Using Chatbots for Network Management Training through Problem-based Oriented Education

Leonhardt, Michelle Denise; Tarouco, Liane Margarida Rockenbach; Vicari, Rosa María; Santos, Elder Rizzon; Silva, M. dos Santos da

doi:10.1109/icalt.2007.275

Cited by 21 publications

(15 citation statements)

References 7 publications

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“…Dina [54] employs natural language processing provided by Dia-logFlow (Google's NLP platform that can be used to build conversational applications in multiple languages and different platforms); besides, it contains a learning module that improves its performance with use. Smart Answering Chatbot [44] implements Artificial Intelligence Markup Language (AIML; an XML-based programming language specifically designed for the creation of the first chatbot, Eliza), a very recurrent technology in the design of chatbots [68], which Dorothy Chatbot [32] [22] is implemented with a base of C# and Visual Basic.NET, with latent semantic analysis (LSA), an NLP algorithm that relates terms and concepts, as language evaluator. Indigo [76] is developed on the platform juji.io; it is one case that deviates from the standard of the other chatbots cited and is developed in an integral way.…”

Section: Question 3: What Type Of Technology Do Chatbots Use and Whmentioning

confidence: 99%

Rediscovering the use of chatbots in education: A systematic literature review

Pérez

Daradoumis

Puig

2020

Comp Applic In Engineering

243

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Chatbots have been around for years and have been used in many areas such as medicine or commerce. Our focus is on the development and current uses of chatbots in the field of education, where they can function as service assistants or as educational agents. In this research paper, we attempt to make a systematic review of the literature on educational chatbots that address various issues. From 485 sources, 80 studies on chatbots and their application in education were selected through a step-by-step procedure based on the guidelines of the PRISMA framework, using a set of predefined criteria. The results obtained demonstrate the existence of different types of educational chatbots currently in use that affect student learning or improve services in various areas. This paper also examines the type of technology used to unravel the learning outcome that can be obtained from each type of chatbots. Finally, our results identify instances where a chatbot can assist in learning under conditions similar to those of a human tutor, while exploring other possibilities and techniques for assessing the quality of chatbots. Our analysis details these findings and can provide a solid framework for research and development of chatbots for the educational field.

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Section: Question 3: What Type Of Technology Do Chatbots Use and Whmentioning

confidence: 99%

Rediscovering the use of chatbots in education: A systematic literature review

Pérez

Daradoumis

Puig

2020

Comp Applic In Engineering

243

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“…M. D. Leonhardt et al: [11] solely interacts with user however conjointly manage network via management protocols. It's used Page: 1309 this technique is works as oriented tongue dialog system that is act with user to accomplish a given objective.…”

Section: De Orlando Et Almentioning

confidence: 99%

“…: [11] Dorothy chatbot isn't solely interacts with user however conjointly manage network via management protocols. It's used International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 @ IJTSRD | Available Online @ www.ijtsrd.com supported ALICE resolution.…”

Section: De Orlando Et Almentioning

confidence: 99%

Namah Subjective and Objective Aspects of Conversational Agent

Sharma¹,

Sharma²,

Rana³

2018

IJTSRD

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Namah subjective and objective aspects of conversational agents focuses on the design and evaluation of Chatbot, a conversational agent for Natural Language Processing in An Android Application featuring a high number of different, unique characteristics: context dependent information, an support for different kind of dialogue chat, specific and general question answering, task oriented dialogues. The agent has currently implementations: as mobile phone application. ChatBot is an application that helps users and agents communicate easily with each other. It helps in maintaining a direct connection between users and agents. However, before this application, users get so many problems in getting their answers from the agent. The market is a communicative agent. There is no proper work done either. The user has to give name and email address so that they can get the answer to their question and then the user gets the answer of their query after 24 hour via mail. And the information users want are either given from Google or given a link to it. so this conversationa easy to use. The query that the user put it will be given the correct answer to the same time or at a time. No matter how many people are logged into the questions, they will automatically get all the answers at the same time. We have set up a data set. Currently built for a one domain, we can work on this Multiplayer domain. The paper describes the modules and resources required for running the agent on both interfaces, as well as the evaluation results obtained from two assessment studies conc interaction design of these two agent interfaces. The feedback gathered from the studies will enable us to improve the applications in terms of service, performance and usability. @ IJTSRD | Available Online @ www.ijtsrd.com | Volume -2 | Issue -5 |

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“…Besides assisting language learning, chatbots have been used as a tool for network management training. Dorothy, a network management-aware chatbot, was created to interact not only with the user, but also with the managed network via management protocols (Leonhardt, Tarouco, Vicari, Santos, & Silva, 2007). A multimodal conversational agent has also been developed to help children appreciate and protect their environment (Griol et al, 2014).…”

mentioning

confidence: 99%

How to Program a Chatbot – An Introductory Project and Student Perceptions

Long¹,

Yuan

Lee³

2019

IISIT

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Aim/Purpose: One of the most fascinating developments in computer user interfaces in recent years is the rise of “chatbots”. Yet extent information system (IS) curriculum lacks teaching resources on chatbots programming.. Background: To better prepare students for this new technological development and to enhance the IS curriculum, we introduce a project that teaches students how to program simple chatbots, including a transactional chatbot and a conversational chatbot. Methodology: We demonstrated a project that teaches students how to program two types of simple chatbots: a transactional chatbot and a conversational chatbot. We also conducted a survey to examine students’ perceptions on their learning experience. Findings: Our survey on students’ perception of the project finds that learning chatbots is deemed very useful because chatbot programming projects have enabled the students to understand the subject better. We also found that social influence has positively motivated the students to learn chatbot programming. Though most of the students have no prior experiences programming chatbots, their self-efficacy towards chatbot programming remained high after working through the programming project. Despite the difficult tasks, over 71% of respondents agree to various degrees that chatbot programming is fun. Though most students agree that chatbot programming is not easy to learn, more than 70% of respondents indicated that they will use or learn chatbots in the near future. The overwhelmingly positive responses are impressive given that this is the first time for the students to program and learn chatbots. Recommendations for Practitioners: In this article, we introduced a step by step project on teaching chatbot programming in an information systems class. Following the project instructions, students can get their first intelligent chatbots up and running in a few hours using Slack. This article describes the project in detail as well as students’ perceptions. Recommendations for Researchers: We used UTAUT model to measure students’ perception of the projects. This study could be of value to researchers studying students’ technology learning and adoption behaviors. Impact on Society: To our best knowledge, pedagogical resources that teach IS students how to program chatbots, especially the introductory level materials, are limited. We hope this teaching case could be of value for IS educators when introducing IS students to the wonderful field of chatbot programming. Future Research: For future work, we plan to expand the teaching resources to cover more advanced chatbot programming projects, such as on how to make chatbot more human-like.

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Using Chatbots for Network Management Training through Problem-based Oriented Education

Cited by 21 publications

References 7 publications

Rediscovering the use of chatbots in education: A systematic literature review

Rediscovering the use of chatbots in education: A systematic literature review

Namah Subjective and Objective Aspects of Conversational Agent

How to Program a Chatbot – An Introductory Project and Student Perceptions

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