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Agent-based systems for human learners
2010
Knowledge engineering review (Print)
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This article discusses agent-based approaches that have been designed to address a range of pedagogical and/or curricular tasks. ...
Features of each type are considered, as well as the systems in which these agents are incorporated, examining common and divergent goals, system and agent architectures, and evaluation methodologies. ...
intelligent tutoring and other types of computer-based systems designed to promote human learning. ...
doi:10.1017/s0269888910000044
fatcat:msz6jceodjepbfjq2susjqkwia
ITSEGO: An Ontology for Game-based Intelligent Tutoring Systems
2016
Proceedings of the 8th International Conference on Computer Supported Education
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The tool has been defined, by means of an ontology-driven approach, as an Intelligent Tutoring System (ITS) integrated to a structured game-based educational environment and provides benefits for both ...
The definition of a novel ontology, namely ITSEGO, providing a model (generally applicable in different learning contexts) to build Game-based ITS and, the design of a concrete Game-based ITS for supporting ...
ITSEGO: An Ontology for Game-based Intelligent Tutoring Systems. ...
doi:10.5220/0005756602380245
dblp:conf/csedu/CentolaO16
fatcat:ja4c3gda45ckhcrtlqc32i2umi
Modelling Multi-Agent System using Different Methodologies
[chapter]
2011
Multi-Agent Systems - Modeling, Interactions, Simulations and Case Studies
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The Tutor, Administrator, Coordinator and Expert Agents are defined in an environment as a system. ...
A12: Identify Agents
•
S1: Study entities in the domain context
•
S2: Identify potentially cooperative agents
•
S3: Determine agents
A13: Study Interactions between Entities
•
S1: Study active ...
The first system modelled presented was a classical Multi-Agent System case study in a Medical Domain using Adelfe methodology. ...
doi:10.5772/14792
fatcat:qj3zhuzytbfzthjwsevllxi4cq
Computational Models of Ethical Reasoning: Challenges, Initial Steps, and Future Directions
2006
IEEE Intelligent Systems
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Here, I briefly describe a few of these programs and discuss in detail two programs that I developed, both of which employ techniques from the area of AI known as case-based reasoning and implement aspects ...
First, ethical reasoning is based on abstract principles that you can't easily apply in a formal, deductive fashion. ...
US National Science Foundation Learning and Intelligent Systems grant 9720341 partly supported this research. ...
doi:10.1109/mis.2006.67
fatcat:zfeaoe4aibea7gglyoy6mmccje
ArgueTutor: An Adaptive Dialog-Based Learning System for Argumentation Skills
2021
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
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Figure 1 : Screenshot of our adaptive dialog-based learning system: a user conducts a certain writing exercise and receives adaptive tutoring and feedback on the argumentation quality of her text ABSTRACT ...
To test if individual tutoring for students' argumentation will help them to write more convincing texts, we developed ArgueTutor, a conversational agent that tutors students with adaptive argumentation ...
First, with ArgueTutor we introduce the first intelligent dialog-based tutoring system for argumentation skills. ...
doi:10.1145/3411764.3445781
fatcat:kvu3b7lbtvaq7hxbnb5n6buvpy
THE TRANSITION FROM INTELLIGENT TO AFFECTIVE TUTORING SYSTEM: A REVIEW AND OPEN ISSUES
2020
IEEE Access
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A CASE STUDY Previously we have discussed diverse technologies with prospects to design an Intelligent or Affective tutoring system. ...
We aim to help anyone to design an improved ITS or ATS based on the Tega system from analyzing the case studies.
A. ...
doi:10.1109/access.2020.3036990
fatcat:po3sveb2lzb4bcqto56xgvyyeq
APPLICATION OF EXPERT SYSTEMS OR DECISION-MAKING SYSTEMS IN THE FIELD OF EDUCATION
2021
Information Technology in Industry
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It uses both factual information and heuristics to resolve the complicated decision-making issues in a specific domain. ...
Expert system (ES) is a branch of artificial intelligence (AI) that is used to manage different problems by making use of interactive computer-based decision-making process. ...
On the other hand, in the case of education, ES is used for different purposes such as intelligent tutoring systems, human tutoring, and answer based tutoring purposes. ...
doi:10.17762/itii.v9i1.283
fatcat:q337aovngjhf7avgdnhtx72ana
The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems
2011
Educational Psychologist
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Such tutoring systems are usually referred to as Intelligent Tutoring Systems (ITS). ...
and the proceedings of two conferences, Intelligent Tutoring Systems and AI in Education). ...
., 2001, Exp. 3) Nearly the same as Exp. 1, but NT was an agent who lectured. 0.61 The SBT (Andes) coached physics problem solving for a whole semester; NT was paper-based homework; results aggregated ...
doi:10.1080/00461520.2011.611369
fatcat:owqtppaapraoll5m3ttqlfyeue
An Interaction Design for Machine Teaching to Develop AI Tutors
2020
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
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Intelligent tutoring systems (ITSs) have consistently been shown to improve the educational outcomes of students when used alone or combined with traditional instruction. ...
In this study, we demonstrate that Simulated Learners built with the Apprentice Learner (AL) Framework can be combined with a novel interaction design that emphasizes model transparency, input fexibility ...
ACKNOWLEDGEMENTS The research reported here was supported in part by a training grant from the Institute of Education Sciences (R305B150008). Opinions expressed do not represent the views of the U.S. ...
doi:10.1145/3313831.3376226
dblp:conf/chi/WeitekampHK20
fatcat:4spenevm4vdslc5ghrhfbrvtym
Protus 2.0: Ontology-based semantic recommendation in programming tutoring system
2012
Expert systems with applications
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In previous work, we presented tutoring system named Protus (PRogramming TUtoring System) that is used for learning the essence of Java programming language. ...
This paper presents new approach to perform effective personalization highly based on Semantic web technologies performed in new version of the system, named Protus 2.0. ...
In Latham et al. (2011) authors proposed architecture for developing a novel conversational intelligent tutoring system called Oscar that leads a tutoring conversational and dynamically predicts and ...
doi:10.1016/j.eswa.2012.04.052
fatcat:iegquwrywndpxlh2iclxerdzsu
Designing convivial digital cities: a social intelligence design approach
2009
AI & Society: The Journal of Human-Centred Systems and Machine Intelligence
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Finally, as a first step towards obtaining measures for conviviality, we presented a case study describing agents and user"s interactions using dependence graphs. ...
Second, we analyzed the concept of conviviality for social science, multi-agent systems and intelligent interface; we showed the distinction among various kinds of use of conviviality, the positive outcomes ...
These capabilities are fundamental to social intelligence design since "conventionally, social intelligence has been discussed as an ability of an actor/agent to relate to other actors/agents in a society ...
doi:10.1007/s00146-009-0201-x
fatcat:xhafw6meprf45dqelpwb4o6ipu
Multi-Agent Auction Based Simulation Tool for an Insurance Policy Market
2014
Applied Computer Systems
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The simulation tool has been developed using the MASITS methodology and tool, thus providing a case study for the methodology and tool for a new type of systems ...
Insurance deal evaluation model using price and insured risks has been developed based on the study of the Latvian insurance market. ...
The MASITS methodology [17] is initially built for agent based intelligent tutoring system development. ...
doi:10.2478/acss-2014-0001
fatcat:lwvltwirgngyxkdrxki45522ym
User modeling in dialog systems: Potentials and hazards
1990
AI & Society: The Journal of Human-Centred Systems and Machine Intelligence
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Apart from cooperativity aspects, such a model is also necessary for intelligent coherent dialog behavior in general. ...
In order to be capable of exhibiting a wide range of cooperative behavior, a computerbased dialog system must have available assumptions about the current user's goals, plans, background knowledge and ...
Within computer science, relationships exist with the field of student modeling in intelligent tutoring systems (Self 1974 , Dede 1986 , Kass 1989 , multiple-agent planning systems (Konolige & Nilsson ...
doi:10.1007/bf01889941
fatcat:gu5uhuoabfcelmenzbn7jwvrrm
User Models in Dialog Systems
[chapter]
1989
User Models in Dialog Systems
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goals in a system's knowledge base are surveyed. ...
This chapter surveys the field of user modeling in artificial intelligence dialog systems. ...
In the case of cooperative systems and computer-based tutoring, however, it is the user's problem if the system's cooperativeness declines as a result of these manipulations of the user model. ...
doi:10.1007/978-3-642-83230-7_1
fatcat:d2ma2ui6ofbcdom64qxpou3u54
ALLEGRO: Teaching/Learning Multi-Agent Environment using Instructional Planning and Cases- Based Reasoning (CBR)
2007
CLEI Electronic Journal
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This paper presents a description of the environments of individualized learning (Based on the Intelligent Tutoring Systems, ITS), the Computer Supported Collaborative Learning (CSCL), Multi-Agent Systems ...
(MAS) and the artificial intelligence techniques called: Instruc- tional Planning (IP) and Case-Based Reasoning (CBR). ...
ACKNOWLEDGEMENTS The work described in this paper is supported by a COLCIENCIAS scholarship within the framework of the Program of Support to the National Scientific Community through the 2003 Doctorate ...
doi:10.19153/cleiej.10.1.4
fatcat:ivcuhc4swngj3nqcowu2zbevbq
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