The use of agents techniques on intelligent tutoring systems

Giraffa, Lúcia Maria Martins; Viccari, Rosa Maria

doi:10.1109/sccc.1998.730785

Cited by 32 publications

(17 citation statements)

References 7 publications

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“…The latter is the idea that "agents do not simply act in response to their environment, [but] are able to exhibit goal-directed behavior by taking the initiative" [35, p. 2]. In addition, it has been suggested that agents, and pedagogical agents specifically, ought to be able to learn in order to be adaptive [9]. As all of these features are highly relevant for coaches, it could be argued that, aside the first point about the animated avatars, Warner's characterization is in fact apt.…”

Section: E-coaching Systems In the Literaturementioning

confidence: 99%

E-coaching systems

Kamphorst

2017

Pers Ubiquit Comput

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The ongoing digitalization and automation of coaching practices is rapidly changing the landscape of coaching and (health-related) self-improvement. The introduction of a new class of support technologies-"e-coaching systems"-promises to deliver highly personalized, timely, around-the-clock coaching in a wide variety of domains and to a broad audience. At the same time, the introduction of these systems raises a number of practical and ethical concerns regarding, for example, privacy and personal autonomy, that deserve careful consideration. Unfortunately, constructive conversations about these technologies are hindered by the lack of a precise understanding of what constitutes an e-coaching system and how e-coaching systems differ from other types of behavior change interventions. The broad and inclusive definitions that have been offered in the recent literature facilitate a systematic underestimation of the impact that the introduction of e-coaching systems will have, by allowing discussions to include examples of systems with which people are familiar but which lack the level of sophistication and independence needed for a genuine process of coaching. As a consequence, specific concerns that arise with sophisticated, adaptive systems that form their own perspective on a user's health and behavior and from that perspective shape persuasive interactions, remain out of focus. This paper aims to remedy this situation by proposing a more narrowly construed definition of e-coaching systems.

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Section: E-coaching Systems In the Literaturementioning

confidence: 99%

E-coaching systems

Kamphorst

2017

Pers Ubiquit Comput

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“…An agent is a computer system situated in some environment that is capable of autonomous action in this environment in order to meet its design objectives [17]. The intelligent agents can respond to user intentions and interact like humans.…”

Section: Intelligent Agentmentioning

confidence: 99%

Towards Sustainable Smart Homes by a Hierarchical Hybrid Architecture of an Intelligent Agent

Yang

Cho

2016

Sustainability

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A smart home can be realized by the provision of services, such as building control, automation and security implemented in accordance with a user's request. One of the important issues is how to respond quickly and appropriately to a user's request in a "dynamic environment". An intelligent agent infers the user's intention and provides the intact service. This paper proposes a smart home agent system based on a hierarchical hybrid architecture of a user intention model, which models the user intention as a hierarchical structure and implements it in a dynamic environment. The conventional rule-based approach needs to obtain all information before it is executed, which requires a large number of rules and is hardly scalable as the control objects are increasing. On the other hand, the proposed system consists of several modules that construct a hierarchical user intention model. The smart home system needs to take account of the information, such as time, state of device and state of the home, in addition to users' intention. We evaluate the performance of the proposed system in a dynamic environment and conduct a blind test with seven subjects to measure the satisfaction of service, resulting in the average score of 81.46.

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“…Com o avanço das técnicas inteligentes (Inteligência Artificial Simbólica), nasceu neste meio um novo paradigma de sistemas educacionais, denominados ICAI (do Inglês, Intelligent Computer-Assisted Instruction) ou Sistemas Tutores Inteligentes (STI). Nessa nova geração, os sistemas passaram a ter a capacidade de representar determinados domínios e de se adaptar às características dos alunos [2].…”

Section: Qwurgxomrunclassified

Mapas Auto-Organizáveis Aplicados a Sistemas Tutores Inteligentes

Martins¹,

Carvalho²

2016

Anais Do 6. Congresso Brasileiro De Redes Neurais

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The use of agents techniques on intelligent tutoring systems

Cited by 32 publications

References 7 publications

E-coaching systems

E-coaching systems

Towards Sustainable Smart Homes by a Hierarchical Hybrid Architecture of an Intelligent Agent

Mapas Auto-Organizáveis Aplicados a Sistemas Tutores Inteligentes

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