With rapid advances in the development of information technology, information access has become central to life in the 21st century. In recent years, the development of useful learning-assistance systems has become a popular topic in literature. Learners can benefit from guidance provided by a tool that assists learning when a student has trouble using an e-learning platform. An effective learning-assistance tool can reduce teacher workload and increase the time spent giving individual guidance to learners who fall behind. However, few machine-learning techniques have been used as learning-assistance tools in literature to determine learner status or provide feedback to learners and teachers. Therefore, this work employs a learning-assistance tool that uses learning-reinforcement techniques to continuously interact with an environment and provides learners with suitable and timely feedback to guide students through difficulties, inspire them, and help them complete assigned tasks. The learning-assistance tool can promote learners' information and communication technology (ICT) literacy and assist learners in overcoming difficulties. Furthermore, teacher workload is significantly reduced because appropriate hints or feedback are automatically delivered to learners without teacher involvement. (Contains 14 tables and 3 figures.)