Enviar búsqueda
Cargar
Learning Analytics Medea Webinar, part 1
•
Descargar como PPTX, PDF
•
0 recomendaciones
•
1,413 vistas
E
erikwoning
Seguir
Learning Analytics Webinar Presentation: Introduction to Big Data and Learning Analytics
Leer menos
Leer más
Educación
Tecnología
Denunciar
Compartir
Denunciar
Compartir
1 de 54
Descargar ahora
Recomendados
complete explaintion of big data
big data
big data
sai praneeth
A presentation from Roeland Beerten (Director of Policy and Public Affairs at the Royal Statistical Society) as part of the Young Policy Professionals event, ‘Public policy in the “big data” age’, held on 9 March 2016 at the National Audit Office, London.
Public policy in the ‘big data’ age: Roeland Beerten presentation
Public policy in the ‘big data’ age: Roeland Beerten presentation
YoungPolicyProfessionals
A presentation from Gavin Freeguard (senior researcher at the Institute for Government) opening the Young Policy Professionals event, ‘Public policy in the “big data” age’, held on 9 March 2016 at the National Audit Office, London.
Public policy in the ‘big data’ age: Gavin Freeguard introduction
Public policy in the ‘big data’ age: Gavin Freeguard introduction
YoungPolicyProfessionals
Angela Raab + James Rembert
Tech Tools That Will Change How You Prospect for Listings
Tech Tools That Will Change How You Prospect for Listings
Inman News
presentation on Davenports article on "competing on Analytics"
Big Data Competing on analytics - devenport
Big Data Competing on analytics - devenport
Bhargav Mehta
An introductory slide for people who are just getting into the field of Data Science to gain the understanding of why data science is important and how data scientist fits in the loop of the importance of Data Science to the industry
Data science a glance
Data science a glance
Adekunle Babatunde Anthony
Pinot is a realtime distributed OLAP datastore, which is used at LinkedIn to deliver scalable real time analytics with low latency. It can ingest data from offline data sources (such as Apache Hadoop and flat files) as well as online sources (such as Apache Kafka). Pinot is designed to scale horizontally.
The journey towards pinot
The journey towards pinot
Ananth PackkilDurai
Modern marketing without extensive use of data and analytics would be unthinkable. But what’s really working and what’s hype?
Data at work – Best Brands 2017, SUPERCRUNCH by GfK
Data at work – Best Brands 2017, SUPERCRUNCH by GfK
GfK
Recomendados
complete explaintion of big data
big data
big data
sai praneeth
A presentation from Roeland Beerten (Director of Policy and Public Affairs at the Royal Statistical Society) as part of the Young Policy Professionals event, ‘Public policy in the “big data” age’, held on 9 March 2016 at the National Audit Office, London.
Public policy in the ‘big data’ age: Roeland Beerten presentation
Public policy in the ‘big data’ age: Roeland Beerten presentation
YoungPolicyProfessionals
A presentation from Gavin Freeguard (senior researcher at the Institute for Government) opening the Young Policy Professionals event, ‘Public policy in the “big data” age’, held on 9 March 2016 at the National Audit Office, London.
Public policy in the ‘big data’ age: Gavin Freeguard introduction
Public policy in the ‘big data’ age: Gavin Freeguard introduction
YoungPolicyProfessionals
Angela Raab + James Rembert
Tech Tools That Will Change How You Prospect for Listings
Tech Tools That Will Change How You Prospect for Listings
Inman News
presentation on Davenports article on "competing on Analytics"
Big Data Competing on analytics - devenport
Big Data Competing on analytics - devenport
Bhargav Mehta
An introductory slide for people who are just getting into the field of Data Science to gain the understanding of why data science is important and how data scientist fits in the loop of the importance of Data Science to the industry
Data science a glance
Data science a glance
Adekunle Babatunde Anthony
Pinot is a realtime distributed OLAP datastore, which is used at LinkedIn to deliver scalable real time analytics with low latency. It can ingest data from offline data sources (such as Apache Hadoop and flat files) as well as online sources (such as Apache Kafka). Pinot is designed to scale horizontally.
The journey towards pinot
The journey towards pinot
Ananth PackkilDurai
Modern marketing without extensive use of data and analytics would be unthinkable. But what’s really working and what’s hype?
Data at work – Best Brands 2017, SUPERCRUNCH by GfK
Data at work – Best Brands 2017, SUPERCRUNCH by GfK
GfK
MEDEAnet webinar Big Data & Learning Analytics Resources
MEDEAnet webinar Big Data & Learning Analytics Resources
MEDEA Awards
Understanding the difference between analytics can help marketers and managers decipher their data faster and more effectively. pocketsquaremedia.co
4 Big Analytic Types That You Should Know By Wayne Chen
4 Big Analytic Types That You Should Know By Wayne Chen
Wayne Chen
"Big Data" is big business, but what does it really mean? How will big data impact industries and consumers? This slide deck goes through some of the high level details of the market and how it is revolutionizing the world.
Big Data Analytics - Introduction
Big Data Analytics - Introduction
Alex Meadows
Brummelhuis Ab Sweden Febr3
Brummelhuis Ab Sweden Febr3
guest0f2c98
Kennisnet Engels Mrt 2009frans
Kennisnet Engels Mrt 2009frans
Kennisnet
Privacy by design Kennisnet OEB
How to give students control of their data
How to give students control of their data
Erwin Bomas
Leren innoveren kentalis
Leren innoveren kentalis
Kennisnet
Innoveren, waarom, wat en hoe.
Leren innoveren comperio
Leren innoveren comperio
Kennisnet
Leren innoveren Innovatiebijeenkomst 8 okt 2013_Erwin Bomas
Leren innoveren Innovatiebijeenkomst 8 okt 2013_Erwin Bomas
Kennisnet
Presented at Bett 2016, members of the learning analytics community exchange (LACE) project presented insights into aspects schools should think about when using digital learning materials and tools that have LA capabilities.
Bett 2016 - Implementing learning analytics in your school
Bett 2016 - Implementing learning analytics in your school
Wietse van Bruggen
Presentation about the use of standards in the Netherlands. (education)
Presentation dutch standards
Presentation dutch standards
H-P Köhler
How to apply Continuous Integration practices with Business Intelligence and Analytics practices
Continuous integration with business intelligence and analytics
Continuous integration with business intelligence and analytics
Alex Meadows
Learning Analytics Webinar Presentation: Introduction to Big Data and Learning Analytics
Learning Analytics Medea Webinar, part 2
Learning Analytics Medea Webinar, part 2
erikwoning
Leren innoveren masterclass iselinge 15 mei slides
Leren innoveren masterclass iselinge 15 mei slides
Kennisnet Innovatie
Introduction to Big Data & Analytics
Introduction to Big Data & Analytics
Introduction to Big Data & Analytics
Prasad Chitta
Privacy by design mock up kennisnet sxsw
Privacy by design mock up kennisnet sxsw
Kennisnet
Presentation at the Apereo Africa cConference, 10 March 2016, Burgerspark Hotel, Pretoria, South Africa
Learning analytics and Big Data: A tentative exploration
Learning analytics and Big Data: A tentative exploration
University of South Africa (Unisa)
Introduction to Big Data Analytics and Data Science Komes Chandavimol
Introduction to Big Data Analytics and Data Science
Introduction to Big Data Analytics and Data Science
Data Science Thailand
This slides present concept of Data Mining and Big Data Analytics.
Introduction to Data Mining and Big Data Analytics
Introduction to Data Mining and Big Data Analytics
Big Data Engineering, Faculty of Engineering, Dhurakij Pundit University
This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications. Vijay Adamapure is a Data Science Enthusiast with extensive experience in the field of data mining, predictive modeling and machine learning. He has worked on numerous analytics projects ranging from healthcare, business analytics, renewable energy to IoT. Vijay presented these slides during the Internet of Everything Meetup event 'Predictive Analytics - An Overview' that took place on Jan. 9, 2015 in Mumbai. To join the Meetup group, register here: http://bit.ly/1A7T0A1
Predictive Analytics - An Overview
Predictive Analytics - An Overview
MachinePulse
GraphConnect Europe 2017 Emil Eifrem, Neo4j
Emil Eifrem Keynote - GraphConnect Europe 2017
Emil Eifrem Keynote - GraphConnect Europe 2017
Neo4j
Klarity is a robust and comprehensive dashboard-styled platform providing metrics and analytics extracted from social media "big data" for marketers and entreprises. The proprietary engine developed by Social Media Broadcasts crawls influencer networks such as Facebook, Google+, Instagram, Pinterest, Twitter, Youtube, Sina Weibo and Tencent Weibo, collecting granular data and translating the information into meaningful insights allowing users to monitor social activity, measure performance and gather social intelligence.
Klarity - Asia digital analytic summit
Klarity - Asia digital analytic summit
NDN Group
Más contenido relacionado
Destacado
MEDEAnet webinar Big Data & Learning Analytics Resources
MEDEAnet webinar Big Data & Learning Analytics Resources
MEDEA Awards
Understanding the difference between analytics can help marketers and managers decipher their data faster and more effectively. pocketsquaremedia.co
4 Big Analytic Types That You Should Know By Wayne Chen
4 Big Analytic Types That You Should Know By Wayne Chen
Wayne Chen
"Big Data" is big business, but what does it really mean? How will big data impact industries and consumers? This slide deck goes through some of the high level details of the market and how it is revolutionizing the world.
Big Data Analytics - Introduction
Big Data Analytics - Introduction
Alex Meadows
Brummelhuis Ab Sweden Febr3
Brummelhuis Ab Sweden Febr3
guest0f2c98
Kennisnet Engels Mrt 2009frans
Kennisnet Engels Mrt 2009frans
Kennisnet
Privacy by design Kennisnet OEB
How to give students control of their data
How to give students control of their data
Erwin Bomas
Leren innoveren kentalis
Leren innoveren kentalis
Kennisnet
Innoveren, waarom, wat en hoe.
Leren innoveren comperio
Leren innoveren comperio
Kennisnet
Leren innoveren Innovatiebijeenkomst 8 okt 2013_Erwin Bomas
Leren innoveren Innovatiebijeenkomst 8 okt 2013_Erwin Bomas
Kennisnet
Presented at Bett 2016, members of the learning analytics community exchange (LACE) project presented insights into aspects schools should think about when using digital learning materials and tools that have LA capabilities.
Bett 2016 - Implementing learning analytics in your school
Bett 2016 - Implementing learning analytics in your school
Wietse van Bruggen
Presentation about the use of standards in the Netherlands. (education)
Presentation dutch standards
Presentation dutch standards
H-P Köhler
How to apply Continuous Integration practices with Business Intelligence and Analytics practices
Continuous integration with business intelligence and analytics
Continuous integration with business intelligence and analytics
Alex Meadows
Learning Analytics Webinar Presentation: Introduction to Big Data and Learning Analytics
Learning Analytics Medea Webinar, part 2
Learning Analytics Medea Webinar, part 2
erikwoning
Leren innoveren masterclass iselinge 15 mei slides
Leren innoveren masterclass iselinge 15 mei slides
Kennisnet Innovatie
Introduction to Big Data & Analytics
Introduction to Big Data & Analytics
Introduction to Big Data & Analytics
Prasad Chitta
Privacy by design mock up kennisnet sxsw
Privacy by design mock up kennisnet sxsw
Kennisnet
Presentation at the Apereo Africa cConference, 10 March 2016, Burgerspark Hotel, Pretoria, South Africa
Learning analytics and Big Data: A tentative exploration
Learning analytics and Big Data: A tentative exploration
University of South Africa (Unisa)
Introduction to Big Data Analytics and Data Science Komes Chandavimol
Introduction to Big Data Analytics and Data Science
Introduction to Big Data Analytics and Data Science
Data Science Thailand
This slides present concept of Data Mining and Big Data Analytics.
Introduction to Data Mining and Big Data Analytics
Introduction to Data Mining and Big Data Analytics
Big Data Engineering, Faculty of Engineering, Dhurakij Pundit University
This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications. Vijay Adamapure is a Data Science Enthusiast with extensive experience in the field of data mining, predictive modeling and machine learning. He has worked on numerous analytics projects ranging from healthcare, business analytics, renewable energy to IoT. Vijay presented these slides during the Internet of Everything Meetup event 'Predictive Analytics - An Overview' that took place on Jan. 9, 2015 in Mumbai. To join the Meetup group, register here: http://bit.ly/1A7T0A1
Predictive Analytics - An Overview
Predictive Analytics - An Overview
MachinePulse
Destacado
(20)
MEDEAnet webinar Big Data & Learning Analytics Resources
MEDEAnet webinar Big Data & Learning Analytics Resources
4 Big Analytic Types That You Should Know By Wayne Chen
4 Big Analytic Types That You Should Know By Wayne Chen
Big Data Analytics - Introduction
Big Data Analytics - Introduction
Brummelhuis Ab Sweden Febr3
Brummelhuis Ab Sweden Febr3
Kennisnet Engels Mrt 2009frans
Kennisnet Engels Mrt 2009frans
How to give students control of their data
How to give students control of their data
Leren innoveren kentalis
Leren innoveren kentalis
Leren innoveren comperio
Leren innoveren comperio
Leren innoveren Innovatiebijeenkomst 8 okt 2013_Erwin Bomas
Leren innoveren Innovatiebijeenkomst 8 okt 2013_Erwin Bomas
Bett 2016 - Implementing learning analytics in your school
Bett 2016 - Implementing learning analytics in your school
Presentation dutch standards
Presentation dutch standards
Continuous integration with business intelligence and analytics
Continuous integration with business intelligence and analytics
Learning Analytics Medea Webinar, part 2
Learning Analytics Medea Webinar, part 2
Leren innoveren masterclass iselinge 15 mei slides
Leren innoveren masterclass iselinge 15 mei slides
Introduction to Big Data & Analytics
Introduction to Big Data & Analytics
Privacy by design mock up kennisnet sxsw
Privacy by design mock up kennisnet sxsw
Learning analytics and Big Data: A tentative exploration
Learning analytics and Big Data: A tentative exploration
Introduction to Big Data Analytics and Data Science
Introduction to Big Data Analytics and Data Science
Introduction to Data Mining and Big Data Analytics
Introduction to Data Mining and Big Data Analytics
Predictive Analytics - An Overview
Predictive Analytics - An Overview
Similar a Learning Analytics Medea Webinar, part 1
GraphConnect Europe 2017 Emil Eifrem, Neo4j
Emil Eifrem Keynote - GraphConnect Europe 2017
Emil Eifrem Keynote - GraphConnect Europe 2017
Neo4j
Klarity is a robust and comprehensive dashboard-styled platform providing metrics and analytics extracted from social media "big data" for marketers and entreprises. The proprietary engine developed by Social Media Broadcasts crawls influencer networks such as Facebook, Google+, Instagram, Pinterest, Twitter, Youtube, Sina Weibo and Tencent Weibo, collecting granular data and translating the information into meaningful insights allowing users to monitor social activity, measure performance and gather social intelligence.
Klarity - Asia digital analytic summit
Klarity - Asia digital analytic summit
NDN Group
Webinar slides from webinar with Crimson Hexagon. Topics covered were social listening, audience intelligence, paid social, influencer marketing and media relations.
Audience Intelligence: Using Social Data to Inform Content, Paid Media and In...
Audience Intelligence: Using Social Data to Inform Content, Paid Media and In...
Michael Brito | Zeno Group
BIG DATA & ANALYTICS FOR BANKING SUMMIT, New York, 1 Dec 2015. Keynote address: "How Predictive Analytics will change the Financial Services Sector” Speaker : Lars Hamberg http://www.specialistspeakers.com/?p=8367 Overview & Outlook: Why Big Data will over-deliver on its hype and transform Financial Services; Use cases with Advanced Analytics and Big Data Analytics in Financial Services, in Production & Distribution of banking products; new opportunities for incumbents in tomorrow’s ecosystem; big data, bigdata, analytics, smart data, data analytics, digitization, digitalization, predictive analytics, sentiment analysis, financial services, banking, asset management, distribution, retail, trading, technology, innovation, fintech, wealth, asset management, investment industry, robo advisory, social investing, behavior, profiling, client segmentation, alias matching, semantic memory models, unstructured data, machine learning, pattern recognition
Big data & analytics for banking new york lars hamberg
Big data & analytics for banking new york lars hamberg
Lars Hamberg
presented by Lutz Finger (LinkedIn) at the LinkedIn Executive Summit in Munich, Sept 8. Fur further questions please reach out via http://bit.ly/KontaktLNKD. Thank you and we are looking forward to seeing you soon again.
LinkedIn Executive Summit: From Data Driven to the Data Revolution
LinkedIn Executive Summit: From Data Driven to the Data Revolution
LinkedIn D-A-CH
ODI at Future Everything 2013 #futr
ODI at Future Everything 2013 #futr
theODI
Big Data RF
Big Data RF
whatismarketing
We now have enough data to move beyond linear lead scoring and account targeting based on tribal knowledge. In this deck, I share some of what we have found on the journey to data driven B2B marketing using Eloqua, LatticeEngines Salesprism, and Salesforce.com
Data Driven Marketing: Can We Clone George Clooney in Oceans 11?
Data Driven Marketing: Can We Clone George Clooney in Oceans 11?
Abner Germanow
هذا العرض تم فية شرح اللغات الطبيعية وكيفية معالجتها
emerging-tech2018-01-15justfrank-180218202037.pdf
emerging-tech2018-01-15justfrank-180218202037.pdf
ssuser0ca68e
Presentation for Information Systems - Executive MBA Program Emerging Technology: Artificial Intelligence Natural Language Processing
Artificial Intelligence: Natural Language Processing
Artificial Intelligence: Natural Language Processing
Frank Cunha
Gramener's VP - Sales, APAC Region, Vijayam Sirikonda interacted with the students of IIM Raipur and talked about the importance of data storytelling for business users.
The Art of Storytelling Using Data Science
The Art of Storytelling Using Data Science
Gramener
Presented on April 17th for InnoTech Dallas.
The Future of Advance Analytics
The Future of Advance Analytics
InnoTech
An earlier Enterprise 2.0 presentation we gave about the opportunity of Enterprise 2.0 for Australia, it';s been updated with 2009 content, and 2010 slideshow. Enterprise 2.0 and the underlying models are still an as yet unrealised communication opportunity for innovation.
Enterprise 2 2009
Enterprise 2 2009
2thinknow & Co.
Presentation at London Online, Dec. 2008
London Online 2008
London Online 2008
Joe Buzzanga
Challenges and opportunities of adopting open source in the enterprise
Push To Test - Open Source Adoption in the Enterprise
Push To Test - Open Source Adoption in the Enterprise
Andrew Aitken
Discover the benefits of understanding Big Data.
ePlus Presents Big Data 101
ePlus Presents Big Data 101
ePlus
How to be data driven? How is LinkedIn using data in it's products. How can any company use data to become successful? Why we are not missing data scientists but managers
Germany Executive Summit at LinkedIn
Germany Executive Summit at LinkedIn
Lutz Finger
Date: 15th November 2017 Location: AI Lab Theatre Time: 13:50 - 14:20 Speaker: Hans-Josef Jeanrond Organisation: Sinequa
Big Data LDN 2017: Become an Information-driven Organisation With Cognitive S...
Big Data LDN 2017: Become an Information-driven Organisation With Cognitive S...
Matt Stubbs
Extended deck around data and digital evolution phenomena: from (big)data to cognitive computing
Extended deck around data phenomena from (big)data to Extended deck around d...
Extended deck around data phenomena from (big)data to Extended deck around d...
Pietro Leo
Can Software-Driven Qualitative Data Analysis Replace the Seasoned Researcher?
Theo downes le guin - listening - 2011
Theo downes le guin - listening - 2011
Ray Poynter
Similar a Learning Analytics Medea Webinar, part 1
(20)
Emil Eifrem Keynote - GraphConnect Europe 2017
Emil Eifrem Keynote - GraphConnect Europe 2017
Klarity - Asia digital analytic summit
Klarity - Asia digital analytic summit
Audience Intelligence: Using Social Data to Inform Content, Paid Media and In...
Audience Intelligence: Using Social Data to Inform Content, Paid Media and In...
Big data & analytics for banking new york lars hamberg
Big data & analytics for banking new york lars hamberg
LinkedIn Executive Summit: From Data Driven to the Data Revolution
LinkedIn Executive Summit: From Data Driven to the Data Revolution
ODI at Future Everything 2013 #futr
ODI at Future Everything 2013 #futr
Big Data RF
Big Data RF
Data Driven Marketing: Can We Clone George Clooney in Oceans 11?
Data Driven Marketing: Can We Clone George Clooney in Oceans 11?
emerging-tech2018-01-15justfrank-180218202037.pdf
emerging-tech2018-01-15justfrank-180218202037.pdf
Artificial Intelligence: Natural Language Processing
Artificial Intelligence: Natural Language Processing
The Art of Storytelling Using Data Science
The Art of Storytelling Using Data Science
The Future of Advance Analytics
The Future of Advance Analytics
Enterprise 2 2009
Enterprise 2 2009
London Online 2008
London Online 2008
Push To Test - Open Source Adoption in the Enterprise
Push To Test - Open Source Adoption in the Enterprise
ePlus Presents Big Data 101
ePlus Presents Big Data 101
Germany Executive Summit at LinkedIn
Germany Executive Summit at LinkedIn
Big Data LDN 2017: Become an Information-driven Organisation With Cognitive S...
Big Data LDN 2017: Become an Information-driven Organisation With Cognitive S...
Extended deck around data phenomena from (big)data to Extended deck around d...
Extended deck around data phenomena from (big)data to Extended deck around d...
Theo downes le guin - listening - 2011
Theo downes le guin - listening - 2011
Más de erikwoning
Welke online tools kun je inzetten in het onderwijs om je lessen op een leuke manier te starten of in te vullen? En welke tools kun je het beste gebruiken voor een snelle quiz of toets? Tijdens de workshop worden veel verschillende tools en voorbeelden behandeld en gaan deelnemers aan de slag met het zelf ontdekken van de mogelijkheden van enkele tools.
Online Tools in het Onderwijs
Online Tools in het Onderwijs
erikwoning
De presentatie van de themasessie Gamification in het Onderwijs in Lab to Learn op 30 november 2016.
Presentatie Themasessie Gamification | Lab to Learn
Presentatie Themasessie Gamification | Lab to Learn
erikwoning
Presentatie Erik Woning over de rol van data in het onderwijs t.b.v. het SOK Congres 2014
Presentatie SOK Congres
Presentatie SOK Congres
erikwoning
Presentatie Trends, Innovaties & Analytics Noordhoff
Presentatie Trends, Innovaties & Analytics Noordhoff
erikwoning
Presentatie Hogeschool Utrecht: Trends in het Onderwijs
Presentatie Hogeschool Utrecht: Trends in het Onderwijs
erikwoning
Presentatie behorende bij de workshop Huiswerk & Learning Analytics tijdens het Facto Congres Huiswerk. Welke rol spelen nieuwe ontwikkelingen als data, adaptieve leerplatformen en Learning Analytics bij het onderwijs van de toekomst. En welk effect heeft dit wellicht op het huiswerk?
FACTA Learning Analytics Huiswerk
FACTA Learning Analytics Huiswerk
erikwoning
Presentatie behorende bij het Kennisnet webinar 'Kansen en Uitdagingen bij Datagedreven Onderwijs'. Zie: http://www.youtube.com/watch?v=hRWrRIu7uco&list=PLQI9hXCcoK1QZARMTuQ5YJTgWIYJGcQDg&feature=share
Kennisnet Webinar: kansen en uitdagingen bij datagedreven onderwijs
Kennisnet Webinar: kansen en uitdagingen bij datagedreven onderwijs
erikwoning
De presentatie behorende bij het introductiewebinar over Learning Analytics. Bekijk de opname van de webinar op YouTube: http://www.youtube.com/watch?v=9eoQMIPnDCY&list=PLQI9hXCcoK1QZARMTuQ5YJTgWIYJGcQDg&feature=share
Webinar Introductie Learning Analytics
Webinar Introductie Learning Analytics
erikwoning
Programmeren in het Onderwijs: Verplicht of Niet? IPON 2014
Programmeren in het Onderwijs: Verplicht of Niet? IPON 2014
erikwoning
Presentatie van de live sessie tijdens de Masterclass Learning Analytics van Kennisnet en de OU.
Masterclass Learning Analytics
Masterclass Learning Analytics
erikwoning
Korte overview over Learning Aanlytics en ontwikkelingen in het onderwijs.
Data veranderen in gepersonaliseerde leerervaringen
Data veranderen in gepersonaliseerde leerervaringen
erikwoning
Presentatie over Learning Analytics
Data veranderen in gepersonaliseerde leerervaringen roc
Data veranderen in gepersonaliseerde leerervaringen roc
erikwoning
Más de erikwoning
(12)
Online Tools in het Onderwijs
Online Tools in het Onderwijs
Presentatie Themasessie Gamification | Lab to Learn
Presentatie Themasessie Gamification | Lab to Learn
Presentatie SOK Congres
Presentatie SOK Congres
Presentatie Trends, Innovaties & Analytics Noordhoff
Presentatie Trends, Innovaties & Analytics Noordhoff
Presentatie Hogeschool Utrecht: Trends in het Onderwijs
Presentatie Hogeschool Utrecht: Trends in het Onderwijs
FACTA Learning Analytics Huiswerk
FACTA Learning Analytics Huiswerk
Kennisnet Webinar: kansen en uitdagingen bij datagedreven onderwijs
Kennisnet Webinar: kansen en uitdagingen bij datagedreven onderwijs
Webinar Introductie Learning Analytics
Webinar Introductie Learning Analytics
Programmeren in het Onderwijs: Verplicht of Niet? IPON 2014
Programmeren in het Onderwijs: Verplicht of Niet? IPON 2014
Masterclass Learning Analytics
Masterclass Learning Analytics
Data veranderen in gepersonaliseerde leerervaringen
Data veranderen in gepersonaliseerde leerervaringen
Data veranderen in gepersonaliseerde leerervaringen roc
Data veranderen in gepersonaliseerde leerervaringen roc
Último
SGK
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
QucHHunhnh
Paris Olympic Geographies
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
GeoBlogs
As Odoo is a comprehensive business management software suite, the Calendar view is a powerful tool used to visualize and manage events, tasks, meetings, deadlines and other time-sensitive activities across various modules such as CRM, Project management, HR modules and more. In this slide, we can just go through the the steps of creating a calendar view for a module in Odoo 17.
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
Celine George
Mixin classes are helpful for developers to extend the models. Using these classes helps to modify fields, methods and other functionalities of models without directly changing the base models. This slide will show how to extend models using mixin classes in odoo 17.
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Celine George
Kctjbv
An Overview of Mutual Funds Bcom Project.pdf
An Overview of Mutual Funds Bcom Project.pdf
SanaAli374401
ICT Role in 21st Century Education & its Challenges •This presentation gives an overall view of education in 21st century and how it is facilitated by the integration of ICT. •It also gives a detailed explanation of the challenges faced in ICT-based education and further elaborates the strategies that can help in overcoming the challenges.
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
AreebaZafar22
This presentation was provided by William Mattingly of the Smithsonian Institution, during the third segment of the NISO training series "AI & Prompt Design." Session Three: Beginning Conversations, was held on April 18, 2024.
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
National Information Standards Organization (NISO)
.
Gardella_Mateo_IntellectualProperty.pdf.
Gardella_Mateo_IntellectualProperty.pdf.
MateoGardella
Pie
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
heathfieldcps1
As per the New Education Policy Value Added Course Sports & Fitness theory
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..
Disha Kariya
INDIA THAT IS BHARAT IN 2024 The preliminary round of Swadesh, The india quiz conducted on 30th April, 2024.
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
RAM LAL ANAND COLLEGE, DELHI UNIVERSITY.
SGK
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
QucHHunhnh
process recording format
PROCESS RECORDING FORMAT.docx
PROCESS RECORDING FORMAT.docx
PoojaSen20
Class 11th formulas physics
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
AyushMahapatra5
test
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
ciinovamais
APM Welcome Tuesday 30 April 2024 APM North West Network Conference, Synergies Across Sectors Presented by: Professor Adam Boddison OBE, Chief Executive Officer, APM Conference overview: https://www.apm.org.uk/community/apm-north-west-branch-conference/ Content description: APM welcome from CEO The main conference objective was to promote the Project Management profession with interaction between project practitioners, APM Corporate members, current project management students, academia and all who have an interest in projects.
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
Association for Project Management
exam for kinder
fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writing
TeacherCyreneCayanan
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi Welcome to VIP Call Girl In Delhi Hello! Delhi Call Girls is one of the most popular cities in India. Girls who call in Delhi frequently Advertise their services in small promgons in magazines, as well as on the Internet but We do not act as a direct-promoter. We will do everything we can to make sure that you're safe to the max to the best of our abilities and making sure of our ability and ensuring that you're obtained to the best of our abilities and making sure that you get what you want. Sexuality of our females is recognized by our Business proposals. Top-of-the-line, fully-featured Delhi girl call number and we offer To be aware of it is a major reason in deciding to use our services to ensure that our customers realize the worth of their lives swiftly and in a pleasant manner by engaging with web series performers for a cost of 10000.Here you are able to be Relax knowing that personal information is stored in the business proposals, giving an appearance of like you're as if you are a full affirmation. Call Girls Service Now Delhi +91-9899900591 *********** N.M.************* 01/04/2024 ▬█⓿▀█▀ 𝐈𝐍𝐃𝐄𝐏𝐄𝐍𝐃𝐄𝐍𝐓 CALL 𝐆𝐈𝐑𝐋 𝐕𝐈𝐏 𝐄𝐒𝐂𝐎𝐑𝐓 SERVICE ✅ ❣️ ⭐➡️HOT & SEXY MODELS // COLLEGE GIRLS AVAILABLE FOR COMPLETE ENJOYMENT WITH HIGH PROFILE INDIAN MODEL AVAILABLE HOTEL & HOME ★ SAFE AND SECURE HIGH CLASS SERVICE AFFORDABLE RATE ★ SATISFACTION,UNLIMITED ENJOYMENT. ★ All Meetings are confidential and no information is provided to any one at any cost. ★ EXCLUSIVE PROFILes Are Safe and Consensual with Most Limits Respected ★ Service Available In: - HOME & HOTEL Star Hotel Service .In Call & Out call SeRvIcEs : ★ A-Level (star escort) ★ Strip-tease ★ BBBJ (Bareback Blowjob)Receive advanced sexual techniques in different mode make their life more pleasurable. ★ Spending time in hotel rooms ★ BJ (Blowjob Without a Condom) ★ Completion (Oral to completion) ★ Covered (Covered blowjob Without condom SAFE AND SECURE
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
kauryashika82
Students will get the knowledge of the following- meaning of the pricing, its importance, objectives, methods of pricing, factors affecting the price of products, An overview of DPCO (Drug Price Control Order) and NPPA (National Pharmaceutical Pricing Authority)
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
VishalSingh1417
Advance Mobile application development -(firebase Auth) for faculty of computers stuents seiyun University , yemen class - 07
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
Dr. Mazin Mohamed alkathiri
Último
(20)
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
An Overview of Mutual Funds Bcom Project.pdf
An Overview of Mutual Funds Bcom Project.pdf
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Gardella_Mateo_IntellectualProperty.pdf.
Gardella_Mateo_IntellectualProperty.pdf.
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
PROCESS RECORDING FORMAT.docx
PROCESS RECORDING FORMAT.docx
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writing
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
Learning Analytics Medea Webinar, part 1
1.
INTRODUCTION TO BIG
DATA AND LEARNING ANALYTICS Erik Woning, Project Manager Innovation
2.
BEFORE WE BEGIN
…
3.
ABOUT KENNISNET
4.
5.
6.
7.
1,6 MLN
8.
1,6 MLN 500 k
9.
1,6 MLN 500 k 950
k
10.
11.
12.
13.
14.
MAIN FOCUS IS LEARNING
ANALYTICS
15.
BIG DATA
16.
BIG DATA LEARNING
ANALYTICS
17.
PART 1: BIG DATA
18.
BIG DATA IS
#1
19.
BIG DATA IS
#1 ON THE LIST OF TOP TECH BUZZWORDS SOURCE: GLOBAL LANGUAGE MONITOR
20.
MANY DEFINITIONS OF ‘BIG
DATA’
21.
IS HIGH-VOLUME, HIGH-VELOCITY AND
HIGH-VARIETY INFORMATION ASSETS THAT DEMAND COST- EFFECTIVE, INNOVATIVE FORMS OF INFORMATION PROCESSING FOR ENHANCED INSIGHT AND DECISION MAKING. BIG DATA
22.
CORPORATE INFORMATION MANAGEMENT
23.
24.
25.
26.
27.
28.
NEW APPROACHES TO INFORMATION MANAGEMENT
29.
30.
31.
ESTABLISHED ORDER SEE BIG
DATA AS A THREAT AND HYPE TOP DOWN APPROACH NEW ORDER SEE BIG DATA AS THE NEXT GENERATION BOTTOM UP APPROACH
32.
WHAT IS THEIR
GOAL?
33.
CREATE ANALYTICS
34.
Source: Gartner 2013
35.
Source: Gartner 2013
36.
Source: Gartner 2013
37.
Source: Gartner 2013
38.
Source: Gartner 2013
39.
Source: Gartner 2013
40.
DEVELOPMENTS
41.
42.
QUANTIFIED SELF
43.
44.
45.
46.
HOW DOES IT
FIT IN EDUCATION?
47.
CHALLENGES
48.
BIG BROTHER IS WATCHING
YOU
49.
BIG IS WATCHING YOU DATA
50.
51.
52.
53.
54.
END OF PART
1
Descargar ahora