Kukulska-Hulme, Agnes and Pettit, John
PDF (Accepted Manuscript)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
|Google Scholar:||Look up in Google Scholar|
A major barrier to the uptake and integration of new technologies in teaching and learning is the lack of personal experience of mobile learning on the part of those involved in teaching and in the preparation of materials and methods of learner support. Our project addresses this by introducing forty academic and support staff to the use of smartphones to support their own learning, within a semi-formal community structure and with a focus on their personal and professional development. We set out to explore whether the smartphone would act as a catalyst, heightening interest in professional development, encouraging exploitation of relevant resources, and promoting dialogue amongst the staff members involved. The paper considers the idea of 'self-service' education, whereby learners are in charge of what they want to learn but may still require some form of support. The peer learning community aspects of the project are foregrounded, consisting of workshops, clubs, a buddy system and online environment. A two-stage process gave us the opportunity to reflect on one group's experience and rethink arrangements before a second group started. We show how fine-tuning a particular professional development opportunity gives insights into the best ways to make use of limited resources.
|Item Type:||Conference Item|
|Copyright Holders:||2007 The Authors|
|Academic Unit/School:||Learning Teaching and Innovation (LTI) > Institute of Educational Technology (IET)
Learning Teaching and Innovation (LTI)
|Interdisciplinary Research Centre:||Centre for Research in Education and Educational Technology (CREET)|
|Depositing User:||Wendy Hunt|
|Date Deposited:||05 Jun 2009 09:52|
|Last Modified:||10 Feb 2017 06:46|
|Share this page:|
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.