8:y:2025:i:1:p:150-161:id:360

Access Statistics for this article

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 is currently edited by Justyna Żywiołek

More articles in Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 from Open Knowledge
Bibliographic data for series maintained by Open Knowledge ().