Award Date

December 2025

Degree Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Teaching and Learning

First Committee Member

Katrina Liu

Second Committee Member

Kendall Hartley

Third Committee Member

Shaoan Zhang

Fourth Committee Member

Ching-Chen Chen

Number of Pages

202

Abstract

The growing societal emphasis on computer and information literacy (CIL) makes identifying its key influencing factors essential to effective talent development. However, the applicability of Walberg’s theory of educational productivity to the CIL field remains untested, and a comprehensive comparison of the data-driven paradigm with the traditional theory-driven paradigm remains lacking. Therefore, with data collected from 2,352 U.S. eighth-grade students in the International Computer and Information Literacy Study (ICILS) 2023, the theory of educational productivity initially incorporated into the field of CIL. Additionally, the predictive efficacy of theory-driven modeling and data-driven modeling was further compared. Results showed that across both research paradigms, student motivation, digital resources, and teaching quality were more highly correlated with CIL achievement than other influencing factors. This study provided preliminary evidence for the applicability of educational productivity theory to the emerging field of CIL. Its paradigm comparison also offered a reference for future research methods and provided data-informed implications for curriculum design, teacher development, and educational resource allocation.

Keywords

computer and information literacy; educational productivity theory; ICILS 2023; predictive modeling

Disciplines

Teacher Education and Professional Development

Degree Grantor

University of Nevada, Las Vegas

Language

English

Rights

IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

Available for download on Friday, December 15, 2028


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