AssessMediaWiki
This page is kept for historical interest. Any policies mentioned may be obsolete. As of 2022, homepage and source code URLs are non-functional. |
AssessMediaWiki is a project for creating a web application tool which assists teachers on assessing Wiki projects's activity of students according to personalized criteria, based on MediaWiki. This project is an open-source project, all the development has been carried out using an open-source code repository, particularly the RedIRIS Community Open Knowledge Forge.
Background
editAlthough there are lots of extensions to the MediaWiki system, no one of these extensions assess single wiki contributions. Most of the approaches simply offer different ways to assess a certain version of a wiki page (usually the last -actual- revision), not simple editions. Assessing editions eases individual grading, as editions are made by single users.
Features
editAssessMediaWiki implements two different user roles: Lecturer and Student.
Student rol can choose several options:
- Assess a revision
- Check his revisions evaluated
- Have a look at the revisions he has evaluated
Lecturer has another view in the application with more options, such as modifying program settings or checking students's assessments.
AssessMediaWiki output can be manually processed or using a complementary system like CleverFigures for MediaWiki.
Instalation
editGNU/Linux
editBefore installing AssessMediaWiki it is needed to have installed a previous MediaWiki installation, and have access in the database of MediaWiki. For further knowledge of how to do a MediaWiki's installation, please refer to Mediawiki's web.
Create a database for AssessMediaWiki, and an user who will be granted with all privileges about it. In a terminal, write:
% mysql -u root -p
Once inside, execute:
CREATE DATABASE amw_data; GRANT ALL ON amw_data.* TO amw_user@localhost IDENTIFIED BY 'amw_password';
Go to application/config/database.php
and change access's parameters with yur recently created database and user:
$db['default']['username'] = 'amw_user'; $db['default']['password'] = 'amw_password'; $db['default']['database'] = 'amw_data';
Configure the database's access for the MediaWiki installation. Go to application/config/amw.php
and modify the following parameters:
$config["database_mw"] = "mediawiki_db"; $config["username_mw"] = "mediawiki_user"; $config["password_mw"] = "mediawiki_pass";
Now, indicate which users will be lecturer:
// ID of users who will be administrator/lecturer, in this case with ID = 1 and ID = 2 $config["usuarios_admin"] = array(1, 2);
AssessMediaWiki only evaluates in an indicated period of time, in the same file as before, change the dates on:
$config["fecha_inicio"] = "20120301000000"; $config["fecha_fin"] = "20120605000000";
Finally, the installation is completed, and the application can be accessed with any of the administrator accounts by browser. In first instance, the application is in development mode which its purpose is only for experimental use. Put the following parameter in FALSE
in order to make the application fully functional in application/config/amw.php
:
$config["modo_desarrollo"] = FALSE;
Now your AssessMediaWiki is ready for evaluating assessments.
Publications
edit- Antonio Balderas, Manuel Palomo-Duarte, Juan Manuel Dodero, María Soledad Ibarra-Sáiz, Gregorio Rodríguez-Gómez. Scalable authentic assessment of collaborative work assignments in wikis. International Journal of Educational Technology in Higher Education, 2018, 15:40
- Antonio Balderas and Manuel Palomo-Duarte and Juan Manuel Dodero and Iván Ruiz Rube, Qualitative assessment of wiki-based learning processes. Proceedings of SPDECE-2012. Ninth multidisciplinary symposium on the design and evaluation of digital content for education. Pages 161-172. 2012.
- Manuel Palomo Duarte, Antonio Balderas, Juan Manuel Dodero, Antonio J. Reinoso, Juan Antonio Caballero, and Pablo Delatorre. 2018. Integrating quantitative and qualitative data in assessment of wiki collaborative assignments. In Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'18), Francisco José García-Peñalvo (Ed.). ACM, New York, NY, USA, 328-332. DOI: https://doi.org/10.1145/3284179.3284232
- Antonio Balderas, Manuel Palomo-Duarte, Juan Manuel Dodero, María Soledad Ibarra-Sáiz, and Gregorio Rodríguez-Gómez. Scalable authentic assessment of collaborative work assignments in wikis. International Journal of Educational Technology in Higher Education, 15, 40 (2018). DOI https://doi.org/10.1186/s41239-018-0122-1
See also
editExternal links
edit- Official home site (Spanish) (English) (non-functional)
- Source code repository (non-functional)
- Integration with graphical tool "CleverFigures4MediaWiki2