poster

Addressing AI and Data Literacy in Teacher Education: A Review of Existing Educational Frameworks

Authors:

Viktoriya Olari,

Ralf RomeikeAuthors Info & Claims

WiPSCE '21: Proceedings of the 16th Workshop in Primary and Secondary Computing Education

Article No.: 17, Pages 1 - 2

https://doi.org/10.1145/3481312.3481351

Published: 19 October 2021 Publication History

Abstract

Being able to use data and AI technologies responsibly is considered increasingly relevant to all school subjects. Despite this trend, existing AI literacy frameworks used to design educational activities often barely cover data literacy. However, AI cannot be appropriately grasped without data literacy, and working with data requires knowledge of AI on multiple levels. To date, though, no framework has been created that considers AI and data literacy holistically. To address this gap, we examine the relationship between AI and data literacy competencies in existing educational frameworks and propose a preliminary approach that utilizes the data lifecycle to reflect on data literacy competencies relevant to AI. The findings provide a basis for developing a comprehensive approach to the education of K-12 teachers of all subjects in AI and data literacy.

References

[1]

H. Payne Blakeley and Cynthia Breazeal. 2019. An Ethics of Artificial Intelligence: Curriculum for Middle School Students. MIT Media Lab.

[2]

F. Javier Calzada-Prado and Miguel Marzal. 2013. Incorporating Data Literacy into Information Literacy Programs: Core Competencies and Contents. Libri 63(2013). https://doi.org/10.1515/libri-2013-0010

[3]

Beverly Clarke. 2019. Artificial Intelligence - Alternate Curriculum Unit.

[4]

European Commission. 2020. Digital Education Action Plan 2021-2027: Resetting education and training for the digital age.

[5]

Kate Farrell and Jo Watts. 2020. Data Science: Educators’ Guide to the National Progression Award. The University of Edinburgh.

[6]

Andreas Grillenberger and Ralf Romeike. 2017. Key concepts of data management: an empirical approach. 17th Koli Calling International Conference on Computing Education Research.

Digital Library

[7]

J. Henderson and Michael Corry. [n.d.]. Data literacy training and use for educational professionals. In Journal of Research in Innovative Teaching & Learning.

[8]

C. D. L. Higuera. [n.d.]. A report about Education, Training Teachers and Learning Artificial Intelligence: Overview of key issues.

[9]

Duri Long and Brian Magerko. 2020. What is AI Literacy? Competencies and Design Considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (2020). https://doi.org/10.1145/3313831.3376727

Digital Library

[10]

Chantel Ridsdale, James Rothwell, Mike Smit, Michael Bliemel, Dean Irvine, Dan Kelley, Stan Matwin, Brad Wuetherick, and Hossam Ali-Hassan. 2015. Strategies and Best Practices for Data Literacy Education Knowledge Synthesis Report. https://doi.org/10.13140/RG.2.1.1922.5044

[11]

David Touretzky, Christina Gardner-McCune, Fred Martin, and Deborah Seehorn. 2019. Envisioning AI for K-12: What Should Every Child Know about AI?Thirty-Third AAAI Conference on Artificial Intelligence 33 (2019). https://doi.org/10.1609/aaai.v33i01.33019795

Digital Library

[12]

Anu Vazhayil, R. Shetty, R. R. Bhavani, and N. Akshay. 2019. Focusing on Teacher Education to Introduce AI in Schools: Perspectives and Illustrative Findings. 2019 IEEE Tenth International Conference on Technology for Education (T4E) (2019), 71–77.

[13]

Randi Williams. 2021. How to Train Your Robot: Project-Based AI and Ethics Education for Middle School Classrooms. Association for Computing Machinery.

[14]

Randi Williams, Stephen P. Kaputsos, and Cynthia Breazeal. 2021. Teacher Perspectives on How To Train Your Robot: A Middle School AI and Ethics Curriculum. Proceedings of the AAAI Conference on Artificial Intelligence 35, 17(2021).

[15]

Randi Williams, Hae Won Park, Lauren Oh, and Cynthia Breazeal. 2019. PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education. In Proceedings of the AAAI Conference on Artificial Intelligence.

Digital Library

[16]

Xiaofei Zhou, Jessica Van Brummelen, and Phoebe Lin. 2020. Designing AI Learning Experiences for K-12: Emerging Works, Future Opportunities and a Design Framework. arXiv preprint arXiv:2009.10228(2020).

Cited By

Donate-Beby BGarcía-Peñalvo FAmo-Filva DAguayo-Mauri S(2025)Filling the gap in K-12 data literacy competence assessment: Design and initial validation of a questionnaireComputers in Human Behavior Reports10.1016/j.chbr.2024.100583(100583)Online publication date: Jan-2025
https://doi.org/10.1016/j.chbr.2024.100583
Lérias EGuerra CFerreira P(2024)Literacy in Artificial Intelligence as a Challenge for Teaching in Higher Education: A Case Study at Portalegre Polytechnic UniversityInformation10.3390/info1504020515:4(205)Online publication date: 5-Apr-2024
https://doi.org/10.3390/info15040205
Filo YRabin EMor Y(2024)An Artificial Intelligence Competency Framework for Teachers and Students: Co-created With TeachersEuropean Journal of Open, Distance and E-Learning10.2478/eurodl-2024-001226:s1(93-106)Online publication date: 29-Nov-2024
https://doi.org/10.2478/eurodl-2024-0012
Show More Cited By

Recommendations

Introduction of Artificial Intelligence Literacy and Data Literacy in Computer Science Teacher Education
Koli Calling '23: Proceedings of the 23rd Koli Calling International Conference on Computing Education Research

The integration of artificial intelligence (AI) literacy and data literacy into school education is increasingly proposed in educational frameworks, leading to an urgent need to train computer science teachers in AI and data literacy. However, there is ...
Artificial Intelligence in K-12 Education: eliciting and reflecting on Swedish teachers' understanding of AI and its implications for teaching & learning
Abstract
Uncovering patterns and trends in vast, ever-increasing quantities of data has been enabled by different machine learning methods and techniques used in Artificial Intelligence (AI) systems. Permeating many aspects of our lives and influencing our ...
A Review of International Models of Computer Science Teacher Education
ITiCSE-WGR '22: Proceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education

Throughout the world, Computer Science Education (CSE) has ex- panded exponentially over the past decade, focused on teaching primary and secondary students computing ideas and tools. To teach all these students computer science (CS), models for teacher ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

WiPSCE '21: Proceedings of the 16th Workshop in Primary and Secondary Computing Education

October 2021

119 pages

ISBN:9781450385718

DOI:10.1145/3481312

Copyright © 2021 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2021

Check for updates

Author Tags

Qualifiers

Poster
Research
Refereed limited

Conference

WiPSCE '21

WiPSCE '21: The 16th Workshop in Primary and Secondary Computing Education

October 18 - 20, 2021

Virtual Event, Germany

Acceptance Rates

Overall Acceptance Rate 104 of 279 submissions, 37%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

22
Total Citations
View Citations
1,015
Total Downloads

Downloads (Last 12 months)435
Downloads (Last 6 weeks)60

Reflects downloads up to 14 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Donate-Beby BGarcía-Peñalvo FAmo-Filva DAguayo-Mauri S(2025)Filling the gap in K-12 data literacy competence assessment: Design and initial validation of a questionnaireComputers in Human Behavior Reports10.1016/j.chbr.2024.100583(100583)Online publication date: Jan-2025
https://doi.org/10.1016/j.chbr.2024.100583
Lérias EGuerra CFerreira P(2024)Literacy in Artificial Intelligence as a Challenge for Teaching in Higher Education: A Case Study at Portalegre Polytechnic UniversityInformation10.3390/info1504020515:4(205)Online publication date: 5-Apr-2024
https://doi.org/10.3390/info15040205
Filo YRabin EMor Y(2024)An Artificial Intelligence Competency Framework for Teachers and Students: Co-created With TeachersEuropean Journal of Open, Distance and E-Learning10.2478/eurodl-2024-001226:s1(93-106)Online publication date: 29-Nov-2024
https://doi.org/10.2478/eurodl-2024-0012
Neuhaus USchulz MSchröder HHerrmann F(2024)Kompetenzfelder künftiger Beschäftigter im Bereich Künstlicher IntelligenzCompetencies for Future Employees in the Field of Artificial IntelligenceHMD Praxis der Wirtschaftsinformatik10.1365/s40702-024-01046-761:2(471-484)Online publication date: 24-Feb-2024
https://doi.org/10.1365/s40702-024-01046-7
Zhang CRice RWang L(2024)College students’ literacy, ChatGPT activities, educational outcomes, and trust from a digital divide perspectiveNew Media & Society10.1177/14614448241301741Online publication date: 5-Dec-2024
https://doi.org/10.1177/14614448241301741
Tang NZhi JKuo TKainaroi CNorthup JHolstein KZhu HHeidari HShen H(2024)AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless ServicesProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658935(713-732)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3630106.3658935
Mikeladze TMeijer PVerhoeff R(2024)A comprehensive exploration of artificial intelligence competence frameworks for educators: A critical reviewEuropean Journal of Education10.1111/ejed.1266359:3Online publication date: 14-Apr-2024
https://doi.org/10.1111/ejed.12663
Hernandez-Serrano MZerwas FMatuk CChatufale GOchoa XDikker S(2024)Evaluation of Data Literacy Frameworks and a Self-Data Curriculum for High School Students2024 21st International Conference on Information Technology Based Higher Education and Training (ITHET)10.1109/ITHET61869.2024.10837612(1-7)Online publication date: 6-Nov-2024
https://doi.org/10.1109/ITHET61869.2024.10837612
Younis B(2024)Effectiveness of a professional development program based on the instructional design framework for AI literacy in developing AI literacy skills among pre-service teachersJournal of Digital Learning in Teacher Education10.1080/21532974.2024.2365663(1-17)Online publication date: 13-Jun-2024
https://doi.org/10.1080/21532974.2024.2365663
Lee A(2024)Staying ahead with generative artificial intelligence for learning: navigating challenges and opportunities with 5Ts and 3RsAsia Pacific Journal of Education10.1080/02188791.2024.230517144:1(81-93)Online publication date: 18-Jan-2024
https://doi.org/10.1080/02188791.2024.2305171
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Figures

Tables

Media

View Table of Conten