{"id":27,"date":"2017-09-30T05:20:23","date_gmt":"2017-09-30T05:20:23","guid":{"rendered":"http:\/\/educationaldatamining.org\/EDM2018\/?page_id=27"},"modified":"2018-07-13T06:00:24","modified_gmt":"2018-07-13T06:00:24","slug":"home","status":"publish","type":"page","link":"https:\/\/educationaldatamining.org\/EDM2018\/","title":{"rendered":"Home"},"content":{"rendered":"<h3>About the Conference<\/h3>\n<p><a href=\"http:\/\/educationaldatamining.org\/EDM2018\/wp-content\/uploads\/sites\/2\/2018\/07\/EDM-Program-2018.pdf\" target=\"_blank\" rel=\"noopener\"><i class=\"fa fa-file-pdf-o\" aria-hidden=\"true\"><\/i> EDM 2018 Program<\/a><\/p>\n<p>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.<\/p>\n<h3>Topics of interest<\/h3>\n<p>Topics of interest to the conference include, but are not limited to.<\/p>\n<ul>\n<li>Deriving representations of domain knowledge from data.<\/li>\n<li>Detecting and addressing students\u2019 affective and emotional states.<\/li>\n<li>Informing data mining research with educational theory.<\/li>\n<li>Contributing to theories of learning through data mining.<\/li>\n<li>Data mining to understand how learners interact with emerging genres of pedagogical environments such as educational games, MOOCs, and exploratory learning environments.<\/li>\n<li>Analyzing multimodal and sensor data.<\/li>\n<li>Using data mining methods to provide support for teachers, parents and policy makers.<\/li>\n<li>Bridging data mining and learning sciences.<\/li>\n<li>Adapting state-of-the-art data mining approaches to the educational domain.<\/li>\n<li>Building an understanding of social and collaborative learning processes through data mining.<\/li>\n<li>Developing generic frameworks, techniques, research methods, and approaches for educational data mining.<\/li>\n<li>Closing the loop between education data research and educational outcomes.<\/li>\n<li>Automatically assessing student knowledge.<\/li>\n<li>Evaluating the efficacy of curriculum and interventions<\/li>\n<\/ul>\n<p><a href=\"http:\/\/educationaldatamining.org\/EDM2018\/wp-content\/uploads\/sites\/2\/2017\/09\/EDM-2018-CfP-Feb-2018.pdf\"><i class=\"fa fa-file-pdf-o\" aria-hidden=\"true\"><\/i> Call for paper<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>About the Conference EDM 2018 Program 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&#8230; <a class=\"more-link\" href=\"https:\/\/educationaldatamining.org\/EDM2018\/\">Continue Reading &rarr;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-27","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/educationaldatamining.org\/EDM2018\/wp-json\/wp\/v2\/pages\/27","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/educationaldatamining.org\/EDM2018\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/educationaldatamining.org\/EDM2018\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/educationaldatamining.org\/EDM2018\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/educationaldatamining.org\/EDM2018\/wp-json\/wp\/v2\/comments?post=27"}],"version-history":[{"count":9,"href":"https:\/\/educationaldatamining.org\/EDM2018\/wp-json\/wp\/v2\/pages\/27\/revisions"}],"predecessor-version":[{"id":285,"href":"https:\/\/educationaldatamining.org\/EDM2018\/wp-json\/wp\/v2\/pages\/27\/revisions\/285"}],"wp:attachment":[{"href":"https:\/\/educationaldatamining.org\/EDM2018\/wp-json\/wp\/v2\/media?parent=27"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}