Celebrating excellent research and practice in Learning Technology
The ALT Learning Technologist of the Year Awards celebrate and reward excellent research and practice and outstanding achievement in Learning Technology. Established in 2007, the Awards have established a benchmark for outstanding achievement in Learning Technology on a national scale and attract competitive entries from the UK and internationally. All entries are reviewed by an independent judging panel chaired by the President of ALT.
About the Awards
Award categories
The following award categories will be awarded:
- Learning Technologist of the Year (individual)
- Learning Technologist of the Year (team)
- Learning Technology Research Project of the Year
Judging panel
The expert panel of judges is chaired by David White, President of ALT. The panel represents expertise from different sectors and countries, bringing together a wealth of experience in Learning Technology.
Team Award Judges:
- Matt East, Talis Education LTD
- Neil Hughes, University of Nottingham
- Bob Harrison, University of Wolverhampton/Northern College
- Rosemarie Mcllwhan, Heriot-Watt University
- Louise Rowland, Ufi VocTech Trust
Individual Award Judges:
- Richard Harris, Raynes Park High School
- David White, University of the Arts London
- Lorna Campbell, University of Edinburgh
Research Award Judges:
- Michael Flavin, king's College London
- Tunde Varga-Atkins, Centre for Innovation in Education | University of Liverpool
- James Brunton, Dublin City University
-
Santany Vasantu, University of West London
Award Ceremony
The Awards will be presented during the ALT Online Winter Conference, in December. The Ceremony is free to attend and open to all.
Winners of the Awards
You can find out more about the winners of the Awards from previous years here.
How to enter
Entry form
You need to complete all sections of the appropriate online entry form. Entries will be judged on the basis of the information you provide and the evidence you refer to. We acknowledge all entries via email. The closing date for entries is Friday 25 June 2021 for all categories:
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Entry Form A: Learning Technologist of the Year (individual or teams)
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Entry Form B: Learning Technology Research Project of the Year
Short-list
The judging panel reviews all entries and the highest scoring entries in each category are short-listed. All entries will be notified whether they have been short-listed or not in September 2021.
Interviews for short-listed entries
All short-listed entries will be invited for an interview online. Interview dates will be scheduled for late September/early October. Interviews will be 25 min long, and you will be asked to give a 10 min presentation followed by questions from the judging panel.
Finalists
Following the interviews all short-listed entries will be notified and Finalists invited to attend the Award Ceremony. Finalists will be asked to supply a short video (under 3 minutes with subtitles) and supporting information for the public vote deciding the Community Choice Award. The public vote takes place in November.
Judging criteria
Entries are judged (from the completed entry form, and, if short-listed, at interview) in answer to the following criteria and questions:
| Learning Technologist of the Year |
Learning Technology Research Project of the Year |
The judging criteria are informed by the CMALT principles. We include these here for information: |
|---|---|---|
|
What makes your work THIS YEAR an outstanding achievement in Learning Technology? ('this year' refers to the 12 months prior to submitting your entry) |
What makes this research project THIS YEAR an outstanding achievement in Learning Technology? ('this year' refers to the 12 months prior to submitting your entry) |
|
| What makes your/your team's work excellent? | What makes this research project excellent? | A commitment to exploring and understanding the interplay between technology and learning |
| How did you develop and support this achievement? | A clear, credible statement of what methodological approach was taken and which, if any, ethical implications were considered | A commitment to keep up to date with new technologies |
| Strong evidence that your work has made a significant impact on practices within the your or your team's organisation, community, or sphere of influence | Strong evidence that the project made a significant contribution to Learning Technology, including evidence of its impact | A commitment to communicate and disseminate effective practice |
| Clear explanation of how others may learn from your work and what have you done to enable others to do so |
Clear explanation of how others may learn from this research project and what have you done to enable others to do so |
An empathy with and willingness to learn from colleagues from different backgrounds and specialism |