educational technologies
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Educational Technologies
What is coming next?Tuesday, 1 October 13
Dr Jason Zagamijason.zagami.info
Tuesday, 1 October 13
LecturerGriffith University
School of Education and Professional StudiesGold Coast
Tuesday, 1 October 13
Educational Technologies
• Clouds / Virtual Labs / 3D Printing / Publishing
• Online / Mobile / VWorlds / AR / VR / Wearable
• Tablets / Surfaces / Gestures / Neural Interfaces
• Gaming / Gamification / Badging
TechnologicalInnovation
Tuesday, 1 October 13
Lee Shulman
Tuesday, 1 October 13
Pedagogical Knowledge
(PK)
TechnologicalKnowledge
(TK)
ContextTuesday, 1 October 13
Content Knowledge
(CK)
TechnologicalKnowledge
(TK)
ContextTuesday, 1 October 13
Content Knowledge
(CK)
Pedagogical Knowledge
(PK)
TechnologicalKnowledge
(TK)
ContextTuesday, 1 October 13
Pedagogical Content Knowledge(PCK)
Content Knowledge
(CK)
Pedagogical Knowledge
(PK)
TechnologicalKnowledge
(TK)
ContextTuesday, 1 October 13
Matthew Koehler Punya Mishra
Tuesday, 1 October 13
Pedagogical Content Knowledge(PCK)
Content Knowledge
(CK)
Pedagogical Knowledge
(PK)
TechnologicalKnowledge
(TK)
ContextTuesday, 1 October 13
Pedagogical Content Knowledge(PCK)
Content Knowledge
(CK)
Pedagogical Knowledge
(PK)
Technological Content
Knowledge(TCK)
TechnologicalKnowledge
(TK)
ContextTuesday, 1 October 13
Pedagogical Content Knowledge(PCK)
Content Knowledge
(CK)
Pedagogical Knowledge
(PK)
Technological Content
Knowledge(TCK)
TechnologicalKnowledge
(TK)
Technological Pedagogical Knowledge
(TPK)
ContextTuesday, 1 October 13
Pedagogical Content Knowledge(PCK)
Content Knowledge
(CK)
Pedagogical Knowledge
(PK)
Technological Content
Knowledge(TCK)
TechnologicalKnowledge
(TK)
Technological Pedagogical Knowledge
(TPK)
Technological Pedagogical
Content Knowledge
(TPCK)
ContextTuesday, 1 October 13
Learning Analytics
Pedagogical Diversity
TechnologicalInnovation
ContextTuesday, 1 October 13
Pedagogical Diversity
TechnologicalInnovation
LearningAnalytics
Tuesday, 1 October 13
Technology/Pedagogy/Learning Analytics
• Boundaries of school based learning
• Ethics of crossing these boundaries
• Implications for life long learning
• Individual vs aggregated analysis
Pedagogical Diversity
Tuesday, 1 October 13
www.nmc.orgHorizon Reports
TechnologicalInnovation
Tuesday, 1 October 13
Cloud ComputingTechnological
Innovation
Tuesday, 1 October 13
Cloud ComputingTechnological
Innovation
Tuesday, 1 October 13
Cloud ComputingTechnological
Innovation
Currently 42% of schools 35% of K-12 IT Budgets, Savings of 20%
Tuesday, 1 October 13
Cloud ComputingTechnological
Innovation
• Collaboration• Conferencing• File storage• Virtualization• Processing Power• Scalability• Desktop - Laptop - Tablet - Mobile• Private cloud computing
Tuesday, 1 October 13
Cloud ComputingTechnological
Innovation
Tuesday, 1 October 13
Cloud ComputingPedagogical
Diversity
• Multiple Authors• Activity Trails (Time and Content)• Autosave• Ownership (Content)• Ownership (Environment)
Tuesday, 1 October 13
Virtual Laboratories• Students can make mistakes and repeat experiments• Record and replay experiments to analyse for areas of
improvement and acknowledge excellence• Often developed and linked with current research labs• Laboratory/Workshops work not limited to a schools
physical labs/workshops
Pedagogical Diversity
Tuesday, 1 October 13
Virtual LaboratoriesTechnological
Innovation
genome.edu.auTuesday, 1 October 13
Virtual LaboratoriesTechnological
Innovation
Tuesday, 1 October 13
3D PrintingTechnological
Innovation
Tuesday, 1 October 13
3D PrintingTechnological
Innovation
Tuesday, 1 October 13
3D PrintingTechnological
Innovation
Tuesday, 1 October 13
3D PrintingTechnological
Innovation
Tuesday, 1 October 13
3D PrintingTechnological
Innovation
Tuesday, 1 October 13
3D Printing
www.playmaker.org
Pedagogical Diversity
Tuesday, 1 October 13
3D Printing
diy.org
Pedagogical Diversity
Tuesday, 1 October 13
Pedagogical Diversity
Tuesday, 1 October 13
Pedagogical Diversity
Tuesday, 1 October 13
Pedagogical Diversity
Tuesday, 1 October 13
Pedagogical Diversity
Tuesday, 1 October 13
Pedagogical Diversity
Tuesday, 1 October 13
GamificationPedagogical
Diversity
Tuesday, 1 October 13
BadgingPedagogical
Diversity
Tuesday, 1 October 13
Online Learning
• Canada (Compulsory Offering)
• USA (Compulsory Completions)
• Khan Academy (4300 micro lectures)
• Computer Education ACS report
TechnologicalInnovation
Tuesday, 1 October 13
Online LearningPedagogical
Diversity
Tuesday, 1 October 13
LMS’s vs PLN’s
• Teacher/Institution Centred vs Learner Centred
• Blackboard/Moodle vs Social Media
• SCORM -> Tin Can API
• Platform Reliance
TechnologicalInnovation
Tuesday, 1 October 13
LMS’s vs PLN’sPedagogical
Diversity
Tuesday, 1 October 13
MOOCs• cMOOC vs xMOOC
• Global market and commercialisation
• MOOC’s vs Communities of Practice
• Publishers/BB
Pedagogical Diversity
Tuesday, 1 October 13
Learning AnalyticsSocial Networks Adapting Pedagogical Practice
LearningAnalytics
Tuesday, 1 October 13
Learning AnalyticsWolfram|Alpha Analytics for Facebook
LearningAnalytics
Tuesday, 1 October 13
PanopticonLearningAnalytics
Tuesday, 1 October 13
Automated Feedback
• aka Assessment
• Targeted/Dynamic Assessment
• Peer Assessments
• Essay Grading
• Feedback Analysis
LearningAnalytics
Tuesday, 1 October 13
Publishing• ePub
• iBooks -> OSX
• CC SA and closed LMS’s
• Teacher published texts
• Publishing companies / Academic publishing
• Integration of texts with LMS/LA access/quizzes
TechnologicalInnovation
Tuesday, 1 October 13
Publishing
• Reading time
• Reading rate
• Eye tracking
• Pupil dilation
LearningAnalytics
Tuesday, 1 October 13
Open ContentPedagogical
Diversity
Tuesday, 1 October 13
Open ContentPedagogical
Diversity
Tuesday, 1 October 13
Pedagogical Diversity
Tuesday, 1 October 13
Pedagogical Diversity
Tuesday, 1 October 13
Open LearningPedagogical
Diversity
Tuesday, 1 October 13
Open LearningPedagogical
Diversity
Tuesday, 1 October 13
CurationPedagogical
Diversity
Tuesday, 1 October 13
Individualised Support
Time
Learning Analytics
LearningAnalytics
Tuesday, 1 October 13
TechnologicalInnovation
Tuesday, 1 October 13
Pedagogical Diversity
Tuesday, 1 October 13
Pedagogical Diversity
Tuesday, 1 October 13
Mobile
• Price points <$50 Tablets and netbooks
• Realistically ~$100
• Ubiquitous processing and connectivity
• Magazines, books, all electronic devices
• Video/Audio/Location monitoring
TechnologicalInnovation
Tuesday, 1 October 13
AppsPedagogical
Diversity
Tuesday, 1 October 13
Apps
• Small applications, low cost
• Learning objects ($$$$ TLF/ESA)
• SCORM -> Tin Can API
• Purchasing and licencing models
• Micro-transactions
TechnologicalInnovation
Tuesday, 1 October 13
Micro PurchasesPedagogical
Diversity
Tuesday, 1 October 13
Meganets• Closed Meganets (App stores) but
developers cross networks
• Closing the internet (RSS, country filtering/tariff protections)
• Discriminatory pricing
• Educational restrictions (sector LMS’s / ESA -> country restrictions)
• HTML5 (reduced reliance on Apps)
TechnologicalInnovation
Tuesday, 1 October 13
DataloggingLearningAnalytics
Tuesday, 1 October 13
Health MonitoringLearningAnalytics
Tuesday, 1 October 13
Remote Health MonitoringLearningAnalytics
Tuesday, 1 October 13
LearningAnalytics
Tuesday, 1 October 13
Improvement MonitoringLearningAnalytics
Tuesday, 1 October 13
Attention/Stress MonitoringLearningAnalytics
Tuesday, 1 October 13
RFDI TrackingLearningAnalytics
Tuesday, 1 October 13
Activity MonitoringLearningAnalytics
Tuesday, 1 October 13
FeedbackLearningAnalytics
Tuesday, 1 October 13
Learning Analytics• Prediction (in which data is used to predict future
performance);• Clustering (identify similarities in students/tasks);• Relationship mining (between students, teachers,
concepts, etc.);• Modeling (creating a model and using this for further
prediction or analysis); and• Distillation of data for human judgment (the most
common use by teachers using statistics and visualisations).
LearningAnalytics
Tuesday, 1 October 13
Learning Analytics• Extracting and analysing data from learning
management systems;• Building an analytics matrix that incorporates data
from multiple sources (social media, LMS, student information systems, etc);
• Profile or model development of individual learners (across the analytics matrix);
• Predictive analytics: determining at-risk learners;• Automated intervention and adaptive analytics: i.e.
the learner model should be updated rapidly to reflect near real-time learner success and activity so that decisions are not made on out-dated models;
LearningAnalytics
Tuesday, 1 October 13
Learning Analytics• Development of "intelligent curriculum" where
learning content is semantically defined;
• Personalisation and adaptation of learning based on intelligent curriculum where content, activities, and social connections can be presented to each learner based on their profile or existing knowledge; and
• Advanced assessment: comparing learner profiles with architecture of knowledge in a domain for grading or assessment.
LearningAnalytics
Tuesday, 1 October 13
Learning Analytics• Data can uncover problems that might otherwise
remain invisible
• Data can convince people of the need for change
• Data can confirm or discredit assumptions about students and school practices
• Data can get to the root cause of problems, pinpoint areas where change is most needed, and guide resource allocation
LearningAnalytics
Tuesday, 1 October 13
Learning Analytics
• Data can prevent reliance on standardised tests.
• Data can help evaluate program effectiveness and keep the focus on student learning
• Data can prevent one-size-fits-all solutions
• Data can help address accountability questions
• Data can build a culture of inquiry and improvement
LearningAnalytics
Tuesday, 1 October 13
Surfaces
• Screen real-estate
• Multiple monitors
TechnologicalInnovation
20
Tuesday, 1 October 13
Surfaces
• Screen real-estate
• Multiple monitors
TechnologicalInnovation
Tuesday, 1 October 13
Interactive Whiteboards
TechnologicalInnovation
Tuesday, 1 October 13
Interactive SurfacesTechnological
Innovation
Tuesday, 1 October 13
TechnologicalInnovationLocation based learning
Tuesday, 1 October 13
TechnologicalInnovationLocation based learning
Tuesday, 1 October 13
TechnologicalInnovation
Tuesday, 1 October 13
TechnologicalInnovationAugmented Reality
Tuesday, 1 October 13
TechnologicalInnovationAugmented Reality
Tuesday, 1 October 13
Augmented RealityTechnological
Innovation
Tuesday, 1 October 13
0:22
Augmented RealityTechnological
Innovation
Tuesday, 1 October 13
0:17
Augmented RealityTechnological
Innovation
Tuesday, 1 October 13
1:30
Augmented RealityTechnological
Innovation
Tuesday, 1 October 13
0:40
Augmented RealityTechnological
Innovation
Tuesday, 1 October 13
Augmented Classrooms
TechnologicalInnovation
Tuesday, 1 October 13
TechnologicalInnovation
Tuesday, 1 October 13
Wearable CamerasTechnological
Innovation
Tuesday, 1 October 13
Google Glass
TechnologicalInnovation
Tuesday, 1 October 13
TechnologicalInnovation
Google GlassTuesday, 1 October 13
TechnologicalInnovation
Tuesday, 1 October 13
Virtual RealityTechnological
Innovation
Tuesday, 1 October 13
Virtual RealityTechnological
Innovation
Tuesday, 1 October 13
TechnologicalInnovation
Interactive ProjectionsTuesday, 1 October 13
TechnologicalInnovation
Interactive ProjectionsTuesday, 1 October 13
TechnologicalInnovation
Motion CaptureTuesday, 1 October 13
TechnologicalInnovation
Motion CaptureTuesday, 1 October 13
TechnologicalInnovation
Motion CaptureTuesday, 1 October 13
TechnologicalInnovationMotion Capture
Tuesday, 1 October 13
TechnologicalInnovationMotion Capture
Tuesday, 1 October 13
Holographic TelepresenceTechnological
Innovation
Tuesday, 1 October 13
TechnologicalInnovationTelepresence
Tuesday, 1 October 13
TechnologicalInnovationTelepresence
Tuesday, 1 October 13
TechnologicalInnovationTelepresence
Tuesday, 1 October 13
TechnologicalInnovationTelepresence
Tuesday, 1 October 13
Neural InterfacesTechnological
Innovation
Tuesday, 1 October 13
Neural InterfacesTechnological
Innovation
Tuesday, 1 October 13
Neural InterfacesTechnological
Innovation
Tuesday, 1 October 13
Neural InterfacesTechnological
Innovation
Tuesday, 1 October 13
Theta
Alpha
Neural InterfacesTechnological
Innovation
Tuesday, 1 October 13
Brain Waves
Delta 1-4hz Theta 4-7hz
Alpha 7-13hz Beta 13-30hz
TechnologicalInnovation
Tuesday, 1 October 13
Switch in reality
Wake -> Sleep Theta 4-7hz
Alpha 7-13hz Sleep -> Wake
TechnologicalInnovation
Tuesday, 1 October 13
Synaptic PruningTechnological
Innovation
Tuesday, 1 October 13
Interactive ArtTechnological
Innovation
Tuesday, 1 October 13
Neural InterfacesTechnological
Innovation
Tuesday, 1 October 13
Neural InterfacesTechnological
Innovation
Tuesday, 1 October 13
Neural InterfacesTechnological
Innovation
60
Tuesday, 1 October 13
Griffith University
Dr Jason Zagami
jason.zagami.info
Tuesday, 1 October 13
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