Psychometric Validity of a Tool for Assessing the Educational Quality of Blended Learning Systems

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Bibliographic Details
Title: Psychometric Validity of a Tool for Assessing the Educational Quality of Blended Learning Systems
Authors: Bárbara Mariana Gutiérrez-Pérez, Antonio Víctor Martín-García
Source: Journal of Educators Online. 2023 20(4).
Availability: Journal of Educators Online. Grand Canyon University, 23300 West Camelback Road, Phoenix, AZ 85017. e-mail: CIRT@gcu.edu. Web site: https://www.thejeo.com
Peer Reviewed: Y
Page Count: 15
Publication Date: 2023
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Psychometrics, Validity, Educational Quality, Blended Learning, Higher Education, Educational Methods, Evaluation, Factor Analysis, Statistical Analysis, Student Attitudes, Student Experience
ISSN: 1547-500X
Abstract: Quality assessment systems have recently expanded, serving as indicators for the assessment and ranking of higher education institutions worldwide. The growing development of new educational methodologies, like Blended Learning, requires the design and validation of tools that allow for their assessment. The objective of this article is to describe the process of statistically validating a tool designed to assess the educational quality of Blended Learning courses. This paper presents a systematic conceptualization of the educational quality in Blended Learning systems and provides a reliable and valid tool for quality assessment of the design and implementation of combined learning methodologies.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1407704
Database: ERIC
Description
Abstract:Quality assessment systems have recently expanded, serving as indicators for the assessment and ranking of higher education institutions worldwide. The growing development of new educational methodologies, like Blended Learning, requires the design and validation of tools that allow for their assessment. The objective of this article is to describe the process of statistically validating a tool designed to assess the educational quality of Blended Learning courses. This paper presents a systematic conceptualization of the educational quality in Blended Learning systems and provides a reliable and valid tool for quality assessment of the design and implementation of combined learning methodologies.
ISSN:1547-500X