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Throughout human life, there is a continuity of running behind different needs which may or may not be satisfied. At the same time, due to rapid and unexpected changes in the society and environment, human personality and the behavior are being affected. Living in a society, to lead a healthy and successful life, there is a need to compromise and build a harmonious relationship with the society and environment. And this compromise between the needs of the individual and the demands of the community in which one lives is termed as “Adjustment” by many psychologists. The concept of “Adjustment” was first given by Darwin, who used it as an adaptation to survive in the physical world. Adjustment is an essential factor in the life of human, which is a continuous process and ends with life.
Education is one of the most authentic tool for socio-economic mobility and a key instrument for building an equitable, just and human society. It aims at developing enviable character image in the student rather than imposing a quantum of knowledge. Being an integrative force in society, education can impart values, provide skills and competencies to students, and foster social cohesion and national identity. The task of education is to inculcate desirable psychological and affective qualities among students along with cognitive advancement. By considering these aspects, the investigator judiciously develops two value based strategies namely UNIQUE Strategy and BAND Strategy based on the existing pedagogical strands to ensure effective value education at higher secondary level.
This is an open access book. The 2022 3rd International Conference on Artificial Intelligence and Education(ICAIE 2022) will be held in Chengdu, China during June 24-26, 2022. The meeting focused on the new trends in the development of "artificial intelligence" and "education" under the new situation, and jointly discussed how to empower and promote the high-quality development of "artificial intelligence" and "education". An ideal platform to share views and experiences with industry experts. The conference invites experts and scholars in the field to conduct wonderful exchanges based on their own research results based on the development of the times. The themes are around artificial intelligence technology and applications; intelligent and knowledge-based systems; information-based education; intelligent learning; advanced information theory and neural network technology ; software computing and algorithms; intelligent algorithms and computing and many other topics.
We are delighted to present the Proceedings of the 4th International Conference on Innovation in Education, Science and Culture (ICIESC) that organized by Research and Community Service Centre of Universitas Negeri Medan (LPPM UNIMED). Proceedings of the 4th ICIESC contains several papers that have presented at the seminar with theme Education and Science in time of uncertainty: Recovering for the Future. This conference was held on 11 October 2022 virtually and become a routine agenda annually. The 4th ICIESC was realized this year with various presenters, lecturers, researchers and students from universities both in and out of Indonesia. The 4th International Conference on Innovation in Education, Science and Culture (ICIESC) 2022 shows up as a Mathematics and Natural Science, Material Science, Physics Education, Biology Education, Chemistry Education, Vocational Education, Applied Sciences-Computers, Multimedia Technology, Applied Mathematics, E-learning system, Applied Sciences-Information Technology, Applied Sciences-Engineering, Social Science and Humanities, Management Innovation and Heritage Culture research platform to gather presentations and discussions of recent achievements by leading researchers in academic research. With the number participants 260 participants, who came from the various national and international universities member, research institute, and academician. There are 181 papers passed through rigorous reviews process and accepted by the committee. All of papers reflect the conference scopes and become the latest trend. It has been our privilege to convene this conference. Our sincere thanks, to the conference organizing committee; to the Program Chairs for their wise advice and brilliant suggestion on organizing the technical program and to the Program Committee for their through and timely reviewing of the papers. Recognition should go to the Local Organizing Committee members who have all worked extremely hard for the details of important aspects of the conference programs and social activities. We welcome you to read this proceeding and hope the reader can find according to your interests and scientific field.
In this groundbreaking handbook, more than 60 internationally respected authorities explore the interface between intelligence and personality by bringing together a wide range of potential integrative links drawn from theory, research, measurements, and applications.
This book is part of a two-volume work that constitutes the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2007, held in Shanghai, China, September 2007. Coverage includes advanced neural network theory, advanced evolutionary computing theory, ant colonies and particle swarm optimization, intelligent modeling, monitoring, and control of complex nonlinear systems, as well as biomedical signal processing, imaging and visualization.
“Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.” – Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry. The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic: The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence. The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance. The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term “Artificial Intelligence,” especially as it relates to the financial industry. The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the author’s two decades of professional experience as a technologist, quant and academic.
This book, Artificial General and Super Intelligence in Education: Theoretical Foundations, Practical Applications, and Future Implications, is an endeavor to explore the possibilities, opportunities, and challenges that AGI and ASI may bring to the educational sector. It delves into the intricate details of what AGI and ASI entail, highlighting how these advanced forms of intelligence might one day emulate or surpass human intelligence. By considering both the technological frameworks and the educational implications of AGI and ASI, this book aims to provide a holistic examination of how these technologies could fundamentally alter the roles of educators, the experiences of learners, and the structure of educational institutions.
This book constitutes the refereed proceedings of the 18th International Conference on Artificial Intelligence in Education, AIED 2017, held in Wuhan, China, in June/July 2017. The 36 revised full papers presented together with 4 keynotes, 37 poster, presentations, 4 doctoral consortium papers, 5 industry papers, 4 workshop abstracts, and 2 tutorial abstracts were carefully reviewed and selected from 159 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas.