Work-in-Progress: Using Autonomous Training Resources for a More Inclusive Approach to the Teaching of Computer Networks

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Many are the ways to learn: Identifying multi-modal behavioral profiles of collaborative learning in constructivist activities (vol 16, pg 485, 2021)

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Enhancing argumentative writing with automated feedback and social comparison nudging

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The advantages offered by natural language processing (NLP) and machine learning enable students to receive automated feedback on their argumentation skills, independent of educator, time, and location. Although there is a growing amount of literature on f ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Designing Tangible as an Orchestration Tool for Collaborative Activities

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Orchestrating collaborative learning activities is a challenge, even with the support of technology. Tangibles as orchestration tools represent an ambient and embodied approach to sharing information about the learning content and flow of the activity, thu ...

MDPI2022

Large deviations in the perceptron model and consequences for active learning

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Active learning (AL) is a branch of machine learning that deals with problems where unlabeled data is abundant yet obtaining labels is expensive. The learning algorithm has the possibility of querying a limited number of samples to obtain the corresponding ...

2021