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Impact of faculty mind set on student success

 

Canning, E.A., Muenks, K., Green, D.J., Murphy, M. 2019. STEM faculty who believe ability is fixed have larger racial achievement gaps and inspire less student motivation in their classes Science Advances  15 Feb 2019: Vol. 5, no. 2, eaau4734 DOI: 10.1126/sciadv.aau4734

"Results from a longitudinal university-wide sample (150 STEM professors and more than 15,000 students) revealed that the racial achievement gaps in courses taught by more fixed mindset faculty were twice as large as the achievement gaps in courses taught by more growth mindset faculty. Course evaluations revealed that students were demotivated and had more negative experiences in classes taught by fixed (versus growth) mindset faculty. Faculty mindset beliefs predicted student achievement and motivation above and beyond any other faculty characteristic, including their gender, race/ethnicity, age, teaching experience, or tenure status. "

 

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Kristin Jenkins onto Inclusive Teaching Practices

Data for Black Lives Operations Manager

Data for Black Lives is seeking an enthusiastic, independent and dynamic professional to serve as our Operations Manager. The ideal candidate will have experience creating and maintaining systems, will be organized and detail oriented, and have a shared commitment to our mission. The Operations Manager will be an integral part of the team providing short and long-term strategic vision that supports our maximum effectiveness, efficiency, financial and organizational sustainability.

For more information, or to apply, submit a short statement of interest and a resume that highlights your experiences most relevant to the role: info@d4bl.org with subject “Operations Manager.”
 

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Alycia Crall onto Opportunities in the Field

FactoMineR: Multivariate Exploratory Data Analysis and Data Mining

Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017) <doi:10.1201/b10345-2>.

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Drew LaMar onto Data Life Cycle: Model

psych: Procedures for Psychological, Psychometric, and Personality Research

A general purpose toolbox for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Functions for simulating and testing particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometric theory as well as publications in personality research.

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Drew LaMar onto Data Life Cycle: Model

nFactors: Parallel Analysis and Non Graphical Solutions to the Cattell Scree Test

Indices, heuristics and strategies to help determine the number of factors/components to retain: 1. Acceleration factor (af with or without Parallel Analysis); 2. Optimal Coordinates (noc with or without Parallel Analysis); 3. Parallel analysis (components, factors and bootstrap); 4. lambda > mean(lambda) (Kaiser, CFA and related); 5. Cattell-Nelson-Gorsuch (CNG); 6. Zoski and Jurs multiple regression (b, t and p); 7. Zoski and Jurs standard error of the regression coeffcient (sescree); 8. Nelson R2; 9. Bartlett khi-2; 10. Anderson khi-2; 11. Lawley khi-2 and 12. Bentler-Yuan khi-2.

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Drew LaMar onto Data Life Cycle: Model

Women in Machine Learning and Data Science

WiMLDS is a 501(c)(3) organization. Its mission is to support and promote women and gender minorities who are practicing, studying or are interested in the fields of machine learning and data science. They create opportunities for members to engage in technical and professional conversations in a positive, supportive environment by hosting talks by women and gender minority individuals working in data science or machine learning, as well as hosting technical workshops, networking events and hackathons. We are inclusive to anyone who supports our cause regardless of gender identity or technical background.

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Alycia Crall onto Initiatives

Podcast on Inclusivity in Data Science

Presented by DataCamp, with guest speaker, Brandeis Marshall.

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Carrie Diaz Eaton onto Other Relevant Resources

R Markdown Help Articles

A collection of articles to help in the use of R Markdown.

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Melissa Aikens onto Data Life Cycle: Communicate

R Markdown Reference Guide

Quick guide to syntax and functions in R Markdown.

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Melissa Aikens onto Data Life Cycle: Communicate

R Markdown Cheat Sheet

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Melissa Aikens onto Data Life Cycle: Communicate

KDD 2019 Conference

The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.

August 4 - 8, 2019
Anchorage, Alaska USA
Dena’ina Convention Center and William Egan Convention Center

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Alycia Crall onto Opportunities in the Field

MS in Data Science at University of Delaware

The Earth observation for Sustainable Ecosystem and Livelihood group (http://www.ceoe.udel.edu/our-people/profiles/mondalp) at the University of Delaware is seeking a MS student interested in environmental remote sensing to join the MSDS program in Fall 2019. Funding is available through an NSF EPSCoR grant awarded to an interdisciplinary team of researchers examining water in the changing coastal environment in Delaware (http://projectwicced.org/). 

The MS position with a Research Assistantship (RA) provides a competitive stipend of $22,000, a tuition waiver, and subsidized health insurance. The student will work under the direct supervision of Dr. Pinki Mondal (mondalp@udel.edu), and will interact with EPSCoR WiCCED project members and collaborators at the Center for Environmental Monitoring & Analysis (http://cema.udel.edu/). 

The ideal candidate would have a major in any of mathematics, applied mathematics, statistics, computer science or engineering, environmental engineering, or any other field of engineering. For the MSDS program degree requirements, please visit: https://www.msds.udel.edu/curriculum. A strong candidate is either familiar with or interested in geospatial (remote sensing/GIS) applications in environmental sciences. Prior experience in Google Earth Engine (GEE) is a plus, but not mandatory. We are looking for a candidate who has (i) outstanding quantitative skills, (ii) an interest in interdisciplinary research, and (iii) good oral communication and writing skills. The ideal candidate also has attention to detail and willingness and ability to follow instructions carefully and work independently.

Specific RA responsibilities will include (but are not limited to): (1) processing and interpreting time-series of satellite images for Delaware, (2) collecting and analyzing field-level data, (3) assisting investigators with other research-related project activities, and (4) presenting findings at scientific meeting and submitting journal articles. While the RA will assist with the project objectives, he/she will be encouraged to develop his/her own thesis research questions to pursue within the context of the broader project.

Interested applicants should send a brief letter of interest, unofficial transcript, and a copy of their CV (including GPA and GRE scores) via email to Dr. Pinki Mondal (mondalp@udel.eduby February 22 prior to formally applying to UD Graduate School. Women and underrepresented minorities are strongly encouraged to apply.

The University of Delaware is an equal opportunity affirmative action employer. Recognized by the Chronicle of Higher Education as one of America’s best universities to work for in 2012, the University of Delaware is located midway between Philadelphia and Baltimore, and is a Sea Grant, Space Grant, and Land Grant institution. 

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Science & Society

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Communication & Collaboration

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Interdisciplinary Nature of Science

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Modeling & Simulation

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Quantitative Reasoning

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Process of Science

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Access NEON Data Using the Data Portal – A Visual Guide

This guide walks viewers through how to access data through the NEON data portal and a few related resources for working with NEON data.  The NEON data portal remains in dynamic development. This photographic guide will be regularly updated. If the data portal you are viewing does not match this guide, please check for an updated version on the NEONScience.org website and let Megan know so she can update it here.

The guide is laid out to be followed sequentially from starting on the NEONScience.org website to downloading data to your computer. After this sequence additional slides are provided that details on other pages or topics of interest to data users.

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Needed Math Conference Proceedings Jan 2018

This description is taken from: https://bio-link.org/blog/need-math 

Math--how to teach it, how to use it, who needs it, and how to keep it from being a barrier between students and jobs.  These are all topics of discussion at the Needed Math, a National Science Foundation Advanced Technological Education Funded Conference.  This conference, held from January 12-15, 2018 brought together employers in three STEM fields (biotechnology, manufacturing technology, and information and communication technology), post-secondary instructors of technical subjects related to those fields and mathematics educators.  Employers surveyed for the Manufacturing Institute's 2014 Skills Gap study report a "sizeable gap" between the talent they need and that available on the job market.  

The basic recommendation from the conference?   The mathematics standards, assessments, and curriculum need to be revisited and revised so as to place greater emphasis on the skills needed to solve the kinds of problems that arise in the real world.  This will also help to avoid the trap of "bad at math" when often the student is not bad at math, but just does not fit well into a curriculum that studies math without a clear application.  

The report is available and very interesting, with Needed Math examples that show quite clearly what employers are looking for. Take a look yourself!

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Teresa Mourad onto Publications

tEST POST

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Michael Somkuti onto afdesf gd

NWBC Introductory Biology Learning Outcomes

Learning outcomes for the first year of biology compiled and consented to at the NWBC 2018 Winter Workshop.

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Stacey Kiser onto Resources

Genomic Science and Leadership Initiative (GSLI)

The workshops will provide hands-on laboratory and computational experience in molecular biology and computational biology. Each workshop site will focus on waterways affected by contaminants (industrial or mining) and associated microbial communities. We have expanded the GSLI workshop by 2 days to add more data science methods. We recognize the cultural perspective of learning and incorporate this in our curriculum as genomics is a culturally sensitive area. We will give priority to freshmen or sophomore American Indian and Alaskan Native (AIAN), early exposure to the area of study and introduction to being in a research lab. We welcome applications from non-AIAN and upper-level students. The application deadline is February 8th.

Learn more about the previous workshop: http://bit.ly/gsli2018-overview

Two Workshops Application Links to Register:

Fort Lewis College, Durango, CO : May 19 – 25, 2019 (http://bit.ly/GSLI-FLC)

CU Denver, Denver, CO : June 2 – 8, 2019 (http://bit.ly/GSLI-CUDenver)

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Joslynn S Lee onto Opportunities in the Field

Core competency reference sheet

Reference sheet from the workshop. Adapted from 2011 Vision and Change report by Stasinos Stavrianeas.

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Alexa Clemmons onto Resources