The project will set up a Learning Record Store to store the learning data of students using learning resources. Partner HT2 are the creators and sponsors of the open source Learning Record Store (LRS) Learning Locker and will be responsible for this output.
Student activities within xAPI-enabled learning resources generate statements (e.g. “student x viewed video y”). These are sent to an LRS. The LRS is simply a repository for learning records that can be accessed by an LMS or a reporting tool. An LRS can live inside an LMS, or it can stand on its own. See http://tincanapi.com/learning-record-store/ for a further description of an LRS. The xAPI standard allows for the LRS to store nearly everything, which means better reporting and a much more accurate picture of learners.
During a pilot phase, test data will be collected and explored with statistical and existing process mining techniques, mainly for descriptive aims. The partners will exchange results on their different cases data and a report will be written by P1 and P2. This will allow implementing a solid and validated data collection system in the actual student-tracking phase.
For the collection of learner data, xAPI statements referring to students’ interactivity with the learning tools will be defined and learner tracking will be implemented in the LMS independent learning tools. xAPI statements are defined as by ADL “a simple construct consisting of <actor (learner)> <verb> <object>, with <result>, in <context> to track an aspect of a learning experience. A set of several Statements may be used to track complete details about a learning experience. This model of xAPI statements developed by the project will be generally applicable or can serve as an example to other language courseware/online tools/educational games/social networking sites etc. also used within the project’s or other educational programmes.
Questions to be addressed by the data tracking are How do students use the resources (order of use, use of audio/video and help functions, number of attempts, use of audio, video, help functions, …), which learning patterns can be revealed (linear or self-composed learning path, use of exercises vs. theory, distribution of contents used and popular/difficult contents) and can specific success factors in using the online tools be identified?
Before starting the student-tracking phase, the partners will investigate the conditions for respecting data ownership and the methods to anonymise the data, so that non-ethical uses are excluded. Clear instructions to the students will be prepared explaining for which purposes the data will be used (and will not be used). The datasets collected throughout the tracking phase will be an important project output and will be the basis for the outputs directly used by the end users, among which the recommendations for the use of learner analytics, the report about success factors in online learning and the dashboard applications.
Also based on the process mining of data obtained with 2 different data collection methods, online learner types and learning patterns will be identified which will be described in a report. The results will be communicated to the target groups in order to help students understand their own learning behaviour and learn about learning preferences. The report will also inform the selection of information to be displayed on the student and teachers dashboards.
Analysis of success indicators (learning behaviour of successful students according to exercise grades and exam results) and predictors of withdrawal or failure, which can possibly be identified from the data analysis. The results will be communicated to the target groups in order to help improve online learning and teaching.
The testing of the dashboard applications with students in a second tracking period will result in new datasets that will be analysed to evaluate how students use the application and which changes in uses can be observed. This will result in a number of findings that will be described in a report and be used to make the necessary changes to the final products.