Development of e-Learning Solutions: Different Approaches, a Common Mission

Dodero, Juan Manuel; García-Peñalvo, F. J.; González, Carina Soledad González; Moreno-Ger, Pablo; Redondo, Miguel Á.; Cabezuelo, Antonio Sarasa; Sierra, José-Luis

doi:10.1109/rita.2014.2317532

Cited by 28 publications

(21 citation statements)

References 27 publications

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“…According to Dodero et al [5], an agile-oriented is a very accepted solution in both the project management and the process development due to the higher risks of evolution and changes in the requirements and systems architecture and also by the way of developments (or research) teams are composed. The technological ecosystems have a strong evolving component in order to adapt them to the natural evolution of the organizations and institutions [12], in particular, of the PhD Programme.…”

Section: Methodsmentioning

confidence: 99%

Definition of a technological ecosystem for scientific knowledge management in a PhD programme

García‐Holgado

García-Peñalvo

Rodríguez-Conde

2015

Proceedings of the 3rd International Conference on Technological Ecosystems for Enhancing Multiculturality

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Section: Methodsmentioning

confidence: 99%

Definition of a technological ecosystem for scientific knowledge management in a PhD programme

García‐Holgado

García-Peñalvo

Rodríguez-Conde

2015

Proceedings of the 3rd International Conference on Technological Ecosystems for Enhancing Multiculturality

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“…Currently, existing ITS turn this learning through experimentation into “knowing through doing”. The following approaches can be found [7] :…”

Section: Introductionmentioning

confidence: 99%

An intelligent tutoring system for supporting active learning: A case study on predictive parsing learning

Castro-Schez

Glez-Morcillo

Albusac

et al. 2021

Information Sciences

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Highlights We design and develop an intelligent tutoring system to encourage students to learn through experimentation We allow to work at higher levels of Bloom’s Taxonomy with the designed intelligent tutoring system We use artificial intelligence and fuzzy rules to design and develop the learning instructor We establish foundations to build intelligent tutoring system that allow to learn through experimentation

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“…This reality reverses the paradigm of the old distance education experiences representing the evolution through the technological platforms. These use the Internet and/or the web and the user's monitoring and tracking procedures perfectly integrating the pedagogical and technological aspect for a dynamic learning [15].…”

Section: Introductionmentioning

confidence: 99%

“The Postman Always Rings Twice”: Evaluating E-Learning Platform a Decade Later

Ballarano¹,

Colace

Santo³

et al. 2016

Int. J. Emerg. Technol. Learn.

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Abstract-E-Learning represents an effective answer to the continuous request for life-long learning. In fact, this approach allows the flexibility and quality requested by such a kind of learning process. In this scenario, a great number of E-Learning platforms have been introduced on the market and their selection is not a trivial task: various features should be taken into account during the evaluation of an ELearning platform. Obviously, the analysis of the technical features of an E-Learning platform is not enough: it is also important to understand how it can be integrated in the didactic context in order to facilitate learning and training and what principles are applied to guide the way the system is used. A decade ago, the authors of this paper introduced a model for describing and characterizing on-line learning platform components. Today, the aim of this paper is to evaluate and upgrade this model. During this period, many things have changed in the Web (the introduction of social networks, new multimedia protocols, etc.): what has changed in the E-Learning platforms? Today how to evaluate the E-Learning platforms? In this paper the evaluation model will be updated and then used to evaluate the most known existing platforms.

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Development of e-Learning Solutions: Different Approaches, a Common Mission

Cited by 28 publications

References 27 publications

Definition of a technological ecosystem for scientific knowledge management in a PhD programme

Definition of a technological ecosystem for scientific knowledge management in a PhD programme

An intelligent tutoring system for supporting active learning: A case study on predictive parsing learning

“The Postman Always Rings Twice”: Evaluating E-Learning Platform a Decade Later

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