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Search results “Data mining background knowledge lessons”

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Views: 28896 Data Science Dojo

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Complete set of Video Lessons and Notes available only at http://www.studyyaar.com/index.php/module/20-data-warehousing-and-mining Data Mining, Classification, Clustering, Association Rules, Sequential Pattern Discovery, Regression, Deviation http://www.studyyaar.com/index.php/module-video/watch/53-data-mining
Views: 85823 StudyYaar.com

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Views: 419034 edureka!

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Views: 393629 CrashCourse

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Computer Education for all provides complete lectures series on Data Structure and Applications which covers Introduction to Data Structure and its Types including all Steps involves in Data Structures:- Data Structure and algorithm Linear Data Structures and Non-Linear Data Structure on Stack Data Structure on Arrays Data Structure on Queue Data Structure on Linked List Data Structure on Tree Data Structure on Graphs Abstract Data Types Introduction to Algorithms Classifications of Algorithms Algorithm Analysis Algorithm Growth Function Array Operations Two dimensional Arrays Three Dimensional Arrays Multidimensional arrays Matrix operations Operations on linked lists Applications of linked lists Doubly linked lists Introductions to stacks Operations on stack Array based implementation of stack Queue Data Structures Operations on Queues Linked list based implementation of queues Application of Trees Binary Trees Types of Binary Trees Implementation of Binary Trees Binary Tree Traversal Preorder Post order In order Binary Search Tree Introduction to Sorting Analysis of Sorting Algorithms Bubble Sort Selection Sort Insertion Sort Shell Sort Heap Sort Merge Sort Quick Sort Applications of Graphs Matrix representation of Graphs Implementations of Graphs Breadth First Search Topological Sorting Subscribe for More https://www.youtube.com/channel/UCiV37YIYars6msmIQXopIeQ Find us on Facebook: https://web.facebook.com/Computer-Education-for-All-1484033978567298 Java Programming Complete Tutorial for Beginners to Advance | Complete Java Training for all https://youtu.be/gg2PG3TwLx4

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Al Chen (https://twitter.com/bigal123) is an Excel aficionado. Watch as he shows you how to clean up raw data for processing in Excel. This is also a great resource for data visualization projects. Subscribe to Skillshare’s Youtube Channel: http://skl.sh/yt-subscribe Check out all of Skillshare’s classes: http://skl.sh/youtube Like Skillshare on Facebook: https://www.facebook.com/skillshare Follow Skillshare on Twitter: https://twitter.com/skillshare Follow Skillshare on Instagram: http://instagram.com/Skillshare
Views: 77056 Skillshare

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An ROC curve is the most commonly used way to visualize the performance of a binary classifier, and AUC is (arguably) the best way to summarize its performance in a single number. As such, gaining a deep understanding of ROC curves and AUC is beneficial for data scientists, machine learning practitioners, and medical researchers (among others). SUBSCRIBE to learn data science with Python: https://www.youtube.com/dataschool?sub_confirmation=1 JOIN the "Data School Insiders" community and receive exclusive rewards: https://www.patreon.com/dataschool RESOURCES: - Transcript and screenshots: https://www.dataschool.io/roc-curves-and-auc-explained/ - Visualization: http://www.navan.name/roc/ - Research paper: http://people.inf.elte.hu/kiss/13dwhdm/roc.pdf LET'S CONNECT! - Newsletter: https://www.dataschool.io/subscribe/ - Twitter: https://twitter.com/justmarkham - Facebook: https://www.facebook.com/DataScienceSchool/ - LinkedIn: https://www.linkedin.com/in/justmarkham/
Views: 279072 Data School

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Cryptonomos will hold a token sale for Neuromation that is creating a distributed platform of synthetic data ecosystem. The enormous computing capacity that will become available on the platform will be game-changing for wide AI adoption by the Enterprise. Neuromation is creating a platform to allow users to create dataset generators, generate massive datasets, train deep learning models. Users will also be able to trade datasets and models in the platform marketplace. Neuromation engages crypto-currency miners in computationally intensive tasks of data generation and model training. By performing these tasks they will be mining Neuromation Tokens. Tokens for the Neuromation platform are already available for purchase on pre-sale via Cryptonomos. Buy tokens: https://neuromation.cryptonomos.com Telegram RU: https://t.me/icocryptonomosrus Telegram EN: https://t.me/Cryptonomos_ICOs
Views: 3186 Cryptonomos Platform

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Data mining is a new powerful technology which is of high interest in computer world. It is a sub field of computer science that uses already existing data in different databases to transform it into new researches and results.
Views: 228 Custom-Soft

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Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 1: Introduction http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/IGzlrn https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 121904 WekaMOOC

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Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 3: Exploring datasets http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/IGzlrn https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 77836 WekaMOOC

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What is a blockchain and how do they work? I'll explain why blockchains are so special in simple and plain English! 💰 Want to buy Bitcoin or Ethereum? Buy for \$100 and get \$10 free (through my affiliate link): https://www.coinbase.com/join/59284524822a3d0b19e11134 📚 Sources can be found on my website: https://www.savjee.be/videos/simply-explained/how-does-a-blockchain-work/ 🐦 Follow me on Twitter: https://twitter.com/savjee ✏️ Check out my blog: https://www.savjee.be ✉️ Subscribe to newsletter: https://goo.gl/nueDfz 👍🏻 Like my Facebook page: https://www.facebook.com/savjee
Views: 2535839 Simply Explained - Savjee

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http://www.atozsky.com/ https://www.facebook.com/atozsky.computer/ All credits goes to NIELIT, Delhi INDIA
Views: 422 AtoZ COMPUTER

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Views: 16077 edureka!

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Views: 299173 edureka!

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A short introduction to how Bitcoin Works. Want more? Check out my new in-depth course on the latest in Bitcoin, Blockchain, and a survey of the most exciting projects coming out (Ethereum, etc): https://app.pluralsight.com/library/courses/bitcoin-decentralized-technology Lots of demos on how to buy, send, store (hardware, paper wallet). how to use javascript to send bitcoin. How to create Ethereum Smart Contract, much more. Written Version: http://www.imponderablethings.com/2014/04/how-bitcoin-works-in-5-minutes.html Less technical version: https://www.youtube.com/watch?v=t5JGQXCTe3c Donation address: 1K7A6wsyxj6fThtMYcNu6X8bLbnNKovgtP Germain caption translation provided by adi331 : 19s6rqRfHa19w7wcgwtCumPs1vdLDj1VVo (thanks!!)
Views: 5643327 CuriousInventor

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Pattern Recognition by Prof. C.A. Murthy & Prof. Sukhendu Das,Department of Computer Science and Engineering,IIT Madras.For more details on NPTEL visit http://nptel.ac.in
Views: 20343 nptelhrd

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JS-Reduce: Defending Your Data from Sequential Background Knowledge Attacks - IEEE 2012 Projects More Details: Visit http://clickmyproject.com/index.php?main_page=product_info&cPath=1_37&products_id=97 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:+91 967-778-1155 Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us : [email protected]
Views: 442 Clickmyproject

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Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 3: Data mining and ethics http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/5DW24X https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 10850 WekaMOOC

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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

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Heyy guys here is some information on Data Warehousing and Data Mining! ========================= Background Song: Disfigure - Blank [NCS Release] Song Artist: No Copyright Sounds
Views: 522 Brandon The Crab

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Views: 2696 Galit Shmueli

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For more information, log on to- http://shomusbiology.weebly.com/ Download the study materials here- http://shomusbiology.weebly.com/bio-materials.html Bioinformatics Listeni/ˌbaɪ.oʊˌɪnfərˈmætɪks/ is an interdisciplinary field that develops and improves on methods for storing, retrieving, organizing and analyzing biological data. A major activity in bioinformatics is to develop software tools to generate useful biological knowledge. Bioinformatics uses many areas of computer science, mathematics and engineering to process biological data. Complex machines are used to read in biological data at a much faster rate than before. Databases and information systems are used to store and organize biological data. Analyzing biological data may involve algorithms in artificial intelligence, soft computing, data mining, image processing, and simulation. The algorithms in turn depend on theoretical foundations such as discrete mathematics, control theory, system theory, information theory, and statistics. Commonly used software tools and technologies in the field include Java, C#, XML, Perl, C, C++, Python, R, SQL, CUDA, MATLAB, and spreadsheet applications.[1][2][3] Source of the article published in description is Wikipedia. I am sharing their material. Copyright by original content developers of Wikipedia. Link- http://en.wikipedia.org/wiki/Main_Page
Views: 213235 Shomu's Biology

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What if you could harness technology and information more effectively to catapult your business? This video explores how businesses are using the latest tools to advance from data aggregation to digital transformation. The goal? Turning data into knowledge. Enjoy this video from CCC. And if you’d like to learn more about ways to harness enterprise data science to accelerate product time-to-market, and make smarter business decisions, visit www.copyright.com/data to access a new white paper Enterprise Data Science: Transition from the Era of Big Data to the Knowledge Era. Winner of a Silver Telly Award in the category Branded Content: Directing. http://www.tellyawards.com/winners/2018/branded-content/craft-directing Winner of a Bronze Telly Award in the category Branded Content: Use of graphics. http://www.tellyawards.com/winners/2018/branded-content/craft-use-of-graphic

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This course introduces important database concepts, including data modeling, database design, and data extraction. Students will also learn data analysis skills they need to transform raw data into useful business information and knowledge for decision-making and problem solving. Students explore relational design, data warehousing, data mining, data visualization, data search, knowledge management, business intelligence, data querying, basic analytics, and reporting.
Views: 770 [email protected]

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Decision Tree (CART) - Machine Learning Fun and Easy ►FREE YOLO GIFT - http://augmentedstartups.info/yolofreegiftsp ►KERAS Course - https://www.udemy.com/machine-learning-fun-and-easy-using-python-and-keras/?couponCode=YOUTUBE_ML Decision tree is a type of supervised learning algorithm (having a pre-defined target variable) that is mostly used in classification problems. A tree has many analogies in real life, and turns out that it has influenced a wide area of machine learning, covering both classification and regression (CART). So a decision tree is a flow-chart-like structure, where each internal node denotes a test on an attribute, each branch represents the outcome of a test, and each leaf (or terminal) node holds a class label. The topmost node in a tree is the root node. ------------------------------------------------------------ Support us on Patreon ►AugmentedStartups.info/Patreon Chat to us on Discord ►AugmentedStartups.info/discord Interact with us on Facebook ►AugmentedStartups.info/Facebook Check my latest work on Instagram ►AugmentedStartups.info/instagram Learn Advanced Tutorials on Udemy ►AugmentedStartups.info/udemy ------------------------------------------------------------ To learn more on Artificial Intelligence, Augmented Reality IoT, Deep Learning FPGAs, Arduinos, PCB Design and Image Processing then check out http://augmentedstartups.info/home Please Like and Subscribe for more videos :)
Views: 115569 Augmented Startups

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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: 106639 LearnEveryone

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Views: 37695 edureka!

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Views: 188876 Quality HUB India

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Views: 34 Health Care

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In this introduction to text mining with Voyant I cover: 1) Data cleaning (text editors, Notepad++ and Sublime Text) 2) Loading your text into Voyant 3) Expectations, what Voyant can and cannot do 4) Working with common visualization tools and making possible connections 5) Exporting visualizations

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Views: 2063 edureka!

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Views: 6403 ryan urbanowicz

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Views: 30145 edureka!

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Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 5: Using a filter http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/IGzlrn https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 65385 WekaMOOC

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Views: 3510550 3Blue1Brown

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Types of E-Commerce : https://youtu.be/m7x6zYEBYEM What is EDI in eCommerce ?: https://youtu.be/zN237-EpFQI ------------------------------------------------------------------------- What is E-Commerce in Hindi what is ecommerce meaning in hindi ecommerce explained e commerce means in hindi ecommerce means introduction to ecommerce in hindi ecommerce theory -------------------------------------------------------------- This is my Blog: http://mystudymafia.blogspot.in/2018/02/e-commerce-stands-for-electronic.html
Views: 150744 STUDY Mafia

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Views: 1486840 easytuts4you

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Talk by John W. Chapman (OCLC, Inc.). Title: Person Entities: Lessons learned by a data provider Abstract: Continuing the longstanding research program by OCLC in the field of linked data, recent projects have focused on creating sets of entities of high interest for any organization wanting to utilize linked data paradigms. Through intensive mining and clustering of WorldCat bibliographic data, name and subject authority files, and other related data sets, OCLC has produced over 300 million entity representations. These clusters pull together and represent creative works, and persons related to those works. OCLC has engaged with a number of libraries and organizations to create and experiment with this data. A pilot project during October 2015-February 2016 to explore new methods of providing access to Person entities provided a number of new directions and insights. The core purpose of the work is to understand how these entities might best be leveraged to make library workflows more efficient, and to improve the quality of metadata produced in the library sector. This presentation will provide a background on data used in the project, as well as the development of services and APIs to provision the data. It will address challenges and opportunities in the area of creating and managing entities, and ways in which they could be improved and enriched over time. SWIB16 Conference, 28 - 30 November 2016, Bonn, Germany http://swib.org/swib16/ #swib16 Licence: CC-BY-SA https://creativecommons.org/licenses/by-sa/3.0/
Views: 65 SWIB

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Views: 162389 AccoFina

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We describe the DIKW pipeline for the analysis of this type of physics experiment and go through details of analysis pipeline for the LHC ATLAS experiment. We give examples of event displays showing the final state particles seen in a few events. We illustrate how physicists decide whats going on with a plot of expected Higgs production experimental cross sections (probabilities) for signal and background.

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Visit www.Cyberc.org and submit your research paper to attend this great event. CyberC (International Conference on Cyber-enabled distributed computing and knowledge discovery) is an international conference on cyber-enabled technology. It covers cyber-networks, data mining, cyber security, distributed computing, mobile computing, cognitive computing, cloud computing, computing tools, applications, and system performance. CyberC offers a forum for presentation and discussion of innovative ideas, research results, applications, and experience for network-enabled distributed computing and knowledge discovery technologies. This video is an interview and the background information is below. Dr. Chih-Lin I , Chief Scientist, Wireless Technologies, China Mobile Research Institute Chih-Lin I received her Ph.D. degree in electrical engineering from Stanford University. She has been working at multiple world-class companies and research institutes leading the R&D, including AT&T Bell Labs; Director of AT&T HQ, Director of ITRI Taiwan, and VPGD of ASTRI Hong Kong. She received the IEEE Trans. COM Stephen Rice Best Paper Award, is a winner of the CCCP National 1000 Talent Program, and has won the 2015 Industrial Innovation Award of IEEE Communication Society for Leadership and Innovation in Next-Generation Cellular Wireless Networks. In 2011, she joined China Mobile as its Chief Scientist of wireless technologies, established the Green Communications Research Center, and launched the 5G Key Technologies R&D. She is spearheading major initiatives including 5G, C-RAN, high energy efficiency system architectures, technologies and devices; and green energy. Keynote Topic in CyberC 2017: SDN/NFV via SBA&CUDU Abstract: From Green to Soft, the revolutionary path towards future 5G has been charted out. Since its proposal in 2012, SDN/NFV has been viewed as an essential element towards this end. In this talk, we will share CMCC’s endeavor on the path towards SOFT 5G. In particular, it will be presented how the philosophy of SDN/NFV has been adopted and implemented in our networks, from SBA-based cthe ore network to CU-DU-based radio access networks. In fact, C-RAN, which has been proposed by CMCC in 2009, has conceived the NFV idea since its birth. The achievements at the earlier stage will be introduced, including the deployment of centralization, trials on CoMP, some pioneering work on RAN virtualization. Then, the latest progress on RAN cloudification/virtualization will be detailed from various perspectives such as hypervisor, HW platform and MANO systems. Finally other key 5G components such as big data analytics, mobile edge computing etc. will also be touched. Anup Kumar, PhD, Professor, University of Louisville, Kentucky, USA Anup Kumar completed his Ph.D. from North Carolina State University and is currently a Professor of CECS Department at the University of Louisville. He is also the Director of Mobile Information Network and Distributed Systems (MINDS) Lab. His research interests include web services, wireless networks, distributed system modeling, and simulation. He has co-edited a book titled, “Handbook of Mobile Systems: Applications ands Services” published by CRC press in 2012. He is a Senior Member of IEEE. Topic: Access Control Security – Why and How Access Control Policies are Tested and Verified? Abstract: SDN/NFV, cloud, and many other online systems relies Access control (AC) to protect the secret financial, enterprise, organization, healthcare, defense, and various IT resources/services. In order to protect the classified resources, the security specialist needs to compose a set of AC policies (e.g., in XACML policies) to prevent unintended access. However, the current AC policies are composed and deployed into an AC system without comprehensive security tests and verifications. This results in many AC flaws (e.g., information or service leaks) in the systems and these AC flaws are normally hidden from us until observable damages (e.g., secret data leakage) are caused. This paves the way for cybersecurity hackers or insiders to steal the IT assets by exploring the access control weakness. Recently NIST has released several specifications in order to help government and enterprises to enhance the nation's critical access control security, such as NIST SP 800-192: Verification and Test Methods for Access Control Policies/Models. As stated by NIST, many of the access control incidents (e.g., data breaches, insiders) are caused by misconfigured access control policies. In this talk, we will explore the state-of-art access control policy testing and verification approaches. Examples are (i) Access Control Polity Tool and (ii) Security Policy Tool, which respectively delivers a solution for testing, analyzing, inspecting, and correcting the access control flaws. Primary information can be found at http://csrc.nist.gov/groups/SNS/acpt/acpt-beta.html and https://securitypolicytool.com .

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Views: 2634738 SciShow

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To unleash the potential of all learners, we need to start looking at what people can do, not just what they can say. "Many of The cognitive differences of neurodiverse students (learners with Autism, ADD, Dyslexia and other cognitive functions that make school difficult) may also empower them with creativity, resilience, and innovative approaches to problem-solving. -Our education system struggles to measure and support these different ways of thinking, denying diverse learners their optimal learning opportunities and robbing Our future workforce of The talent and ingenuity that diverse learners offer. -digital environments—including games, augmented, virtual and mixed reality—offer new ways to measure learners’ implicit knowledge, not relying on a test. games have The “stickiness” that motivate diverse learners to drill deeper, pursue new challenges, and persist to solve problems. -digital environments generate data logs and educational data mining models---algorithms that identify common patterns of behavior to see where each learner struggles and succeeds in a digital experience--- can inform teachers and designers How to customize learning experience for each and every learner." Dr. Jodi Asbell-Clarke is the co-founder and co-director of the Educational Gaming Environments Group (EdGE) at TERC. TERC is a non-profit research and development organization focusing on innovative, technology-based STEM education. Jodi and the EdGE team of game designers, educators, and researchers study implicit STEM learning in digital games to transform science education. A believer in Seymore Papert’s term ‘hard fun’, EdGE applies it to education by designing challenging free-choice STEM learning games that are within the grasp of the player motivating them to keep playing and learn advanced science content in their free time. EdGE researchers also use educational data mining to measure implicit learning in games, and work with educators to understand how it can be leveraged to measure classroom learning of related STEM content. EdGE is currently researching how AR and VR can enhance learning, especially for learners with particular skills and challenges, such as ADHD and autism. Before joining TERC, Jodi dreamed of being an astronaut and went to Houston where she was an onboard software verification analyst for IBM during the first 25 space shuttle missions. She also taught Physics and Astrophysics to some of the brightest students in the country at the laboratory school at University of Illinois. Jodi’s academic background includes an MA in Math, an MSc in Astrophysics, and a PhD in Education. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Views: 1469 TEDx Talks

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Views: 849877 caltech

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