Abstract-Currently, e-learning systems are becoming more popular. This is because e-learning systems provide learners freedom to study with unlimited time and at any location. But, most of the e-learning systems present the same learning content without regard to different learning styles of learners. Many learners have to adapt to different learning styles such as learning content from images which is not specifically targeted at their needs. Meanwhile, other learners may have aptitude in reading or from listening, etc. Therefore, learning and teaching processes are important issues that teachers need to adjust their teaching according to individual learners. If each learner obtains content that aligns with their own learning style, it will lead to more achievement.The purpose of this research is to synthesize the learning model of adaptive e-learning and e-mentoring system in order to recommend learners and analyze the VARK learning style (VARK is an acronym for visual, aural, read/write, and kinesthetic) by using data mining methodology. The synthesized model consists of four modules which are 1) esaB eluR KRAV eludoM2) VARK Learner Module 3) Content Module and 4) Learning Module.Index Terms-E-learning, adaptive learning, learning style, VARK learning style.
I. INTRODUCTIONLearning and teaching by using the e-learning system is a way to enhance learning and teaching capacity. The E-learning system is an evolution of information technology, network technology and multimedia technology to achieve maximum efficiency in education. E-learning systems are now widely accepted because it has the flexibility to adjust content, which will be up to date, provides an opportunity for everyone to learn and gives freedom of research without restrictions of time and location [1]. In addition, e-learning systems are also used as a communication tool between teacher and learner by using modern communication tools such as e-mail, web-board, chat, etc [2]. However, although e-learning is very useful, some e-learning systems are a self-learning system with no influence of achievement for the learner. Some learners may take more time than others to study contents as each learner has different ability to gain knowledge. The recognition of learner depends on individual factors, including experience, interest, aptitude, knowledge, wisdom, and learning plan. These factors influence the learning speed. In traditional e-learning systems, the focus was on the development of presentation rather than the consideration of individuality [3]. And traditional e-learning systems tend to lead to boredom, slow down of learning and underachieving. Therefore, the solution for an effective e-learning system is the development of an adaptive e-learning system [2] by focusing on the learner's learning style. Learning style means the physical characteristic, thought and feeling that individual uses to perceive, responsiveness and interaction with a stable environment. The learning style is one element that will help to enhance the learning process, pro...