Lessons Learned for AI Education with Elementary Students and Teachers
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| Title: | Lessons Learned for AI Education with Elementary Students and Teachers |
|---|---|
| Language: | English |
| Authors: | Ottenbreit-Leftwich, Anne (ORCID |
| Source: | International Journal of Artificial Intelligence in Education. Jun 2023 33(2):267-289. |
| Availability: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: | Y |
| Page Count: | 23 |
| Publication Date: | 2023 |
| Sponsoring Agency: | National Science Foundation (NSF) |
| Contract Number: | DRL1934128 DRL1934153 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Elementary Education Grade 4 Intermediate Grades Grade 5 Middle Schools |
| Descriptors: | Elementary School Students, Grade 4, Grade 5, Artificial Intelligence, Curriculum Development, Fundamental Concepts, Elementary School Curriculum, Ethics, Curriculum Design |
| DOI: | 10.1007/s40593-022-00304-3 |
| ISSN: | 1560-4292 1560-4306 |
| Abstract: | With accelerating advances in artificial intelligence, it is clear that introducing K-12 students to AI is essential for preparation to interact with and potentially develop AI technologies. To succeed as the workers, creators, and innovators of the future, we argue students should encounter core concepts of AI as early as elementary school. However, building a curriculum that introduces AI content to K-12 students presents significant challenges, such as connecting to prior knowledge, developing curricula that are meaningful for students, and creating content that teachers feel confident to teach. To lay the groundwork for elementary AI education, we investigated the everyday experiences and ideas of students in grades 4 and 5 (ages 9 to 11) about AI to inform possible entry points for learning. This yielded themes around student conceptions, examples, and ethics of AI. For each theme, we juxtapose the student ideas with the teachers' reflections on those ideas as frames of reference to consider in co-designing curricular approaches. |
| Abstractor: | As Provided |
| Entry Date: | 2023 |
| Accession Number: | EJ1387323 |
| Database: | ERIC |
| Abstract: | With accelerating advances in artificial intelligence, it is clear that introducing K-12 students to AI is essential for preparation to interact with and potentially develop AI technologies. To succeed as the workers, creators, and innovators of the future, we argue students should encounter core concepts of AI as early as elementary school. However, building a curriculum that introduces AI content to K-12 students presents significant challenges, such as connecting to prior knowledge, developing curricula that are meaningful for students, and creating content that teachers feel confident to teach. To lay the groundwork for elementary AI education, we investigated the everyday experiences and ideas of students in grades 4 and 5 (ages 9 to 11) about AI to inform possible entry points for learning. This yielded themes around student conceptions, examples, and ethics of AI. For each theme, we juxtapose the student ideas with the teachers' reflections on those ideas as frames of reference to consider in co-designing curricular approaches. |
|---|---|
| ISSN: | 1560-4292 1560-4306 |
| DOI: | 10.1007/s40593-022-00304-3 |
