New Patterns for ADL Architectures and Learning Designs

41
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 of New Patterns for ADL Architectures and Learning Designs

Page 1: New Patterns for ADL Architectures and Learning Designs

New Patterns for ADL Architectures and Learning Designs

Page 2: New Patterns for ADL Architectures and Learning Designs

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  

Page 3: New Patterns for ADL Architectures and Learning Designs

Educational Design Integration Patterns

Page 4: New Patterns for ADL Architectures and Learning Designs

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  

Page 5: New Patterns for ADL Architectures and Learning Designs

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  

Page 6: New Patterns for ADL Architectures and Learning Designs

Our Results build on the Experiences in Developing and Deploying Two Tools

Page 7: New Patterns for ADL Architectures and Learning Designs

Mobler Cards

Page 8: New Patterns for ADL Architectures and Learning Designs

ISN Personal Dossiers (http://lab.isn.ethz.ch)

Page 9: New Patterns for ADL Architectures and Learning Designs

The Baseline for LD set by SCORM

•  Free Choice •  Linear Sequences •  Networked Sequences •  Hierarchical Designs

Page 10: New Patterns for ADL Architectures and Learning Designs

Baseline for Practitioners Hybrid Learning (Design) Model

Page 11: New Patterns for ADL Architectures and Learning Designs

Ac%vity  Type  

Role  Role  Statement  

Ac%vity  Verbs  (choose  1  or  2)  

Interac%on  Type  

ADL  Tools  

Page 12: New Patterns for ADL Architectures and Learning Designs

The Hybrid Learning Design Model can get used as a Tool for Educational Storylines

Page 13: New Patterns for ADL Architectures and Learning Designs

Learning design as a form of arranging learning activities

Page 14: New Patterns for ADL Architectures and Learning Designs

Our LD Patterns focus on the Transitions between Learning Activities

Page 15: New Patterns for ADL Architectures and Learning Designs

Revisit the SCORM Patterns

•  Free Choice – implicit •  Linear Sequences – easy •  Networked Sequences – hard •  Hierarchical Designs – confusing

Page 16: New Patterns for ADL Architectures and Learning Designs

Learning Design Patterns for Extended Blended Learning

•  Preparation Pattern •  Growth Pattern •  Integration Pattern (learners integrate

knowledge) •  Specialization Pattern •  Exploration Pattern

Page 17: New Patterns for ADL Architectures and Learning Designs

All Patterns have been modeled with Ilias LMS and Mobler Cards (unless indicated otherwise)

Page 18: New Patterns for ADL Architectures and Learning Designs

Basic preparation Lorem ipsum …

Lorem  ipsum  …  

A  ques%on  pool  is  open  un%l  the  main  course  starts  

Page 19: New Patterns for ADL Architectures and Learning Designs

Homework for face-to-face classes

Lorem ipsum … Lorem ipsum … Lorem ipsum …

Every  week  a  new  ques%on  pool  replaces  the  old  ones  

Page 20: New Patterns for ADL Architectures and Learning Designs

The Flipped Classroom

Lorem ipsum … Lorem ipsum … Lorem ipsum …

AMer  every  session  new  exercises  

are  ac%vated  that  are  discussed  during  the  next  session  

Page 21: New Patterns for ADL Architectures and Learning Designs

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  

Page 22: New Patterns for ADL Architectures and Learning Designs

Basic Integration Pattern

Each  par%cipant  gets  specific  

exercises,  the  group  synthesizes  the  knowledge  

Page 23: New Patterns for ADL Architectures and Learning Designs

Lorem ipsum … Online  Test  

General  exercises  are  available  to  all  

Special  professional    learning  needs    

Basic Specialization Pattern

Page 24: New Patterns for ADL Architectures and Learning Designs

Teachers and Trainers can implement and control these patterns directly from within ILIAS using the built-in content editor, role management, and access-rules

Page 25: New Patterns for ADL Architectures and Learning Designs

Patterns Beyond Mobler Cards

Page 26: New Patterns for ADL Architectures and Learning Designs

Basic Exploration

Page 27: New Patterns for ADL Architectures and Learning Designs

Resource Research

ISN  Personal  Dossiers  PaXern  

Page 28: New Patterns for ADL Architectures and Learning Designs

Inquiry-based Learning

QuestionHypothesis

Operationali-sation

Planning

DataCollection

Commu-nication

InterpretationDiscussion

Data analysisReporting

h3p://wespot.net  

Page 29: New Patterns for ADL Architectures and Learning Designs

Why is there no reward pattern?

Page 30: New Patterns for ADL Architectures and Learning Designs

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  

Page 31: New Patterns for ADL Architectures and Learning Designs

The Key Challenge

How to connect these activity patterns across several ADL-tools?

Page 32: New Patterns for ADL Architectures and Learning Designs

Architectural Patterns

•  Proxy LMS Pattern •  Personal Hub Pattern •  Integrating Environment Pattern •  Activity Activation •  Shadow LMS Pattern

Page 33: New Patterns for ADL Architectures and Learning Designs

Proxy LMS

Mobler Cards App Ilias E-Portfolio System

LRS LRS LRSSensor Network

Core  Mobler  Cards  Architecture  

Page 34: New Patterns for ADL Architectures and Learning Designs

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)  

Page 35: New Patterns for ADL Architectures and Learning Designs

Mostly  implemented  by  Mobler  Cards  

Integrating Environment

PLE VLE

LRS

LRS

VLE

LRS

PLE  =  Personal  Learning  

Environment  

Page 36: New Patterns for ADL Architectures and Learning Designs

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  

Page 37: New Patterns for ADL Architectures and Learning Designs

Why is there no central LRS?

Log Data

Learning Analytics Engine

Event & Context Handler

XAPIActivity Stream

LRS

Applica%on  Specific  

Page 38: New Patterns for ADL Architectures and Learning Designs

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  

Page 39: New Patterns for ADL Architectures and Learning Designs

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)  

Page 40: New Patterns for ADL Architectures and Learning Designs

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

Page 41: New Patterns for ADL Architectures and Learning Designs

Dr. Christian Glahn http://www.isn.ethz.ch https://github.com/ISN-Zurich/

@phish108  hXp://slidesha.re/phish108    

hXp://lo-­‐f.at/glahn