A development shell for cooperative problem-solving environments

Willamowski, Jutta; Chevenet, François; Jean-Marie, François

doi:10.1016/0378-4754(94)90070-1

Cited by 16 publications

(7 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Scenario analysis reveals that current learning and working situations could be modeled by an explicit task model partly because working and learning activities are well structured and stable. Several research studies in artificial intelligence focus on the hierarchical task model using the task/method paradigm [14][15][16]. In learning environment, hierarchical task models were also used for designing, for instance, authoring tools [17], learning systems [18][19][20].…”

Section: Scenario Modelmentioning

confidence: 99%

See 1 more Smart Citation

Pervasive Technology-Enhanced Learning System Integrating Working and Learning Situations

Pham-Nguyen

Garlatti

2008

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications

View full text Add to dashboard Cite

In the p-LearNet project, we are interested in TEL systems integrating context-aware corporate learning and working activities for e-retail (shops and hypermarkets). The main issues of the p-LearNet project are: work-integrated learning and customer learning support whatever the place, the time, the organisational and technological contexts of the individual or collective learning and working processes. We propose an adaptive and context-aware model of scenario based on an interdisciplinary approach (education, computer science, social sciences, and business) for a pervasive learning system supporting working and learning situations. This model enables us to choose how to achieve activities according to the current situation. The scenario model is based on a hierarchical task model having the task/method paradigm-methods define how to achieve a task.

show abstract

Section: Scenario Modelmentioning

confidence: 99%

“…In learning environment, hierarchical task models were also used for designing, for instance, authoring tools [17], learning systems [18][19][20]. The mechanism of hierarchical and recursive decomposition of a problem into sub-problems is one of the basic characteristics of the hierarchical task model [14][15][16].…”

Section: Scenario Modelmentioning

confidence: 99%

Pervasive Technology-Enhanced Learning System Integrating Working and Learning Situations

Pham-Nguyen

Garlatti

2008

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications

View full text Add to dashboard Cite

show abstract

“…As a scenario describes all users' activities (with or without mobile devices, formal or informal learning activities), an author can manage a global activity consistency to deal with the previously mentioned issues. Several research studies in artificial intelligence focus on the hierarchical task model using the task/method paradigm [15][16][17]. In learning environment, hierarchical task models were also used for designing, for instance, authoring tools [18], learning systems [19][20][21].…”

Section: Scenaro Modelmentioning

confidence: 99%

“…In learning environment, hierarchical task models were also used for designing, for instance, authoring tools [18], learning systems [19][20][21]. The mechanism of hierarchical and recursive decomposition of a problem into sub-problems is one of the basic characteristics of the hierarchical task model [15][16][17].…”

Section: Scenaro Modelmentioning

confidence: 99%

Pervasive Learning System Based on a Scenario Model Integrating Web Service Retrieval and Orchestration

Pham¹,

Garlatti²,

Lau³

et al. 2008

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

We are interested in learning and working scenarios integrating web service retrieval and orchestration in pervasive TEL systems in a learning situation at workplace. This paper proposes a context-aware model of corporate learning and working scenarios in e-retail environment such as shops and hypermarkets. This scenario model enables us to select how to achieve activities according to the current situation. We outline the semantic description of web services to enable the selection, composition and execution of web services to achieve objectives specified by learning and working activities. We propose a context-aware and adaptive model for pervasive learning systems. This model enables the selection of the relevant methods or services to realize activities according to the current situation. Moreover, we also build and develop an Intelligent Selling Space (ISS) architecture that serves as an infrastructure for service management and execution in e-retail environment

show abstract

“…The mechanism of hierarchical and recursive decomposition of a problem into sub-problems is one of the basic characteristics of the hierarchical task model [21]. There are several properties for tasks such as: A task statement describes a finite independent part of the job, a task statement uses one verb, and must be measurable, etc.…”

Section: The Task Modelmentioning

confidence: 99%

Toward an Adaptive Learning System Framework: Using Bayesian Network to Manage Learner Model

Nguyên¹

2012

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

Abstract-This paper represents a new approach to manage learner modeling in an adaptive learning system framework. It considers developing the basic components of an adaptive learning system such as the learner model, the course content model and the adaptation engine. We use the overlay model and Bayesian network to evaluate learners' knowledge. In addition, we also propose a new content modeling method as well as adaptation engine to generate adaptive course based on learner's knowledge. Based on this approach, we developed an adaptive learning system named is ACGS-II, that teaches students how to design an Entity Relationship model in a database system course. Empirical testing results for students who used the application indicate that our proposed model is very helpful as guidelines to develop adaptive learning system to meet learners' demands.Index Terms-Adaptive Hypermedia, Learner Model, Bayesian Network, ACGS-II.

show abstract

A development shell for cooperative problem-solving environments

Cited by 16 publications

References 11 publications

Pervasive Technology-Enhanced Learning System Integrating Working and Learning Situations

Pervasive Technology-Enhanced Learning System Integrating Working and Learning Situations

Pervasive Learning System Based on a Scenario Model Integrating Web Service Retrieval and Orchestration

Toward an Adaptive Learning System Framework: Using Bayesian Network to Manage Learner Model

Contact Info

Product

Resources

About