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\nRecorded\n02 October 2017\nin Lausanne, Vaud, Switzerland\n<\/p>\n
\nEvent:<\/b>\nIC Colloquia<\/a>\n- EPFL IC School Colloquia\n<\/p>\n An educational program of study can be viewed as a knowledge graph consisting of learning units and relationships between them. Such a knowledge graph provides the core data structure for organizing and navigating learning experiences. We address three issues in this talk. First, how can we synthesize the knowledge graph, given a set of concepts to be covered in the study program. Next, how can we use data mining to identify and correct deficiencies in a knowledge graph. Finally, how can we use data mining to form study groups with the goal of maximizing overall learning. We conclude by pointing out some open research problems.<\/p>\n\n<\/div>\n Watched 792 times.<\/p>\n<\/i> Watch<\/a>\n<\/div>\n<\/div>\n<\/div>\n');
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Abstract<\/h4>\n