Role of Adaptive Machine Learning in Educational Environment.
G J Solanke · International Journal of Modern Trends in Engineering and Research · 2016
Adaptive learning is playing very vital role in educational models. It represent as computer based online education system that modifies study material presentation based on performance of students. This is intelligent technique of digital learning, where it captures each and every decision made by students and then on the learning experiences of student provides summative and formative data to be understood. Recently adaptive learning technology is used for simulation training in NASA, safety model in US army for educating soldiers in warfare. It has greatest potential in educational model from KG to higher education. Keywords— Machine Learning, Adaptive Learning. I. INTRODUCTION TO MACHINE LEARNING Machine Learning is branch of artificial intelligence which is able to design programs that can learn rules from data, system becomes adaptable to changes, and enhance performance by taking experience. This is the technology that can fulfil dreams of Computer Science, Machine Learning solves complex problems has becomes more popular and integrated into our daily lives. Coding of computer program means writing sequence of instructions which can be executed millions times faster than human being. Yet many of the problems we now want computers to solve are no longer tasks we know the method of explaining to computer how to do task. Consider the application like identifying faces in images, driving autonomously in the desert, searching relevant documents from large database or detecting irrelevant ones, like spam email), recognizing patterns in large volumes of scientific or applicative data, and controlling parameters of systems to increase performance. We know, we can directly identify people in photographs, but we cant explain it directly to computer. For this, need methods that take input as labeled training data (images labeled by identity of person, or email labeled by spam or non -spam). After that learning appropriate rules from such data. This is the best approaches for finding solution to these problems. So, we require a systems that may be adaptable to changing environment, can be self- modifiable, self-monitoring and that can increase performance massively over time.