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LASER Institute's Projects

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This workshop introduces participants to the Learning Analytics (LA), and provides a brief overview of LA methodologies, literature, applications, and ethical issues as they relate to STEM education.

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Foundation knowledge is the base knowledge of which new knowledge is built. Learning Analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs (Siemens, 2011).

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This is a gentle introduction to Learning Analytics, using R with the LA workflow and the methodologies commonly used with educational data analysis.

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This learning lab orientation focuses on reproducible research and the data-intensive research workflow and is designed to orient learners to the instructional activities that make up each LASER learning lab.

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Introduction to GitHub and RStudio basics and the "how's" of reproducible research.

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In these learning labs, you will become familiar with machine learning and how it is used in educational contexts

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Social Network Analysis and STEM Education is designed to prepare researchers to apply network analysis in order to better understand and improve teaching and learning.

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Social Network Analysis and STEM Education is designed to prepare researchers to apply network analysis in order to better understand and improve teaching and learning. The presentations and case studies for these labs provide scholars with an overview of social network theory, examples of network analysis in STEM educational contexts, and applied experience with widely adopted tools and common techniques.

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