Cited by 396Artificial Intelligence in EducationEthics and Social Impacts of AITeaching and Learning Programming

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Integrating Ethics and Career Futures with Technical Learning to Promote AI Literacy for Middle School Students: An Exploratory Study

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Zhang, Helen, Lee, Irene, Ali, Safinah, DiPaola, Daniella, Cheng, Yihong, Breazeal, Cynthia·2023·International Journal of Artificial Intelligence in Education

DOI 10.1007/s40593-022-00293-3PMC PMC9084886

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Abstract

The rapid expansion of artificial intelligence (AI) necessitates promoting AI education at the K-12 level. However, educating young learners to become AI literate citizens poses several challenges. The components of AI literacy are ill-defined and it is unclear to what extent middle school students can engage in learning about AI as a sociotechnical system with socio-political implications. In this paper we posit that students must learn three core domains of AI: technical concepts and processes, ethical and societal implications, and career futures in the AI era. This paper describes the design and implementation of the Developing AI Literacy (DAILy) workshop that aimed to integrate middle school students' learning of the three domains. We found that after the workshop, most students developed a general understanding of AI concepts and processes (e.g., supervised learning and logic systems). More importantly, they were able to identify bias, describe ways to mitigate bias in machine learning, and start to consider how AI may impact their future lives and careers. At exit, nearly half of the students explained AI as not just a technical subject, but one that has personal, career, and societal implications. Overall, this finding suggests that the approach of incorporating ethics and career futures into AI education is age appropriate and effective for developing AI literacy among middle school students. This study contributes to the field of AI Education by presenting a model of integrating ethics into the teaching of AI that is appropriate for middle school students.

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Designing and Conducting Mixed Methods Research
Robinson, P. M. (2007) · Australian and New Zealand Journal of Public Health · doi:10.1111/j.1753-6405.2007.00096.x · Cited by 23,362
Whose culture has capital? A critical race theory discussion of community cultural wealth
Yosso *, T. J. (2005) · Race Ethnicity and Education · doi:10.1080/1361332052000341006 · Cited by 8,663 · cited 1×
“This provides further evidence of student engagement as he was active in leveraging existing familial and aspirational capital (Yosso, 2005) to make sense of AI and refine his existing perceptions of AI.”
Background
Untitled work
(2006) · Cited by 7,081
Untitled work
(2018) · Cited by 3,510
What is AI Literacy? Competencies and Design Considerations
Long, D., & Magerko, B. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376727 · Cited by 3,241 · cited 2×
“This approach also aligns well with the use of embodied interaction proposed in the AI Literacy framework (Design Consideration 2: Embodied Interactions, Long & Magerko, 2020) where learners can “put themselves in the agent’s shoes as a way of making sense of the agent’s reasoning process” (p. 598).”
BackgroundMethod
The Psychology of Working Theory.
Duffy, R. D., Blustein, D. L., Diemer, M. A., & Autin, K. L. (2016) · Journal of Counseling Psychology · doi:10.1037/cou0000140 · Cited by 1,209
Planning Early for Careers in Science
Tai, R. H., Liu, C. Q., Maltese, A. V., & Fan, X. (2006) · Science · doi:10.1126/science.1128690 · Cited by 1,102
Envisioning AI for K-12: What Should Every Child Know about AI?
Touretzky, D., Gardner-McCune, C., Martin, F., & Seehorn, D. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.33019795 · Cited by 918
AI Ethics
Coeckelbergh, M. (2020) · The MIT Press eBooks · doi:10.7551/mitpress/12549.001.0001 · Cited by 865
Development and validation of an artificial intelligence anxiety scale: an initial application in predicting motivated learning behavior
Wang, Y., & Wang, Y. (2019) · Interactive Learning Environments · doi:10.1080/10494820.2019.1674887 · Cited by 830

Show all 50 references

Research works printed but not linked: 4

Ali, S., Payne, B. H., Williams, R., Park, H. W., & Breazeal, C. (2019). Constructionism, ethics, and creativity: Developing primary and middle school artificial intelligence education. In International workshop on education in artificial intelligence K-12 (EDUAI’19) (pp. 1–4).
Badham, R., Clegg, C., & Wall, T. (2000). Socio-technical theory. Handbook of Ergonomics. John Wiley.
Payne, B. H. (2020). Can my algorithm be my opinion?: An AI+ ethics curriculum for middle school students (Unpublished master’s thesis). Massachusetts Institute of Technology, Cambridge.
Torrey, L. (2012). Teaching problem-solving in algorithms and AI. 3rd Symposium on Educational Advances in Artificial Intelligence.

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Authors: Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y., & Breazeal, C.
Affiliations: Boston College (US)
Massachusetts Institute of Technology (US)
MIT Media Lab (US)
Corresponding author: Zhang, Helen
ORCID: Zhang, Helen
Lee, Irene
Ali, Safinah
DiPaola, Daniella
Cheng, Yihong
Breazeal, Cynthia
Venue: International Journal of Artificial Intelligence in Education
Publisher: Elsevier BV
Published: 2023-06
Volume: 33
Issue: 2
Pages: 290-324
ISSN: 1560-4292 (ISSN-L)
DOI: 10.1007/s40593-022-00293-3
PMC: PMC9084886
OpenAlex: W4229441880
Cited by: 396
References: 50
Citations by year: 2026: 106 · 2025: 137 · 2024: 107 · 2023: 39
FWCI: 71.75
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by-nc-nd
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
creativecommons.org/licenses/by-nc-nd/4.0/ (vor, 1058 d)
Locations: International Journal of Artificial Intelligence in Education (publishedVersion, cc-by-nc-nd)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
Funders: Directorate for Education and Human Resources (2022502)
Topics: Social Sciences › Education › Artificial Intelligence in Education
Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
Keywords: AI literacy, artificial intelligence in education, junior high school students, AI ethics, machine learning bias, bias mitigation, supervised learning, logical systems, K-12 education, socio-technical systems

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Integrating Ethics and Career Futures with Technical Learning to Promote AI Literacy for Middle School Students: An Exploratory Study

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