Ethical Thinking: Integration and Measurement in an AI Curriculum for Middle-High School Students.

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Title: Ethical Thinking: Integration and Measurement in an AI Curriculum for Middle-High School Students.
Authors: STUMP, Glenda S.1 gsstump1016@gmail.com, KANG, Shinyi2 s.kang@ikmz.uzh.ch, MASLA, John3 j_masla@education.mit.edu, BOSCH, Christina A.3 cabosch@education.mit.edu, ABELSON, Hal4 hal@mit.edu, KLOPFER, Eric5 klopfer@mit.edu, BREAZEAL, Cynthia6 cynthiab@media.mit.edu
Source: Informatics in Education. Dec2025, Vol. 24 Issue 4, p815-844. 30p.
Subject Terms: *Secondary education, *Project method in teaching, *Curriculum planning, *Evaluation methodology, *Teaching methods, Moral reasoning, Stakeholder analysis
Abstract: Ethical thinking and reasoning is considered a core component of artificial intelligence (AI) literacy. However, there is a lack of strategies and assessments to promote and measure students’ ethical thinking in AI, particularly in K-12 education. In this paper, we discuss how RAICA, a project-based AI literacy curriculum integrates ethics into its framework and instructional resources. We employ a mixed-methods convergent design to obtain different yet complementary data on ethical thinking as an outcome mediated by diverse RAICA materials. Data analysis revealed that teachers utilized a variety of instructional strategies to foster students’ ethical thinking and that students actively engaged in ethical thinking activities, resulting in a developing understanding of stakeholders and potential benefits/harms of AI. Our work makes a key contribution to AI education by providing empirical evidence to support mechanisms for integration and assessment of ethical thinking within AI literacy curricula. [ABSTRACT FROM AUTHOR]
Copyright of Informatics in Education is the property of Informatics in Education and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Ethical Thinking: Integration and Measurement in an AI Curriculum for Middle-High School Students.
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  Data: <searchLink fieldCode="AR" term="%22STUMP%2C+Glenda+S%2E%22">STUMP, Glenda S.</searchLink><relatesTo>1</relatesTo><i> gsstump1016@gmail.com</i><br /><searchLink fieldCode="AR" term="%22KANG%2C+Shinyi%22">KANG, Shinyi</searchLink><relatesTo>2</relatesTo><i> s.kang@ikmz.uzh.ch</i><br /><searchLink fieldCode="AR" term="%22MASLA%2C+John%22">MASLA, John</searchLink><relatesTo>3</relatesTo><i> j_masla@education.mit.edu</i><br /><searchLink fieldCode="AR" term="%22BOSCH%2C+Christina+A%2E%22">BOSCH, Christina A.</searchLink><relatesTo>3</relatesTo><i> cabosch@education.mit.edu</i><br /><searchLink fieldCode="AR" term="%22ABELSON%2C+Hal%22">ABELSON, Hal</searchLink><relatesTo>4</relatesTo><i> hal@mit.edu</i><br /><searchLink fieldCode="AR" term="%22KLOPFER%2C+Eric%22">KLOPFER, Eric</searchLink><relatesTo>5</relatesTo><i> klopfer@mit.edu</i><br /><searchLink fieldCode="AR" term="%22BREAZEAL%2C+Cynthia%22">BREAZEAL, Cynthia</searchLink><relatesTo>6</relatesTo><i> cynthiab@media.mit.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Informatics+in+Education%22">Informatics in Education</searchLink>. Dec2025, Vol. 24 Issue 4, p815-844. 30p.
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  Data: *<searchLink fieldCode="DE" term="%22Secondary+education%22">Secondary education</searchLink><br />*<searchLink fieldCode="DE" term="%22Project+method+in+teaching%22">Project method in teaching</searchLink><br />*<searchLink fieldCode="DE" term="%22Curriculum+planning%22">Curriculum planning</searchLink><br />*<searchLink fieldCode="DE" term="%22Evaluation+methodology%22">Evaluation methodology</searchLink><br />*<searchLink fieldCode="DE" term="%22Teaching+methods%22">Teaching methods</searchLink><br /><searchLink fieldCode="DE" term="%22Moral+reasoning%22">Moral reasoning</searchLink><br /><searchLink fieldCode="DE" term="%22Stakeholder+analysis%22">Stakeholder analysis</searchLink>
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  Data: Ethical thinking and reasoning is considered a core component of artificial intelligence (AI) literacy. However, there is a lack of strategies and assessments to promote and measure students’ ethical thinking in AI, particularly in K-12 education. In this paper, we discuss how RAICA, a project-based AI literacy curriculum integrates ethics into its framework and instructional resources. We employ a mixed-methods convergent design to obtain different yet complementary data on ethical thinking as an outcome mediated by diverse RAICA materials. Data analysis revealed that teachers utilized a variety of instructional strategies to foster students’ ethical thinking and that students actively engaged in ethical thinking activities, resulting in a developing understanding of stakeholders and potential benefits/harms of AI. Our work makes a key contribution to AI education by providing empirical evidence to support mechanisms for integration and assessment of ethical thinking within AI literacy curricula. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Informatics in Education is the property of Informatics in Education and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.15388/infedu.2025.29
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      – SubjectFull: Project method in teaching
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      – SubjectFull: Curriculum planning
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      – SubjectFull: Evaluation methodology
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      – SubjectFull: Teaching methods
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      – SubjectFull: Moral reasoning
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      – SubjectFull: Stakeholder analysis
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              Text: Dec2025
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