[PDF] Improving Chatbots In Higher Education Intent Recognition Evaluation eBook
Improving Chatbots In Higher Education Intent Recognition Evaluation Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Improving Chatbots In Higher Education Intent Recognition Evaluation book. This book definitely worth reading, it is an incredibly well-written.
Abstract: Intelligent assistants provide a lot of potential in the development of scalable mentoring solutions for higher education. Chatbots became popular also in this field, but they may cause users' frustration if they do not understand the user correctly. Therefore, it is crucial to evaluate their performance in recognizing user messages, in order to know their weak points and improve them accordingly. In their experiments, the autors took one chatbot used by students of educational sciences and evaluated it from various perspectives. The results indicate that this kind of validation can help to improve the usability of chatbots in the learning domain. (DIPF/Orig.)
This book explores the integration of AI-powered chatbots such as ChatGPT into higher education for instructional and communication purposes. The author emphasizes the responsibility of higher education institutions to equip students with advanced skills for writing with AI assistance, and prepare them for an increasingly AI-driven world. Offering numerous practical tips, the book demonstrates how universities can increase student success, and stem the rising cost of higher education by employing AI tools. The chapters discuss streamlining tasks such as grading, providing feedback, and handling administrative duties, to show how educators can be enabled to focus on more meaningful aspects of their work. The author also reflects on the philosophical and ethical considerations and potential pitfalls of relying on AI in higher education, including concerns about academic integrity and the importance of human input in the learning process. The author offers a responsible and informed approach to incorporating the new powerful tools into the academic landscape. This volume will be a key resource for higher education faculty and administrators seeking to navigate the complex intersection of AI and writing.
Explore in detail how universities and colleges can harness the power of chatbot technology to not only meet the digital expectations of their students, but to provide them with better, more enriched experiences. This indispensable guide takes a pragmatic look at how chatbots offer more than just student benefits, but also help institutions dramatically improve efficiency, drive down costs and build a reputation as a modern, innovative establishment.
This book constitutes the proceedings of the 10th International Symposium on Cyberspace Safety and Security, CSS 2018, held in Amalfi, Italy, in October 2018. The 25 full papers presented in this volume were carefully reviewed and selected from 79 submissions. The papers focus on cybersecurity; cryptography, data security, and biometric techniques; and social security, ontologies, and smart applications.
A chatbot is expected to be capable of supporting a cohesive and coherent conversation and be knowledgeable, which makes it one of the most complex intelligent systems being designed nowadays. Designers have to learn to combine intuitive, explainable language understanding and reasoning approaches with high-performance statistical and deep learning technologies. Today, there are two popular paradigms for chatbot construction: 1. Build a bot platform with universal NLP and ML capabilities so that a bot developer for a particular enterprise, not being an expert, can populate it with training data; 2. Accumulate a huge set of training dialogue data, feed it to a deep learning network and expect the trained chatbot to automatically learn “how to chat”. Although these two approaches are reported to imitate some intelligent dialogues, both of them are unsuitable for enterprise chatbots, being unreliable and too brittle. The latter approach is based on a belief that some learning miracle will happen and a chatbot will start functioning without a thorough feature and domain engineering by an expert and interpretable dialogue management algorithms. Enterprise high-performance chatbots with extensive domain knowledge require a mix of statistical, inductive, deep machine learning and learning from the web, syntactic, semantic and discourse NLP, ontology-based reasoning and a state machine to control a dialogue. This book will provide a comprehensive source of algorithms and architectures for building chatbots for various domains based on the recent trends in computational linguistics and machine learning. The foci of this book are applications of discourse analysis in text relevant assessment, dialogue management and content generation, which help to overcome the limitations of platform-based and data driven-based approaches. Supplementary material and code is available at https://github.com/bgalitsky/relevance-based-on-parse-trees
Proceedings of the 5th International Conference on Intelligent Human Systems Integration (IHSI 2022): Integrating People and Intelligent Systems, February 22–24, 2022, Venice, Italy
This book constitutes the refereed proceedings of the Third International Workshop on Chatbot Research and Design, CONVERSATIONS 2019, held in Amsterdam, The Netherlands, in November 2019. The 18 revised full papers presented in this volume were carefully reviewed and selected from 31 submissions. The papers are grouped in the following topical sections: user and communication studies user experience and design, chatbots for collaboration, chatbots for customer service, and chatbots in education.
Teachers in higher education have had to become more professional in their approach to teaching, matching their professionalism in research. The first edition of this book prepares teachers to do and undergo quality audits and appraisals, and to achieve their personal aims of improving their teaching and their students' learning. The strength of this book is that it provides a sound theoretical basis for designing and using learning technologies in university teaching. This new edition builds upon the success of the first and contains major updates to the information on learning technologies and includes the implications of using technology for the university context - both campus and electronic - which suggests a new approach to managing learning at institutional level.
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.