OLM Training Examples
Open learner models (OLMs) show learners’ current understanding or competencies. The visualisation of the learner model adaptively updates, to present the current competencies or knowledge state of the learner. Learner models are built up over time and information may be gathered from a variety of sources. Information (inferences about student understanding) may come from:
- teacher input (scores/ratings, strengths, guidance)
- student self-assessments (scores/ratings, strengths, difficulties)
- student peer-assessments (scores/ratings, strengths, suggestions)
- other assessment tools within the project (e.g. ProNIFA), or external tools (e.g. OLMlets), or quizresults (e.g. Moodle)
Viewing the learner model may be useful for:
- identifying student competencies, strengths, and weaknesses
- planning future learning
- focusing learning
- promoting metacognition (reflection, planning, (self-)monitoring)
- encourage learner independence
- facilitating interaction between learners, teachers, and peers
- supporting assessment, providing formative assessment opportunities
Information is available at different levels of abstraction: competencies, individual students, groups, activities, units of work, or subjects. The information in the learner model is available for inspection by teachers, learners, and their peers. Several types of visualisation are provided to support inspection of the learner model.
Get free access to the OLM tool.
Get free access to all NEXT-TELL training content at the NEXT-TELL Moodle.