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Agent-based systems for human learners

Elizabeth Sklar, Debbie Richards
2010 Knowledge engineering review (Print)  
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

Valentina Centola, Francesco Orciuoli
2016 Proceedings of the 8th International Conference on Computer Supported Education  
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]

Vera Maria B. Werneck, Rosa Maria E. Moreira Costa, Luiz Marcio
2011 Multi-Agent Systems - Modeling, Interactions, Simulations and Case Studies  
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

B.M. McLaren
2006 IEEE Intelligent Systems  
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

Thiemo Wambsganss, Tobias Kueng, Matthias Soellner, Jan Marco Leimeister
2021 Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems  
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

Muhammad Asif Hasan, Nurul Fazmidar Mohd Noor, Siti Soraya Abdul Rahman, Mohammad Mustaneer Rahman
2020 IEEE Access  
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

Biju Theruvil Sayed
2021 Information Technology in Industry  
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

KURT VanLEHN
2011 Educational Psychologist  
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

Daniel Weitekamp, Erik Harpstead, Ken R. Koedinger
2020 Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems  
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

Boban Vesin, Mirjana Ivanović, Aleksandra Klašnja-Milićević, Zoran Budimac
2012 Expert systems with applications  
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

Patrice Caire
2009 AI & Society: The Journal of Human-Centred Systems and Machine Intelligence  
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

Egons Lavendelis, Janis Grundspenkis
2014 Applied Computer Systems  
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

Alfred Kobsa
1990 AI & Society: The Journal of Human-Centred Systems and Machine Intelligence  
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]

Wolfgang Wahlster, Alfred Kobsa
1989 User Models in Dialog Systems  
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)

Rosa M. Viccari, Demetrio A. Ovalle, Jovani A. Jimenez
2007 CLEI Electronic Journal  
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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