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Author: Borhan Samei Publisher: ISBN: Category : Languages : en Pages :
Book Description
Speech act classification is the task of detecting speakers' intentions in discourse. Speech acts are based on the language as action theory according to which when we say something we do something. Speech act classification has various application in natural language processing and dialogue-based intelligent systems. In this thesis, we propose machine learning models for speech act classification that account for both content of the current utterance and context (previous utterances) of dialogue and we present this work on two domains: human-human tutoring sessions and multi-party chat based intelligent tutoring systems. The proposed speech act classification models were trained and tested on chat utterances extracted from the tutoring sessions and based on the domain specific properties of the datasets were designed to work with hierarchical and granular speech act taxonomies.
Author: Borhan Samei Publisher: ISBN: Category : Languages : en Pages :
Book Description
Speech act classification is the task of detecting speakers' intentions in discourse. Speech acts are based on the language as action theory according to which when we say something we do something. Speech act classification has various application in natural language processing and dialogue-based intelligent systems. In this thesis, we propose machine learning models for speech act classification that account for both content of the current utterance and context (previous utterances) of dialogue and we present this work on two domains: human-human tutoring sessions and multi-party chat based intelligent tutoring systems. The proposed speech act classification models were trained and tested on chat utterances extracted from the tutoring sessions and based on the domain specific properties of the datasets were designed to work with hierarchical and granular speech act taxonomies.
Author: Duanli Yan Publisher: CRC Press ISBN: 1351264796 Category : Computers Languages : en Pages : 581
Book Description
"Automated scoring engines [...] require a careful balancing of the contributions of technology, NLP, psychometrics, artificial intelligence, and the learning sciences. The present handbook is evidence that the theories, methodologies, and underlying technology that surround automated scoring have reached maturity, and that there is a growing acceptance of these technologies among experts and the public." From the Foreword by Alina von Davier, ACTNext Senior Vice President Handbook of Automated Scoring: Theory into Practice provides a scientifically grounded overview of the key research efforts required to move automated scoring systems into operational practice. It examines the field of automated scoring from the viewpoint of related scientific fields serving as its foundation, the latest developments of computational methodologies utilized in automated scoring, and several large-scale real-world applications of automated scoring for complex learning and assessment systems. The book is organized into three parts that cover (1) theoretical foundations, (2) operational methodologies, and (3) practical illustrations, each with a commentary. In addition, the handbook includes an introduction and synthesis chapter as well as a cross-chapter glossary.
Author: Vasile Rus Publisher: ISBN: Category : Languages : en Pages : 8
Book Description
In this paper we address the important task of automated discovery of speech act categories in dialogue-based, multi-party educational games. Speech acts are important in dialogue-based educational systems because they help infer the student speaker's intentions (the task of speech act classification) which in turn is crucial to providing adequate feedback and scaffolding. A key step in the speech act classification task is defining the speech act categories in an underlying speech act taxonomy. Most research to date has relied on taxonomies which are guided by experts' intuitions, which we refer to as an extrinsic design of the speech act taxonomies. A pure data-driven approach would discover the natural groupings of dialogue utterances and therefore reveal the intrinsic speech act categories. To this end, this paper presents a fully-automated data-driven method to discover speech act taxonomies based on utterance clustering. Experiments were conducted on three datasets from three online educational games. This work is a step towards building speech act taxonomies based on both extrinsic (expert-driven) and intrinsic aspects (data-driven) of the target domain. (Contains 5 tables and 1 footnote.) [For the complete proceedings, "Proceedings of the International Conference on Educational Data Mining (EDM) (5th, Chania, Greece, June 19-21, 2012)," see ED537074.].
Author: Robert A. Sottilare Publisher: Springer ISBN: 3030223418 Category : Computers Languages : en Pages : 664
Book Description
This book constitutes the refereed proceedings of the First International Conference on Adaptive Instructional Systems, AIS 2019, held in July 2019 as part of HCI International 2019 in Orlando, FL, USA. HCII 2019 received a total of 5029 submissions, of which 1275 papers and 209 posters were accepted for publication after a careful reviewing process. The 50 papers presented in this volume are organized in topical sections named: Adaptive Instruction Design and Authoring, Interoperability and Standardization in Adaptive Instructional Systems, Instructional Theories in Adaptive Instruction, Learner Assessment and Modelling, AI in Adaptive Instructional Systems, Conversational Tutors.
Author: Benjamin Goldberg Publisher: U.S. Army Combat Capabilities Development Command – Soldier Center ISBN: 099772577X Category : Computers Languages : en Pages : 194
Book Description
This book on self-improving systems is the seventh in a planned series of books that examine key topics (e.g., learner modeling, instructional strategies, authoring, domain modeling, assessment, impact on learning, team tutoring, self-improving systems, data visualization) in intelligent tutoring system (ITS) design. This book focuses on self-improving systems. The discussion chapters in this book examine topics through the lens of the Generalized Intelligent Framework for Tutoring (GIFT). GIFT is a modular, service-oriented architecture created to reduce the cost and skill required to author ITSs, distribute ITSs, manage instruction within ITSs, and evaluate the effect of ITS technologies on learning, performance, retention, transfer of skills, and other instructional outcomes.
Author: Thomas Holtgraves Publisher: Oxford Library of Psychology ISBN: 0199838631 Category : Medical Languages : en Pages : 569
Book Description
This title provides an innovative compilation of research that lies at the intersection of language and social psychology. The contributors address the role of social processes in language, the linguistic underpinnings of social psychological processes, the creation of meaning, and the important role played by language and social psychology in applied topics.
Author: Stefano A. Cerri Publisher: Springer ISBN: 364230950X Category : Education Languages : en Pages : 757
Book Description
This book constitutes the refereed proceedings of the 11th International Conference on Intelligent Tutoring Systems, ITS 2012, held in Chania, Crete, Greece, in June 2012. The 28 revised full papers, 50 short papers, and 56 posters presented were carefully viewed and selected from 177 submissions. The specific theme of the ITS 2012 conference is co-adaption between technologies and human learning. Besides that, the highly interdisciplinary ITS conferences bring together researchers in computer science, informatics, and artificial intelligence on the one side - and cognitive science, educational psychology, and linguistics on the other side. The papers are organized in topical sections on affect/emotions, affect/signals, games/motivation and design, games/empirical studies, content representation, feedback, non conventional approaches, conceptual content representation, assessment constraints, dialogue, dialogue/questions, learner modeling, learning detection, interaction strategies for games, and empirical studies thereof in general.
Author: Samantha Jiménez Publisher: Springer ISBN: 3319931970 Category : Computers Languages : en Pages : 88
Book Description
Affective components are as important as cognitive components in tutoring assisted learning process. Feedback from tutors is essential in keeping students motivated. Affectivity and motivation are also significant in computer-based tutoring systems. However, several educational frameworks do not include this kind of interaction between students and tutoring systems. In those cases, the students learning interest and motivation to learn could be negatively affected, and student profits from the system could be impoverished. This is why tutoring systems need to provide direct and affective interaction with students; it can encourage them and increase the motivation to learn. This book introduces a broad range of topics in affective learning in computer-based systems. The text offers a deep conceptual background, covering relevant concepts of affectivity, feedback and motivational components in learning environments. It describes the design of a proposed model for providing affective feedback, the mathematical validation of the conceptual model and its implementation. Moreover, it presents an analysis of the impact of the affective feedback on student motivation to learn. Finally, the book offers research perspectives of the impact and applicability of the affective feedback in computer-based tutoring environments. Affective Feedback in Intelligent Tutoring Systems can be used by human tutors who want to include motivational and affective elements in the learning process, researchers in Human-Computer Interaction and Education and by software developers who want to develop learning systems using these elements.
Author: Ning Wang Publisher: Springer Nature ISBN: 3031362721 Category : Computers Languages : en Pages : 863
Book Description
This book constitutes the refereed proceedings of the 24th International Conference on Artificial Intelligence in Education, AIED 2023, held in Tokyo, Japan, during July 3-7, 2023. This event took place in hybrid mode. The 53 full papers and 26 short papers presented in this book were carefully reviewed and selected from 311 submissions. The papers present result in high-quality research on intelligent systems and the cognitive sciences for the improvement and advancement of education. The conference was hosted by the prestigious International Artificial Intelligence in Education Society, a global association of researchers and academics specializing in the many fields that comprise AIED, including, but not limited to, computer science, learning sciences, and education.
Author: Luis Fernando D'Haro Publisher: Springer Nature ISBN: 9811394431 Category : Social Science Languages : en Pages : 421
Book Description
This book presents the outcomes of the 9th International Workshop on Spoken Dialogue Systems (IWSDS), “Towards creating more human-like conversational agent technologies”. It compiles and provides a synopsis of current global research to push forward the state of the art in dialogue technologies, including advances in the context of the classical problems of language understanding, dialogue management and language generation, as well as cognitive topics related to the human nature of conversational phenomena, such as humor, empathy and social context understanding and awareness.
Author: Borhan Samei
Author: Borhan Samei
Author: Duanli Yan
Author: Vasile Rus
Author: Robert A. Sottilare
Author: Benjamin Goldberg
Author: Thomas Holtgraves
Author: Stefano A. Cerri
Author: Samantha Jiménez
Author: Ning Wang
Author: Luis Fernando D'Haro