Factors affecting digital technology access in vocational education.

If policies are not thoroughly designed, technology integration may fail. As a result, users' perceptions of technology, especially access to digital technology, are critical for technology integration in education. This study aimed to develop and validate a scale to model factors affecting digital technology access for instructional use in Indonesian vocational schools.

Science teachers' integration of digital resources in education: A survey in rural areas of one Indonesian province.

Digital resources can be implemented to support the quality of education, including for teachers teaching science. Studies have explored technology integration for schools in cities and urban areas; however, few studies focused on the technology integration in education of rural areas. Therefore, this study aimed at elaborating factors predicting Indonesian science teachers' integration of digital resources in education, especially for teaching activities in rural areas.

An Asian Perspective: The dataset for validation of Teachers' Information and Communication Technology Access (TICTA).

This dataset presents the validation process of a survey of factors affecting Indonesian K-12 school teachers' Teachers' Information and Communication Technology Access (TICTA). An initial instrument was developed through the adaptation of instruments from previous studies. Afterward, it was piloted to 120 teachers and tested for its reliability.

Data relating to factors affecting teachers' burnout: A sem analysis in an Asian context.

The dataset presents the relationship between Teacher Self-Concept (TSC) and Teacher Efficacy (TE) as the predictors predicting burnout. Three components of burnout involved are Emotional Exhaustion (EE), Depersonalization (DP), and Reduced Personal Accomplishment (RPA). Various statistical approaches such as Content Validity Index (CVI), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), Covariance-Based Structural Equation Modeling (CB-SEM) were addressed.

Teachers' burnout: A SEM analysis in an Asian context.

Researchers in educational psychology have researched Teacher Self-Concept (TSC) and Teacher Efficacy (TE) as two main predictors predicting burnout. Guided by a model developed by Zhu, Liu, Fu, Yang, Zhang & Shi (2018), the researchers aimed at building a model involving TSC, TE, and three components of burnout; Emotional Exhaustion (EE), Depersonalization (DP), and Reduced Personal Accomplishment (RPA) through Structural Equation Modeling (SEM). The researchers investigated predicting factors of burnout by reporting TSC and TE that might directly affect the components and examine the probability of TE to become a mediator of the correlation between TSC and burnout.

Antibacterial activity of Indonesian red algae against bacterial fish pathogens and characterization of active fractions.

In this study the crude ethyl acetate extracts and fractions from red algae were studied against fish pathogens. was extracted with ethyl acetate, fractionated in silica gel coloum chromatography and gradient hexane-ethyl acetate. The extract and fractions were subjected for bioassay guided isolation against fish pathogen spp and .