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PDF/A formatsAccess: via World Wide Web東京外国語大学大学院総合国際学研究科博士 (学術) 論文 (2016年4月)Author's thesis (Ph.D)--Tokyo University of Foreign Studies, 2016博甲第214号Bibliography: p. 183-195Summary in English and Japanese東京外国語大学 (Tokyo University of Foreign Studies)博士 (学術

Robust Dialog Management Through A Context-centric Architecture

This dissertation presents and evaluates a method of managing spoken dialog interactions with a robust attention to fulfilling the human user’s goals in the presence of speech recognition limitations. Assistive speech-based embodied conversation agents are computer-based entities that interact with humans to help accomplish a certain task or communicate information via spoken input and output. A challenging aspect of this task involves open dialog, where the user is free to converse in an unstructured manner. With this style of input, the machine’s ability to communicate may be hindered by poor reception of utterances, caused by a user’s inadequate command of a language and/or faults in the speech recognition facilities. Since a speech-based input is emphasized, this endeavor involves the fundamental issues associated with natural language processing, automatic speech recognition and dialog system design. Driven by ContextBased Reasoning, the presented dialog manager features a discourse model that implements mixed-initiative conversation with a focus on the user’s assistive needs. The discourse behavior must maintain a sense of generality, where the assistive nature of the system remains constant regardless of its knowledge corpus. The dialog manager was encapsulated into a speech-based embodied conversation agent platform for prototyping and testing purposes. A battery of user trials was performed on this agent to evaluate its performance as a robust, domain-independent, speech-based interaction entity capable of satisfying the needs of its users

Comparison of Student Performance in a College Engineering Course Between Two Lecture Methods: a Taped Recording and a Printed Transcription

Higher Educatio

A conversational computer character to help children write stories

Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1998.Includes bibliographical references (p. 89-93).Nicholas Anthony Montfort.M.S

Applying science of learning in education: Infusing psychological science into the curriculum

The field of specialization known as the science of learning is not, in fact, one field. Science of learning is a term that serves as an umbrella for many lines of research, theory, and application. A term with an even wider reach is Learning Sciences (Sawyer, 2006). The present book represents a sliver, albeit a substantial one, of the scholarship on the science of learning and its application in educational settings (Science of Instruction, Mayer 2011). Although much, but not all, of what is presented in this book is focused on learning in college and university settings, teachers of all academic levels may find the recommendations made by chapter authors of service. The overarching theme of this book is on the interplay between the science of learning, the science of instruction, and the science of assessment (Mayer, 2011). The science of learning is a systematic and empirical approach to understanding how people learn. More formally, Mayer (2011) defined the science of learning as the “scientific study of how people learn” (p. 3). The science of instruction (Mayer 2011), informed in part by the science of learning, is also on display throughout the book. Mayer defined the science of instruction as the “scientific study of how to help people learn” (p. 3). Finally, the assessment of student learning (e.g., learning, remembering, transferring knowledge) during and after instruction helps us determine the effectiveness of our instructional methods. Mayer defined the science of assessment as the “scientific study of how to determine what people know” (p.3). Most of the research and applications presented in this book are completed within a science of learning framework. Researchers first conducted research to understand how people learn in certain controlled contexts (i.e., in the laboratory) and then they, or others, began to consider how these understandings could be applied in educational settings. Work on the cognitive load theory of learning, which is discussed in depth in several chapters of this book (e.g., Chew; Lee and Kalyuga; Mayer; Renkl), provides an excellent example that documents how science of learning has led to valuable work on the science of instruction. Most of the work described in this book is based on theory and research in cognitive psychology. We might have selected other topics (and, thus, other authors) that have their research base in behavior analysis, computational modeling and computer science, neuroscience, etc. We made the selections we did because the work of our authors ties together nicely and seemed to us to have direct applicability in academic settings

A Guided Chatbot Learning Experience in the Science Classroom

This dissertation describes a practitioner’s design-based development of a prototype chatbot to guide students in learning biological concepts of genetic mutations and protein synthesis. This chatbot’s architecture provides learning activities, feedback, and support throughout a series of short, connected lessons. The chatbot is designed to scaffold learners through a predict, observe, explain model of inquiry learning. It utilizes real-world phenomena to lead students through biology core ideas, science and engineering practices, and crosscutting concepts. Results of prototype testing include survey results in support of the proof of concept among both students and teachers, as well as accuracy measurements of chatbot intents. Descriptive statistics and suggestions were collected from both groups to evaluate the relevancy, consistency, practicality, and effectiveness of the project as well as speak to improvements for future projects. The designer finds that the construction of chatbots as guided learning experiences holds untapped potential in science educational technology. Advisor: Guy Traini

Electronic instructional materials and course requirements "Computer science" for specialty: 1-53 01 01 «Automation of technological processes and production»

The purpose of the electronic instructional materials and course requirements by the discipline «Computer science» (EIMCR) is to develop theoretical systemic and practical knowledge in different fields of Computer science. Features of structuring and submission of educational material: EIMCR includes the following sections: theoretical, practical, knowledge control, auxiliary. The theoretical section presents lecture material in accordance with the main sections and topics of the syllabus. The practical section of the EIMCR contains materials for conducting practical classes aimed to develop modern computational thinking, basic skills in computing and making decisions in the field of the fundamentals of computer theory and many computer science fields. The knowledge control section of the EIMCR contains: guidelines for the implementation of the control work aimed at developing the skills of independent work on the course under study, developing the skills of selecting, analyzing and writing out the necessary material, as well as the correct execution of the tasks; list of questions for the credit by the discipline. The auxiliary section of the EIMCR contains the following elements of the syllabus: explanatory note; thematic lectures plan; tables of distribution of classroom hours by topics and informational and methodological part. EIMCR contains active links to quickly find the necessary material

Speaking on the record

Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005.Includes bibliographical references (p. 258-273).Reading and writing have become the predominant way of acquiring and expressing intellect in Western culture. Somewhere along the way, the ability to write has become completely identified with intellectual power, creating a graphocentric myopia concerning the very nature and transfer of knowledge. One of the effects of graphocentrism is a conflation of concepts proper to knowledge in general with concepts specific to written expression. The words 'literate' and 'literacy' themselves are a simple case: their connotations sometimes focus on the process of reading text and sometimes on the kinds of knowledge that happen to be associated in our culture with people who read many books. This thesis has a conceptual and an empirical component. On the conceptual side a central task is to disengage certain concepts that have become conflated by defining new terms. Our vocabulary is insufficient to describe alternatives that serve some or all of the functions of writing and reading in a different modality. As a first step, I introduce a new word to provide a counterpart to writing in a spoken modality: speak + write = sprite. Spriting in its general form is the activity of speaking 'on the record' that yields a technologically-supported representation of oral speech with essential properties of writing such as permanence of record, possibilities of editing, indexing, and scanning, but without the difficult transition to a deeply different form of representation such as writing itself. This thesis considers a particular (still primitive compared with might come in the future) version of spriting in the form of two technology-supported representations of speech: (1) the speech ·in audible form, and (2) the speech in visible form.(cont.) The product of spriting is a kind of 'spoken' document, or talkument. As one reads a text, one may likewise aude a talkument. In contrast, I use the word writing for the manual activity of making marks, while text refers to the marks made. Making these distinctions is a small step towards envisioning a deep change in the world that might go beyond graphocentrism and come to appreciate spriting as the first step--but just the first--towards developing ways of manipulating spoken language, exemplified by turning it into a permanent record, permitting editing, indexing, searching and more. The empirical side of the thesis is confined to exploring implications of spriting in educational settings. I study one group of urban adults who are at elementary levels of reading and writing, and two groups of urban elementary school children who are of different ages, cultures and socioeconomic status, and who have appropriated writing as a tool for thought and expression to greater or lesser extents. One effect of graphocentrism in our culture is the very limited and constrained developmental path of literacy and learning. This has not always been the case. And it does not need to be so in the future. This thesis discusses some small ways in which we might re-value modes of expression in education closer to oral language than to writing. This thesis recognizes three ways in which spriting is relevant to education: (1) spriting can serve as a stepping stone to writing skills, (2) it can in some circumstances serve as a substitute for writing, and (3) it provides a window onto cognitive processes that are present but less apparent in the context of producing text.Tara Michelle Rosenberger Shankar.Ph.D