Use of Smart Learning Resource Management Systems for Sustainable Learning

Abstract

Technology advancements have an impact on how educational resources are used, which promotes learning for sustainable development. In contrast, open-learning resources were limited to collecting the necessary information for a variety of learners. The purpose of this research is to develop and study Smart learning resource management systems: SmartLearnX, STOU. Before being tested on bachelor's degree students enrolled in an online course emphasizing nanolearning style offered by an open university in Thailand, the system passed a quality control examination by a team of 15 specialists. The sampling group was 65 students from Humanities and Social Sciences, Science and Technology, and Health Science. They were given a pretest before and after using STOU SmartLearnX in the course, and their mean scores were compared by t-test dependent and one-way ANOVA. Mean posttest scores were statistically higher than pretest levels, but there was no significant difference in posttest scores to students in the group. The purpose of this research was to create the initial smart learning resource management systems that were necessary for accessing the learning resources. In the future, the technology could be developed to provide more precise results by utilizing advanced searches and photos. Searches should take into account the context and should be responsive.