Plaxonic's Collaboration with Kyoto University's LET Research Unit on GOAL Project, India

The LET Research Unit at Kyoto University required expertise in developing their GOAL technology platform. They sought a comprehensive solution to efficiently integrate APIs for data gathering and visualization, export GOAL interactions as API statements in MongoDB, and integrate devices through APIs for physiological data collection and interpretation. The platform aimed to support users in analyzing, planning, monitoring, and reflecting on their learning and physical activity data.

Plaxonic Technologies collaborated closely with the LET Research Unit to understand their objectives and design a custom solution that met their expectations. We provided our technical expertise in API integration, data visualization, and device connectivity to create a robust and scalable GOAL platform. Our team's agile methodology ensured timely delivery and effective communication with the client throughout the development process.

To develop the GOAL platform, we adopted a systematic approach that involved the following steps:

• API Integration: Our team of developers integrated the necessary APIs, including Emphatic and Emotive, into the GOAL system to gather data and create visualisations. We ensured that these APIs were linked to specific users in a session, enabling seamless data collection and personalisation.

• API Statements: We worked on exporting GOAL interactions as API statements in MongoDB, referring to the existing pipeline in the eBook reader's Java-based API function. This approach allowed the platform to store user interactions efficiently and retrieve them for further analysis and visualisation.

• Device Integration: We connected devices through APIs to collect and interpret physiological data. We utilised the client's Learning Tools Interoperability (LTI) functionalities to ensure seamless integration within the GOAL system. This approach facilitated the gathering of vital information to support users in their learning journey.

• Data Visualisation: Our team leveraged the client's frontend graphing libraries in Angular to visualize or export synchronised signals effectively. This allowed users to analyse, plan, monitor, and reflect on their learning and physical activity data, ultimately supporting their self-directed learning goals.