نتایج جستجو برای: learning scenarios

تعداد نتایج: 699964  

2012
Fabrice Trillaud Phuong Thao Pham Mourad Rabah Pascal Estraillier Jamal Malki

This paper is an overview of our work to deal with scenario representation and management model in Online Distant Learning domain. Our approach is based on scenario structuring using the notion of “situation”. A “situation” is an elementary building block dividing the interactions between actors into contextual scenes. This pattern not only supports the scenario execution, but also its creation...

2005
Fotis Liarokapis

In this paper, an experimental self-teaching system capable of superimposing audio-visual information to support the process of learning to play the guitar is proposed. Different learning scenarios have been carefully designed according to diverse levels of experience and understanding and are presented in a simple way. Learners can select between representative numbers of scenarios and physica...

Journal: :IxD&A 2013
Carlo Giovannella Andrea Iosue Antonello Tancredi Fabrizio Cicola Andrea Camusi Fabrizia Moggio Vincenzo Baraniello Simone Carcone Silvio Coco

This work is intended to foster a “quantum leap” in the reflection on learning in smart cities/territories. We try to move from a vision according to which education is identified with “infrastructures and services” needed to sustain the smart city “organism” (due also to the social capital that it may produce) toward a “new” vision that recovers the founding role of the educative processes, th...

2009
Danail Bozhilov Krassen Stefanov Slavi Stoyanov

The study compares three adaptive learning style scenarios, namely matching, compensating and monitoring. Matching and compensating scenarios operate on a design-time mode, while monitoring applies a run-time adaptation mode. In addition, the study investigates the role of pre-assessment and embedded adaptation controls. To measure the effectiveness of different adaptive scenarios, a software a...

Journal: :Educational Technology & Society 2006
Michael Klebl

Starting from the first public draft of IMS Learning Design in November 2002, a research project at the Catholic University Eichstaett-Ingolstadt in Germany was dedicated to the conceptual examination and empirical review of IMS Learning Design Level A. A prototypical runtime environment called ‘lab005’ was developed. It was built based on Moodle, a web-based, open source course management syst...

This paper proposes an efficient Tracking method for velocity control of an electro-hydraulic servo system (EHSS) in the presence of flow nonlinearities and internal friction. The tracking method controller is a kind of feedback error learning structure. In the proposed method, the Feedback Error Learning (FEL) algorithm is used to control the velocity. There is no need to compute the system ja...

2003
Bernd Eßmann Thorsten Hampel Heinz Nixdorf

Starting out on network supported cooperative learning environments for classical learning scenarios, this article discusses their possible enhancements with respect to new standards of mobile learning scenarios. Exemplary, the pursued adaptation will be described by means of the learning platform sTeam.

2009
M. R. Hepburn

This paper describes a study of mobile learning for undergraduate design and technology education. The methodology is action research, to assess student/ lecturer competencies with mobile learning on two modules. It was found that RSS and Vodcasting learning scenarios require a fundamental shift in stakeholders’ management of internetbased educational information for design and technology educa...

2008
Pierre Laforcade

Present Educational Modelling Languages are used to formally specify abstract learning scenarios in a machine-interpretable format. Current tooling does not provide teachers/designers with some graphical facilities to help them in reusing existent scenarios. They need human-readable representations. This paper discusses the UML4LD experimental research work in relation to the graphical represen...

Journal: :CoRR 2016
Nicolas Usunier Gabriel Synnaeve Zeming Lin Soumith Chintala

We consider scenarios from the real-time strategy game StarCraft as new benchmarks for reinforcement learning algorithms. We propose micromanagement tasks, which present the problem of the short-term, low-level control of army members during a battle. From a reinforcement learning point of view, these scenarios are challenging because the stateaction space is very large, and because there is no...

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