1,720,958 research outputs found
Data-Driven Edu Chatbots
No full textThere are many online courses and contents on the web, so each learner can find the best one and choose it. However, sometimes many online courses are poorly accessible due to the limits of the search engines on the web. The advent of intelligent systems, and online Chatbots, in particular, has brought improvement in various fields. Education Chatbots improve communication, increase productivity, and simplify learning interaction. This study aims to provide an intelligent Edu Chatbot with a high level of customization to learners who have different needs. This way, they can find their personalized learning path dynamically and their customized content without too much time and effort. This is precisely what e-learning needs because of the enormous amount of material on the web
Educational Chatbots: A Sustainable Approach for Customizable Conversations for Education
No full textThis paper proposes using chatbots as “tutors” in a learning environment; tutors who are not domain experts but helpers in guiding students through bodies of learning material. The most original contributions are the proposal that conversation should be content-independent (although chatbots speak about content); The production process should allow non-technical actors to customize chatbots and keep the costs of development and deployment low. We specifically discuss conversation customization, which is relevant, especially for learning applications, where users might have specific needs or problems. We achieve the features introduced above via extensive “configuration” (regarding direct programming), making the underlying technology novel and original. Experiments with teachers and students have shown that chatbots in education can be effective and that customization of conversations is relevant and valued by users
Data driven chatbots: A new approach to conversational applications
Full text linkChatbots and conversational interfaces are becoming ubiquitous and a new HCI paradigm to access applications and information. This paper proposes a novel approach and an innovative technology (iCHAT) for the development of “data-driven chatbots”. Key ingredients are “meta-conversation”, “conversation tables” (controlling the interface), and a “conversation engine”.
Several advantages are envisioned: (i) lower effort for developing new conversational applications; (ii) easiness of maintenance and update, and therefore improved quality; (iii) possibility for content experts of developing conversational applications, without the need of ICT experts. The approach of iCHAT is quite general and it can be applied to all domains. It is being tested by developing a conversational tutor, supporting adaptive learning, for two MOOCs developed at Politecnico di Milano (Italy) in the frame of an EIT program. This paper describes the overall architecture of iCHAT and analyzes its most original aspects: the conversation engine and the conversation tables
aCHAT-WF: Generating conversational agents for teaching business process models
Full text linkThis paper proposes a general approach for using conversational interfaces such as chatbots to offer adaptive learning of business processes in an environment involving different actors. Adaptivity concerns both the content being proposed, the sequence of learning items, and the way the conversation is conducted. The original approach allows the development of sustainable chatbots and empowers various non-technical actors (authors, teachers, publishers, and learners) to control the chatbot features directly. The aCHAT-WF framework (adaptive CHATbot for WorkFlows), proposed in this paper for managing conversational interfaces, conceptually represents all the aspects related to a conversation about business processes, with different facets for the user, the conversation flow, and the conversation contents, combining them to obtain a flexible interaction with the user. The paper focuses on the different preparation phases for instructional material based on Business Process Modeling Notation (BPMN) models, separating the different roles involved in the construction of a chatbot for teaching business processes and with the possibility of defining different styles for the interaction with the users. The proposed method is configuration-driven, to facilitate the separation of the different aspects of the control of the interaction and the delivery of contents
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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