New Topologies for Learning - PowerPoint PPT Presentation

About This Presentation
Title:

New Topologies for Learning

Description:

Josie Taylor, The Open University. Kings College, London Feb ... Divinity using key assets. Midgealert models & maps. Josie Taylor, The Open University ... – PowerPoint PPT presentation

Number of Views:53
Avg rating:3.0/5.0
Slides: 53
Provided by: josiet2
Category:

less

Transcript and Presenter's Notes

Title: New Topologies for Learning


1
New Topologies for Learning
  • Tim OShea
  • Eileen Scanlon

2
Peter Drucker in Forbes 97
  • IT Progress will mean the end of the residential
    university by 2030 AD
  • replaced by personalized technologies for
    learning.

3
Talk Structure
  • Ideal Next Generation Providers
  • Actual Next Generation Providers
  • History of eLearning
  • Recent Technological Innovations
  • Nice Exemplars
  • Themes Issues
  • Reasons for Optimism

4
The Ideal
  • Comprehensive Online Curriculum
  • Personalised Support
  • Peer Learning Cohorts
  • Integrated Admin Learning
  • Mobile Blended Modes
  • High Integrity
  • Respected Degrees

5
Major Universities
  • Research Led Learning
  • Digitising Intellectual Assets
  • Extending Curatorial Role
  • Weak on Integrated Admin
  • Weak for Remote Students
  • Struggling with Assessment
  • History of Awarding Degrees

6
Other Providers
  • More Responsive Flexible
  • Closer to New Tech
  • Cross Borders more Easily
  • Integrated Solutions
  • No Researchers or Curators
  • Very Limited Assets
  • Value of new Awards?

7
Taxonomy of models
  • Using psychological models of learning to
    classify different approaches to e-Learning,
    technology enhanced learning, computer assisted
    learning

8
Models
  • Reinforcement
  • Association
  • Feedback
  • Programming
  • Developmental
  • Symbolic
  • Collaborative
  • Environmental

9
  • One can predict that in a few more years millions
    of schoolchildren will have access to what
    Philip of Macedons son Alexander had enjoyed as
    a royal prerogative - a tutor as well-informed
    and responsive as Aristotle.
  • Pat Suppes 1966

10
(No Transcript)
11
Enhancements to Learning
  • Special properties computers can contribute to
    enhance quality of learning

12
Enhancements
  • Visualisation
  • Diagnosis
  • Remediation
  • Reflection
  • Memory Prostheses
  • Tackling the Hypothetical
  • Time Travel
  • Autonomy
  • Pacing
  • Motivation
  • Redundancy
  • Group Working
  • Scaffolding
  • Access
  • Knowledge Integration

13
  • People are driven by a will to mastery
    (challenge), to seek optimally informative
    environments (curiosity) which they assimilate,
    in part, using schemes from other contexts
    (fantasy)
  • Malone/Piaget

14
Technology Drives
  • Moores Law
  • World Wide Web
  • RFID Portable OOPS
  • VoIP
  • VLEs
  • Constant Connectivity
  • 3D Virtual Realities

15
Recent Events
  • 1Bn Internet Users
  • 25 read Blogs
  • 10 Bn Google uses/day
  • Wikipedia v Brittanica
  • YouTube (videos)
  • MySpace (egos)
  • SunSPOT Specks

16
Edinburgh Exemplars
  • Range of Contexts
  • Digimap/EDINA/JISC
  • eScience (with Glasgow)
  • High Performance (CCLRC)
  • Digital Curation Centre (GB)
  • Divinity using key assets
  • Midgealert models maps

17
(No Transcript)
18
(No Transcript)
19
(No Transcript)
20
(No Transcript)
21
(No Transcript)
22
(No Transcript)
23
(No Transcript)
24
(No Transcript)
25
Scott McNeally 04
  • Book are so last Millenium

26
The Library has a new federated search service
which provides a Google-like search of Library
indexes and full-text databases both commercial
services taken on subscription, and databases we
have built ourselves
27
We can select a subject cluster, as here, a
Quicksearch, or to search against all
(currently 300) databases, using a keyword or
keywords
28
Results take only a few seconds, even for
searches against a large numberof databases.
Here we have only searched locally-created
databases
29
Search results can include images we have
digitised and catalogued
30
And coming soon an enriched presentation of
the LibraryCatalogue, amazon-style
31
(No Transcript)
32
Digitised Library treasures are made available in
undergraduate and postgraduate courses
33
(No Transcript)
34
(No Transcript)
35
(No Transcript)
36
Objectives/Aims
  • LeActiveMath aims at advancing e-learning
    technology by developing innovative technology
    and by integrating advanced tools and components
    in one open, service-based system. The progress
    is evaluated in realistic learning settings1.
  • The benefits for students using LeActiveMath
    include
  • Learning material tailored to the students' needs
    and interests. The personalization is
    pedagogically/cognitively justified.
  • Students can work interactively with tools, take
    the initiative and self-regulate learning, e.g.
    in interactive exercises, in tutorial dialogues,
    in choosing learning settings and include
    learning objects, and searching for learning
    objects and interactive exercises. 
  • Students can inspect their learner model and
    negotiate modifications. These meta-cognitive
    activities will support acceptance and
    self-monitoring. Since the learner model includes
    beliefs not only about the student's competencies
    but also about motivational variables, the system
    can adapt the feedback, dialogues and the user
    interface to the learner's motivation.
  • Students can communicate in their own words in
    the dialogue.

37
Table of Contents
Definition
A Book
A Chapter
Example
A Page
Note
38
Tutorial Dialogue
Student types a statement
Adds math formulae
Sends statement
Statement is added to dialogue and the system
responds.
Response explains concepts and sets further
exercises.
39
Mastery colours represent the users knowledge
for the content of each page.
If the user hovers the mouse over these mastery
colours a percentage knowledge value is displayed.
LeAM estimates user knowledge based on their
performance on exercises.
These beliefs are based on mathematical concepts
not just content. As these concepts are shared by
different pages the mastery colours propagate to
pages that the user hasnt even viewed yet.
This allows the user to see what the already know
and what they still have to learn.
40
(No Transcript)
41
Navigation Support
  • Where am I in this information space?
  • Is it really a 2D space, tree, network lattice?
  • Who is also active in the space?
  • How can I plan next weeks route?
  • How can I travel between spaces?
  • How can I travel in parallel?

42
Virtuality
  • Value reduces memory load, structures
    experience, easier to use and retrieve use
  • Key metaphor Direct manipulation
  • Virtual Microscope
  • Virtual Summer School
  • Virtual University
  • Virtual Reality
  • Virtual Library

43
Themes
  • Technology Push
  • Globalisation Pull
  • Blended Learning
  • Intellectual Asset Management
  • Personalisation Podcasting
  • Assessment Authentication
  • New Learning Topologies

44
Issues
  • Security Identity Management
  • Object Economy (di Sessa ILE 2004)
  • No Significant Difference (Kim on 3D)
  • Digital Divide/Disconnect
  • Interoperability
  • OpenStandards
  • Robust Assessment Models

45
(No Transcript)
46
Next generation spaces virtual worlds
Second Life
47
Next generation spacesintegrating web 2.0 with
the VLE
wikis
48
Next generation spacesintegrating web 2.0 with
the VLE
socialbook-marking
49
Next generation spacesintegrating web 2.0 with
the VLE
blogging
50
Next generation spacesintegrating web 2.0 with
the VLE
social software
51
Grounds for Optimism
  • Past Predictions Turing, Bush, Moore, Kay
  • Robust Sector WorldCOM, WebCT, ICL
  • Students using Google
  • University of Highlands Islands
  • RCA Annual show multiple modalities
  • Earth Lab
  • JISC JANET
  • Actual Practice Edinburgh/Stanford/MIT

52
Acknowledgements
  • Jeff Heywood
  • David Dewhurst
  • Rachel Ellaway
  • Sian Bayne
  • Sheila Cannell
  • Jane McCloskey
  • Simon Jennings
  • Many Others _at_ UoE
Write a Comment
User Comments (0)
About PowerShow.com