GitHub
Please find the GitHub repository for this project here.
Documentation
The documentation for this project can be found at the following link: https://truelearn.readthedocs.io/en/latest/
Development Blog
Please find the development blog for this project here.
Monthly Videos
December 2022
January 2023
February 2023
March 2023
License
Please find the license for this project below which is also available here.
MIT License
Copyright (c) 2023 TrueLearn authors
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
---
Some of TrueLearn's functionality is derived from externally maintained libraries, including:
- scikit-learn, licensed as follows:
"""
BSD 3-Clause License
Copyright (c) 2007-2022 The scikit-learn developers.
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
* Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
"""
Privacy Policy
TrueLearn does not collect or share any personally identifiable information. Due to its privacy centric nature no data must be retained as learning event data does not need to be stored after training.
Definitions
A Learning Event consists of a topic name and timestamp when that topic was last watched by the user.
Information Collected
Learning Events
When a learner watches a transcribed video, the transcript is pre-processed to determine the topics in that video. The topics in the video and the timestamp of when that video was watched forms a learning event. These learning events are then passed to the Classifiers to conduct training to refine their assumptions about the learner’s knowledge, with no additional information required. The default behaviour is to not retain this information however it is up to the discretion of the developer whether learning events are stored or not.
Usage of Information
The developer may choose to store the history of learning events to construct visualisations that demonstrate how the learner’s knowledge has progressed overtime. However, importantly no other information other than Learning Events are needed to provide this functionality.
Information Shared
No information is shared between parties, TrueLearn does not collect any data itself. Affiliated collection of data is done only by users of the library to store Learning Events.
Retention of Information
Retention policies of learning events are at the discretion of the developer using the library to implement, please see their privacy policy for more information.