Teacher Digital Literacy Assessment SEM Dataset (N=368)

It adopts a structured questionnaire approach and uses a 3-point Likert scale (1-3 points) for standardized measurement, ensuring high data integrity with no missing values.1. Dataset CompositionThe dataset consists of 19 variables, categorized into two core modules:Demographic Variables (5 items): Include Gender (Female/Male), Age_Group (25-34/35-44/45-54/55+), Degree_Level (Bachelor/Master/Doctoral), Teaching_Experience (1-5 yrs/6-10 yrs/>10 yrs), and Institution_Type (Urban/Semi-Urban).

These variables support group difference analysis across teacher backgrounds.Digital Literacy Assessment Variables (14 items): Measure teacher digital literacy from 7 key dimensions, with 2 items per dimension:TDL (Teacher Digital Literacy): Core literacy level evaluationIDQ (Information Discrimination Quality): Ability to identify and evaluate informationFPW (Functional Proficiency with Web Tools): Skill in using digital toolsMS (Multimedia Skills): Competence in creating and applying multimedia resourcesHTP (Higher-Order Thinking Processes): Critical thinking and problem-solving in digital contextsADR (Adaptation, Design, and Remediation): Innovation and adaptive application abilitiesPG (Professional Growth): Digital literacy-driven professional development2.