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Educational Data Mining (EDM): Turning Big Data into Big Gains for Students
 
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From making travel plans, to online purchases, to watching videos, each day we generate vast amounts of data that contribute to the world of big data. We have already seen big data play a significant role in areas like marketing and science. Now, education has joined the big data movement. In the past, education data was sparse and disparate. Collected across individual gradebooks and housed within multiple platforms, data was inaccessible, laborious, and difficult to analyze. Thankfully, this has changed. Now, educators and researchers can access incredibly rich and meaningful logs about student learning behavior on educational software, and by employing EDM (education data mining), discover a great deal about how students learn. By connecting this powerful data and asking the right questions, there is potential to change the future of education. Learn about the ability to leverage meaningful data with EDM and learning analytics, and find out how to turn big data into big gains for students. Attend this webinar to discover how: Learning analytics and EDM are already transforming education EDM advancements can assess students’ knowledge as they are learning Specific EDM methods are proving useful in understanding and predicting which students are likely to succeed in 21st century careers Learning analytics can provide insight into the effectiveness of educational technology programs and the conditions under which these programs have the greatest return on learning
Views: 808 eschoolnews
Educational Data Mining: Predict the Future, Change the Future
 
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Teachers College is proud to introduce the 2012-13 Julius and Rosa Sachs Distinguished Lecturer Professor Ryan Baker, Columbia University. Ryan Shaun Joazeiro de Baker is Visiting Associate Professor in the Department of Human Development. He earned his Ph.D. in Human-Computer Interaction from Carnegie Mellon University, and was a post-doctoral fellow in the Learning Sciences at the University of Nottingham. He earned his Bachelor's Degree (Sc.B.) in Computer Science from Brown University. Dr. Baker has been Assistant Professor of Psychology and the Learning Sciences at Worcester Polytechnic Institute. He previously served as the first Technical Director of the Pittsburgh Science of Learning Center DataShop, the largest public repository for data on the interaction between learners and educational software. He is currently serving as the founding President of the International Educational Data Mining Society, and as Associate Editor of the Journal of Educational Data Mining. His research combines educational data mining, learning analytics and quantitative field observation methods in order to better understand how students respond to educational software, and how these responses impact their learning. He studies these issues within intelligent tutors, simulations, and educational games. In recent years, he and his colleagues have developed strategies to make inferences in real-time about students' motivation, meta-cognition, affect, and robust learning.
Introduction to Data Mining for Educational Researchers
 
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Recording of a tutorial held at the second annual Learning Analytics Summer Institute on Data Mining aimed at Educational Researchers.
Views: 1037 Christopher Brooks
Big Data, the Science of Learning, Analytics, and Transformation of Education
 
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From the mediaX Conference “Platforms for Collaboration and Productivity”, Candace Thille, with the Stanford Graduate School of Education highlights the power of platform tools and technologies to transform observation and data collection. This process enables researchers from industry and academia to know their user better – as consumers, as producers, and as learners.
Views: 8495 Stanford
How can data science and analytics improve education? [Wamda TV]
 
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The Arab region still lags behind when it comes to mining big data for decision making, especially in the education sector. While globally, universities and schools embarked on a data driven approach to predict students behavior. In this video, Dr. Fatima Abu Salem from the AUB and Sara Najem consultant at Caltech discuss the importance of data science in disrupting the education sector in the Arab region. Help us caption & translate this video! http://amara.org/v/5u57/
Views: 413 Wamda
Abschlussvortrag – Educational Data Mining
 
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Das großflächige Sammeln, Verknüpfen und automatisierte Auswerten von Daten verändert unsere Lebenswelt auf vielfältige (und nicht immer nur positive) Weise. Durch die fortschreitende Digitalisierung in der Bildung, z. B. durch e-Learning Systeme, können diese unter den Schlagworten "Data Mining" bzw. "Big Data" zusammengefassten Methoden nun auch vermehrt in der Bildungsforschung eingesetzt werden. Dieses "Educational Data Mining" erlaubt neue Einblicke in Lehr-Lern-Prozesse, die bisher nicht möglich waren. Es werden einige grundlegende Methoden und Ergebnisse dieses noch recht jungen Wissenschaftszweigs vorgestellt und diskutiert, inwiefern sie auch für den eigenen Unterricht relevant sein können. Vortrag von Andreas Mühling, Informatik-Didaktik, Universität Kiel auf der MINTdigital Lehrertagung 2017.
Data Mining Lecture - - Finding frequent item sets | Apriori Algorithm | Solved Example (Eng-Hindi)
 
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In this video Apriori algorithm is explained in easy way in data mining Thank you for watching share with your friends Follow on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy data mining in hindi, Finding frequent item sets, data mining, data mining algorithms in hindi, data mining lecture, data mining tools, data mining tutorial,
Views: 154236 Well Academy
Data Preprocessing
 
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Project Name: Learning by Doing (LBD) based course content development Project Investigator: Prof Sandhya Kode
Views: 31743 Vidya-mitra
What is Educational Data Mining?
 
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Leading experts from the field of Educational Data Mining weigh in what exactly they do. FEATURING David Lindrum (Founder & Course Designer, Soomo Learning) Tiffany Barnes (Associate Professor of Computer Science, North Carolina State University) Vineet Sinha (Director Analytics Platforms, Cengage Learning) Ryan Baker (Associate Professor of Cognitive Studies, Teachers College Columbia University) April Galyardt (Assistant Professor, University of Georgia College of Education) Scott McQuiggan (Director, SAS Curriculum Pathways) RECORDED AND PRODUCED BY Timothy D. Harfield
Views: 262 Timothy Harfield
Data Mining for Educational Researchers
 
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Chris Brooks
Views: 129 LINK Lab
Learn Educational Data Mining
 
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EDM- Educational Data Mining
Views: 33 Dheeraj Mehrotra
Higher Education Access Prediction Using Data Mining
 
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This Video shows the demonstration of “Online Auction Using Shill Bidding Prevention”. Human cheating has been a barrier to establishing trust among e-commerce users, throughout the last two decades. In particular, in online auctions, since all the transactions occur among anonymous users, trust is difficult to establish and maintain. At present, shill bidding is the most severe and persistent form of cheating in online auctions, but still there are only a few or no established techniques for shill defense at run-time. Evaluating the strengths and weaknesses of existing approaches to combating shill bidding. Proposed system prevents shilling activities by monitoring bidding behavior and user history. IP tracking techniques are proposed to detect shilling. The system also takes necessary actions against shill activities at run-time. The experimental results demonstrate that, by prevention, detection and response mechanisms, the proposed auction system keeps the auction users secured from shill bidding and therefore establishes trust among online auction users. Sellers may find lower prices where their items are sold at auctions which potential bidders are avoiding. To prevent this shill bidding process, we developed such a system that makes the bidding process neat and clean. To get this project, visit http://nevonprojects.com/online-auction-using-shill-bidding-prevention/ We provide Product Delivery and Customer Support Worldwide, so enter your country details on the website for the pricing details. CHECK OUT COLLECTION OF SOME OF OUR OTHER “Web - Based Project” 1) College Admission Predictor https://youtu.be/A8A6CCd1kzY 2) Exam Cell Automation System https://youtu.be/cfbuEkNyjYk 3) Web Content Trust Rating Prediction Using Evidence Theory https://youtu.be/92jgFhEWnf0 4) Customer Behavior Prediction Using Web Usage Mining https://youtu.be/YXS3r71wFAY 5) Web Mining For Suspicious Keyword Prominence https://youtu.be/CrWD8YzVafk To subscribe this channel click the link https://www.youtube.com/channel/UCisTN-GbgzzLRXftgnCJGKg?sub_confirmation=1 “Nevon Express” is our other channel, watch it at https://www.youtube.com/channel/UCJbZbcQI5PNDvP4TSZUkHRQ
Views: 8158 Nevon Projects
Using Data to Analyze Learning
 
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Introduction to Educational Data Mining, Dr. Luc Paquette
Predicting Instructor Performance Using Data Mining Techniques in Higher Education
 
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Predicting Instructor Performance Using Data Mining Techniques in Higher Education -- Data mining applications are becoming a more common tool in understanding and solving educational and administrative problems in higher education. In general, research in educational mining focuses on modeling student's performance instead of instructors' performance. One of the common tools to evaluate instructors' performance is the course evaluation questionnaire to evaluate based on students' perception. In this paper, four different classication techniquesdecision tree algorithms, support vector machines, articial neural networks, and discriminant analysisare used to build classier models. Their performances are compared over a data set composed of responses of students to a real course evaluation questionnaire using accuracy, precision, recall, and specicity performance metrics. Although all the classier models show comparably high classication performances, C5.0 classier is the best with respect to accuracy, precision, and specicity. In addition, an analysis of the variable importance for each classier model is done. Accordingly, it is shown that many of the questions in the course evaluation questionnaire appear to be irrelevant. Furthermore, the analysis shows that the instructors' success based on the students' perception mainly depends on the interest of the students in the course. The ndings of this paper indicate the effectiveness and expressiveness of data mining models in course evaluation and higher education mining. Moreover, these ndings may be used to improve the measurement instruments. Articial neural networks, classication algorithms, decision trees, linear discriminant analysis, performance evaluation, support vector machines. -- For More Details Contact Us -- S.Venkatesan Arihant Techno Solutions Pudukkottai www.arihants.com Mobile: +91 75984 92789
SPS2017: Educational Data Mining Software
 
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The video is giving details about research software developed using WEKA (Open source Data Mining tool) and JAVA (Programming Language). The first version is developed in 2017. Anyone having the link can download this software and directly use this software without any installation. All the instructions are given in 'README.txt' file in a downloaded zip folder. Any suggestions and questions are invited in the comment section below. Feel free to add below. Music Credits: Youtube Audio Library
Development of a Data Mining Education Framework for Data Visualization in Distance Learning Envir.
 
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Development of a Data Mining Education Framework for Data Visualization in Distance Learning Environments. Presentation of published research at the Twenty-Nine International Conference on Software Engineering and Knowledge Engineering (SEKE 2017).
Views: 27 Angelo Dias
AN INVESTIGATION OF STUDENTS BEHAVIOR IN DISCUSSION FORUMS USING EDUCATIONAL DATA MINING.
 
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Presentation of published research at the Twenty-Eighth International Conference on Software Engineering and Knowledge Engineering (SEKE 2016).
Views: 157 Crystiano Jose
A Systematic Review on Educational Data Mining | Final year Projects 2016 - 2017
 
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Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/dhBA4M Chat Now @ http://goo.gl/snglrO Visit Our Channel: https://www.youtube.com/user/myprojectbazaar Mail Us: [email protected]
Views: 380 Clickmyproject
RANT: SGT Report DELETED!! Data Mining/Mind Control Though Education Technology
 
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When YouTube decides to censor and delete channels that have over 300,000 subscribers for simply reporting the truth, it becomes apparent that many of us on this platform are probably not too far behind. For many of us who have been exposing the nefarious activities of the elite, there will come a cross roads when we will either have to comply to their brand of useless mind manipulating content, or be cut off. The enforcement won't necessarily have to come through some sort of violent uprising. Rather, it will come from the education system itself, programming the minds of an entire generation with the cloud of data and recorded experiences to "learn" from. The elimination of such individualism will result in the loss of identity, in exchange for something else...just like losing the image of God in exchange for the image of the beast. LINKS SGT Report Back up Channel https://www.youtube.com/user/SGTreport https://www.sgtreport.com/2018/07/you-tube-is-even-worse-than-big-brother-they-delete-history-altogether/ ADL http://www.adlnet.gov/research SRI Ventures https://www.sri.com/engage/ventures/all PERLS http://www.adlnet.gov/PERLS Leaked Google Video https://www.youtube.com/watch?v=QDVVo14A_fo&app=desktop ≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡ ◘SUBSCRIBE!! https://goo.gl/xtq0Vs ◘PLEASE CONSIDER SUPPORTING THIS MINISTRY -Paypal: https://goo.gl/lW4Q5K -Patreon - https://www.patreon.com/Facelikethesun -Bitcoin Donation: 13waWLWfRhxSoCPcf7MPg1VCATvvhVCHwZ -Ethereum Donation: 0x178d86c4F8497CFbD234c66bE28824947f4F3E1D ◘FaceLikeTheSun Blog http://facelikethesun.com ◘Canary Cry Radio YouTube Channel http://goo.gl/Qtd44w ◘PODCAST Canary Cry Radio http://canarycryradio.com ◘Facebook http://facebook.com/canarycryradio ◘Twitter http://twitter.com/facelikethesun ◘steemit https://steemit.com/@facelikethesun ◘AGE OF DECEIT: Fallen Angels and the New World Order (2011) https://goo.gl/MLlM2g ◘AGE OF DECEIT 2: Alchemy and the Rise of the Beast Image (2014) https://goo.gl/SkT8KJ
Views: 22659 FaceLikeTheSun
Common Core Education EXPOSED!  Data Mining
 
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CLICK on a link below to jump to a segment. 00:00:00 Common Core Example 00:01:40 DENISE PURSCHE : Introduction 00:05:05 LIA BUSH : Panelist intros 00:08:10 SANDRA STOTSKY, Ed. D. 00:38:29 Dr. JAMES MILGRAM 01:10:10 KEVIN SNIDER, Attorney 01:19:55 ELISE COOKE: Data Mining 01:34:16 QUESTIONS 01:34:48 - Parent: our CC "opt our form" returned unopened 01:37:26 - Data Mining 01:40:48 - Data mining: what can we do? 01:44:18 - Did signers benefit for signing CC model? 01:46:05 - What do universities think of CC? 01:48:10 - No mention at all of "prime factorization"? 01:50:34 - Segregating children by collected data 01:52:49 - View of CC by substitute teacher 02:00:48 - Online tests and content of questions 02:03:46 - Why was CC implemented when it goes against the 10th amendment? 02:05:53 - What do you think of "mental math" and breaking apart of numbers? 02:09:16 - Our children have not been being taught for years... 02:13:50 - View from a teacher: "We are being coerced"... 02:19:26 SALLY WOOD: Closing Video by Steve Kemp
Views: 1016 Steve Kemp
SAXually Explicit Images: Data Mining Large Shape Databases
 
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Google TechTalks May 12, 2006 Eamonn Keogh ABSTRACT The problem of indexing large collections of time series and images has received much attention in the last decade, however we argue that there is potentially great untapped utility in data mining such collections. Consider the following two concrete examples of problems in data mining. Motif Discovery (duplication detection): Given a large repository of time series or images, find approximately repeated patterns/images. Discord Discovery: Given a large repository of time series or images, find the most unusual time series/image. As we will show, both these problems have applications in fields as diverse as anthropology, crime...
Views: 4643 Google
Statistical Aspects of Data Mining (Stats 202) Day 1
 
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Google Tech Talks June 26, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Google engEDU Speaker: David Mease
Views: 2829 GoogleTalksArchive
Statistical Aspects of Data Mining (Stats 202) Day 7
 
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Google Tech Talks July 17, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Google engEDU Speaker: David Mease
Views: 1591 GoogleTalksArchive
Data Security and Google Apps for Education
 
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What is the best way to answer questions about Google and data mining in students accounts? In this video, we give you 3 tips to answering concerns. We have also created a Google Doc with lots of resources for you to look at. Google Privacy Information: https://docs.google.com/a/teacherstraining.com.au/document/d/13LyX0hTW7E3YRozYRq10eyLPLHOvIE8G8dw21E5vAJ4/edit# Want to stay up to date with more Google Apps tips & tricks? Click here to subscribe http://www.youtube.com/subscription_center?add_user=teacherstraining And........please click 'Like' You can also check out http://www.googleappsforedu.com
Statistical Aspects of Data Mining (Stats 202) Day 1
 
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Google Tech Talks June 26, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
Views: 213697 GoogleTechTalks
APPLICATION OF BIG DATA IN EDUCATION DATA MINING
 
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APPLICATION OF BIG DATA IN EDUCATION DATA MINING
Views: 288 Chennai Sunday
Predictive Analytics For Education
 
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What is Predictive Analytics? Predictive Analytics is the stream of the advanced analytics which utilizes diverse techniques like data mining, predictive modelling, statistics, machine learning and artificial intelligence to analyse current data and predict future. To Know more: https://goo.gl/zAcnCR Students At Risk – Predictive Analytics case study for Online education. Explains the challenges faced by online education and the how various models are built to draw the insights. Don’t miss the revelations in Conclusions section. A very interesting one!!Enjoy!! https://goo.gl/8nKgCH Like the Video follow us for more: Facebook: https://www.facebook.com/Altencalsoftlabs/ Twitter: https://twitter.com/Altencalsoftlab LinkedIn: https://in.linkedin.com/company/calsoft-labs-india-p-ltd-an-alten-group-company Google+: https://plus.google.com/u/0/+Altencalsoftlabs _________________________________________________________________ Looking for similar IT Services? Write to us [email protected] (OR) Visit Us @ https://www.altencalsoftlabs.com/
Views: 228 ALTEN Calsoft Labs
Statistical Aspects of Data Mining (Stats 202) Day 7
 
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Google Tech Talks July 17, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
Views: 20885 GoogleTechTalks
Data Mining in Education
 
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I created this video with the YouTube Video Editor (http://www.youtube.com/editor)
Views: 666 stlgretchen
classroom visualization through the eras + educational data  mining and E-learning
 
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visualization to a teacher situation through the eras of education, in order to illustrate the impact and the importance of using educational data mining technique
Views: 57 norahalhajri
15 Hot Trending PHD Research Topics in Data Mining 2018
 
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15 Hot Trending Data Mining Research Topics 2018 1. Medical Data Mining 2. Education Data Mining 3. Data Mining with Cloud Computing 4. Efficiency of Data Mining Algorithms 5. Signal Processing 6. Social Media Analytics 7. Data Mining in Medical Science 8. Government Domain 9. Financial Data Analysis 10. Financial Accounting Fraud Detection 11. Customer Analysis 12. Financial Growth Analysis using Data Mining 13. Data Mining and IOT 14. Data Mining for Counter-Terrorism Key Research Application Fields: • Crisp-DM • Oracle Data mining • Web Mining • Open NN • Data Warehousing • Text Mining WHY YOU NEED TO OUTSOURCE TO PhD Assistance: a) Unlimited revisions b) 24/7 Admin Support c) Plagiarism Generate d) Best Possible Turnaround time e) Access to High qualified technical coordinators and expertise f) Support: Skype, Live Chat, Phone, Email Contact us: India: +91 8754446690 UK: +44-1143520021 Email: [email protected] Visit Webpage: https://goo.gl/HwJgqQ Visit Website: http://www.phdassistance.com
Views: 2408 PhD Assistance
Statistical Aspects of Data Mining (Stats 202) Day 8
 
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Google Tech Talks July 20, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
Views: 17862 GoogleTechTalks
Education: Student Data is the Price.
 
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Education "reform" is a business, with many hands reaching in for a piece of action. Many say the "reform" has nothing to do with education but more to do with corporate elitists directing global economies and profiting off children and taxpayer education dollars. Children are suffering. The "rigorous" reform of Common Core is unproven, the associated tests, not validated, not created or seen by teachers. Technology has advanced, bringing computers into the classroom. While technology can be powerful, the real time, all-the-time capturing of children's data is not regulated, not well understood and ripe for abuse, misuse and profit. Open data is a 3 TRILLION dollar a year industry and education is by far the most data-mineable and profitable. Corporations are gobbling up student data and there are no laws preventing them from selling your child's data. We ask you to stand up for children. Say no. Refuse the reform. Links and thanks: Pitch Perfect, http://www.imdb.com/title/tt1981677/ Bella's Final song https://www.youtube.com/watch?v=6nhvYBvw3yE 60 Minutes: The Data Brokers https://www.youtube.com/watch?v=_Cty7ctycsI Washington Post: Astonishing amount of data collected about your children https://www.washingtonpost.com/news/answer­sheet/wp/2015/11/12/the­astonishing- amount­of­data­being­collected­about­your­children/ Fortune : How Business Got Schooled Exxon Mobil, GE, Intel, and others pushed for the education standards http://fortune.com/common­core­standards/ Race to the Top $4 Billion Common Core Competing Principles­ not state led and not just standards http://tinyurl.com/gn95egz US Dept Labor WorkForce Data Quality Individual student tracking via SLDS http://tinyurl.com/pt24mb8 Why Corporations Want our Public Schools http://www.yesmagazine.org/issues/education- uprising/why­corporations­want­our­public­schools Top Ed­Tech Trends of 2015: The Business of Ed­Tech http://hackeducation.com/2015/12/23/trends­business/ Data Badges, Competency Based Ed, Corporate Reform http://educationalchemy.com/2015/10/30/common­core­and­corporate­colonization­the­big- picture/ Global Education Future: 2035 Agenda ­Tom Vander Ark http://tinyurl.com/jsfjt4j Mark Zuckerberg's Personalized Learning and Makin it Rain http://emilytalmage.com/2015/12/06/on­personalized­learning­mark­zuckerberg­and­makin- it­rain/ Google FTC complaint spying on children more than just chrome books https://www.eff.org/deeplinks/2015/12/googles­student­tracking­isnt­limited­chrome­sync Microsoft, others peek at student email. http://tinyurl.com/zpk8xyt Microsoft's Commitment to data privacy questioned http://www.edweek.org/ew/articles/2015/10/14/microsofts­commitment­to­data­privacy- questioned.html A day in the life a data mined kid. Market Place http://www.marketplace.org/topics/education/learningcurve/day­life­data­mined­kid White House Datapalooza­Knewton millions of data points per day- https://www.youtube.com/watch?v=Lr7Z7ysDluQ&feature=youtu.be Grooming students for a lifetime of surveillance https://modelviewculture.com/pieces/grooming­students­for­a­lifetime­of­surveillance Student data collection is out of control http://www.nytimes.com/roomfordebate/2014/09/24/protecting­student­privacy­in­online- learning/student­data­collection­is­out­of­control US Dept of Ed: Promoting Grit, Tenacity, and Perseverance: Critical Factors for Success in the 21st Century ­ page 62 http://tinyurl.com/zqgrcq8 US Dept of Ed: Enhancing Teaching through Data Mining http://tinyurl.com/jggvm6n Page 1 of 2 Page 2 of 2 The end of data poverty: competency based learning ­ data collection­ Tom VanderArk http://gettingsmart.com/2015/05/the­end­of­the­big­test­moving­to­competency­based- policy/ The IMS is partnered with the federal administration's Learning Registry—from K- Workforce (Learning Registry is part of Dept of Defense, funded with race to the top money). Their platform is based on Competency­Based Education and data badges. IMS Global Announces Initiative to Establish Digital Badges as Common Currency for K­20 and Corporate Education http://www.imsglobal.org/pressreleases/pr150421.html Federal CEDS database https://ceds.ed.gov/elements.aspx State SLDS database http://tinyurl.com/j7grk48 for more on Common Core, PARCC, data http://tinyurl.com/jb5d55b for slide show and handouts on data privacy: http://safesoundstudents.wix.com/data Page 2 of 2 1 of 2 Data Corp reform references.rtf Open with
Views: 1073 data data data mine
Data mining: opening students' personal data up to private corporations?
 
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Starting next year, the personal information of New York students will be stored in an online database created by the non-profit organization inBloom. Schools across the country are using the technology to help track students' academic progress and it's largely funded with money from the Bill and Melinda Gates Foundation. However, parents and privacy advocates across the country say that the student's data could be at risk. Kade Crockford, director of the Technology for Liberty program with the American Civil Liberties Union's Massachusetts branch, joins us to discuss if parents should be concerned or not with the emerging practice. Find RT America in your area: http://rt.com/where-to-watch/ Or watch us online: http://rt.com/on-air/rt-america-air/ Like us on Facebook http://www.facebook.com/RTAmerica Follow us on Twitter http://twitter.com/RT_America
Views: 2067 RT America
Student Data Mining with Michelle Malkin | CRTV
 
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🎓 FreedomProject Academy is honored to be featured in the latest episode of 'Michelle Malkin Investigates' on Conservative Review TV, which focuses on student data mining and how families can protect themselves. (This is an excerpt taken from the full episode entitled, "Student Data Mining: Selling Our Kids' Privacy for Profit" @ http://bit.ly/2ovBBmc. All rights reserved to CRTV and Michelle Malkin.) 🌏 WEBSITE: https://www.fpeusa.org/ ✅ SUBSCRIBE to our YouTube Channel: http://bit.ly/2oexOOj 👍 LIKE our Facebook Page: http://bit.ly/2nOxdze 👉 FOLLOW us on Twitter: http://bit.ly/2oC93Ij 🇺🇸 SUBSCRIBE to our Weekly Email: http://eepurl.com/cLro6n
Views: 2167 FreedomProject Media
Keynote “Educational Data Science” by Cristóbal Romero @ LASI Spain 2016
 
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Keynote “Educational Data Science” by Cristóbal Romero. LASI Spain 2016. The “LASI Spain 2016” (Learning Analytics Summer Institute) International workshop was organized by the University of Deusto (UD) with the collaboration of SNOLA (Spanish Network of Learning Analytics) on June 27th to 28th at the campus of Bilbao http://lasi16.snola.es
Data Mining College Students
 
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A university police Lieutenant wrote an article in the Chronicle for Higher Education arguing that we should begin collecting massive amounts of personal data of college students. Ana Kasparian and Jayar Jackson discuss on TYT University. https://chronicle.com/article/Mining-Student-Data-Could-Save/129231/
Views: 8324 ThinkTank
Statistical Aspects of Data Mining (Stats 202) Day 2
 
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Google Tech Talks June 29, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
Views: 60342 GoogleTechTalks
LASI14 Workshop: Introduction to Data Mining for Educational Researchers pt2 June 30, 2014
 
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Learning Analytics Summer Institute (LASI 2014) June 30, 2014 Workshop: Introduction to Data Mining for Educational Researchers, pt2 Christopher Brooks (University of Michigan), Zach Pardos (UC Berkeley), Vitomir Kovanovic (Simon Fraser University), Srecko Joksimovic (Simon Fraser University) http://solaresearch.org/conferences/lasi/lasi2014/lasi-2014-program-monday/ https://sites.google.com/a/umich.edu/lak-2014-tutorial-introduction-to-data-mining-for-educational-researchers/lasi-2014
Tubes - Educational Data Mining
 
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Views: 194 Desepta Isna Ulumi
INTRODUCTION TO DATA MINING IN HINDI
 
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Buy Software engineering books(affiliate): Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2whY4Ke Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2wfEONg Software Engineering: A Practitioner's Approach (India) by McGraw-Hill Higher Education https://amzn.to/2PHiLqY Software Engineering by Pearson Education https://amzn.to/2wi2v7T Software Engineering: Principles and Practices by Oxford https://amzn.to/2PHiUL2 ------------------------------- find relevant notes at-https://viden.io/
Views: 101780 LearnEveryone
Statistical Aspects of Data Mining (Stats 202) Day 11
 
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Google Tech Talks August 3, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
Views: 15479 GoogleTechTalks
Hit & Miss: Student security and data mining
 
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Watch the full episode here: http://bit.ly/1lc6R3u Following the European Court's declaration that data mining is invalid, we look at the hits & misses of online privacy. Google, facing legal action for using student emails for targeted advertising, announced it is removing ad scanning from education apps. Meanwhile, Yahoo has removed the 'Do Not Track' option on their service, leading to fears users will be unable to stop targeted third party advertising, and governments possibly using it as a back door to carry on data mining. LIKE Going Underground http://fb.me/GoingUndergroundRT FOLLOW Going Underground http://twitter.com/Underground_RT FOLLOW Afshin Rattansi http://twitter.com/AfshinRattansi FOLLOW on Instagram http://instagram.com/officialgoingundergroundrt
Views: 114 goingundergroundRT
Statistical Aspects of Data Mining (Stats 202) Day 4
 
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Google Tech Talks July 6, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Google engEDU Speaker: David Mease
Views: 542 GoogleTalksArchive
Statistical Aspects of Data Mining (Stats 202) Day 10
 
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Google Tech Talks July 31, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Google engEDU Speaker: David Mease
Views: 817 GoogleTalksArchive
Statistical Aspects of Data Mining (Stats 202) Day 8
 
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Google Tech Talks July 20, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Google engEDU Speaker: David Mease
Views: 422 GoogleTalksArchive

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