Established and Supported under Australia’s

Cooperative Research Centres Programme

Scoping the potential for e-learning in rail

(P4.108 – complete)

Collaborative e-learning for rail

(P4.110 – commencing 1/10/10)

Dr Karen Becker, QUT

Julie Fleming, CQUniversity

Dr Kieren Jamieson, CQUniversity

Dr Sukie Sawang, QUT

Dr Cameron Newton, QUT

National partnership

SCOPING THE POTENTIAL FOR

E-LEARNING IN RAIL

(P4.108 – COMPLETE)

Aim: To scope different approaches

to e-learning, both outside and

inside the rail industry

Scoping study

Case study

Ten case study organisations

How is e-learning being used?

How effective is e-learning?

What enables e-learning and

what are the barriers?

What can rail organisations

learn from other sectors?

Research framework

Industry/national context

Organisational context

Learning and development

context

Individual employee context

Key implications:

Industry/national context

Opportunities to share e-learning

programs within the industry

Explore the establishment of a

“learning objects repository” and

e-learning forums

Shared understanding about

technologies

Key implications:

Organisational context

Raising awareness and educating

decisions makers on e-learning

Articulating the benefits of e-

learning

Recognise the potential for linking

e-learning with EIS

Access to advice about forms of

e-learning

Key implications:

L&D context

Access to networking and

information sharing opportunities

Virtual networking

Models of approaches to e-

learning to guide decision makers

Link L&D groups with HRD

Specialised staff

Evaluation of e-learning

Key implications:

Individual employee context

More robust data on:

Extent of IT knowledge of

potential learners

Learner preferences and what

influences these preferences

Perception of e-learning from

employer and employee

perspective

Overall conclusion -1-

The industry stands to gain a

great deal from taking a more

collaborative approach to the

use and adoption of e-learning.

Overall conclusion -2-

There is a need for:1. Improved data on workforce capability

2. Data on perceptions of e-learning

3. Identification of ways to hare e-learning

resources

4. Identification of the most appropriate

technologies

5. Identification of ways to share existing

knowledge and skills

6. Documentation of clear models

7. Specific emphasis on identifying appropriate

methods of e-learning

COLLABORATIVE E-LEARNING

FOR RAIL

(P4.110 – COMMENCING 1/10/10)

E-learning for rail

The aim:

Provide a validated measure of

abilities and attitudes relating to e-

learning (readiness)

Provide a detailed analysis of current

e-learning technology and usage best

practice

Develop specifications for shared e-

learning resource

Pilot an e-learning object

The intended outcomes

Sharing of costs of development

and implementation of e-learning

Access to industry-specific

information on e-learning skills

and attitudes

Establish a shared collective

knowledge, expertise and

resources

Research methodology

1. An e-learning climate and

aptitudes survey

2. Ongoing scanning and

collection of external e-learning

technology and resources

3. Portal intervention

4. Collaborative learning trial

Thank you.

Questions/comments?