Set of Starter Cards for Makers in Spaces
MuSA is a web-based TEL tool developed for a Master's thesis at Universitat Pompeu Fabra. It supports the reflection phase of music practice by using saliency analysis to algorithmically identify salient moments in recorded performances based on variability musical features, offering flexible, non-prescriptive visual feedback.
Facilitating Functional Education For The Next Innovators, Entrepreneurs and Leaders
This is an open source project to improve how SME organizations integrate the open way and enable a sustainable digital journey
Capitalization of Analysis Processes for Technology Enhanced learNing
🧑🏫 A tool to easily evaluate answers
Calques 3D is a microworld designed for constructing, observing and manipulating geometrical figures in space.
A repository for providing research data by TUD for the Assistance System as part of the VerDatAs project.
Mixing physical computing (reverse-engineered wiimote) and digital visualisation (Processing) to explore spherical triangles
The TUD TAS Backend is a software component that acts as an adapter between the TUD Assistance Backbone and the Learning Management System ILIAS. Together with the TUD Assistance Backbone and the assistance components integrated in the LMS, it forms the Tutorial Assistance System (TAS).
Chatbot for the assistance system developed as part of the VerDatAs project.
A system for discussing videos and other web resources asynchronously
An overview of the components and documents developed by TUD for the Assistance System as part of the VerDatAs project.
Chatbot ILIAS plugin for the assistance system developed as part of the VerDatAs project.
Dashboard for the assistance system developed as part of the VerDatAs project.
Dashboard ILIAS plugin for the assistance system developed as part of the VerDatAs project.
Evaluation component ILIAS plugin for the assistance system developed as part of the VerDatAs project.
The TUD Assistance Backbone (TAB) is a software component that can be used to analyze learning process data in the form of xAPI statements and provide feedback to learners' interactions and assistance and suggestions with regard to the user's learning state and the corresponding learning content.
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