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MICAI 2009: Advances in Artificial Intelligence
This book constitutes the refereed proceedings of the 8th Mexican International Conference on Artificial Intelligence, MICAI 2009, held in Guanajuato, Mexico, in November 2009. The 63 revised full papers presented together with one invited talk were carefully reviewed and selected from 215 submissions. The papers are organized in topical sections on logic and reasoning, ontologies, knowledge management and knowledge-based systems, uncertainty and probabilistic reasoning, natural language processing, data mining, machine learning, pattern recognition, computer vision and image processing, robotics, planning and scheduling, fuzzy logic, neural networks, intelligent tutoring systems, bioinformatics and medical applications, hybrid intelligent systems and evolutionary algorithms.
Intelligent Tutoring Systems
This book constitutes the proceedings of the 14th International Conference on Intelligent Tutoring Systems, IST 2018, held in Montreal, Canada, in June 2018. The 26 full papers and 22 short papers presented in this volume were carefully reviewed and selected from 120 submissions. In the back matter of the volume 20 poster papers and 6 doctoral consortium papers are included. They deal with the use of advanced computer technologies and interdisciplinary research for enabling, supporting and enhancing human learning.
Intelligent Tutoring Systems
This book constitutes the proceedings of the 15th International Conference on Intelligent Tutoring Systems, ITS 2019, held in Kingston, Jamaica, in June 2019. The 14 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 42 submissions. In the back matter of the volume 4 poster papers are included. They deal with the use of advanced computer technologies and interdisciplinary research for enabling, supporting, and enhancing human learning.
Intelligent Tutoring Systems
This volume constitutes the proceedings of the 16th International Conference on Intelligent Tutoring Systems, ITS 2020, held in Athens, Greece, in June 2020. The 23 full papers and 31 short papers presented in this volume were carefully reviewed and selected from 85 submissions. They reflect a variety of new techniques, including multimodal affective computing, explainable AI, mixed-compensation multidimensional item response, ensemble deep learning, cohesion network analysis, spiral of silence, conversational agent, semantic web, computer-supported collaborative learning, and social network analysis.
Integrating Cutting-Edge Technology Into the Classroom
The upheavals of technological advancements and the COVID-19 pandemic have reshaped the traditional contours of education, creating a pressing need for innovative solutions to bridge the gap between traditional classrooms and the evolving demands of remote or hybrid learning. As we grapple with these changes, it becomes increasingly evident that the integration of new technology is not just a preference but a necessity to ensure educational resilience and adaptability. Integrating Cutting-Edge Technology Into the Classroom delves into the profound impact of technological disruptions on teaching methodologies, student engagement, and overall learning outcomes. This book doesn't merely documen...
Advances in Computational Intelligence
The two-volume set LNAI 10632 and 10633 constitutes the proceedings of the 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, held in Enseneda, Mexico, in October 2017. The total of 60 papers presented in these two volumes was carefully reviewed and selected from 203 submissions. The contributions were organized in the following topical sections: Part I: neural networks; evolutionary algorithms and optimization; hybrid intelligent systems and fuzzy logic; and machine learning and data mining. Part II: natural language processing and social networks; intelligent tutoring systems and educational applications; and image processing and pattern recognition.
Advances in Soft Computing
The two-volume set LNAI 10632 and 10633 constitutes the proceedings of the 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, held in Enseneda, Mexico, in October 2017. The total of 60 papers presented in these two volumes was carefully reviewed and selected from 203 submissions. The contributions were organized in the following topical sections: Part I: neural networks; evolutionary algorithms and optimization; hybrid intelligent systems and fuzzy logic; and machine learning and data mining. Part II: natural language processing and social networks; intelligent tutoring systems and educational applications; and image processing and pattern recognition.
Language Learning and Literacy
Teaching language learners has long presented challenges for teachers who are tasked with leading these students to a level of language comprehension comparable to that of native speakers. As the need for language learning increases, it is essential that educators devise more innovative and efficient learning strategies. Language Learning and Literacy: Breakthroughs in Research and Practice examines the trends, challenges, issues, and strategies of foreign language literacy and learning. The book also examines the relationship between language education and technology and the potential for curriculum enhancements through the use of mobile technologies, flipped instruction, and language-learning software. This two-volume publication is an ideal reference source for instructional designers, education administrators, educators, academicians, researchers, scholars, and graduate-level students interested in seeking current research on effective teaching strategies for teachers of language learners.
