uva-fnwi / iguideme Goto Github PK

Implement analytics with https://matomo.org.

Implement only on wwwroot/public/index.html for a start and deploy.

1. log in to Matomo with your admin or Super User account
2. click on the "administration" (cog icon) in the top right menu
3. click on "Tracking Code" in the left menu (under the "Measurables" or "Websites" menu)
4. click on "JavaScript Tracking" section
5. select the website you want to track
6. copy and paste the JavaScript tracking code into your pages, just after the opening tag (or within the section)

Once that works, implement more detailed analytics (predicted grades, etc.)

See more here https://developer.matomo.org/guides/tracking-javascript-guide.

Het volgende betreft code op de newGradePredictor branch.

Relevante bestanden

Backend:
IguideME.Web/Models/GradePrediction*.cs
IguideME.Web/Models/App/PredictedGrade.cs
IguideME.Web/Controllers/Apps/DataMartController.cs
IguideME.Web/Controllers/Apps/ModelController.cs
IguideME.Web/Services/Workers/GradePredictorWorker.cs
IguideME.Web/Services/DatabaseManager.cs

Frontend:
IguideME.Web/wwwroot/src/common/Admin/sections/grades/GradePredictor/*

Als je twijfelt met wat wat is, vergelijk met de oude predictor (op master), de frontend code layout komt redelijk overeen.

Mocking om het leven makkelijk te maken

De frontend heeft zijn eigen mock features, je kan bijvoorbeeld kijken naar regel 29 in IguideME.Web/wwwroot/src/common/Admin/sections/grades/GradePredictor/ModelConfigurator/index.tsx.
Of regel 26 in IguideME.Web/wwwroot/src/common/Admin/sections/grades/GradePredictor/ModelConfigurator/UploadData/index.tsx.
Ik zou hier gebruik van maken als ik jou was, maar test aan het eind of het ook zonder mocking werkt.

Dit moet nog gebeuren

• Implementeer het opslaan van de modellen in de db. Begin simpel, een model per cursus. De code flow hiervoor is:

1. IguideME.Web/wwwroot/src/common/Admin/sections/grades/GradePredictor/ModelConfigurator/Finish/index.tsx::uploadModel
2. IguideME.Web/wwwroot/src/api/controllers/datamart.ts::uploadModel
3. IguideME.Web/Controllers/Apps/ModelController.cs::UploadModel

• Loop na of de GradePredictorWorker werkt, ik was daar niet aan toe gekomen.

Als er iets is, maak hier een comment, ik denk dat ik alles heb gecovered.

Veel succes!

In the admin, the tab "Notification centre" was never implemented.

The design has not yet been thought out, but the right hand side of the following screenshot (the admin panel) has been approved by Erwin.

This ties hand in hand with the notifications feature (students get canvas inbox notifications about their progress in the course).
That feature is not implemented either, but I made a start and will continue working on it soon.

Notifications

When the student scores one point higher as compared to the peer group, the message “You are outperforming your peers in: ” is displayed. When the student scores half a point lower as compared to the peer group, the message “You are closing the gap to your peer in: ” is displayed. When the student scores one point lower as compared to the peer group, the message “You have to put more effort in: ” is displayed.