Flow of Computer Science
Flocs is a Python and a NPM package of components for adaptive learning of computer science aiming at creating a flow experience. It provides models, techniques, simulations and visualizations. Flocs is developed by Adaptive Learning group at Faculty of informatics, Masaryk university.
>>> from flocs.actions import StartSession, StartTask
>>> from flocs.store import Store
>>> from flocs.state import default
>>> store = Store(state=default)
>>> a1 = store.add(StartSession())
>>> student_id = a1.data.student_id
>>> a2 = store.add(StartTask(student_id=student_id, task_id='three-steps-forward'))
>>> print(store.state.task_sessions)
TaskSession entities:
* TaskSession(task_session_id=UUID('...'), student_id=UUID('...'), task_id='three-steps-forward', solved=False, ...)
>>> print(store.state.actions.order_by('time'))
Action entities:
* Action(action_id=UUID(...), type='start-session', ...)
* Action(action_id=UUID(...), type='start-task', ...)
Python flocs package can be installed with:
pip install flocs
Essential links:
