Voting for the Top Tools for Learning 2019 – the 13th Annual Digital Learning Tools survey is now open and will close mid-day GMT, Friday 13 September 2018.
Jane Hart will once again be compiling a list of the Top 200 Tools for Learning as well as 3 sub-lists:
- Top 100 Digital Tools for Personal & Professional Learning 2018 – ie. the digital tools used by individuals for their own (self-organised) learning and self-improvement – inside and outside the workplace.
- Top 100 Digital Tools for Workplace Learning 2018 – ie. the digital tools used to design, deliver, enable, support learning in the workplace
- Top 100 Digital Tools for Education 2018 – ie. the digital tools used by educators and students in schools, colleges, universities, adult education etc.
Results will be released: 8 am GMT, Monday 23 September 2018
How to vote – There are a number of ways to vote for your favourite tools:
- Use the online form below. (Please note each entry is manually validated.)
- Email your 10 tools to firstname.lastname@example.org with indication of where you work
- Tweet your 10 tools to @C4LPT with indication of category/ies above (ie 1,2 and/or 3)
- Write a blog post about your choice and send the link to Jane Hart.
- A valid entry needs to include 10 different digital tools – listed in ANY ORDER. Note, an entry with fewer than 10 different tools will not be counted.
- Please name 10 specific digital products rather than generic digital technologies (e.g. “Blogger” or “WordPress”, rather than “blogs” or “blogging”).
- Note that a vote for Microsoft Office of Office365 will be split over Word and PowerPoint, so please vote individually for these Office tools, i.e. Word, Powerpoint, Excel, Outlook etc.
- Note that a vote for Google will be a vote for Google Search, so if you want to vote for other Google tools, you will need to name them individually, e.g. Google Docs/Drive, Google Scholar, Google Maps, or Google Suite (for the badged collection of Google apps)
- Finally, votes are accepted only at the discretion of the Centre for Learning & Performance Technologies. All votes will be manually processed and although we do not collect any personally identifiable data, we will capture your IP address to prevent multiple voting.