After a long rather inactive period on langui.ch, all the corpus tool entries in the database have been updated. The following sort order should enable visitors to figure out which projects are still actively developed and which projects are no longer maintained:
[Last update: 07/08/2023] (work in progress)
Simplest possible form1 to enter your first MC question:
Simplest possible form to enter your first MC question:
Simplest possible form to enter your first MC question:
Simplest possible form to enter your first MC question:
Simplest possible form to enter your first MC question:
1 It would be possible to disable the HTML editor and only display text fields, but you lose the ability to include pictures/media in your questions.
Respondus 4.0® is a powerful tool for creating and managing exams that can be printed to paper or published directly to Canvas, Blackboard, Brightspace, Moodle, and other learning systems. Exams can be created offline using a familiar Windows environment, or moved between different learning systems. Whether you are a veteran of online testing or relatively new to it, Respondus 4 will save you hours on each project.
https://web.respondus.com/he/respondus/ [accessed: 27/05/2023]
https://ois.atu.edu/2018/08/respondus-4-0-test-creator-update/ [accessed: 27/05/2023]
Review:
This is a DLH (Digital Learning Hub, canton of Zurich) funded project, focussing on physics exercises which will result in slightly different values being displayed for each and every student (question type: Formulas with interactive JSXGraph3 graphs), making cheating / copying (home)work really hard and encouraging individualised practice. In addition, the STACK/STACK4 question types are explored.
Project description (in German):
https://dlh.zh.ch/hubnews/143-projekte/projekte-vorstellung/555-zufallsuebungen-physik
Demo moodle implementation (in German):
https://phys.bzu.ch/mdl/course/view.php?id=33
Class: I1b (KSH)
17 April 2018 – 20 April 2018
Recent collection of text processing tools: http://textprocessing.org/
Extremely promising new Python NLP tool: spaCy (commercial open-source software):
Unfortunately, it is only able to deal with English input at the moment and installation on Windows seems to be tricky. The project is currently under intense development and it will be interesting to check the following links on a regular basis:
License: AGPLv3 (free for open-source projects), changed to MIT License (27 Sep 2015)
Source: http://spacy.io/index.html#detailed-speed-comparison [accessed: 24/07/2015]
