Nelson Mandela: A Walk of Remembrance

We play the role of iimbongi (Xhosa praise poets) in our project. Nelson Mandela was a Xhosa man who came from the Eastern Cape, not too far from where we live. We felt that it was important to honour him in the traditional way of the Xhosa people. Our umbongo (poem), is spoken in Xhosa and has an English translation available for those that do not understand...

A traditional praise poet...

Praise poetry of the Xhosa

Imbongi - Wikipedia

Welcome

Planning, Apps & Websites Used

Keynote: The planning phase of the project was done using Keynote. Images were taken from the internet and other important facts and dates were added to the Keynote presentation.

Canva: Videos and images were created and edited mainly using Canva.

Reality Composer: The timeline was made more interactive and augmented using the Reality Composer app (*Unfortunately, we discovered that it is not possible to export and save an entire Reality Composer project with multiple scenes - our goal was to share the project so that all may enjoy the "Walk of Remembrance" Timeline. *)

Google Earth: A Google Earth Project was created to make the places of interest in Nelson Mandela's life more interesting and engaging.

Padlet: The important images and Reality Composer project have been saved and shared via Padlet - this is to ensure that people from all over the world are able to create their own version of the Timeline.

YouTube: Videos of Nelson Mandela's famous speeches were found on YouTube, we used a downloader to isolate essential parts of these speeches and downloaded them as MP3s (which we used in Reality Composer).

Google Arts & Culture: Additional resources and information were found using the Google Arts & Culture app.

QR Monkey: We used QR Monkey to create the various QR codes used throughout the project.

Media Converter: We needed to use the Media Converter app to convert our voice notes to Mp3 format so that the Adobe Podcast program could enhance them.

Voice Memos: Many of the voice notes done in the project were made using the Voice Memos app.