Dataset of the Factors Affecting Students’ Self-Directed Learning Readiness in the Blended Learning Model

Published: 3 June 2024| Version 1 | DOI: 10.17632/vzxyvmf85g.1
Contributor:
Thi Mai Huong Vu

Description

Dataset of the Factors Affecting Students’ Self-Directed Learning Readiness in the Blended Learning Model consists of two sheets of exel file. It is raw data exporting from Google form and coding to import SPSS solfware

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Steps to reproduce

This study surveyed 1,276 pre-service teachers in Vietnam engaged in a blended learning curriculum. Besides the Demographics section, the dataset includes three main parts: 1) Personal information; 2) Internal and external factors affecting the self-study of the respondents; 3) The readiness for self-study of the respondents (defining goals, tasks, planning, implementation, evaluation). In parts 2 and 3, for each statement, there are 5 levels of response which are specifically described in each question.Data were quantitatively analyzed using SPSS, employing multiple regression, simple regression, variance analysis, and T-tests. The latent variables examined in this research encompass student demographics, intrinsic factors, extrinsic factors, and the degree of self-directed learning preparedness.

Institutions

Hanoi National University of Education

Categories

Higher Education, Blended Learning, Database

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