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acawriter

Academic Writing Analytics

alasi2018-writinganalyticworkshop

Jupiter Notebook codes

arguman.org

Argument analysis and mapping platform

athanor

rhetorical parsing library

athanor-server

Rest API for Athanor

athanor4s

beyondlms

A set of pages devoted to building LA beyond the LMS

boxplotr.shiny

shiny application to generate box plots with R

canvas-data-aggregator

Shell script for getting data from Canvas using Access Token

canvas-extract

LA-API: Canvas extract discussions, groups

canvas-quizzes-extract

LA-API Canvas extracts

canvasdashboard

Canvas Dashboard

clatoolkit

The Connected Learning Analytics toolkit (new django architecture, superseeding https://github.com/kirstykitto/CLAtoolkit-oldPrototypes)

clatoolkit-wp

WP Plugin to integrate sites with the CLA Toolkit

clatoolkitv2

Connected Learning Analytics - new architecture version 2

corpus-analysis

A selection of scripts, data structure docs, and metadata associated with AWA corpus analysis

dashboards-la-api

Frontend to connect an api data visualisation

goingok

Full stack version of GoingOK based on Play, ScalaJS

goingok-client

An Angular client for GoingOK.org

graphql-la-api

handbookscrape

Python Repo of work for iLab1 (Master of Data Science core subject)

lrs-mongo

LA-API: Move xAPI statements from LRS to mongoDB

noisy-sheet

Noisy sheets is an add-on that works in google spreadsheets, which allows users to: add noise to a dataset; share the unique datasets with a student cohort; and calculate function results for the students' versions of the data.

ontask-la-api-integration

Pre populate ontask with Canvas data pulled from LA API

ontask_b

A platform offering teachers and educational designers the capacity to use data to personalise the experience for the learners.

ontaskify

stds-apis

A GitHub repo for Statistical Thinking for Data Science students to learn how to use git, while storing code and docs about working with APIs

tap

Text Analytics Pipeline (TAP)

tap-api

A streaming version of the text analytics pipeline

tap-jupyter-notebooks-python

Contains Jupyter notebooks written in Python which connect to the Text Analytics Pipeline (TAP) and generates writing feedback for a sample piece of writing.