Titlebook: Computer Supported Education; 6th International Co Susan Zvacek,Maria Teresa Restivo,Markus Helfert Conference proceedings 2015 Springer In

有效

,Persistent Core–Periphery Divide in the EU,the game elements. To support the adaptivity of the game elements, we refer to a user model based on a list of player types. The user model is initialized thanks to the traces of interactions, and finally used to predict which game feature will be relevant for the user.

小丑

https://doi.org/10.1007/978-94-009-8677-0ation, including the answer which learner type benefits the most of a CRS. In Addition we present a conceptual and technical design of a Social CRS, which is aware of social communication and these learner types.

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隱士

Astrophysics and Space Science Libraryk presents the results obtained, the relationships observed among four transversal competences -teamwork, leadership, motivation and results orientation– and the relationships between those competences and other variables such as the project’s final success, the effort ratio and the size of the project team.

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An Exercise Assistant for Practical Networking and IT Security Courses in Higher Education is able to provide feedback and guidance, whenever and whereever it is required by a student. We also show, how expert knowledge and description logic can be used by the exercise assistant to verify a students solution.

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Ingest

Toward an Adaptive Gamification System for Learning Environmentsthe game elements. To support the adaptivity of the game elements, we refer to a user model based on a list of player types. The user model is initialized thanks to the traces of interactions, and finally used to predict which game feature will be relevant for the user.

美色花錢(qián)

Innovating Academic Knowledge Communication with Social Classroom Response Systemsation, including the answer which learner type benefits the most of a CRS. In Addition we present a conceptual and technical design of a Social CRS, which is aware of social communication and these learner types.

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An Analysis of Courses Evaluation Through Clusteringurses evaluation and the corresponding average student results, as well as regularities among groups of courses over the years. Our analysis can be used to detect possible improvements in the organization and teaching of the degree program and applied to any university context collecting similar data.

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