Improving cooperation in Virtual Learning Environments using multi-agent systems and AIML

Alencar, Márcio Aurélio dos Santos; Netto, Jose Magalhaes

doi:10.1109/fie.2011.6143025

Cited by 16 publications

(7 citation statements)

References 4 publications

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“…Finally, the work of Alencar and Netto [57] employed intelligent agents to monitor students' activities in the discussion forums so that the students are always accompanied, and the instructor has a reduced workload. Lima et al [58] present sociograms and tables that identify and characterize interactions among students within a Learning Management System.…”

Section: Strategies and Improvements In Online Discussion Forumsmentioning

confidence: 99%

What to expect, and how to improve online discussion forums: the instructors’ perspective

Lima

Gerosa

Conte

et al. 2019

J Internet Serv Appl

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Online discussion forums are asynchronous communication tools that are widely used in Learning Management Systems. However, instructors and students face various difficulties, and instructors lack a guide on what strategies they can use to achieve a more participatory forum environment. This work aims to identify benefits and difficulties of using online discussion forums from the instructors' point of view, and to provide a list of strategies and improvements that can mitigate the challenges and lead to a more participatory forum. We used coding procedures to analyze data collected through semi-structured interviews. The results of our exploratory analysis are relevant to the distance learning community and can inform instructors, developers, and researchers to help them improve the quality of mediation and use of forums.

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Section: Strategies and Improvements In Online Discussion Forumsmentioning

confidence: 99%

What to expect, and how to improve online discussion forums: the instructors’ perspective

Lima

Gerosa

Conte

et al. 2019

J Internet Serv Appl

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“…The filtering process is based on black and white lists, or depends on the data set and data mining technique for spam message in e-mails [23]. Also there are some techniques for filtering messages which are posted in the MOODLE forum [24], which does not receive adequate feedback from the tutor in sufficient way. In this research we will use the technique list to filter the message, whether if it contains taboo words.…”

Section: Resultsmentioning

confidence: 99%

“…They use WEKA use of collection data mining algorithm and apply them to compare the effectiveness of each in an attempt to identify the ones that perform better in the SMS paradigm, from the experiment Bayesian technique was one of the best approaches towards spam filtration to be considered optimization for better performance in the SMS text context. But this paper depend on the data set and data mining technique but our work using lists to compare terms after stemming process done for detect if it is related or not related to the course .There are large number of messages posted on the forum of MOODLE[24] , which does not receive adequate feedback from the tutor in sufficient ,this paper proposes an approach for solving this problem using the multi agent system paradigm , the system is composed by intelligent agents. The writers named their model MAS which is composed of MOODLE forum, MySQL Database, AIML interpreter, the AIML knowledge base, and intelligent agents.…”

mentioning

confidence: 99%

Filtering Features and Recommender Model for Messaging System of MOODLE

Barhoom¹,

Atallah²

2015

جامعة فلسطين للأبحاث و الدراسات

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First, I thank and I'm grateful for Allah for taking care of me and protecting me all the time. I would Thanks everyone who helped me in reaching this stage My Father and My Mother thank you for everything you have done to me my entire life My supervisor Dr. Tawfiq S. Barhoom for his encouragement and support, without his effort I couldn't finish my thesis, My Brothers (Hossam, Mohanned) & my sisters (Rana, Haneen, Randa) for their love I would like to express my appreciation to the academic staff of information technology program at the Islamic University-Gaza.

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“…For example,Żytniewski [34] studied agent-based chatbots as a bridge between users and IT systems in business processes and management of the organization knowledge. Alencar and Netto [35] proposed an approach to improve the cooperation among students and learning institutions. In particular, they realized an Assistant Tutor agent responsible for the (i) question collection, (ii) activity monitor, and (iii) student interaction a virtual learning environment (i.e., Moodle).…”

Section: Multi-agent Systems and Chatbotsmentioning

confidence: 99%

EREBOTS: Privacy-Compliant Agent-Based Platform for Multi-Scenario Personalized Health-Assistant Chatbots

et al. 2021

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Context. Asynchronous messaging is increasingly used to support human–machine interactions, generally implemented through chatbots. Such virtual entities assist the users in activities of different kinds (e.g., work, leisure, and health-related) and are becoming ingrained into humans’ habits due to factors including (i) the availability of mobile devices such as smartphones and tablets, (ii) the increasingly engaging nature of chatbot interactions, (iii) the release of dedicated APIs from messaging platforms, and (iv) increasingly complex AI-based mechanisms to power the bots’ behaviors. Nevertheless, most of the modern chatbots rely on state machines (implementing conversational rules) and one-fits-all approaches, neglecting personalization, data-stream privacy management, multi-topic management/interconnection, and multimodal interactions. Objective. This work addresses the challenges above through an agent-based framework for chatbot development named EREBOTS. Methods. The foundations of the framework are based on the implementation of (i) multi-front-end connectors and interfaces (i.e., Telegram, dedicated App, and web interface), (ii) enabling the configuration of multi-scenario behaviors (i.e., preventive physical conditioning, smoking cessation, and support for breast-cancer survivors), (iii) online learning, (iv) personalized conversations and recommendations (i.e., mood boost, anti-craving persuasion, and balance-preserving physical exercises), and (v) responsive multi-device monitoring interface (i.e., doctor and admin). Results. EREBOTS has been tested in the context of physical balance preservation in social confinement times (due to the ongoing pandemic). Thirteen individuals characterized by diverse age, gender, and country distribution have actively participated in the experimentation, reporting advancements in the physical balance and overall satisfaction of the interaction and exercises’ variety they have been proposed.

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Improving cooperation in Virtual Learning Environments using multi-agent systems and AIML

Cited by 16 publications

References 4 publications

What to expect, and how to improve online discussion forums: the instructors’ perspective

What to expect, and how to improve online discussion forums: the instructors’ perspective

Filtering Features and Recommender Model for Messaging System of MOODLE

EREBOTS: Privacy-Compliant Agent-Based Platform for Multi-Scenario Personalized Health-Assistant Chatbots

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