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Work on grading service for Textbook/Learning platform #25
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FYI @pandasa123 |
Content creators also include university professors etc. This is one of the most highly anticipated features for the platform |
This sounds very interesting to me, as a full-time developer for IBM Cloud I have great experience developing APIs, and large-scale applications. Would like to contribute to this. let's connect. |
HI @vabarbosa Do you want to connect sometime? Project sounds interesting. |
@AshwinKul28 thank you for your interest! i will be sending you an invite to discuss further. |
HI @GemmaDawson I have got assigned to this issue. Will be working with @vabarbosa and the team. :) |
Please add your Checkpoint 1 presentation materials. |
HI @GemmaDawson, sorry I really missed your mail in the sea of emails. |
Here's Presentation material for the checkpoint 1: cc - @vabarbosa |
Checkpoint 2 Update
The current approach is to take input in the form of the python textbook and then render it on the UI. But ofcourse that's not scalable. Hence we've come up with a more scalable approach where questions can be added/removed/updated dynamically, basically we have introduced CRUD operations on the question as an entity.
All the above operations are completed with the implementations, And we have started work on the UI as well. FYI - @vabarbosa @GemmaDawson |
@AshwinKul28 - please upload your Final Showcase presentation materials, and if needed, update the project Title and/or description. |
QAMP_Final.pptx HI, @GemmaDawson Here's the final presentation material, and I cannot attach the video here as its too big. I have sent final video on the slack. Thanks |
Congratulations on completing all the requirements for QAMP Fall 2022!! 🌟🌟🌟 |
Description
The Qiskit Textbook/Learning platform is a resource for learning and teaching about quantum computing. To further enhance the learning experience the platform provides multiple choice questions and coding exercises as a means to evaluate the reader's grasp of the content.
The goal of this project is to build up and further improve the current grading service to make it easier for content creators, university professors, etc. to create questions and exercises and automate the validation of the answers. This is one of the most highly anticipated features for the platform!
Deliverables
The output of this project will be
Mentors details
Number of mentees
1
Type of mentees
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