Updating search results...

Search Resources

1923 Results

View
Selected filters:
  • Mathematics
  • Community College / Lower Division
Clothes Washers Life Cycle- Cost and Environmental Performance
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Students in math and business classes work together in groups to evaluate and compare cost and environmental performance of different clothes washers.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

Subject:
Biology
Career and Technical Education
Environmental Studies
Life Science
Mathematics
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Christopher Quarles and Miguel Hernandez, Everett Community College
Date Added:
12/09/2021
Cognitive Facets for learning technical materials
Unrestricted Use
Public Domain
Rating
0.0 stars

Do you sometimes feel that you do not belong in this program, or some of its courses? The instructors assure you that you do belong! To help combat that sense of imposter syndrome that you might be feeling, let's explore the notion that your cognitive styles of learning are similar to your peers' learning styles.

You may already know that OSU and other universities have studied course materials and technical tools to make improvements that level the playing field amongst you and your peers. Programs such as Cognitive Style Heuristics and GenderMag/InclusiveMag study differences in how people problem-solve while learning new technical skills. The projects' core methods of finding bias bugs in software and materials is to apply personas that represent different sets of cognitive facets.

Explore the Facets and Personas by clicking on the tabs at the top, then analyze which persona fits you best, by taking the Survey.

Your selection data will disappear after refreshing the page, or closing the browser. It will not be saved and collected.

Subject:
Applied Science
Computer Science
Computing and Information
Education
Educational Technology
Engineering
Information Science
Mathematics
Measurement and Data
Technology
Material Type:
Activity/Lab
Data Set
Diagram/Illustration
Interactive
Author:
Anita Sarma
Justin Dickerson
Lara Letaw
Margarett Burnett
Pam Van Londen
Date Added:
10/02/2024
Coke vs. Pepsi Taste Test: Experiments and Inference about Cause
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

The Coke vs. Pepsi Taste Test Challenge has students design and carry out an experiment to determine whether or not students are able to correctly identify two brands of cola in a blind taste test.In the first stage of the activity students design and conduct the experiment. In the second part of the activity students use Sampling SIM software (freely downloadable from http://www.tc.umn.edu/~delma001/stat_tools/) to simulate and gather information on what would be expected under chance conditions (i.e., if students obtained correct answers only by guessing). The students then compare the observed results to the chance results and make an inference about whether a given student can in fact correctly identify Coke and Pepsi in a blind taste test. Finally, the experiment is critiqued in terms of how well it met the standards for a good experiment.

This activity allows students to gain a better understanding of the experimental process and causality through considering control, random assignment, and possible confounding variables. The activity also allows students to begin to understand the process of hypothesis testing by comparing their observed results of the taste test to the results obtained through Sampling SIM (which model would be obtained by chance). Students make an inference about whether particular students in their class can truly tell the difference between Coke and Pepsi by reasoning about how surprising the observed results are compared to the simulated distribution of correct identifications by guessing. The activity also provides an opportunity for discussing generalizability to a population.

Subject:
Mathematics
Measurement and Data
Statistics and Probability
Material Type:
Activity/Lab
Data Set
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Joan Garfield
Date Added:
11/06/2014
College Algebra
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

College Algebra is an introductory text for a college algebra survey course. The material is presented at a level intended to prepare students for Calculus while also giving them relevant mathematical skills that can be used in other classes. The authors describe their approach as "Functions First," believing introducing functions first will help students understand new concepts more completely. Each section includes homework exercises, and the answers to most computational questions are included in the text (discussion questions are open-ended).

Subject:
Algebra
Mathematics
Material Type:
Textbook
Provider:
Stitz-Zeager Open Source Mathematics
Author:
Carl Stitz
Jeff Zeager
Date Added:
07/15/2011
College Algebra
Unrestricted Use
CC BY
Rating
0.0 stars

Long Description:
College Algebra provides a comprehensive and multi-layered exploration of algebraic principles. The text is suitable for a typical introductory algebra course, and was developed to be used flexibly. While the breadth of topics may go beyond what an instructor would cover, the modular approach and the richness of content ensures that the book meets the needs of a variety of programs.

Download for free at http://cnx.org/contents/9b08c294-057f-4201-9f48-5d6ad992740d@3.278

Word Count: 174228

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Subject:
Algebra
Mathematics
Material Type:
Textbook
Date Added:
01/26/2024
College Algebra
Unrestricted Use
CC BY
Rating
0.0 stars

College Algebra provides a comprehensive exploration of algebraic principles and meets scope and sequence requirements for a typical introductory algebra course. The modular approach and richness of content ensure that the book meets the needs of a variety of courses. College Algebra offers a wealth of examples with detailed, conceptual explanations, building a strong foundation in the material before asking students to apply what they’ve learned.

Subject:
Algebra
Mathematics
Material Type:
Textbook
Provider:
Rice University
Provider Set:
OpenStax College
Author:
Jay Abramson
Date Added:
11/18/2021
College Algebra
Read the Fine Print
Rating
0.0 stars

This course covers relations and functions, specifically, linear, polynomial, exponential, logarithmic, and rational functions. Additionally, sections on conics, systems of equations and matrices and sequences are also available.

Subject:
Algebra
Mathematics
Material Type:
Full Course
Textbook
Provider:
Lumen Learning
Provider Set:
Candela Courseware
Author:
Carl Stitz
Jeff Zeager
Date Added:
03/31/2016
College Algebra
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This College Algebra text will cover a combination of classical algebra and analytic geometry, with an introduction to the transcendental exponential and logarithmic
functions. If mathematics is the language of science, then algebra is the grammar of that language. Like grammar, algebra provides a structure to mathematical notation, in addition to its uses in problem solving and its ability to change the appearance of an expression without changing the value.

Subject:
Mathematics
Material Type:
Textbook
Author:
Richard W. Beveridge
Date Added:
09/02/2018
College Algebra 1e (superseded)
Unrestricted Use
CC BY
Rating
0.0 stars

College Algebra provides a comprehensive exploration of algebraic principles and meets scope and sequence requirements for a typical introductory algebra course. The modular approach and richness of content ensure that the book meets the needs of a variety of courses. College Algebra offers a wealth of examples with detailed, conceptual explanations, building a strong foundation in the material before asking students to apply what they've learned.

Note: this resource now links to the second edition, released in 2021. This record is in maintained in OER Commons to allow users to see endorsements, reviews, etc... for the 1st edition.

Subject:
Algebra
Mathematics
Trigonometry
Material Type:
Textbook
Provider:
Rice University
Provider Set:
OpenStax College
Author:
David Lippman
Jay Abramson
Jean-Marie Magnier
Melonie Rasmussen
Nicholas Belloit
Rachael Gross
Rick Norwood
Valeree Falduto
Date Added:
01/29/2015
College Algebra: An Inverse Approach
Conditional Remix & Share Permitted
CC BY-NC
Rating
0.0 stars

This College Algebra textbook provides a comprehensive introduction to the fundamental concepts of algebra, with a unique focus on the concept of inverses. The textbook begins with an exploration of the foundational principles of functions, including domain, range, and the vertical line test. It progresses through critical topics such as operations on functions, composition of functions, and the algebra of functions, ensuring students grasp the fundamental building blocks necessary for more complex algebraic thinking.Several times the teaching diverges from how the subject is commonly taught. Examples include absolute value, determining the inverse of a function, and completing the square. The text is as devoid of "gimmicks" or "tricks" as possible, leaning on the fundamentals of good algebra. Also, there is a high reliance on fractions, rather than decimal numbers, to help equip the student with the better way to read a problem and its solution.This book is written for and dedicated to my grandchildren, and the fact that you're taking at least a glimpse of it is just a huge bonus! Thank you.

Subject:
Education
Mathematics
Material Type:
Textbook
Author:
Dan Cook
Date Added:
08/23/2024
College Algebra Notes and Exercises (GCSU)
Unrestricted Use
CC BY
Rating
0.0 stars

Developed as part of a Round 13 Mini-Grant, these updated supplementary materials for Stitz-Zeager Open Source Mathematics and the LibGuides Open Course for College Algebra at GCSU include notes and exercises on equations, inequalities, functions, polynomial and rational functions, and exponential and logarithmic functions are included in one .zip file.

Subject:
Algebra
Mathematics
Material Type:
Activity/Lab
Lecture Notes
Provider:
Georgia Gwinnett College
Author:
Janice Alves
Date Added:
10/03/2022
College Algebra & Trigonometry
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This College Algebra text will cover a combination of classical algebra and analytic geometry, with an introduction to the transcendental exponential and logarithmic functions. If mathematics is the language of science, then algebra is the grammar of that language. Like grammar, algebra provides a structure to mathematical notation, in addition to its uses in problem solving and its ability to change the appearance of an expression without changing the value.

Subject:
Algebra
Mathematics
Trigonometry
Material Type:
Textbook
Author:
Richard W. Beveridge
Date Added:
12/03/2019
College Algebra for the Managerial Sciences
Conditional Remix & Share Permitted
CC BY-SA
Rating
0.0 stars

Short Description:
This book was gathered to use in a 100-level mathematics course at the College Algebra level. Students are expected to begin at an intermediate algebra level. It is geared primarily toward business majors, it can also be useful for social science and other majors as a quantitative studies course.

Word Count: 85748

Included H5P activities: 7

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Subject:
Mathematics
Material Type:
Textbook
Author:
Eric Foley
Terri Manthey
Date Added:
10/11/2021
College Statistics
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Word Count: 236866

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Subject:
Mathematics
Statistics and Probability
Material Type:
Textbook
Provider:
St. Clair College
Date Added:
07/01/2022
Combinatorial Analysis
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course analyzes combinatorial problems and methods for their solution. Topics include: enumeration, generating functions, recurrence relations, construction of bijections, introduction to graph theory, network algorithms, and extremal combinatorics.

Subject:
Mathematics
Material Type:
Full Course
Provider Set:
MIT OpenCourseWare
Author:
Stanley, Richard
Date Added:
09/01/2014
Combinatorial Optimization
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Combinatorial Optimization provides a thorough treatment of linear programming and combinatorial optimization. Topics include network flow, matching theory, matroid optimization, and approximation algorithms for NP-hard problems.

Subject:
Applied Science
Computer Science
Engineering
Mathematics
Material Type:
Full Course
Provider Set:
MIT OpenCourseWare
Author:
Vempala, Santosh
Date Added:
09/01/2003
Combinatorics
Conditional Remix & Share Permitted
CC BY-SA
Rating
0.0 stars

In the first part of this video introduction to combinatorics, we introduce factorial notation to efficiently describe the ways we can arrange distinguishable objects in a row. Next, we count the combinations of L objects that can be grabbed from a container of L + N total objects. Finally, we use the formula for combinations to derive the binomial theorem.

Subject:
Mathematics
Material Type:
Lecture Notes
Provider:
Look At Physics
Provider Set:
A Mathematical Way to Think About Biology
Author:
David Liao
Date Added:
10/08/2012
Common Online Data Analysis Platform (CODAP) Start-Up Guide
Read the Fine Print
Some Rights Reserved
Rating
0.0 stars

CODAP (Common Online Data Analysis Platform) is an easy to use data analysis environment that can be used in a wide variety of educational settings. CODAP is designed for grades 5 through 14, and aimed at teachers and curriculum developers. CODAP can be used across the curriculum to help students summarize, visualize, and interpret data, Conadvancing their skills to use data as evidence to support a claim.

Subject:
Applied Science
Mathematics
Statistics and Probability
Material Type:
Teaching/Learning Strategy
Author:
Concord Consortium
Date Added:
08/10/2020
Comparing Climate Records from Multiple Locations
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This activity applies to Teaching Principle 2: Climate is regulated by complex interactions among components of the Earth System. It specifically addresses Concept 2A: Earth's climate is influenced by interactions involving the sun, ocean, atmosphere, clouds, ice, land, and life. Climate varies by region as a result of local differences in these interactions. It is anticipated that the activity will take two 50 - 75 minute class periods with additional time for follow-up assessment.
Students use web resources to identify climate patterns and distributions and
synthesize the information to develop an understanding of the global variation.

Students develop tables of temperature and precipitation averages and also identify and describe an extreme weather event. This exercise is an inquiry-style lesson and can easily be adapted for use in or out of the classroom.

Note: Prior to this assignment, students should receive some information on how to sample climate data from the GLOBE or NASA sets, or how to find quality online resources about climate and climate variability. This could be done as a walk-through, in-class tutorial of government/ university research centers and SERC sites, comparing the information in each to less reliable sources such as Wikipedia.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

Subject:
Applied Science
Biology
Environmental Science
Life Science
Mathematics
Measurement and Data
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Beth Christensen
Date Added:
09/15/2022