ontwikkelingen in het onderwijs - surf
TRANSCRIPT
Ontwikkelingen in het
onderwijs
Eduard Beck & Martin Diepeveen
31 maart 2016
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.
Mogelijke beschermende maatregelenSuite 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
Office 365 RMS: Bescherming tegen ongeoorloofd toegang tot gevoelige data binnen Office 365 o.a. door encryptie
EMS (aanbieding via SURF/SLB)
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
Office 365 E5 (beschikbaar)
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
Enterprise Mobility Suite
Microsoft IntuneMicrosoft Azure Active
Directory PremiumMicrosoft 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 email across
phones, tablets, and PCs
Identify suspicious activities
and advanced threats in near
real time with simple,
actionable reporting
Behavior-based
threat analytics
Information
protection
Identity and access
management
Mobile device and
app management
Identity-drivensecurity
Comprehensive solution
Managed mobile productivity
EMPOWER ENTERPRISE MOBILITY
IDENTITY-DRIVEN SECURITY
Self-service capabilities
• Password reset
• Group membership
• MyApps portal
Manage everything
• Dynamic groups
• Provisioning
• B2B collaboration
Single sign-on
• Easy connection to existing assets
• Unified experience across user devices
IDENTITY-DRIVEN SECURITY
Guard apps
• Conditional access
• Secure remote access
Intelligent analysis
• Machine learning
• Security reports
• User behavior analysis
Protect users
• Multi-factor authentication
• Leaked credentials reporting
Identity-drivensecurity
Comprehensive solution
Managed mobile productivity
EMPOWER ENTERPRISE MOBILITY
MANAGED MOBILE PRODUCTIVITY
• Conditional access
• Compliance enforcement
• Multi-identity support
Access management
• Mobile app management (w & w/o a device enrollment)
• File and data encryption
Built-in security
• Office mobile apps
• Familiar and trusted
Goldstandard
MANAGED MOBILE PRODUCTIVITY
Integrated use
• Works across all platforms
• Free content consumption
• Consistent user experience
• Integrate into common apps and services
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
MANAGED MOBILE PRODUCTIVITY
Centralized, secure data
• No local access or storage
• Apps and data stay in the cloud
No app rewriting
• Deliver apps as is
• O365 integration
• Simplified updates
Simplified scaling
• Scale to seasonal need
• Cloud flexibility
• File and data encryption
Identity-drivensecurity
Comprehensive solution
Managed mobile productivity
EMPOWER ENTERPRISE MOBILITY
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
COMPREHENSIVE SOLUTION
EMPOWER ENTERPRISE MOBILITY
Identity-based security for
greater control and visibility.
Identity-drivensecurity
Manage your mobile and
on-premises environment across
devices and operating systems.
Comprehensive solution
Encourage secure work habits
by providing the best apps
with built-in security.
Managed mobile productivity
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.
Vision analytics
Recommendation
engines
Advertising
analysis
Weather
forecasting for
business planning
Social network
analysis
Legal
discovery and
document
archiving
Pricing analysis
Fraud
detection
Churn
analysis
Equipment
monitoring
Location-based
tracking and
services
Personalized
learning
Imagine what machine learning could do for
your institution
Equipment reliability
Graduation rates
School and
district
rankingsPersonalized
learning
MOOC
completions
Heating and A/C optimization
Enabling at-risk and
disabled students
Endowments
Book store salesStudent achievement
Bullying prevention
Teacher
effectiveness
Student enrollment and
retention
Parking
optimization
Cafeteria
improvements
Marketing
effectiveness
Stuck?
Potential tutor?
Bored?-05k
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15k
25k
35k
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100
150
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7 En
erg
y P
oin
ts E
arn
ed
Tim
e S
pen
t (M
inu
tes) Student Detailed View
Exercise Minutes Video Minutes Energy Points
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.
Student Lesson 1 Lesson 2 Lesson 3 Lesson 4 Lesson 5 Lesson 6
Cindy
Ravi
David
Zach
Bill
Dylan
Student Status
Azure MLStudent
classification
Student data Prediction
0
2
4
6
Category 1 Category 2 Category 3 Category 4
Customer All Customers
Identify
best tutors
and
struggling
students
Assess knowledge and ability Predict future achievement Track progress
At-Risk Student Statistics
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.
Student “Dylan” Summary
Track current performance Predict dropout probability Aggregate and act
StudentHours in
class
Comments
onlineLogons
Dylan 0 15 3
David 6
Bill 10 70 5
Cindy 12 4 6
Zach 6 3 8
Online
Classroom
Social media
Databases
User interface
0
20
40
60
80
100
1 1,5 2 2,5 3 3,5 4
Performance
At-Risk Score
(5)
Risk
Level
Intervention
Recommended
4.2 High Risk Yes
0%
2%
4%
6%
8%
10%
Class School District
Low Risk Medium Risk
High Risk Average
Student “William” Performance Learning Disability Predicted Occurrence
Learning Disability Challenges
13 percent of all student in the United States received
some form of special education service in 2012.1
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
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.
Student William Learning
Disability Predictor
Assess student performance Predict learning disability View in aggregate
40
60
80
100
Q1 Q2 Q3 Q4
Reading Writing Math
• In-class assignments
• Tests
• Online
• Inventory assessments
0%
20%
40%
60%
80%
ADHD Reading Writing Math
Learning
Disability
Predicted
Likelihood
Recommended
Next Step
Reading
(Dyslexia)67%
Dyslexia
Assessment
0%
1%
2%
3%
4%
5%
6%
7%
8%
Class School District
ADHD Reading Writing Math
High likelihood of
reading disability
Higher predicted percentage
of math disability in class
predicted
1) National Center for Education Statistics
2) National Center for learning disabilities
PowerBI/dashboardsMobile appsWeb apps
Data Scientist
HDInsight
Azure Storage
Training set,
on-premises
Azure Machine Learning
Studio and the data scientist:
• Access and prepare data.
• Create, test, and train models.
• Collaborate.
• Stage for production via the API
service (with one click).
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 API service and the developer
• Tested models are available as URLs that can be called from any end point.
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?
Applications
Clients
Infrastructure
Management
Databases &
Middleware
App Frameworks
& Tools
DevOps
PaaS &
DevOps
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
with ASR and System Center GA
Platform Services
Infrastructure Services
Web AppsInfrastructure
MobileBackends
APIManagement
API AppInfrastructure
Business ProcessAutomation
PushNotifications
Content DeliveryNetwork (CDN)
Live & ODMedia Streaming
B2BIntegration
HybridConnections
Pub/SubQueuing
SimpleQueuing
HybridOperations
Server DataBackup
Hybrid/IntelligentData Backup
DisasterRecovery
Bulk Data ImportAnd Export
RelationalSQL Database
DocumentDatabase Service
DistributedIn-MemoryCache
SearchSimpleKey/ValueStore
DataWarehouse
Directory Health Monitoring
PrivilegedIdentity Management
OperationalAnalytics
StatelessCompute
ScheduledCompute Jobs
Virtual AppStreaming
DistributedCompute
DevelopmentTools
ApplicationInstrumentation
Software DevelopmentKits
Software LifecycleManagement
Domain Join &Policy Management
Big DataAnalytics
PredictiveAnalytics
Data StreamAnalytics
Data Pipelines
Device DataCollection
MobileAnalytics
Big Data Storage
IoT DeviceManagement
Data SourceManagement
Security & Management
User/Group Directory Store
Multi-FactorAuthentication
Scheduled ServiceManagement
Service Creation& Configuration
Encryption KeyStore
Software/SolutionMarketplace
Pre-Build VMImages
Identity Sign-Up and sign-in
TaskScheduler
The Azure Platform Strategy
Public, Global, Shared DatacentersMicrosoft Azure Stack & Cloud Platform System
Secu
rity
&
Man
ag
em
en
t
SaaS(Software as a Service)O365, CRM, VSO etc…
+3rd Party SaaS Solutions
Public Cloud
Platform
Hyb
ridO
pera
tion
sSecu
rity
&
Man
ag
em
en
t
Hyb
ridO
pera
tion
s
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)
What do others say..?
Magic Quadrant forCloud Infrastructure as a Service Worldwide (May 2015)
*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.
Topic Area Magic Quadrant Last Release Microsoft Amazon
Application Development
Application Development Life Cycle
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 Email 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
LEADER
Magic Quadrant forPublic Cloud Storage Services (June 2015)
Magic Quadrant forEnterprise Application Platform as a Service (March 2015)
Magic Quadrant forX86 Server Virtualization Infrastructure (July 2015)
Magic Quadrant forOperational Database Management Systems (Oct 2015)
LEADER LEADER LEADER LEADER
Magic Quadrant forBusiness Intelligence and Analytics Platforms (Feb 2015)
LEADER
Azure ComplianceThe largest compliance portfolio in the industry
HIPAA / HITECH
FedRAMP JAB P-ATO
FIPS 140-2 FERPA DISA Level 2 ITAR-readyCJIS21 CFRPart 11
IRS 1075 Section 508 VPAT
ISO 27001 PCI DSS Level 1SOC 1 Type 2 SOC 2 Type 2 ISO 27018Cloud Controls
Matrix
Content Delivery and
Security Association
Shared
Assessments
European Union
Model Clauses
United Kingdom
G-Cloud
Singapore
MTCS Level 3
Australian
Signals
Directorate
Japan
Financial Services
China Multi
Layer Protection
Scheme
China
CCCPPF
New
Zealand
GCIO
China
GB 18030
EU Safe
HarborENISA
IAF