Assess. Analyse. Intervene.

This white paper – Assess. Analyse. Intervene. From E-Assessment to Personalised Learning – was written to help Ministries of Education, Local Education Authorities and prospective suppliers understand how to build on E-Assessment and E-Examination to create personalised learning experiences. Taking the three key building blocks of Assessment, Analytics and Intervention, the paper defines a Personalised Learning Platform and its interfaces within a broader schooling ecosystem – the Schooling Enterprise Architecture.

The central proposition to this paper is that using data generated by the growing use of E-Examination and E-Assessment process offers significant value for increasing the effectiveness of the schooling systems.

Schooling system needs to constantly innovate and evolve.  This paper sets out a vision for how schooling leaders can make learning even more effective by personalising the learning experience for all school students – without introducing unmanageable complexities.

The implementation of the key recommendations of this paper should deliver the following benefits:

  1. Effective learning – Intervention is about developing virtuous cycles of learning, tailored to individual needs
  2. Deep insights – using deep analytics, new and unpredicted patterns can be found that can help inform decision makers about where to focus investments
  3. Timely intervention – whilst E-Assessment takes essential “rear view mirror” snapshots of learning performance, predictive analytics can be used to constantly steer students in the right direction, maximizing the chances of doing well in assessment and examinations

Three interdependent processes combine to deliver a personalized learning experience:

  • Assess
  • Analyse
  • Intervene
Figure 1. The three main components of a Personalised Learning Platform

Ongoing assessment from a range of sources is used to gather data about how individuals and groups of students are learning. This data is analyzed to help target students with tailored learning, and to make decisions that lead to increased effectiveness. Using data, interventions can be set up do deal with issues such as reducing drop-out rates; selecting the most effective ways of improving reading and mathematics; and dealing with risks before they become a problem. Ultimately interventions can be tailored for individuals and groups of students.

Each of these processes are interconnected in multiple ways –

Figure 2. Logical connections between functions

The white paper explores these processes and how they integrate and can be implemented.

Download the white paper here: Assess. Analyse. Intervene. From E-Assessment to Personalised Learning

Thanks to Quoc Bui; Horng Shya Chua; Puay San Ng and Edgar Ferrer Gil.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s