Educational Technologies

Educational Technologies

What is coming next?Tuesday, 1 October 13

Dr Jason Zagamijason.zagami.info

Tuesday, 1 October 13

http://www.zagami.info


LecturerGriffith University

School of Education and Professional StudiesGold Coast


Educational Technologies

• Clouds / Virtual Labs / 3D Printing / Publishing

• Online / Mobile / VWorlds / AR / VR / Wearable

• Tablets / Surfaces / Gestures / Neural Interfaces

• Gaming / Gamification / Badging

TechnologicalInnovation


Lee Shulman


Pedagogical Knowledge

(PK)

TechnologicalKnowledge

(TK)

ContextTuesday, 1 October 13

Content Knowledge

(CK)


(TK)


Content Knowledge

(CK)


(PK)


(TK)


Pedagogical Content Knowledge(PCK)

Content Knowledge

(CK)


(PK)


(TK)


Matthew Koehler Punya Mishra



Content Knowledge

(CK)


(PK)


(TK)



Content Knowledge

(CK)


(PK)

Technological Content

Knowledge(TCK)


(TK)



Content Knowledge

(CK)


(PK)


Knowledge(TCK)


(TK)

Technological Pedagogical Knowledge

(TPK)



Content Knowledge

(CK)


(PK)


Knowledge(TCK)


(TK)

Technological Pedagogical Knowledge

(TPK)

Technological Pedagogical

Content Knowledge

(TPCK)


Learning Analytics

Pedagogical Diversity





LearningAnalytics


Technology/Pedagogy/Learning Analytics

• Boundaries of school based learning

• Ethics of crossing these boundaries

• Implications for life long learning

• Individual vs aggregated analysis



www.nmc.orgHorizon Reports



Cloud ComputingTechnological

Innovation



Innovation

Currently 42% of schools 35% of K-12 IT Budgets, Savings of 20%



Innovation

• Collaboration• Conferencing• File storage• Virtualization• Processing Power• Scalability• Desktop - Laptop - Tablet - Mobile• Private cloud computing



Innovation


Cloud ComputingPedagogical

Diversity

• Multiple Authors• Activity Trails (Time and Content)• Autosave• Ownership (Content)• Ownership (Environment)


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



Virtual LaboratoriesTechnological

Innovation

genome.edu.auTuesday, 1 October 13

Virtual LaboratoriesTechnological

Innovation


3D PrintingTechnological

Innovation


3D Printing

www.playmaker.org



3D Printing

diy.org



GamificationPedagogical

Diversity


BadgingPedagogical

Diversity


Online Learning

• Canada (Compulsory Offering)

• USA (Compulsory Completions)

• Khan Academy (4300 micro lectures)

• Computer Education ACS report



Online LearningPedagogical

Diversity


LMS’s vs PLN’s

• Teacher/Institution Centred vs Learner Centred

• Blackboard/Moodle vs Social Media

• SCORM -> Tin Can API

• Platform Reliance



LMS’s vs PLN’sPedagogical

Diversity


MOOCs• cMOOC vs xMOOC

• Global market and commercialisation

• MOOC’s vs Communities of Practice

• Publishers/BB



Learning AnalyticsSocial Networks Adapting Pedagogical Practice

LearningAnalytics


Learning AnalyticsWolfram|Alpha Analytics for Facebook

LearningAnalytics


PanopticonLearningAnalytics


Automated Feedback

• aka Assessment

• Targeted/Dynamic Assessment

• Peer Assessments

• Essay Grading

• Feedback Analysis

LearningAnalytics


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



Publishing

• Reading time

• Reading rate

• Eye tracking

• Pupil dilation

LearningAnalytics


Open ContentPedagogical

Diversity


Open LearningPedagogical

Diversity


CurationPedagogical

Diversity


Individualised Support

Time

Learning Analytics

LearningAnalytics


Mobile

• Price points <$50 Tablets and netbooks

• Realistically ~$100

• Ubiquitous processing and connectivity

• Magazines, books, all electronic devices

• Video/Audio/Location monitoring



AppsPedagogical

Diversity


Apps

• Small applications, low cost

• Learning objects ($$$$ TLF/ESA)

• SCORM -> Tin Can API

• Purchasing and licencing models

• Micro-transactions



Micro PurchasesPedagogical

Diversity


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)



DataloggingLearningAnalytics


Health MonitoringLearningAnalytics


Remote Health MonitoringLearningAnalytics


LearningAnalytics


Improvement MonitoringLearningAnalytics


Attention/Stress MonitoringLearningAnalytics


RFDI TrackingLearningAnalytics


Activity MonitoringLearningAnalytics


FeedbackLearningAnalytics


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


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


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


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


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


Surfaces

• Screen real-estate

• Multiple monitors


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Surfaces

• Screen real-estate

• Multiple monitors



Interactive Whiteboards



Interactive SurfacesTechnological

Innovation


TechnologicalInnovationLocation based learning


TechnologicalInnovationAugmented Reality


Augmented RealityTechnological

Innovation


0:22


Innovation


0:17


Innovation


1:30


Innovation


0:40


Innovation


Augmented Classrooms



Wearable CamerasTechnological

Innovation


Google Glass




Google GlassTuesday, 1 October 13

Virtual RealityTechnological

Innovation



Interactive ProjectionsTuesday, 1 October 13


Motion CaptureTuesday, 1 October 13

TechnologicalInnovationMotion Capture


Holographic TelepresenceTechnological

Innovation


TechnologicalInnovationTelepresence


Neural InterfacesTechnological

Innovation


Theta

Alpha


Innovation


Brain Waves

Delta 1-4hz Theta 4-7hz

Alpha 7-13hz Beta 13-30hz



Switch in reality

Wake -> Sleep Theta 4-7hz

Alpha 7-13hz Sleep -> Wake



Synaptic PruningTechnological

Innovation


Interactive ArtTechnological

Innovation



Innovation



Innovation

60


Griffith University

Dr Jason Zagami

jason.zagami.info




Educational Technologies

Education

Transcript of Educational Technologies