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Assessment of Course-Based Undergraduate Research Experiences: A Meeting Report

This paper:

Auchincloss, L. C., Laursen, S. L., Branchaw, J. L., Eagan, K., Graham, M., Hanauer, D. I., ... & Towns, M. (2014). Assessment of course-based undergraduate research experiences: a meeting report.

reports on a meeting of people with expertise in CURE instruction and assessment and their efforts to: 1) draft an operational definition of a CURE, with the aim of defining what makes a laboratory course or project a “research experience”; 2) summarize research on CUREs, as well as findings from studies of undergraduate research internships that would be useful for thinking about how students are influenced by participating in CUREs; and 3) identify areas of greatest need with respect to CURE assessment, and directions for future research on and evaluation of CUREs.

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Mosaic plots and probabilities

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Analyzing proportions

  

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Bayes theorem and medical testing

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Chapter 7: Analyzing proportions

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Hypothesis testing

  

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QUBESHub.org has officially launched!  Join us while we unveil the QUBES site and hear about some interesting work going on in our education community: BioSquare’s work creating a quantitative skills inventory tool and how to get the most out of collaborating online.

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Erich Huebner onto my group collection

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Questions, Hypotheses, and Predictions

  

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Probability (cont'd)

  

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Probability

  

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RCN-UBE Summit Introduction Talk Christopher R Meyer

This short talk provides some brief history and perspective about networks, RCNs, and the RCN-UBE program. Notes from a report from the 2005 RCN awardees meeting (when the RCN program was similar in size to the current RCN-UBE) were shared in which the participants shared best practices and identified some elements of successful RCNs. Some information about the past and current RCN-UBE portfolio were shared and some representative past awards highlighted. The talk ends with a list of goals that calls for a vision for the future, recommendations for best practices (targeting all stakeholders), continuing networking and communication, and a report summarizing our conversations and ideas.

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Estimating with uncertainty (Part 2)

  

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Subreddit: /r/dataisugly

Welcome to Data Is Ugly, a sub all about butchered visualizations, misleading charts and unlabelled axes. If you've found a particularly useless/ugly/unreadable chart or infographic, and struggled to find someone who will listen to your complaints, then rejoice, for you are home!

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Subreddit: /r/dataisbeautiful

A place for visual representations of data: Graphs, charts, maps, etc.

DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the aim of this subreddit.

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plotly

From Wikipedia:

Plotly offers six main products:
  • Plot.ly has a graphical user interface for importing and analyzing data into a grid and using stats tools. Graphs can be embedded or downloaded. Mainly used to make creating graphs faster and more efficient.
  • API libraries for Python, R, MATLAB, Node.js, Julia, and Arduino and a REST API. Plotly can also be used to style interactive graphs with IPython.
  • Figure Converters which convert matplotlib, ggplot2, and IGOR Pro graphs into interactive, online graphs.
  • Plotly Apps for Google Chrome.
  • Plotly.js is an open source JavaScript library for creating graphs and dashboards.
  • Plotly Enterprise an on-premises installation of Plotly.

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Estimating with uncertainty

  

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CUREnet

CUREnet is a network of people and programs that are creating course-based undergraduate research experiences (CUREs) in biology.

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Integrating teaching and research in undergraduate biology laboratory education.

Short read with some concrete suggestions for integrating teaching and research.

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Descriptive Statistics

  

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Chapter 3: Describing data

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Data visualization (Part 2)

  

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