Glossary
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Learner performanceA measure of how well students are learning in terms of knowledge and skills development. | |
Learning analyticsIt is a tool for assessment, interpretation, and analysis of learner-generated data in the online learning environment, in order to make the learning and teaching processes more efficient by the teacher on interventions needed to advise or consult learners in due time to enhance their academic success. (Volungeviciene et al., 2021:12). There are four main categories of learning analytics: (1) descriptive (what happened?); (2) predictive (what will happen next?); (3) diagnostic (why did it happen?); (4) prescriptive (do this to improve). | |
Learning Analytics DashboardLearning Analytics Dashboards are an important subset of learning analytics and refer to the visual representation of the data automatically generated by the system. LADs are data visualisation tools displaying and representing information in a user-friendly way and providing “meaningful and actionable insights at a glance” (Pokhrel & Awasthi, 2021:93). | |
Learning outcomeA specific statement that describes exactly what a student will be able to do in some measurable way. There may be more than one measurable outcome defined for a given competency (Gosselin, 2020). | |
Learning progressionLearning progress describes increasing levels of difficulty and complexity in the acquisition of knowledge, skills and attitudes in a given domain. Teachers have to be able to identify when and how to intervene to move students’ learning forward. | |
LMSLearning management system | |
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MetacognitionA critical component of successful learning, which involves self-regulation and self-reflection of the learning process and controls one’s thinking processes (Medina et al., 2017). | |
Metacognitive decision-makingAwareness of specific teaching and learning design decisions and the reasons behind those decisions (Griffith et al., 2016). | |
MOOCMassive open online course | |