121
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

Investigating digital video applications in distance learning

, , , &
Pages 125-137 | Published online: 06 Aug 2006
 

Abstract

The paper gives a brief overview of the use of digital video in distance education, the background to The Open University's Digital Video Applications (DiVA) Project, the contexts in which the Digital Video Library system is being used and some evaluation findings. Through DiVA, the university is investigating how it can use its video assets effectively, to support reuse of existing materials in course production. The project team is also evaluating student use of the system. The paper reports on an observation study which revealed several usability issues and stakeholders' opinions about potential uses of the DiVA system. This is followed by findings from an evaluation of student use of the system at a residential school and its use as part of an online learning activity undertaken by students accessing the system remotely. Evaluation findings to date indicate some quality and workload issues but they also show opportunities that come to light when using the DiVA system.

Notes

* Corresponding author. Institute of Educational Technology, The Open University, Walton Hall, Milton Keynes MK7 6AA, UK. Email: a.m.kukulska‐[email protected]

Additional information

Notes on contributors

Agnes Kukulska‐Hulme Footnote*

* Corresponding author. Institute of Educational Technology, The Open University, Walton Hall, Milton Keynes MK7 6AA, UK. Email: a.m.kukulska‐[email protected]

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,143.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.