Proceedings of the 2nd International Conference on Big Data, Cloud and Applications 2017
DOI: 10.1145/3090354.3090356
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Towards an automatic generator of mathematical exercises based on semantic

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“…We really hope in future work to combine the three differentiated pedagogy methods mentioned in the state of the art section, and this by applying our exerciser (LMATI, 2017) in order to differentiate by assessment content and learning methods using simple self-assessment exercises, problem-type exercises, the publication of a lecture, and also the publication of course reminders based on educational concepts (theorem, definition, etc.). As a perspective, we hope to develop soon: -A prototype for the automatic creation of groups; -A module for interaction and communication between groups within our exerciser; -A module that calculates the percentage of friendship between group members.…”
mentioning
confidence: 99%
“…We really hope in future work to combine the three differentiated pedagogy methods mentioned in the state of the art section, and this by applying our exerciser (LMATI, 2017) in order to differentiate by assessment content and learning methods using simple self-assessment exercises, problem-type exercises, the publication of a lecture, and also the publication of course reminders based on educational concepts (theorem, definition, etc.). As a perspective, we hope to develop soon: -A prototype for the automatic creation of groups; -A module for interaction and communication between groups within our exerciser; -A module that calculates the percentage of friendship between group members.…”
mentioning
confidence: 99%