2010 crc showcase - workforce development - e-learning for rail p4.110
TRANSCRIPT
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?