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Anti-Bias Classroom Photographs Collection
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CC BY
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This collection was inspired by Ellen Wolpert's article about anti-bias work with younger students. Her article suggests that teachers should keep a collection of non-stereotypical photos of people doing regular things that can be referenced to stimulate class discussion or address biased language with young children.

The photos in this growing collection are organized into (Google Drive) folders inspired by categories mentioned by Ms. Wolpert: Race, Age, Physical Abilities, Gender Roles, Families/Sexual Orientation, Jobs, and Ethnicity. Each folder contains different photographs curated from various Creative Commons websites, including Unsplash, Pixabay, and Pexels. Currently there are 80 photographs in the collection. They have been assembled here for your convenience and represent many hours of searching, downloading, and editing.

Reference: Wolpert, E. (2006). Photo picture cards: A key tool for the anti-bias classroom. In Lee, E., Menkart, D., & Okazawa-Rey, M. (Eds.) Beyond heroes and holidays: A practical guide to K-12 anti-racist, multicultural education and staff development (3rd ed., pp. 211-214).

Subject:
Education
Elementary Education
Material Type:
Teaching/Learning Strategy
Author:
Brad Manker
Date Added:
04/15/2021
Assessing Visual Materials for Diversity & Inclusivity
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CC BY-NC-SA
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This resource is a modification of the Washington Models for the Evaluation of Bias Content in Instructional Materials (2009) that is made available through OER Commons under a public domain license. This resource attempts to both update the content with more contemporary vocabulary and also to narrow the scope to evaluating still images as they are found online. It was developed as a secondary project while working on a BranchED OER grant during summer 2020. It includes an attached rubric adapted from the Washington Model (2009).

Subject:
Education
Educational Technology
Higher Education
Information Science
Visual Arts
Material Type:
Assessment
Reading
Teaching/Learning Strategy
Author:
Kimberly Grotewold
Date Added:
07/03/2020
BLOOM'S TAXONOMY OF EDUCATIONAL OBJECTIVES
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CC BY-NC-SA
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THE BLOOM'S CLASSIFICATION OF EDUCATIONAL OBJECTIVES IS REALLY A PATH SHOWING TO THE TEACHERS OF ALL CATEGORIES i.e. PRE PRIMARY, PRIMARY, MIDDLE SCHOOL, SECONDARY, SENIOR SECONDARY AND EVEN TEACHERS AT HIGHER EDUCATION. IT GUIDES ABOUT THE GOALS TO BE ACHIEVED IN THE CLASSROOM BY THE TEACHERS.

Subject:
Education
Educational Technology
Higher Education
Material Type:
Lecture
Lesson
Module
Teaching/Learning Strategy
Unit of Study
Author:
Meenu Sethi
Date Added:
09/08/2020
The Biculturalization or Intersectionality of Identity in the 21st Century
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CC BY-NC
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This lesson and project emerged out of the course EDU 311: C, D, and E in Global Education (Culture, Diversity, and Equality). Specifically we look at the diversity of voices and cultures present in our nation’s history, which may or not be located directly in the curriculum. For this reason students, future teachers especially, need to be aware to omitted or misrepresented voices, including diversity responsibly, and be sensitive to diversity or multicultural education. The text we use is Diversity Matters (Spradlin, 2012) which delves specifically into dominant culture and minority culture helps to first frame then self identify the concept of intersectionality.

Subject:
Education
Material Type:
Activity/Lab
Date Added:
05/03/2017
Blended Best Practices High School Mathematics - Effects on Volume/SA with changing dimensions
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CC BY-NC-SA
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This resource was created by Marshall Payer in collaboration with Aaron Delhay as part of the 2019-20 ESU-NDE Digital Age Pedagogy Project. Educators worked with coaches to create Unit Plans promoting BlendEd Learning Best Practices. This Unit Plan is designed for High School Mathematics.

Subject:
Mathematics
Material Type:
Assessment
Homework/Assignment
Lesson
Lesson Plan
Teaching/Learning Strategy
Unit of Study
Author:
Aaron Delhay
Date Added:
06/02/2020
Chapter 6: Theories of Learning
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CC BY-NC-SA
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LEARNING OBJECTIVESBy the end of this chapter, you will be able to:Define thinking and thoughtDescribe metacognition and how it applies to your learningIdentify the stages of the learning processDefine learning objectivesUse Bloom’s taxonomy to interpret learning objectives and adjust your expectations accordinglyExplain the model of strategic learningDescribe the relationship between emotional intelligence and self-regulationIdentify the types of thinking that contribute to successful intelligenceDescribe the role of creative thinking in the learning processIt is the mark of an educated mind to be able to entertain a thought without accepting it. —Aristotle, Greek philosopher

Subject:
Education
Higher Education
Material Type:
Module
Author:
Jazzabel Maya
Date Added:
09/23/2019
Co-Teaching Fundamentals
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CC BY-NC-SA
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Co-Teaching FundamentalsThis 20-minute module provides foundational information about the practice of co-teaching.  If completed independently, this content can be covered in approximately 20-minutes.  If the module is facilitated using the guide, it may take up to one-hour.

Subject:
Education
Material Type:
Lesson Plan
Author:
Laurie Kerr
Date Added:
04/12/2018
Communication, Affect, & Learning in the Classroom (4th edition)
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CC BY-NC-SA
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This book is an introduction to communication, affect, and learning in the classroom. The book was originally created as a way to introduce K-12 educators to instructional communication, but has been expanded to help College/University professors and Talent Development professionals as well. 

Subject:
Business and Communication
Education
Material Type:
Textbook
Author:
Jason Wrench
Date Added:
02/18/2020
Deciding on which statistics to use.
Conditional Remix & Share Permitted
CC BY-NC-SA
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This chart will help you identify which statistical analysis to used depending on your research question.How to use: When deciding which statistics to use, first you must ask what is your research question looking for (difference or association). Then, identify what type of variable are you dealing with (Nominal, Ordinal, or Interval / Ratio), then the number of independent variables (IV) or dependent variables (DV) depending on the nature of your hypothesis. Below is a chart to help you identify which analysis to use for your hypothesis testing. 

Subject:
Statistics and Probability
Material Type:
Module
Author:
Antoniette Aizon
Date Added:
04/11/2018