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This book focuses on developing methods for constructing learning paths in terms of “learning resources” (learning contents), “learning approaches” (learning method), and “learning quality” (learning performance) to support learning. This book defines different teaching approaches for learning activities and organizes them into a learning path which indicates the learning sequence. This book introduces how to automatically generate well-structured learning resources for different students. Also, this book introduces a method about how to generate adaptive learning approach to learn learning resources for different students. Finally, this book introduces a method to monitor and control learning quality. The adaptive learning path expresses well-structured learning contents, using which approach to access those learning contents, and in which sequence to carry out the learning process. The learning path comes with a monitoring tool to control the learning progress, which helps to make students having a balanced development on different knowledge and abilities. Researchers who worked in E-learning area, both education and computer sciences people.Educators who worked in educational institutes, such as Universities, Schools, etc. They would like to use or study E-learning tools/technologies/methods in their own work.And technicians who run/design educational websites will understand the appeal of this work.
This book focuses on developing methods for constructing learning paths in terms of “learning resources” (learning contents), “learning approaches” (learning method), and “learning quality” (learning performance) to support learning. This book defines different teaching approaches for learning activities and organizes them into a learning path which indicates the learning sequence. This book introduces how to automatically generate well-structured learning resources for different students. Also, this book introduces a method about how to generate adaptive learning approach to learn learning resources for different students. Finally, this book introduces a method to monitor and control learning quality. The adaptive learning path expresses well-structured learning contents, using which approach to access those learning contents, and in which sequence to carry out the learning process. The learning path comes with a monitoring tool to control the learning progress, which helps to make students having a balanced development on different knowledge and abilities. Researchers who worked in E-learning area, both education and computer sciences people.Educators who worked in educational institutes, such as Universities, Schools, etc. They would like to use or study E-learning tools/technologies/methods in their own work.And technicians who run/design educational websites will understand the appeal of this work.
This volume constitutes the proceedings of the 17th International Conference on Intelligent Tutoring Systems, ITS 2021, held in Athens, Greece, in June 2021. Due to COVID-19 pandemic the conference was held virtually. The 22 full papers, 22 short papers and 18 other papers presented in this volume were carefully reviewed and selected from 87 submissions. Conforming to the current move of education, work and leisure online, the title of ITS 2021 was “Intelligent Tutoring Systems in an online world”. Its objective was to present academic and research achievements of computer and cognitive sciences, artificial intelligence, and, due to its recent emergence, specifically, deep learning in tutoring and education
This two-volume set (CCIS 1075 and CCIS 1076) constitutes the refereed proceedings of the Third International Conference on Advanced Informatics for Computing Research, ICAICR 2019, held in Shimla, India, in June 2019. The 78 revised full papers presented were carefully reviewed and selected from 382 submissions. The papers are organized in topical sections on computing methodologies; hardware; information systems; networks; software and its engineering.
This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Symposium, SETE 2017, held in conjunction with ICWL 2017, Cape Town, South Africa, in September 2017. The 52 full and 13 short papers were carefully reviewed and selected from 123 submissions. This symposium attempts to provide opportunities for the crossfertilization of knowledge and ideas from researchers in diverse fields that make up this interdisciplinary research area.
This book constitutes the refereed proceedings of the 9th International Conference on Web-Based Learning, ICWL 2010, held in Shanghai, China, in December 2010. The 36 revised full papers and 8 short papers presented were carefully reviewed and selected from 192 submissions. They deal with topics such as e-learning platforms and tools, technology enhanced learning, web-based learning for oriental languages, mobile/situated e-learning, learning resource deployment, organization and management, design, model and framework of e-learning systems, e-learning metadata and standards, collaborative learning and game-based learning, as well as practice and experience sharing and pedagogical Issues.
Technology is currently playing a vital role in revolutionizing education systems and progressing academia into the digital age. Technological methods including data mining and machine learning are assisting with the discovery of new techniques for improving learning environments in regions across the world. As the educational landscape continues to rapidly transform, researchers and administrators need to stay up to date on the latest advancements in order to elevate the quality of teaching in their specific institutions. Machine Learning Approaches for Improvising Modern Learning Systems provides emerging research exploring the theoretical and practical aspects of technological enhancements in educational environments and the popularization of contemporary learning methods in developing countries. Featuring coverage on a broad range of topics such as game-based learning, intelligent tutoring systems, and course modelling, this book is ideally designed for researchers, scholars, administrators, policymakers, students, practitioners, and educators seeking current research on the digital transformation of educational institutions.
Adaptive E-learning was proposed to be suitable for students with unique profiles, particular interests, and from different domains of knowledge, so profiles may consider specific goals of the students, as well as different preferences, knowledge level, learning style, rendering psychological profile, and more. Another approach to be taken into account today is the self-directed learning. Unlike the adaptive E-learning, the Self-directed learning is related to independence or autonomy in learning; it is a logical link for readiness for E-learning, where students pace their classes according to their own needs.This book provides information on the On-Job Training and Interactive Teaching for E-learning and is divided into four sections. The first section covers motivations to be considered for E-learning while the second section presents challenges concerning E-learning in areas like Engineering, Medical education and Biological Studies. New approaches to E-learning are introduced in the third section, and the last section describes the implementation of E-learning Environments.
This book constitutes the refereed proceedings of the 11th International Conference on Web-Based Learning, ICWL 2012, held in Sinaia, Romania, in September, 2012. The 28 revised full papers presented together with 10 short papers were carefully reviewed and selected from about 105 submissions. The papers are organized in topical sections on Computer Supported Collaborative Learning, Web 2.0 and Social Learning Environments; Personal Learning Environments; Learning Objects’ Management and Ontologies; Game-Based Learning; Personalized and Adaptive Learning; Feedback, Assessment and Learning Analytics; Design, Model and Implementation of E-Learning Platforms and Tools; Pedagogical Issues, Practice and Experience Sharing.
The two-volume set, LNICST 453 and 454 constitutes the proceedings of the 8th EAI International Conference on e-Learning, e-Education, and Online Training, eLEOT 2022, held in Harbin, China, in July 2022. The 111 papers presented in this volume were carefully reviewed and selected from 226 submissions. This conference has brought researchers, developers and practitioners around the world who are leveraging and developing e-educational technologies as well as related learning, training, and practice methods. The theme of eLEOT 2022 was “New Trend of Information Technology and Artificial Intelligence in Education”. They were organized in topical sections as follows: IT promoted Teaching Platforms and Systems; AI based Educational Modes and Methods; Automatic Educational Resource Processing; Educational Information Evaluation.