Non-verbal reasoning tests allow evaluators to test a diverse set of abilities in students without relying upon, or being limited by, language skills. In this paper we present an automated system to generate a variety of non-verbal reasoning questions spanning abstract reasoning, non-verbal analogy and spatial reasoning question types with granular control over difficulty levels. Our design also generates meaningful distractors as this is an important aspect of generating better quality multiple-choice questions. We present experimental results through analytics on question feedback and performance that demonstrate that the system-generated questions indeed serve to assess and hone non- verbal reasoning skills.
The website is currently hosted here
It is preferable to run the application within docker to ensure all dependencies are met.
# clone the repository
git clone https://github.com/hardiksurana/non-verbal-reasoning.git
# enter project root directory
cd non-verbal-reasoning
# setup virtual environment
pip2 install virtualenv
virtualenv -p python2.7 venv
# activate virtual environment
source venv/bin/activate
# install dependencies
pip2 install -r requirements.txt
# enter into hosted/local mysql instance
mysql -h <HOST_NAME> -P <PORT_NUMBER> -u <USER_NAME> -p
# create a database using the dump file in the mysql shell
mysql> source <PATH_TO_DB_DUMP>
# start gunicorn web server in another terminal
venv/bin/gunicorn application:app -b 0:8000 --access-logfile '-' --worker-class gevent
# or, use pre-set configurations
venv/bin/gunicorn --config ./app/src/gunicorn_conf.py application:app
# Run the docker container locally to test
docker build --tag nvrquiz_docker_image .
# access the web application on http://0.0.0.0/
docker run -p 80:8000 nvrquiz_docker_image- Create a 'Web App for Containers' in Microsoft Azure - link
- Deploy to Docker Hub instead of Azure Container Registry
- Create a MySQL database in AWS - link
- Giri Bhatnagar
- Akshay Shrivastava
- Hardik Mahipal Surana
Dr. Gowri Srinivasa