A calibrated scale to measure heritage learning in digital environments. A network analysis approach.

ABSTRACT: To date, there have been scarcely any published studies dedicated to developing instruments with sufficient guarantees of accuracy, validity, and reliability for the assessment of heritage learning in digital contexts. Furthermore, very few such studies on this subject have employed the network analysis methodology. The present study seeks to address these research gaps by applying network analysis methodology to the responses of 1323 participants concerning 49 items grouped into seven dimensions constituting the Heritage Learning Sequence (knowing, understanding, respecting, valuing, caring, enjoying, and transmitting). Network estimation was conducted using the Gaussian Graphical Model with regularization, ensuring both the accuracy of the network and the stability of centrality indices.

SUBMITTER: Fontal O 

PROVIDER: S-EPMC11570299 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature