This study aims to identify the factors influencing the effectiveness of digital learning among university students. The main focus of the research is to examine the impact of easy-to-use, competency development on websites, and motivation to learn on learning effectiveness. The study employs a quantitative approach with a survey method, where data was collected through online questionnaires distributed to final-year students at Universitas PGRI Malang. Out of 300 distributed questionnaires, 204 were returned and deemed complete, thus used as the final sample for analysis. The data were analyzed using Structural Equation Modeling (SEM) techniques with the help of SmartPLS software to examine the relationships between variables. The results show that ease of use has a significant impact on motivation to learn, but does not have a direct impact on learning effectiveness. Competency development on websites does not have a significant impact on motivation to learn, but it does have a significant impact on learning effectiveness. Additionally, motivation to learn was found to have a significant impact on learning effectiveness and mediates the relationship between ease of use and learning effectiveness, but does not mediate the relationship between competency development on websites and learning effectiveness.

In India, higher education institutions (HEIs) are realizing the value of green interaction, which includes using social media (S.M.) in an environmentally responsible manner. However, there needs to be more consistency on the adoption's present status, the particular tactics used, and the advantages that follow. The current research investigates the various aspects of sustainable communication and its benefits in HEIs throughout India. Through a questionnaire approach, the research enrolled learners across India. The study model's conceptual structure was validated, and its assumptions were proven through the implementation of a quantitative survey. The number of accepted samples was calculated using a conceptual model, and data analysis was performed using the structural equation model (SEM). There were 500 respondents in the study, ranging in age and academic degree and from different institutions of higher learning. The age range of 280 women and 220 men was 80% between 19 and 28. Respondents employed prominent S.M. sites (Twitter, LinkedIn, and Facebook) with purpose and had robust computer abilities. The results demonstrated that inspiration for employing S.M., S.M. characteristics, and information exchange had a favorable impact on students' opinions of user-friendliness and the benefits of digital learning platforms, raising their adoption of them. The research strategy in this investigation delivers suggestions for additional exploration into how HEIs in India may maximize the advantages and utilization of digital learning systems and can be an efficient structure for similar study ventures.