PPT-DataShop: An Educational Data Mining Platform for the Learning Science Community

John Stamper Pittsburgh Science of Learning Center HumanComputer Interaction Institute Carnegie Mellon University About me 2 EDM Data What kinds of data can we collect What levels What is the right size for EDM discovery. Ryan . S.J.d. . Baker. PSLC Summer School 2010. Welcome to the EDM track!. Educational Data Mining. “Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in.” . Chapter 1. Kirk Scott. Iris . virginica. 2. Iris . versicolor. 3. Iris . setosa. 4. 1.1 Data Mining and Machine Learning. 5. Definition of Data Mining. The process of discovering patterns in data.. (The patterns discovered must be meaningful in that they lead to some advantage, usually an economic one.). John Stamper. Pittsburgh Science of Learning Center. Human-Computer Interaction Institute. Carnegie Mellon University. 4/8/2013. The Classroom of the Future. Which picture represents the “Classroom of the Future”?. Release Event. Friday, November 1, 2013. LearnLabdatashop.org. LearnLab. . DataShop. datashop-help@lists.andrew.cmu.edu. http://pslcdatashop.org. pslcdatashop.org. datashop-help@lists.andrew.cmu.edu. Chong Ho Yu. What is data mining?. Data mining (DM) is a cluster of techniques, including decision trees, artificial neural networks, and clustering, which has been employed in the field Business Intelligence (BI) for years.. By Priya Vallabh. Emerging science practices. Innovative e-learning pedagogies . (Sharples et al, 2013). Innovative learning technologies and the power of networked science . (JISC CETIS, 2011; Johnson et al, 2011) . Ryan . S.J.d. . Baker. PSLC Summer School 2012. Welcome to the EDM track!. On behalf of the track lead, John Stamper, and all of our colleagues. Educational Data Mining. “Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in.” . John . Stamper. Pittsburgh Science of Learning Center. Human-Computer Interaction Institute. Carnegie Mellon University. About me.. 2. EDM Data. What kinds of data can we collect?. What levels?. What is the right size for EDM discovery?. Dr. . Kalpakis. , Fall 2017. 1. What is Data Science?. Data scientists, ". The Sexiest Job of the 21st Century. " (Davenport and . Patil. , Harvard Business Review, 2012). M. uch . of the data science explosion is coming from the tech-world. Data Mining. HUDK4050. Fall 2014. Wow. Welcome!. There’s a lot of you. It’s great to see so much continuing interest in EDM at TC. Administrative Stuff. Is everyone signed up for class?. If not, and you want to receive credit, please talk to me after class. Core Methods in Educational Data Mining EDUC691 Spring 2019 Welcome! Administrative Stuff Is everyone signed up for class? If not, and you want to receive credit, please talk to me after class Class Schedule Core Methods in Educational Data Mining EDUC 691 Spring 2019 Assignment BA4 Questions? Comments? Concerns? Association Rule Mining Today’s Class The Land of Inconsistent Terminology Association Rule Mining for. Jianlin Cheng, PhD. Computer Science Department, University of Missouri, Columbia. Center. Importance of Machine Learning and Data Mining. Computer Science . (AI, database, robotics, vision, image processing, . Andrew Wiedlea. Gary Jung. LBNL - IT User Support. 10 May 2017. 1. Overview. As part of supporting our science mission, LBL is working on establishing the right mixture of capabilities to support scientific data management, data analysis and computation..