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Curricular Materials

ESTRELLA Expand Latinx Learners’ Authentic Experiences in Computer Programming

The curriculum was designed for and renovated through the participation and feedback of middle school students. It integrates basics of Computer Programming and Mathematics concepts and activities needed to represent digital video and color images.

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Publication

Robust Head Detection in Collaborative Learning Environments Using AM-FM Representations

The paper introduces the problem of robust head detection in collaborative learning environments. In such environments, the camera remains fixed while the students are allowed to sit at different parts of a table.

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Context-Sensitive Human Activity Classification in Collaborative Learning Environments

Human activity classification remains challenging due to the strong need to eliminate structural noise, the multitude of possible activities, and the strong variations in video acquisition.

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Teaching Image and Video Processing Using Middle-School Mathematics and the Raspberry Pi

In this paper, we summarize some of the lessons learned from the Advancing Out-of-School Learning in Mathematics and Engineering (AOLME) project.

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Teaching and Learning Number Systems for Computational Thinking: Underrepresented Students Accessing High-Quality STEM Practices

This book offers math educators strateg

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This material is based upon work supported by the National Science Foundation under Grant Nos. DRL-1312022, 1614697 and 1949200. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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