Adaptive Virtual Learning System Using Raspberry-Pi

Mobile-learning (M-learning) education has advanced considerably, ensuring that every student has equitable access to learning content. This advancement is due to the fact that research initiatives have discovered the potential for incorporating mobile devices in education, particularly in developing countries where there are inadequate infrastructure, equipment and textbooks. However, some aspects of M-learning, such as mobile-testing (M-testing), are still in the early developmental stages. The development of M-testing is important, as assessments and tests are important parts of the learning cycle. A potential solution to improving M-testing is the integration of well-known techniques in artificial intelligence that support adaptive and more informative functionalities on Moodle. This paper presents a virtual learning environments integrated with adaptive testing functionalities using Raspberry pi. The system have the potential to increase learning effectiveness for learners in remote villages as learners can browse learning content and do assessments offline. The findings suggest that personalized learning enhances learning effectiveness in terms of self-efficacy.