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  • Diversity Education through Creativity

    Document thumbnail: Diversity Education through Creativity
    Type:
    Document
    Description/Abstract:
    This paper explores the question of why it is important to apply culturally responsive teaching within the classroom, through creativity. Teaching diversity exposes students to a variety of cultural and social groups. This educational experience prepares students to become better citizens, within their communities. Through the creative process, students will examine topics which, both, encompass and promote diversity. Additionally, students will be able to construct their own independent, inclusive environment, through art making; this increase in diversity education relates not only to the race and ethnicity of our students, it also includes religion, economic status, gender identity, language background, and more. Adopting inclusion and awareness around multicultural education and taking a culturally responsive approach to teaching is a benefit to both students and instructors. Not only does creating a better multicultural awareness and inclusive environment help students with different backgrounds and needs succeed, but it encourages acceptance and helps prepare students to thrive in a diverse world. Keywords: cultural diversity, curriculum, teaching, art, social reconstructionism
    Creator/Author:
    Sydney Barth; Courtney Moreland, and Mahnaz Amin Foroughi
    Submitter:
    smith4kk@ucmail.uc.edu
    Date Uploaded:
    05/18/2021
    Date Modified:
    05/18/2021
    Date Created:
    2021-04-22
    License:
    All rights reserved

  • Vocabulary Count Feature Vectors for Medical School Classifier

    Dataset thumbnail: Vocabulary Count Feature Vectors for Medical School Classifier
    Type:
    Dataset
    Description/Abstract:
    Classifier algorithms use the features (collectively known as Feature Vectors) of each item in a dataset to assess the classification to which that item belongs. In this classifier approach, each item represents one document containing the application essay combined with unstructured language describing relevant activities of a single applicant. For privacy, the full text of this document is not provided. Instead, each document is represented only by its features. The feature vector for this classifier is based on the term frequency for each of the identified terms. E.G. Doc_A contains 0 occurrences of any terms identified as family medicine vocabulary, and 10 occurrences of terms from the the non-family-medicine vocabulary.
    Creator/Author:
    Boylan, Andrew and McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    05/14/2021
    Date Modified:
    05/14/2021
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Vocabulary Comparison of Medical School Applications

    Dataset thumbnail: Vocabulary Comparison of Medical School Applications
    Type:
    Dataset
    Description/Abstract:
    W2V takes terms from a large corpus of text and models them onto a vector space, based on word associations from your dataset. These Word Associations take into account each word's immediate context (its ten neighboring words).​ Following the data modeling (large-scale unstructured text), The platform then generates a visualization of this vector space, which lets us perform analysis e.g. detect synonymous/synonym-ish words and highlight related words. At the heart of this project, is W2V's ability to identify key words that were more frequent - and more unique - to each group using results from 2 different W2V models – one for each group's application texts.​ We coded these Key Terms into categories, then analyzed those categories for overarching themes.​ ​
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    05/14/2021
    Date Modified:
    05/14/2021
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Curriculum Proposal - Care, Relationships, and Collaboration

    Document thumbnail: Curriculum Proposal - Care, Relationships, and Collaboration
    Type:
    Document
    Description/Abstract:
    Empathy is an essential aspect for all facets of an educational system, specifically in art classrooms. Lack of empathy and collaborative skills can cause issues in relations and classroom management throughout the school year. Utilizing resources such as group lessons, community activities, and classroom reflections can allow for the kind of collaboration needed for students, teachers, and all those involved in a school system to succeed in their endeavors.
    Creator/Author:
    Celesti, Oliva and Hughes, Jennah
    Submitter:
    smith4kk@ucmail.uc.edu
    Date Uploaded:
    05/07/2021
    Date Modified:
    05/07/2021
    Date Created:
    2021-04-22
    License:
    All rights reserved

  • Addressing the Underrepresentation of Teachers Based on Race, Gender and Sexual Orientation

    Document thumbnail: Addressing the Underrepresentation of Teachers Based on Race, Gender and Sexual Orientation
    Type:
    Document
    Description/Abstract:
    The education field has historically underrepresented teachers based on gender, race, and sexual orientation. This has led to a severe lack of diversity in the field. By utilizing professional workshops, educators will have greater awareness of barriers that have caused such underrepresentation. Educators will be given tools to reflect on how this facet of the educational system can be improved.
    Creator/Author:
    Gray, Joe and Odaka, Haely
    Submitter:
    smith4kk@ucmail.uc.edu
    Date Uploaded:
    05/07/2021
    Date Modified:
    05/07/2021
    Date Created:
    2021-04-22
    License:
    All rights reserved

  • Boat motor mount/stand

    Student Work thumbnail: Boat motor mount/stand
    Type:
    Student Work
    Description/Abstract:
    Senior design capstone report
    Creator/Author:
    Schmidhammer, Noah
    Submitter:
    CEAS Library Staff
    Date Uploaded:
    05/07/2021
    Date Modified:
    05/07/2021
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Utility terrain vehicle (UTV)

    Student Work thumbnail: Utility terrain vehicle (UTV)
    Type:
    Student Work
    Description/Abstract:
    Senior design capstone report
    Creator/Author:
    Birkemeier, Brennen
    Submitter:
    CEAS Library Staff
    Date Uploaded:
    05/06/2021
    Date Modified:
    05/06/2021
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • IRS Classification of Ohio Non-Profit Organizations

    Dataset thumbnail: IRS Classification of Ohio Non-Profit Organizations
    Type:
    Dataset
    Description/Abstract:
    Each row in this dataset depicts a single non-profit organization (NPO), labeled by their Employer Identification Number (EIN). Each row contains the National Taxonomy of Exempt Entities (NTEE) code assigned to each NPO by the IRS (if any) and the official Essential/Non-Essential status connected to that NTEE code.
    Creator/Author:
    Jones, Michael and McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    05/06/2021
    Date Modified:
    05/07/2021
    Date Created:
    2020-11-01
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Hand Coded Essential Classification of Ohio Non-Profit Organizations

    Dataset thumbnail: Hand Coded Essential Classification of Ohio Non-Profit Organizations
    Type:
    Dataset
    Description/Abstract:
    Each row of this dataset depicts a single Ohio-based non-profit organization (NPO) (identified by Employer Identification Number) and a hand-coded determination of their 'essential' status. This determination of essential status is guided by the official IRS definition and based strictly on the NPO's own mission statement and activities language supplied in their 2019 tax form.
    Creator/Author:
    Jones, Michael and McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    05/06/2021
    Date Modified:
    05/06/2021
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Topic Model Results of Ohio Non-Profit Organizations' Mission Language

    Dataset thumbnail: Topic Model Results of Ohio Non-Profit Organizations' Mission Language
    Type:
    Dataset
    Description/Abstract:
    This CSV file contains the topic distribution of each EIN as uncovered using six parallel Latent Dirichlet Allocation (LDA) Topic Models. Each row depicts a topic and topic-score associated with an Ohio NPO (identified by Employer Identification Number) generated from one model run. The sum of topic scores possible for every row associated with an EIN therefore will not exceed 6.0 (6 models x 100%) Topic scores below .01 (1%) are not included. Each topic from the models is further identified as Essential/Non-Essential by subject matter expert, Dr. Michael Jones, guided by the official IRS definition. The topic models are generated on unstructured text language from the mission statement and activities language taken from the 2019 tax forms of Ohio non-profit organizations.
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    05/06/2021
    Date Modified:
    09/20/2021
    Date Created:
    2020-10-03
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)