Atenea
description
Transcript of Atenea
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STUDENT SUCCESS SYSTEM
Learning Analytics module for improving student learning
Services & Applications area
March 2014
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Problem
●Online learning platforms (LMS) produce huge amounts of data about students.
○Currently, these data are not being exploited.
○Teachers do not have time to collect, organize and analyze this information.
○LMS reporting functionalities do not add value for teachers.
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Solution
● A learning analytics module that collects and analyze student data for providing: ○ Early detection of students at-risk. ○ Predict student performance. ○ Tailored educational interventions.
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Other potential use cases
●Classroom monitor based on real-time analytics
○Detection of off-task behaviours. Identification of hard concepts.
○Automatically create student groups based on activity patterns.
●Making campus level decisions
○Improving student success and adjustment of recruitment policies.
○Data-driven teachers assessments.
●Massive Online Open Course analytics module:
○Massive analysis of engagement, motivation, effort and self-discipline of MOOC learners (eg. EdX, Coursera). Reduction of dropout rates.
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Main features
● Seamless integration with your LMS.
● Valuable insights from your students
behaviour.
● Improvement of school accountability
and teacher time optimization.
● Data anonymisation capabilities.
● Single Sign-On (only one login).
● Personalized dashboards.
● Support for last generation e-learning
standards (eg. Experience API).
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Rubén Míguez Pérez
Services & Applications area
March 2014