{"id":110,"date":"2019-10-01T04:47:45","date_gmt":"2019-10-01T04:47:45","guid":{"rendered":"http:\/\/educationaldatamining.org\/edm2020\/?page_id=110"},"modified":"2020-05-14T15:18:35","modified_gmt":"2020-05-14T15:18:35","slug":"call-for-papers","status":"publish","type":"page","link":"https:\/\/educationaldatamining.org\/edm2020\/call-for-papers\/","title":{"rendered":"Call for Papers"},"content":{"rendered":"\n<h1 class=\"wp-block-heading\"><strong>EDM 2020: the 13<\/strong><strong><sup>th<\/sup><\/strong><strong> International Conference on Educational Data Mining<\/strong><\/h1>\n\n\n\n<p><strike>Ifrane, Morocco<\/strike> Fully virtual conference, July 10-13, 2020<\/p>\n\n\n\n<a href=\"http:\/\/educationaldatamining.org\/edm2020\/wp-content\/uploads\/sites\/4\/2020\/05\/CFPv7.pdf\">Shareable Call for Papers <i class=\"fa fa-file-pdf-o \" ><\/i><\/a>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Improving Learning Outcomes for All Learners<\/strong><\/h2>\n\n\n\n<p>Educational Data Mining is a leading international forum for high-quality research that mines datasets to answer educational research questions, including exploring how people learn and how they teach. These data may originate from a variety of learning contexts, including learning and information 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, and multimodal streams such as eye-tracking and other sensor data. The overarching goal of the Educational Data Mining research community is to support learners and teachers more effectively, by developing data-driven understandings of the learning and teaching processes in a wide variety of contexts and for diverse learners.<\/p>\n\n\n\n<p>The theme of this year\u2019s conference is \u201cImproving Learning Outcomes for All Learners\u201d. The theme comprises two parts: (1) Identifying <strong>actionable<\/strong> learning or teaching strategies that can be used to <strong>improve<\/strong> learning outcomes. (2) Using EDM to promote more <strong>equitable<\/strong> learning across diverse groups of learners. For this 13<sup>th<\/sup> iteration of the conference we specifically welcome research that advances these areas.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Topics of interest<\/strong><\/h2>\n\n\n\n<p>Topics of interest to the conference include but are not limited to:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Causal inference of which factors impact &#8212; not just predict &#8212; students\u2019 learning.<\/li><li>Developing and applying fairer learning algorithms that exhibit similar performance across subgroups of students, and detecting instances of algorithmic unfairness in existing methods.<\/li><li>Replicating previous studies with larger sample sizes, in different domains, and\/or in more diverse contexts.<\/li><li>Modeling student and group interactions for collaborative and\/or competitive problem-solving.<\/li><li>EDM for gamification and in educational games.<\/li><li>Deriving representations of domain knowledge from data.<\/li><li>Modeling real-world problem-solving in open-ended domains.<\/li><li>Modeling and detecting students\u2019 affective and cognitive states (e.g., engagement, confusion) with multimodal data.<\/li><li>Ethical considerations in EDM.<\/li><li>Closing the loop between EDM research and educational outcomes to yield actionable advice.<\/li><li>Informing data mining research with educational and\/or motivational theory.<\/li><li>Developing new techniques for mining educational data.<\/li><li>Data mining to understand how learners interact in formal and informal educational contexts.<\/li><li>Bridging the gap between data mining and learning sciences.<\/li><li>Legal and social policies to govern EDM.<\/li><li>Automatically assessing student knowledge.<\/li><li>Social network analysis of student and teacher interactions.<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Submission Types<\/strong><\/h2>\n\n\n\n<p>For all tracks,<strong> the references section at the end of the paper does not count towards the listed page limits<\/strong>.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Full Papers<\/strong> \u2014 10 pages. Should describe original, substantive, mature, and unpublished work.<\/li><li><strong>Short Papers<\/strong> \u2014 6 pages. Should describe original, unpublished work. This includes early stage, less developed works in progress.<\/li><li><strong>JEDM Journal Track Papers<\/strong> \u2014 Papers submitted to the Journal of Educational Data Mining track (and accepted before April 9th) will be published in JEDM and presented during the JEDM track of the conference.<\/li><li><strong>Industry Papers<\/strong> \u2014 6 pages. Should describe innovative uses of EDM techniques in a commercial setting.<\/li><li><strong>Doctoral Consortium<\/strong> \u2014 2-4 pages. Should describe the graduate\/postgraduate student\u2019s research topic, proposed contributions, results so far, and aspects of the research on which advice is sought.<\/li><li><strong>Posters\/Demos<\/strong>\u2014 2-4 pages. Posters should describe original unpublished work in progress or last-minute results. Demos should describe EDM tools and systems, or educational systems that use EDM techniques.<\/li><\/ul>\n\n\n\n<p>JEDM track papers should be formatted according to the JEDM guidelines and should be submitted to the journal directly at:<\/p>\n\n\n\n<p><a href=\"https:\/\/jedm.educationaldatamining.org\/index.php\/JEDM\/about\/submissions\">https:\/\/jedm.educationaldatamining.org\/index.php\/JEDM\/about\/submissions<\/a><\/p>\n\n\n\n<p>All other papers should be formatted according to the EDM template:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Word: <a href=\"http:\/\/educationaldatamining.org\/edm2020\/wp-content\/uploads\/sites\/4\/2019\/09\/edm_word_template2020.doc\">http:\/\/educationaldatamining.org\/edm2020\/wp-content\/uploads\/sites\/4\/2019\/09\/edm_word_template2020.doc<\/a><\/li><li>LaTeX: <a href=\"http:\/\/educationaldatamining.org\/edm2020\/wp-content\/uploads\/sites\/4\/2019\/09\/edm_submission2020.zip\">http:\/\/educationaldatamining.org\/edm2020\/wp-content\/uploads\/sites\/4\/2019\/09\/edm_submission2020.zip<\/a><\/li><\/ul>\n\n\n\n<p>All accepted papers will be published in the open-access proceedings of the conference, with the exception of the Journal track as stated above. All paper submissions must be submitted for double-blind reviewing.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Workshops and Tutorials<\/strong><\/h2>\n\n\n\n<p>We invite workshops and tutorials (to be held on July 10) on important topics for the EDM community, including especially emerging subfields. Workshop proposals (2-4 pages) should describe the organizers\u2019 plan both to conduct the workshop (e.g., format, rough schedule, proposed list of speakers) as well as to stimulate growth in the workshop\u2019s area of focus.&nbsp;<\/p>\n\n\n\n<p>Tutorial proposals (2-4 pages) should motivate and describe succinctly the field or tool that will be presented, as well as a plan for attendees to learn it in a hands-on way.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Important Dates<\/strong><\/h2>\n\n\n\n<table class=\"wp-block-table\"><tbody><tr><td>JEDM track papers<\/td><td>December 20, 2019, 11:59 PM PST<\/td><\/tr><tr><td>Workshop and Tutorial proposals<\/td><td>February 3, 2020, 11:59 PM PST (Extended)<\/td><\/tr><tr><td>Acceptance notifications for workshops and tutorials<\/td><td>February 17, 2020, 11:59 PM PST<\/td><\/tr><tr><td>Abstracts for full and short papers<\/td><td><strong>March 3, 2020, 11:59 PM PST (extended)<\/strong><\/td><\/tr><tr><td>Full papers and short papers<\/td><td><strong>March 9, 2020, 11:59 PM PST (extended)<\/strong><\/td><\/tr><tr><td>Industry papers<\/td><td><strong>March 9, 2020, 11:59 PM PST (extended)<\/strong><\/td><\/tr><tr><td>Posters and demos<\/td><td><strong>March 26, 2020, 11:59 PM PST (extended)<\/strong><\/td><\/tr><tr><td>Doctoral consortium papers (<a href=\"http:\/\/educationaldatamining.org\/edm2020\/doctoral-consortium-extension\/\">A word from the organizers<\/a>)<\/td><td><strong>April 13, 2020, 11:59 PM PST (Extended)<\/strong><\/td><\/tr><tr><td>Acceptance notifications for full and short papers<\/td><td><strong>April 26, 2020, 11:59 PM PST (extended)<\/strong><\/td><\/tr><tr><td>Acceptance notifications for posters, demos, and doctoral consortium papers<\/td><td><strong>May 5, 2020, 11:59 PM PST (extended)<\/strong><\/td><\/tr><tr><td>Camera-ready copy due<\/td><td><strong>May 30, 2020, 11:59 PM PST (extended)<\/strong><\/td><\/tr><tr><td>Due dates and acceptance notifications for workshop papers<\/td><td>Set by workshop organizers<\/td><\/tr><\/tbody><\/table>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Organizing team<\/strong>&nbsp;<\/h2>\n\n\n\n<p><strong>General chairs:<\/strong><br>Violetta Cavalli-Sforza (Al Akhawayn University, Morocco)<br>Cristobal Romero (University of Cordoba, Spain)<\/p>\n\n\n\n<p><strong>Program chairs:<\/strong><br>Anna Rafferty (Carleton College, USA) <br>Jacob Whitehill (Worcester Polytechnic Institute, USA)&nbsp;<\/p>\n\n\n\n<p>Hope to see you all at EDM 2020!<br><\/p>\n","protected":false},"excerpt":{"rendered":"<p>EDM 2020: the 13th International Conference on Educational Data Mining Ifrane, Morocco Fully virtual conference, July 10-13, 2020 Shareable Call for Papers Improving Learning Outcomes for All Learners Educational Data Mining is a leading international forum for high-quality research that&#8230; <a class=\"more-link\" href=\"https:\/\/educationaldatamining.org\/edm2020\/call-for-papers\/\">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":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"class_list":["post-110","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/educationaldatamining.org\/edm2020\/wp-json\/wp\/v2\/pages\/110","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/educationaldatamining.org\/edm2020\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/educationaldatamining.org\/edm2020\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2020\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2020\/wp-json\/wp\/v2\/comments?post=110"}],"version-history":[{"count":22,"href":"https:\/\/educationaldatamining.org\/edm2020\/wp-json\/wp\/v2\/pages\/110\/revisions"}],"predecessor-version":[{"id":407,"href":"https:\/\/educationaldatamining.org\/edm2020\/wp-json\/wp\/v2\/pages\/110\/revisions\/407"}],"wp:attachment":[{"href":"https:\/\/educationaldatamining.org\/edm2020\/wp-json\/wp\/v2\/media?parent=110"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}