Code: 4.2
Analysing evidence
To generate, select, critically analyse and interpret digital evidence on learner activity, performance and progress, in order to inform teaching and learning.
Code: 4.2
To generate, select, critically analyse and interpret digital evidence on learner activity, performance and progress, in order to inform teaching and learning.
I do not or only very rarely refer to digitally recorded data to understand where my students stand.
Making little use of digital data for monitoring progress.
I evaluate administrative data (e.g. attendance) and data on student performance (e.g. grades) for individual feedback and targeted interventions. I am aware that digital assessment tools (e.g. quizzes, voting systems) can be used within the teaching process to provide me with timely feedback on learners’ progress.
Evaluating basic data on learner activity and performance.
I evaluate the data resulting from digital assessments to inform learning and teaching. I am aware that the data on my learners’ activity, as it is recorded in the digital environments which I use with them, can help me monitor their progress and provide them with timely feedback and assistance.
Evaluating a range of digital data to inform teaching.
I use digital technologies (e.g. quizzes, voting systems, games) within the teaching process to provide me with timely feedback on learners’ progress. I use the data analysis tools provided by the digital environments I use to monitor and visualise activity. I interpret the data and evidence available in order to better understand individual learners’ needs for support.
Strategically employing digital tool for data generation.
I continuously monitor digital activity and regularly reflect on digitally recorded learner data to timely identify and react upon critical behaviour and individual problems. I evaluate and synthesize the data generated by the various digital technologies I use to reflect on the effectiveness and suitability of different teaching strategies and learning activities, in general and for certain learner groups.
Using digital data to reflect on learning patterns and teaching strategies.
I implement advanced data generation and visualisation methods into the digital activities I employ, e.g. based on learning analytics. I critically assess and discuss the value and validity of different data sources as well as the appropriateness of established methods for data analysis.
Innovating data generation and evaluation.