• Skip to main content
  • Skip to after header navigation
  • Skip to site footer
ERN: Emerging Researchers National Conference in STEM

ERN: Emerging Researchers National Conference in STEM

  • About
    • About AAAS
    • About the NSF
    • About the Conference
    • Partners/Supporters
    • Project Team
  • Conference
  • Abstracts
    • Undergraduate Abstract Locator
    • Graduate Abstract Locator
    • Abstract Submission Process
    • Presentation Schedules
    • Abstract Submission Guidelines
    • Presentation Guidelines
  • Travel Awards
  • Resources
    • Award Winners
    • Code of Conduct-AAAS Meetings
    • Code of Conduct-ERN Conference
    • Conference Agenda
    • Conference Materials
    • Conference Program Books
    • ERN Photo Galleries
    • Events | Opportunities
    • Exhibitor Info
    • HBCU-UP/CREST PI/PD Meeting
    • In the News
    • NSF Harassment Policy
    • Plenary Session Videos
    • Professional Development
    • Science Careers Handbook
    • Additional Resources
    • Archives
  • Engage
    • Webinars
    • ERN 10-Year Anniversary Videos
    • Plenary Session Videos
  • Contact Us
  • Login

Transdisciplinary Data Scholars Development Program

Undergraduate #52
Discipline: Computer Sciences and Information Management
Subcategory: Education

Ananya Kadir - College of Saint Elizabeth
Co-Author(s): Laquera Motley, Kaylynn Wilson, Katharina Valero and Raphael D. Isokpehi



Hypothesis: Big Data is defined as data that challenge existing methods due to size, complexity, or rate of availability. Students and professionals can excel in understanding, analyzing and handling of Big Data if they participate in learning experiences that equip them to work effectively with data. Methods: Our research project is to design and develop an integrated academic and career development program with a goal to provide participants from pre-college to professionals with learning experiences that enable them to work with data. A first step was to develop a website with resources to facilitate learning experiences on curriculum for transdisciplinary, cognitive expertise, data challenges and leadership. Learning transactions of participants are collected to allow for community learning, discovery and innovation. Results: The Transdisciplinary Data Scholars Development Program website is available at https://goo.gl/oLWTiX. The resource contains resources for performing metacognitive reflections on curriculum topics as well as a series of self-paced learning accomplished through cognitive tutors at the Open Learning Initiative of Carnegie Mellon University (www.oli.cmu.edu). Participants also have opportunities to participate in internship and research experience that incorporate working with Big Data. We are assessing the impacts of participation in academic and career development as well as interest in research. Conclusions: The community of data scholars can help rapidly increase the number of individuals who are equipped with knowledge to work effectively with Big Data.

Funder Acknowledgement(s): Targeted Infusion Project: Developing Quantitative Expertise in the Undergraduate Biology Curriculum (QEUBiC). National Science Foundation (EHR 1435186).

Faculty Advisor: Raphael Isokpehi, isokpehir@cookman.edu

Role: Developed Professional Development Modules on Data Science; involved in organization of a Transdisciplinary Data Scholars Development Program at the university; responsible for creating a website using Google sites and gathering and developing various primary resources for the program's foundation.

Sidebar

Abstract Locators

  • Undergraduate Abstract Locator
  • Graduate Abstract Locator

This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

AAAS

1200 New York Ave, NW
Washington,DC 20005
202-326-6400
Contact Us
About Us

  • LinkedIn
  • Facebook
  • Instagram
  • Twitter
  • YouTube

The World’s Largest General Scientific Society

Useful Links

  • Membership
  • Careers at AAAS
  • Privacy Policy
  • Terms of Use

Focus Areas

  • Science Education
  • Science Diplomacy
  • Public Engagement
  • Careers in STEM

Focus Areas

  • Shaping Science Policy
  • Advocacy for Evidence
  • R&D Budget Analysis
  • Human Rights, Ethics & Law

© 2023 American Association for the Advancement of Science