Learning analytics can offer your organization the power to turn raw data into actionable insights to improve teaching and learning best practices & results
This session was led by Juan Pablo Sarmiento and introduces learning analytics researchers and practitioners to a collection of tools that can be used to scaffold the effective and authentic participation of stakeholders in the design, implementation and evaluation of Learning Analytics systems.
It never bodes well to dive into the unknown without preparation. To define, design and enable learning analytics, it’s essential to have a clear strategy in place. Prep yourself with these evaluation questions before you dive into learning analytics.
As Massive Open Online Courses (MOOCs) generate a huge amount of learning activity data through its thousands of users, great potential is provided to use this data to understand and optimize the learning experience and outcome.
Fact-based information modeling language (see http://orm.net), relational mapper, and fact-oriented database query/update implementation to replace ActiveRecord, supporting a higher level of schema design abstraction, performance and concurrency.
In Latin America (LATAM), socioeconomic inequality and lack of resources shape the context of educational institutions in particular ways. Programme quality and dropout rates preoccupy educationalists and governments.
How can product developers use data analytics to improve products, prove their effectiveness, and increase the fidelity of implementation? Learn more in the latest Nexus story by Rachel Schechter
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