Arpan Deyasi - Computational Intelligence in Digital Pedagogy

The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included. The list of topics spans all the areas of modern intelligent systems such as: Ambient intelligence, Computational intelligence, Social intelligence, Computational neuroscience, Artificial life, Virtual society, Cognitive systems, DNA and immunity-based systems, e-Learning and teaching, Human-centred computing and Machine ethics, Intelligent control, Intelligent data analysis, Knowledge-based paradigms, Knowledge management, Intelligent agents, Intelligent decision making, Intelligent network security, Interactive entertainment, Learning paradigms, Recommender systems, Robotics and Mechatronics including human-machine teaming, Self-organizing and adaptive systems, Soft computing including Neural systems, Fuzzy systems, Evolutionary computing and the Fusion of these paradigms, Perception and Vision, Web intelligence and Multimedia.

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If the mountain will not come to Muhammad, then Muhammad must go to the mountain, Francis Bacon writes in his essays in the year 1625. Quoting this, Swami Vivekananda introduces Maharaja of Mysore to a new idea in a letter written to him in the year 1894 that If the poor boy cannot come to education, education must go to him. Not leaving at that Vivekananda also suggests a technique though rudimentary yet befitting its time. In the wake of Digital Revolution, taking the education to the doorstep of one and all with ease is a dream coming true for every educationalist.

Education with adroit promptness has at all times incorporated the then-emerging technologies in appropriate measure for its promotion and propagation. We are now in the era of data science, during which time it has become both trend and trade for a mass of apparently insignificant data to be subjected to the lens of algorithmic scrutiny in the hope of revealing meaningful insights into the past, present and/or future. The seemingly unobjective targets that have suffered so long with subjective bias are now, with improved precision, being rendered as estimable and thereby actionable metric. Such a reality is presented before us by a plethora of tools and techniques that have been developed over a period of time under the umbrella of soft computing which in its ever-evolving state is being broadly addressed as computational intelligence.

Computational intelligence has found application in every line of business that can promise to quantify facts and figures. Digital pedagogy being one such has been chosen as the theme of this compilation in which a lot of practitioners and researchers in the field of education have contributed their thought-provoking articles, their findings that can change the way we are practicing pedagogy, and their suggestions for the improvement of practices in vogue keeping intact the principle and philosophy of pedagogy. The time is opportune for such a publication to reach the eager educator to benefit.