new patterns for adl architectures and learning designs
DESCRIPTION
This presentation gives an overview on worked patterns for integrating complex learning designs into a network of ADL tools using the new ADL specifications XAPI and TLA. (It has been presented a the ADL Initiative on 18 Sep. 2014)TRANSCRIPT
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New Patterns for ADL Architectures and Learning Designs
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A Short History of ADL Research at the ISN
1998 20001994 2004 2012 2013 2014IS
N’s
Digi
tal L
ibra
ry s
tarte
d
ISN
’s AD
L Ac
tiviti
es S
tarte
d
PfP
ADL
WG
sta
rted
Ilias SCORM Editor
Deliv
ery
Cha
nnel
s
Ed. D
esig
n Pa
ttern
s
Mob
ile M
issi
on S
uppo
rt
Promo%ng and suppor%ng ADL in Europe
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Educational Design Integration Patterns
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Pillars for our Work
ADL De
livery Ch
anne
ls
Blended Learning
Personalized Learning
XAPI and
TLA
Integra%ng the new ADL-‐specs with exis%ng prac%ce
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Our view on the TLA
LRS
Content Broker
Learner Profile
LRS
Content Broker
Learner Profile
SCORM Sequencing
Content Mgmt
xAPI
IMS QTI
OAuth/IMS LIP
TLA SCORM
Learning Management SystemADL Tool
Course Mgmt
From Centralis%c LMSes to
distributed Learning Environments
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Our Results build on the Experiences in Developing and Deploying Two Tools
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Mobler Cards
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ISN Personal Dossiers (http://lab.isn.ethz.ch)
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The Baseline for LD set by SCORM
• Free Choice • Linear Sequences • Networked Sequences • Hierarchical Designs
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Baseline for Practitioners Hybrid Learning (Design) Model
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Ac%vity Type
Role Role Statement
Ac%vity Verbs (choose 1 or 2)
Interac%on Type
ADL Tools
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The Hybrid Learning Design Model can get used as a Tool for Educational Storylines
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Learning design as a form of arranging learning activities
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Our LD Patterns focus on the Transitions between Learning Activities
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Revisit the SCORM Patterns
• Free Choice – implicit • Linear Sequences – easy • Networked Sequences – hard • Hierarchical Designs – confusing
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Learning Design Patterns for Extended Blended Learning
• Preparation Pattern • Growth Pattern • Integration Pattern (learners integrate
knowledge) • Specialization Pattern • Exploration Pattern
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All Patterns have been modeled with Ilias LMS and Mobler Cards (unless indicated otherwise)
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Basic preparation Lorem ipsum …
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A ques%on pool is open un%l the main course starts
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Homework for face-to-face classes
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Every week a new ques%on pool replaces the old ones
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The Flipped Classroom
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AMer every session new exercises
are ac%vated that are discussed during the next session
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Basic Growth Pattern
TEST C.1 C.2 C.3 C.4
E.1
E.1+2
E.1+2+3
E.1+2+3+4
More exercises become available with every completed chapter
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Basic Integration Pattern
Each par%cipant gets specific
exercises, the group synthesizes the knowledge
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Lorem ipsum … Online Test
General exercises are available to all
Special professional learning needs
Basic Specialization Pattern
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Teachers and Trainers can implement and control these patterns directly from within ILIAS using the built-in content editor, role management, and access-rules
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Patterns Beyond Mobler Cards
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Basic Exploration
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Resource Research
ISN Personal Dossiers PaXern
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Inquiry-based Learning
QuestionHypothesis
Operationali-sation
Planning
DataCollection
Commu-nication
InterpretationDiscussion
Data analysisReporting
h3p://wespot.net
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Why is there no reward pattern?
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Guides what can be evaluated automa%cally
Guides what can be evaluated or assessed
(or gamified) For related paXerns see Glahn, 2009, Verpoorten, 2013, and Kelle, 2013
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The Key Challenge
How to connect these activity patterns across several ADL-tools?
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Architectural Patterns
• Proxy LMS Pattern • Personal Hub Pattern • Integrating Environment Pattern • Activity Activation • Shadow LMS Pattern
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Proxy LMS
Mobler Cards App Ilias E-Portfolio System
LRS LRS LRSSensor Network
Core Mobler Cards Architecture
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Personal Hub
Mobile App VLE
LRS
LRS
Sensor Network
Mobile App
LRS
Sensor Network
Mobler Cards synchronizes instances via the LMS
VLE = Virtual Learning
Environment (or LMS)
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Mostly implemented by Mobler Cards
Integrating Environment
PLE VLE
LRS
LRS
VLE
LRS
PLE = Personal Learning
Environment
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Complex Integration
Mobile App
LRS
LocalSensor Network
Simulation
LRSLocal
Sensor Network
VLE
LRS
VLE
LRS
E-Portfolio System
LRS
HR-Mangement
System
LRS
SCORM
My Future Vision of a Learning Environment
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Why is there no central LRS?
Log Data
Learning Analytics Engine
Event & Context Handler
XAPIActivity Stream
LRS
Applica%on Specific
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Activity Activation Pattern
Log Data
Learning Analytics Engine
Activity Provider
Event & Context Handler
XAPIActivity Stream
Statistics UI
Activity Selection
Learning Environment
Activity Activation
LRS
Learning Design Decisions
Learning Design Decisions
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Shadow LMS Pattern
VLEDigital Library
CMI /LRS
CMI /LRSContent
Interaction Script
Proxy Content
DRM
Content and Learning Processes are
Managed in Different Systems
(supported by ISN Personal Dossiers)
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Limitations • High payload built into XAPI streams
• Not really optimized for mobile apps • Unnecessary exposure of user data (shadow LMS)
• XAPI still bound to a client-server architecture • Missing filters and triggers
• Avoid implicit models such as found in IMS Simple Sequencing
• Unclear how main activity stream should get filtered in practice (e.g. for course facilitators and students)
• TLA is unspecified at a functional level (yet) • Missing process model
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Dr. Christian Glahn http://www.isn.ethz.ch https://github.com/ISN-Zurich/
@phish108 hXp://slidesha.re/phish108
hXp://lo-‐f.at/glahn