Ontwikkelingen in het onderwijs. Eduard Beck & Martin Diepeveen 31 maart 2016

Transcription

1 Ontwikkelingen in het onderwijs Eduard Beck & Martin Diepeveen 31 maart 2016

2 Studenten brengen steeds vaker hun eigen devices mee. Ze studeren niet alleen met laptops, maar ook met tablets en smartphones. Bestuurders en medewerkers gebruiken bovendien ook steeds vaker mobile devices. Hierbij is de beschikbaarheid versus de beveiliging voor de IT-afdeling een serieuze uitdaging.

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6 Mogelijke beschermende maatregelen Suite Technologie Voorbeelden van bescherming SURF/SLB Basispakket Data Loss Prevention: Bescherming tegen (on)bewust lekken van gevoelige data In-place hold: Bescherming tegen opzettelijk vernietigen van data Windows Bitlocker: Bescherming bij verlies/diefstal van data door encryptie Exchange Online Protection: Bescherming tegen veel soorten spam en bekende virussen EMS (aanbieding via SURF/SLB) Office 365 E5 (beschikbaar) Office 365 RMS: Bescherming tegen ongeoorloofd toegang tot gevoelige data binnen Office 365 o.a. door encryptie Azure Active Directory Premium: Bescherming tegen verlies van wachtwoord d.m.v. multi-factor authentication Rapportage en inzicht op ongeoorloofd toegang Microsoft Intune: Bescherming en encryptie van data op mobiele apparaten Azure RMS: Bescherming tegen ongeoorloofd toegang tot gevoelige data (in de cloud en lokaal) o.a. door encryptie Advanced Threat Protection (voor Office 365 en Exchange Online Protection): Bescherming tegen zero-day virussen in mail (beschermt o.a. tegen malware) Realtime bescherming onveilige links in mail (beschermt o.a. tegen phishing) Rapportage op effecten van onveilige links (geeft inzicht in of er een datalek is ontstaan en hoeveel) Advanced ediscovery: Snel rapportage en inzicht in onrechtmatig handelen en datalekken Customer lock-box: Regulering van geautorisseerde toegang van de databewerker tot gevoelige data

7 Enterprise Mobility Suite Identity and access management Mobile device and app management Information protection Behavior-based threat analytics Microsoft Azure Active Directory Premium Microsoft Intune Microsoft Azure Rights Management Premium Advanced Threat Analytics Easily manage identities across on-premises and cloud Single sign-on and self-service for corporate resources Leverage MDM and MAM to protect corporate apps and data on almost any device Encryption, identity, and authorization to secure corporate files and across phones, tablets, and PCs Identify suspicious activities and advanced threats in near real time with simple, actionable reporting

8 EMPOWER ENTERPRISE MOBILITY Identity-driven security Managed mobile productivity Comprehensive solution

9 IDENTITY-DRIVEN SECURITY Single sign-on Manage everything Self-service capabilities Easy connection to existing assets Unified experience across user devices Dynamic groups Provisioning B2B collaboration Password reset Group membership MyApps portal

10 IDENTITY-DRIVEN SECURITY Protect users Intelligent analysis Guard apps Multi-factor authentication Leaked credentials reporting Machine learning Security reports User behavior analysis Conditional access Secure remote access

11 EMPOWER ENTERPRISE MOBILITY Identity-driven security Managed mobile productivity Comprehensive solution

12 MANAGED MOBILE PRODUCTIVITY Access management Built-in security Gold standard Conditional access Compliance enforcement Multi-identity support Mobile app management (w & w/o a device enrollment) File and data encryption Office mobile apps Familiar and trusted

13 MANAGED MOBILE PRODUCTIVITY Persistent protection Storage-independent Permit all companies to authenticate Enforce authorization policies Tracking and compliance Powerful logging and reporting Use/abuse tracking Kill documents remotely IT can reason over data Integrated use Works across all platforms Free content consumption Consistent user experience Integrate into common apps and services

14 MANAGED MOBILE PRODUCTIVITY Centralized, secure data Simplified scaling No app rewriting No local access or storage Apps and data stay in the cloud Scale to seasonal need Cloud flexibility File and data encryption Deliver apps as is O365 integration Simplified updates

15 EMPOWER ENTERPRISE MOBILITY Identity-driven security Managed mobile productivity Comprehensive solution

16 COMPREHENSIVE SOLUTION Always up to date Real-time updates Keep up with new apps and devices Works with what you have Support multiple platforms Use existing investments Simple to set up and connect Easy, secure connections Simplified management

17 Identity-driven security Managed mobile productivity Comprehensive solution EMPOWER ENTERPRISE MOBILITY Identity-based security for greater control and visibility. Encourage secure work habits by providing the best apps with built-in security. Manage your mobile and on-premises environment across devices and operating systems.

18 Een niet te stoppen ontwikkeling, waarbij we nog maar aan het begin staan. Hoe is, op basis van de beschikbare data over het leerproces van de student, te voorspellen en te sturen op het uiteindelijke studiesucces? Ook vragen over privacy van gegevens spelen in deze ontwikkeling een belangrijke rol.

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20 Churn analysis Social network analysis Recommendation engines Location-based tracking and services Imagine what machine learning could do for your institution Vision analytics Weather forecasting for business planning Legal discovery and document archiving Equipment monitoring Advertising analysis Pricing analysis Fraud detection Personalized learning

21 Heating and A/C optimization MOOC completions Graduation rates Endowments Teacher effectiveness Student enrollment and retention Bullying prevention Marketing effectiveness Personalized learning School and district rankings Parking optimization Cafeteria improvements Enabling at-risk and disabled students Book store sales Student achievement Equipment reliability

22 Time Spent (Minutes) Energy Points Earned Assess knowledge and ability Predict future achievement Track progress Stuck? Potential tutor? Bored? Azure ML Student data Student classification Prediction Student Detailed View 35k 25k 15k 05k -05k Exercise Minutes Video Minutes Energy Points Category 1 Category 2 Category 3 Category 4 Customer All Customers Identify best tutors and struggling students Student Status Student Lesson 1 Lesson 2 Lesson 3 Lesson 4 Lesson 5 Lesson 6 Cindy Ravi David Zach Bill Dylan Assessment of Student s Content Knowledge and Clear Presentation Skills Measures the student s understanding of lessons through homework and test scores as well as the student s ability to express herself or himself during class participation. Computation of Student Assessment Data Inputs assessments into a prediction model to identify which students possess adequate knowledge of teaching materials and ability to explain those concepts. The model also identifies struggling students who need more help. Detailed Status Report of Each Student in Each Lesson over Time Reports knowledge level and activity completion of students over time. System also enables instructors to receive feedback on lesson effectiveness.

23 Track current performance Predict dropout probability Aggregate and act Student Hours in class Comments online Logons Dylan David Student Dylan Summary Performance 10% 8% At-Risk Student Statistics Bill % Cindy Zach Databases Online Classroom User interface ,5 2 2,5 3 3,5 4 At-Risk Score (5) Risk Level Intervention Recommended 4% 2% 0% Class School District Low Risk Medium Risk Social media 4.2 High Risk Yes High Risk Average Classroom and Online Interaction Data for Individual Students Collects and tracks how often each student attends class in person, how each performs based on grades, and how much each participates in the class online discussions. Any student can be individually selected for further details. Dropout Threat Predictor Predicts which students are at high risk of dropping out of school based on either sudden changes in performance or consistent signs of struggle. A machine learning algorithm is used to classify students by risk level: Low, Medium, and High. Aggregation of Risk Throughout Education System Sums up and generalizes the number of at-risk students at the classroom, school, and district level. System enables administrators to measure effectiveness of policy changes in school system.

24 Assess student performance Predict learning disability View in aggregate Student William Performance Q1 Q2 Q3 Q4 Reading Writing Math In-class assignments Tests Online Inventory assessments 80% 60% 40% 20% 0% Learning Disability Reading (Dyslexia) Student William Learning Disability Predictor ADHD Reading Writing Math Predicted Likelihood 67% High likelihood of reading disability Recommended Next Step Dyslexia Assessment Learning Disability Predicted Occurrence 8% 7% 6% 5% 4% 3% 2% 1% 0% Higher predicted percentage of math disability in class predicted Class School District ADHD Reading Writing Math Learning Disability Challenges 13 percent of all student in the United States received some form of special education service in Identifying students with learning disabilities is a major challenge in education. Over one-third of parents say their child s school inadequately tests for learning disabilities. 2 1) National Center for Education Statistics 2) National Center for learning disabilities Learning Disability Indicator Assess likelihood of student having undiagnosed learning disabilities based on data. Recommend further actions for teacher based on predictions and provide concrete data to support discussions with parents. 19 percent of students with learning disabilities drop out of high school. 2 Summary Statistics at class, school, and district level Aggregate predictions and statistics can help identify outliers in class performance and achievement, aiding in evaluation of policy effectiveness. Aggregate statistics can also help identify prevalence of underlying causes of underperformance.

25 Web apps Mobile apps PowerBI/dashboards Azure Machine Learning API service and the developer Tested models are available as URLs that can be called from any end point. Azure Preview portal and Azure Machine Learning API service and the Azure ops team: Create the ML workspace. Assign storage account(s). Monitor ML consumption. See alerts when models are ready. Deploy models as web services. Azure Machine Learning Studio and the data scientist: Access and prepare data. Create, test, and train models. Collaborate. Data Stage Scientist for production via the API service (with one click). HDInsight Azure Storage Training set, on-premises

26 De beweging naar de cloud is binnen onderwijsinstellingen reeds gemaakt. Ook de 4 leveranciers maken stappen naar de cloud. Wat is hun visie en hoe zit het met de beveiliging van gegevens en systemen? Hoe zorgt u als instelling voor regie over en tussen al die clouddiensten?

27 DevOps Clients Management Applications PaaS & DevOps App Frameworks & Tools Databases & Middleware Infrastructure

28 Azure Site Recovery: Protect VMWare and Physical Servers in Public Preview Azure Backup Generally Available Azure API Management Premium simplifies high availability and massive scale for APIs ExpressRoute for Office 365 Azure Active Directory Dynamic Membership For Groups Automatic Password Change for Social Media Shared Accounts Compute-Intensive A10 and A11 Virtual Machine Instances Remote Desktop app for Windows Phone support for Gateway and Remote Resources Informatica Cloud Agent availability in Linux and Windows Virtual Machines Azure DocumentDB Hadoop Connector Azure HDInsight support for more VM sizes Enterprise-Grade Array-Based Replication and Disaster Recovery

29 Platform Services Security & Management Service Creation & Configuration User/Group Directory Store Identity Sign-Up and sign-in Multi-Factor Authentication Scheduled Service Management Task Scheduler Stateless Compute Scheduled Compute Jobs Simple Queuing Hybrid Connections Distributed Compute Virtual App Streaming B2B Integration Pub/Sub Queuing Web Apps Infrastructure Mobile Backends API Management API App Infrastructure Business Process Automation Push Notifications Big Data Analytics Relational SQL Database Distributed In-Memory Cache Predictive Analytics Data Warehouse Search Data Stream Analytics Document Database Service Simple Key/Value Store Big Data Storage Hybrid Operations Directory Health Monitoring Privileged Identity Management Domain Join & Policy Management Server Data Backup Operational Analytics Encryption Key Store Development Tools Software Development Kits Data Pipelines Device Data Collection Data Source Management Bulk Data Import And Export Software/Solution Marketplace Pre-Build VM Images Live & OD Media Streaming Content Delivery Network (CDN) Software Lifecycle Management Application Instrumentation Infrastructure Services IoT Device Management Mobile Analytics Disaster Recovery Hybrid/Intelligent Data Backup

30 Security & Management Security & Management The Azure Platform Strategy Public Cloud Platform Hybrid Operations SaaS (Software as a Service) O365, CRM, VSO etc + 3 rd Party SaaS Solutions Hybrid Operations Microsoft Azure Stack & Cloud Platform System Public, Global, Shared Datacenters

31 What do others say..? A look inside Gartner Magic Quadrants Microsoft leads in core cloud technologies, IaaS, PaaS, Private and Public Clouds Microsoft leads in 19 Gartner MQ s (and a Visionary or Challenger in 17 others) Topic Area Magic Quadrant Last Release Microsoft Amazon Application Development Life Cycle Application Development Management Feb-15 Leader Business Applications Business Intelligence and Analytics Platforms Feb-15 Leader Software Infrastructure Client Management Tools May-15 Leader Software Infrastructure Cloud Infrastructure as a Service May-15 Leader Leader Business Applications CRM Customer Engagement Center Apr-15 Leader Software Infrastructure Data Warehouse Database Management Systems Feb-15 Leader Challenger Software Infrastructure Enterprise Application Platform as a Service Mar-15 Leader Business Applications Enterprise Content Management Oct-15 Leader Software Infrastructure Horizontal Portals Sep-15 Leader Application Development Integrated Software Quality Suites Aug-14 Leader Software Infrastructure On-premises Application Integration Suites Jul-14 Leader Software Infrastructure Operational Database Management Systems Oct-15 Leader Leader Software Infrastructure Public Cloud Storage Services Jun-15 Leader Leader Business Applications Sales Force Automation Jul-15 Leader Software Infrastructure Secure Gateways Jun-15 Leader Business Applications Social Software in the Workplace Oct-15 Leader Communications Equipment Unified Communications Aug-15 Leader Software Infrastructure Web Conferencing Dec-15 Leader Software Infrastructure x86 Server Virtualization Infrastructure Jul-15 Leader Magic Quadrant for Cloud Infrastructure as a Service Worldwide (May 2015) LEADER Magic Quadrant for Magic Quadrant for Magic Quadrant for Magic Quadrant for Magic Quadrant for Public Cloud Storage Enterprise Application Business Intelligence and X86 Server Virtualization Operational Database Services Platform as a Service Analytics Platforms Infrastructure Management Systems (June 2015) (March 2015) (Feb 2015) (July 2015) (Oct 2015) LEADER LEADER LEADER LEADER LEADER *Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

32 Azure Compliance The largest compliance portfolio in the industry ISO SOC 1 Type 2 SOC 2 Type 2 PCI DSS Level 1 Cloud Controls ISO Matrix Content Delivery and Security Association Shared Assessments FedRAMP JAB P-ATO HIPAA / HITECH FIPS CFR FERPA DISA Level 2 CJIS IRS 1075 ITAR-ready Section 508 Part 11 VPAT European Union Model Clauses EU Safe Harbor United Kingdom G-Cloud China Multi Layer Protection Scheme China GB China CCCPPF Singapore MTCS Level 3 Australian Signals Directorate New Zealand GCIO Japan Financial Services ENISA IAF

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