{"id":12168,"date":"2019-11-21T10:22:27","date_gmt":"2019-11-21T18:22:27","guid":{"rendered":"https:\/\/mediax.stanford.edu\/?p=12168"},"modified":"2019-11-21T10:26:24","modified_gmt":"2019-11-21T18:26:24","slug":"algorithms-analytics-learners-learning-presentations","status":"publish","type":"post","link":"https:\/\/mediax.stanford.edu\/news\/algorithms-analytics-learners-learning-presentations\/","title":{"rendered":"Watch Algorithms and Analytics: Connecting the Learner and the Learning Presentations"},"content":{"rendered":"<p>On October 23rd 2019, mediaX hosted the Algorithms and Analytics: Connecting the Learner and the Learning Conference. This full day event brought together experts and members in the mediaX community to explore the frontiers of learning algorithms and analytics and focusing on, Measuring what matters in learning, Designing learning experiences and algorithms for conversation and Developing metatags for open exchange.<\/p>\n<p>Education is experiencing an expansion of new media, tools and practices for measuring attention and engagement in sensory experiences, as well as learners\u2019 physical, cognitive and emotional responses. These frontiers are moving forward quickly. It\u2019s time to carefully examine which indicators of learning are most meaningful. And which can be used ethically in algorithms for personalized learning and for learning at scale. To move these developments forward more quickly, mediaX thought leaders ask: how can data from educational experiences be tagged for open exchange.<\/p>\n<p style=\"text-align: center;\"><strong>Watch the Talks From<\/strong><br \/>\n<em><a href=\"https:\/\/mediax.stanford.edu\/featured-events\/martha-russell-algorithms-analytics-learners-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">Martha Russell<\/a>, <a href=\"https:\/\/mediax.stanford.edu\/featured-events\/ajay-madhok-algorithms-analytics-learners-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">Ajay Madhock<\/a>, <a href=\"https:\/\/mediax.stanford.edu\/featured-events\/emma-brunskill-algorithms-analytics-learners-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">Emma Brunskill<\/a>, <a href=\"https:\/\/mediax.stanford.edu\/featured-events\/bruce-cahan-algorithms-analytics-learners-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">Bruce Cahan<\/a>, <a href=\"https:\/\/mediax.stanford.edu\/featured-events\/karen-wang-algorithms-analytics-learners-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">Karen Wang<\/a>, <a href=\"https:\/\/mediax.stanford.edu\/featured-events\/richard-tong-algorithms-analytics-learners-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">Richard Tong<\/a>, <a href=\"https:\/\/mediax.stanford.edu\/featured-events\/robert-moore-algorithms-analytics-learners-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">Robert Moore<\/a>, <a href=\"https:\/\/mediax.stanford.edu\/featured-events\/dan-schwartz-algorithms-analytics-learners-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">Dan Schwartz<\/a>, <a href=\"https:\/\/mediax.stanford.edu\/featured-events\/nick-haber-algorithms-analytics-learners-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">Nick Haber<\/a>, <a href=\"https:\/\/mediax.stanford.edu\/featured-events\/chris-piech-algorithms-analytics-learners-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">Chris Piech<\/a>, <a href=\"https:\/\/mediax.stanford.edu\/featured-events\/mark-musen-algorithms-analytics-learners-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">Mark Musen<\/a> and the <a href=\"https:\/\/mediax.stanford.edu\/featured-events\/panel-algorithms-analytics-learners-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">Panel Discussion<\/a>.<\/em><\/p>\n<p>Click the name above to see the individual sessions or watch all of the talks in the playlist below.<br \/>\n<a href=\"https:\/\/mediax.stanford.edu\/featured-events\/algorithms-analytics-presentations-members\/attachment\/oct_2019_algorithms_learning_bullet_points\/\" target=\"_blank\" rel=\"attachment noopener wp-att-12125 noreferrer\"><strong>CLICK HERE<\/strong><\/a> for key points each thought leader addressed.<\/p>\n<div class=\"epyt-video-wrapper\"><iframe loading=\"lazy\"  id=\"_ytid_27374\"  width=\"480\" height=\"270\"  data-origwidth=\"480\" data-origheight=\"270\" src=\"https:\/\/www.youtube.com\/embed\/?enablejsapi=1&#038;list=PL2rro4X-RbDHIRMKZRxzhwpjGvtiB5SPm&#038;autoplay=0&#038;cc_load_policy=0&#038;cc_lang_pref=&#038;iv_load_policy=3&#038;loop=0&#038;rel=0&#038;fs=1&#038;playsinline=0&#038;autohide=2&#038;theme=dark&#038;color=red&#038;controls=1&#038;disablekb=0&#038;\" class=\"__youtube_prefs__  epyt-is-override  no-lazyload\" title=\"YouTube player\"  allow=\"fullscreen; accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen data-no-lazy=\"1\" data-skipgform_ajax_framebjll=\"\"><\/iframe><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Relive the presentations as we examine which indicators of learning are most meaningful, which can be used ethically in algorithms for personalized learning and for learning at scale, and how data can be tagged for open exchange.<\/p>\n","protected":false},"author":1,"featured_media":12177,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[75,84,28,23,65,14,24,19,11],"class_list":["post-12168","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-algorithms","tag-analytics","tag-communication","tag-computation","tag-digital-learning","tag-education","tag-interaction","tag-learning","tag-machine-learning"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - 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