ºÝºÝߣshows by User: aybuketurker / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: aybuketurker / Tue, 08 Sep 2015 14:48:44 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: aybuketurker Key Educational Data Mining and Learning Analytics Methods. /slideshow/key-educational-data-mining-and-learning-analytics-methods/52541683 screenshot2015-09-08at9-150908144844-lva1-app6892
Key Educational Data Mining and Learning Analytics Methods and Models. ]]>
Key Educational Data Mining and Learning Analytics Methods and Models. ]]> Tue, 08 Sep 2015 14:48:44 GMT /slideshow/key-educational-data-mining-and-learning-analytics-methods/52541683 aybuketurker@slideshare.net(aybuketurker) Key Educational Data Mining and Learning Analytics Methods. aybuketurker Key Educational Data Mining and Learning Analytics Methods and Models. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/screenshot2015-09-08at9-150908144844-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Key Educational Data Mining and Learning Analytics Methods and Models.
Key Educational Data Mining and Learning Analytics Methods. from aybuke turker
]]> 308 7 https://cdn.slidesharecdn.com/ss_thumbnails/screenshot2015-09-08at9-150908144844-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Going from Raw Data to Impactful Predictions /slideshow/going-from-raw-data-to-impactful-predictions/52275741 henridwyerpresentationaybukeadded03-150901023641-lva1-app6891
In this talk, Henri Dwyer will guide the audience through analyzing real educational data, taken from Ryan Baker's MOOC: Big Data in Education. Ryan Baker was our previous speaker and if you want to have some hands on experience about the data he talked about, this meetUp is for you. The goal of this talk is to show how data scientists go from the data to actually gaining insights and making predictions, and to teach how to do it. First, Henri Dwyer will lay down the foundations and data science concepts necessary to understand the analysis. Next, he will construct data science workflows using Python and Data Science Studio to analyze data ranging from detecting students that are gaming the system, to identifying sequences of student events and how they affect behavior.]]>
In this talk, Henri Dwyer will guide the audience through analyzing real educational data, taken from Ryan Baker's MOOC: Big Data in Education. Ryan Baker was our previous speaker and if you want to have some hands on experience about the data he talked about, this meetUp is for you. The goal of this talk is to show how data scientists go from the data to actually gaining insights and making predictions, and to teach how to do it. First, Henri Dwyer will lay down the foundations and data science concepts necessary to understand the analysis. Next, he will construct data science workflows using Python and Data Science Studio to analyze data ranging from detecting students that are gaming the system, to identifying sequences of student events and how they affect behavior.]]> Tue, 01 Sep 2015 02:36:41 GMT /slideshow/going-from-raw-data-to-impactful-predictions/52275741 aybuketurker@slideshare.net(aybuketurker) Going from Raw Data to Impactful Predictions aybuketurker In this talk, Henri Dwyer will guide the audience through analyzing real educational data, taken from Ryan Baker's MOOC: Big Data in Education. Ryan Baker was our previous speaker and if you want to have some hands on experience about the data he talked about, this meetUp is for you. The goal of this talk is to show how data scientists go from the data to actually gaining insights and making predictions, and to teach how to do it. First, Henri Dwyer will lay down the foundations and data science concepts necessary to understand the analysis. Next, he will construct data science workflows using Python and Data Science Studio to analyze data ranging from detecting students that are gaming the system, to identifying sequences of student events and how they affect behavior. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/henridwyerpresentationaybukeadded03-150901023641-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this talk, Henri Dwyer will guide the audience through analyzing real educational data, taken from Ryan Baker&#39;s MOOC: Big Data in Education. Ryan Baker was our previous speaker and if you want to have some hands on experience about the data he talked about, this meetUp is for you. The goal of this talk is to show how data scientists go from the data to actually gaining insights and making predictions, and to teach how to do it. First, Henri Dwyer will lay down the foundations and data science concepts necessary to understand the analysis. Next, he will construct data science workflows using Python and Data Science Studio to analyze data ranging from detecting students that are gaming the system, to identifying sequences of student events and how they affect behavior.
Going from Raw Data to Impactful Predictions from aybuke turker
]]> 2499 10 https://cdn.slidesharecdn.com/ss_thumbnails/henridwyerpresentationaybukeadded03-150901023641-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-aybuketurker-48x48.jpg?cb=1546554866 With a focus on educational data mining for her PhD, Aybuke is curious to see if there is a viable way for cognitive computing and data to create dynamic data driven learning experiences to enable new ways of personalized learning. Before joining to Games+Learning+Society Center and Complex Play Lab at UW Madison, Aybuke completed her Master’s degree program in Digital Media Design for Learning at NYU. With a concentration in Games for Learning, she has created digital media for learning, including physical and digital games, mobile apps, websites and tangible interfaces. Her goal is to make learning addictive, adaptive and personalized. Her favorite quote is "Analytics are never neu... www.aybuketurker.com https://cdn.slidesharecdn.com/ss_thumbnails/screenshot2015-09-08at9-150908144844-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/key-educational-data-mining-and-learning-analytics-methods/52541683 Key Educational Data M... https://cdn.slidesharecdn.com/ss_thumbnails/henridwyerpresentationaybukeadded03-150901023641-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/going-from-raw-data-to-impactful-predictions/52275741 Going from Raw Data to...