{"id":24,"date":"2018-09-23T05:43:24","date_gmt":"2018-09-23T05:43:24","guid":{"rendered":"http:\/\/educationaldatamining.org\/edm2019\/?page_id=24"},"modified":"2019-07-09T04:37:23","modified_gmt":"2019-07-09T04:37:23","slug":"home","status":"publish","type":"page","link":"https:\/\/educationaldatamining.org\/edm2019\/","title":{"rendered":"Home"},"content":{"rendered":"

Educational Data Mining in Open-Ended Domains<\/b><\/h3>\n

<\/i>\u00a0<\/a><\/i>\u00a0<\/a><\/i> <\/a><\/i>\u00a0<\/a><\/i><\/span><\/a> \"\"<\/a><\/h3>\n

Educational Data Mining is a leading international forum for high-quality research that mines data sets to answer educational research questions that shed light on the learning process. These data sets may originate from a variety of learning contexts, including learning management systems, interactive learning environments, intelligent tutoring systems, educational games, and data-rich learning activities. Educational data mining considers a wide variety of types of data, including but not limited to raw log files, student-produced artifacts, discourse, multimodal streams such as eye-tracking, and other sensor data. The overarching goal of the Educational Data Mining research community is to better support learners by developing data-driven understandings of the learning process in a wide variety of contexts and for diverse learners.<\/span><\/p>\n

The theme of this year\u2019s conference is EDM in Open-Ended Domains. \u00a0As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks such as writing, design, and collaborative problem-solving. \u00a0And it has been used in new informal contexts where student actions are at best semi-structured. For this 12th iteration of the conference, we specifically welcome research in these new areas. \u00a0<\/span><\/p>\n

Topics of interest<\/h3>\n

Topics of interest to the conference include but are not limited to.<\/p>\n