We present the affordances of LA-ReflecT, an LTI-enabled platform,
and its potential to collect geographically distributed and asynchronous multimodal
learning data. As a user, teachers can author micro-learning activities with
multimedia content and distribute it to the learners through the LMS. The system
captures learners’ interaction as a log for analytics and presents it back in the
dashboard for self-reflection. For multimodal data, it synchronizes API-based action
logs such as YouTube ...
We present the affordances of LA-ReflecT, an LTI-enabled platform,
and its potential to collect geographically distributed and asynchronous multimodal
learning data. As a user, teachers can author micro-learning activities with
multimedia content and distribute it to the learners through the LMS. The system
captures learners’ interaction as a log for analytics and presents it back in the
dashboard for self-reflection. For multimodal data, it synchronizes API-based action
logs such as YouTube video-watching behaviors and mobile-applicationbased
data streaming from wearable sensors synchronized with their particular
activity. It can be linked to their learning log, a time-series data upload option
linked to a specific activity session, and synchronizing web-sensors data through
API. It helps track interactions and artifacts students create within the platform
as xAPI logs. The platform facilitates reflection on the action by presenting information
on a dashboard as a part of the learning activity. LA-ReflecT also enables
an app connecting with Bluetooth sensors that stream time series signals.
The sensor data from a user is synchronized with their particular activity and can
be linked to their learning log. We are doing multiple pilots with research partners
in Japan and India. We are open to discussing adaptors who want to potentially
pilot LA-ReflecT to create microlearning material and investigate the potential
of the data logged in the platform.
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