This book emphasizes that learning efficiency of the learners can be
increased by providing personalized course materials and guiding them to
attune with suitable learning paths based on their characteristics such
as learning style, knowledge level, emotion, motivation, self-efficacy
and many more learning ability factors in e-learning system. Learning is
a continuous process since human evolution. In fact, it is related to
life and innovations. The basic objective of learning to grow, aspire
and develop ease of life remains the same despite changes in the
learning methodologies. Introduction of computers empowered us to attain
new zenith in knowledge domain, developed pragmatic approach to solve
life's problem and helped us to decipher different hidden patterns of
data to get new ideas. Of late, computers are predominantly used in
education. Its process has been changed from offline to online in view
of enhancing the ease of learning. With the advent of information
technology, e-learning has taken centre stage in educational domain. In
e-learning context, developing adaptive e-learning system is buzzword
among contemporary research scholars in the area of Educational Data
Mining (EDM). Enabling personalized systems is meant for improvement in
learning experience for learners as per their choices made or
auto-detected needs. It helps in enhancing their performance in terms of
knowledge, skills, aptitudes and preferences. It also enables speeding
up the learning process qualitatively and quantitatively. These
objectives are met only by the Personalized Adaptive E-learning Systems
in this regard. Many noble frameworks were conceptualized, designed and
developed to infer learning style preferences, and accordingly, learning
materials were delivered adaptively to the learners. Designing
frameworks help to measure learners' preferences minutely and provide
adaptive learning materials to them in a way most appropriately.
