Beluga Learning - 'LATTE' (Learning Analytics Through Touch-based Education)

点击翻译按钮获取中文摘要

In the Learning Analytics Through Touch-based Education (LATTE) Project research will beundertaken into the collection, collation and analysis of learning metrics e.g. user responseand interactions. These metrics will be derived from information gathered from a free,learning ‘app’ targeted at Key Stages 2-4 education in Mathematics. The ‘app’ will presenttouch-based, Mathematical, formative learning activities to learners. The correspondingresponses and actions of the learners to these activities are reported to a remote analyticsengine. This information is analysed to provide a wide range of metrics to characterize theperformance and capabilities of the learner in the context of the peer group on a local,regional, national and international scale. The realisation of this capability requires researchinto:1) the analytics-oriented generic content model that will be used as the basis for determiningprogress through the content (the model must be capable of reflecting any content created forthe subject matter);2) the new algorithms that are required to map the touch-based actions into the correspondinglearning activities presented through the content;3) the new algorithms used to analyse the learning activity data to identify the strengths andweaknesses of the learner with respect to the learning objectives and expected outcomes (theaim is to look for hidden correlations, to include historic data acquired from prior learningactivities, to determine pedagogic relevant measurements and to demonstrate learningprogress against learning standards).The key deliverable will be a Proof-of-Concept (PoC) demonstration to show that it is possibleto:1) create a touch-based learning content ‘app’ from which key state information can bereported;2) analyse the data and create appropriate metrics from which it is possible to describe thecapabilities of the learner; and3) analyse the data to track learning progress against learning standards.