Teaching and learning are significantly influenced by information and communications technology (ICT). The goal of this study was to develop a new model and conduct confirmatory factor analysis to learn more about how students use ICT for digital learning as sustainability. The purpose of this research project was to investigate computer self-efficacy, computer anxiety, perceived enjoyment and acceptance of digital learning as sustainability at Saudi universities, based on students’ satisfaction with actual ICT usage for digital learning as sustainability. This research project made use of structural equation modelling with SEM-AMOS and an expanded variant of the technology acceptance model as the research model. A questionnaire based on the technology acceptance model and social cognitive theory was employed as the main data collection method and was distributed to 684 students from students at two universities. Students’ answers were categorized into seven categories and evaluated to determine how satisfied students were with ICT and how likely they were to continue using it for digital learning as sustainability. The findings revealed a connection between computer self-efficacy, computer anxiety and perceived enjoyment, factors which all played a significant role in perceived usefulness and ease of use. Perceived usefulness and ease of use also had an impact on students’ continued intention to use and satisfaction. This research-built model was effective in explaining students’ continued desire to use ICT and their satisfaction with it.
Education and learning have been significantly impacted by ICT. The purpose of this project is to create a new model and conduct confirmatory factor analysis in order to better understand how students utilize ICT in the classroom. An additional aim is to study, based on students’ attitudes and aspirations to utilize ICT for digital learning, their fundamental computer abilities, media-related skills, WBS, and adoption of digital learning technologies, by surveying students at Bisha University and King Faisal University. Structural equations modeling (SEM)-AMOS was used to survey 711 university students, and this study used an improved version of the Technology Acceptance Paradigm (TAM) approach as its research paradigm, as well as quantitative data collection and analytic methodologies. Students’ comments were divided into seven categories and analyzed to identify their attitudes toward and intentions for using ICT in learning environments. BCS, media-related abilities, and WBS all had a substantial influence on perceived usefulness and perceived ease of use, according to the research. This model, which was based on research, was successful in describing students’ attitudes and intentions about using ICT for digital learning.
Based on constructivism theory and the Information System Success Model, this study suggests a research model that examines the factors that influence students' collaborative engagement and satisfaction in an e-learning system setting. This study intends to validate the theoretical concepts and the Information System Success Model (ISSM) on e-learning platforms for user satisfaction and collaborative activity in order to expand the adoption of e-learning systems in higher education. This research used a questionnaire as the primary data collection method to obtain information for the study from 300 responses from different students at the University of Bisha, who all use e-learning platforms. The results were achieved using structural equation modeling, a quantitative research technique (SEM-AMOS). All of the study's hypotheses were supported, according to the findings of the structural model and hypothesis testing. The outcomes of peer interaction (IP) and instructor interaction (IL) have a favorable impact on satisfaction and teamwork, which have a beneficial impact on the usage of e-learning in higher education. This is advantageous for sustainability as well as the adoption of e-learning systems. Finally, the study demonstrates that user happiness and collaborative involvement have a favorable impact on the utilization of e-learning systems. As a result, universities should promote e-learning as a long-term educational strategy.