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

Beluga Learning -“LATTE”（通过触摸式教育进行学习分析）

• 批准号: 710203
• 金额: $ 12.74万
• 依托单位: BELUGA LEARNING LIMITED
• 依托单位国家: 英国
• 项目类别: GRD Proof of Concept
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=710203
• 关键词: Beluga; Learning; LATTE; Analytics; Through

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.

在通过接触式教育进行学习分析（LATTE）项目中，将对学习指标（例如用户响应和互动）的收集、整理和分析进行研究。这些指标将来自一个免费的学习“应用程序”收集的信息，该应用程序针对数学关键阶段2-4的教育。“应用程序”将向学习者呈现基于触摸的、数学的、形成性的学习活动。学习者对这些活动的相应响应和动作被报告给远程分析引擎。这些信息进行分析，以提供广泛的衡量标准，在当地，区域，国家和国际范围内的同龄人群体中描述学习者的表现和能力。这种能力的实现需要研究：1）面向分析的通用内容模型，它将用作确定内容进度的基础（模型必须能够反映为主题创建的任何内容）;2）将基于触摸的动作映射到通过内容呈现的相应学习活动所需的新算法; 3）新的算法用于分析学习活动数据，以识别学习者在学习目标和预期结果方面的优势和劣势（目的是寻找隐藏的相关性，包括从以前的学习活动中获得的历史数据，以确定教学相关的测量方法，并根据学习标准展示学习进度）。关键交付成果将是概念验证（Proof-of-Concept，缩写为PROF）演示，以表明有可能：1）创建基于触摸的学习内容“应用程序”，从中可以报告关键状态信息; 2）分析数据并创建适当的度量标准，从中可以描述学习者的能力;以及3）分析数据以跟踪学习标准的学习进度。