The following is for educators and course administrators
Everyone in the Team can help by contributing answers. With the default configuration of QBot, the user who asked the question OR the educator can select the correct response.
In the channel > Post Tabs
We should always ask students to post their questions in the right channel, however the knowledge base is common across the module, so it doesn’t really matter.
When a student detects a wrong/poor answer, they can select ‘tag admin’. The student can also provide a new answer. When the student selects ‘tag admin’; the lecturer has the opportunity to provide a new answer.
With origins in data mining, artificial intelligence, and educational technology, learning analytics focuses on the collection and measurement of The lecturer is not expected to answer questions that are ‘off topic’ however they may consider using these questions as an opportunity to develop a personality for their bot.
In this case, QBot can always be tagged in a reply. Then, QBot will recognise the first post as a question.
Yes – and they should be encouraged to do so by lecturers.
QBot has access to the student’s information and uses AI to detect which educator should be sent the question.
The educator can’t edit a student’s answer, but can comment and supply the correct answer, based on the student’s answer.
Yes, the educator can see all responses to a question.
QBot is based on natural language processing. The question does not need to be exact to get a response. For QBot to return a response, the confidence score needs to be above a certain threshold. You can view the confidence score with each of QBot’s responses.
Just tag @QBot and then ‘help’ in the relevant team and QBot will provide further information. QBot automatically provides further help if a user incorrectly tags QBot as well.