Within the TALOE (Time to Assess Learning Outcomes in E-learning) project, a web tool is developed with the aim to help teachers in deciding on the e-assessment strategies and better relating to the learning outcomes with assessment methods. The tool is tested, finalised and is open to public.
The TALOE web tool is developed to help teachers and trainers decide on the assessment strategies to use in their online courses. The tool is envisaged to be used by teachers either to check if the existing assessment methods of their course or module are in line with the stated learning outcomes or to be advised on the most appropriate assessment methods for a new course or module. The decision engine is based on the ALOA model and consists in the estimation of a score as a measure of the best matching between the cognitive processes submitted by the user and the specific ones of a given assessment method.
The web platform also provides support and guidance to teachers to formulate the learning outcomes in accordance to Bloom taxonomy increasing this way the accuracy of the outcome received from the tool. It was tested using collected case studies in order to assess the accuracy of the decision engine. The testing process is documented and a combined report is available about the results of the analysis. Read more about the platform in the latest TALOE Newsletter.