Bilawal Wajid Ali

Bilawal Wajid Ali

Master Thesis Student


Thesis topic: A Usability Improvement of the Indicator Editor in OpenLAP

Related projectOpenLAP

SupervisorDr. Arham Muslim

Thesis duration: 05/2019 - 11/2019



Open Learning Analytics (OLA) is an emerging field, which deals with learning data collected from various environments and contexts, analyzed with a wide range of analytics methods to address the requirements of different stakeholders. The diversity in different dimensions of OLA introduces a set of challenges for the LA developers and researchers while designing solutions for OLA. The Open Learning Analytics Platform (OpenLAP) is a framework which addresses these issues and lays the foundation for an ecosystem of OLA that aims at supporting learning and teaching in fragmented, diverse, and networked learning environments. It follows a user-centric approach to engage end users in flexible definition and dynamic generation of personalized indicators. OpenLAP adopts a data model called the Experience API (xAPI) to address the data aggregation and integration as well as the interoperability requirements.

The aim of this thesis is to improve the design of the existing Indicator Editor of OpenLAP by following Human-Computer Interaction (HCI) design patterns and provide a React-based implementation. Moreover, the usability evaluation should be conducted to validate the new design.