TY - GEN
T1 - High School Students' Sense-making of Artificial Intelligence and Machine Learning
AU - Tatar, Cansu
AU - Culbreth, Duncan
AU - Jiang, Shiyan
AU - Rose, Carolyn
AU - Chao, Jie
AU - Ellis, Rebecca
AU - Jiang, Shan
AU - Wiedemann, Kenia
N1 - Funding Information:
This work was supported by NSF Grant DRL-1949110. The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agency.
Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/11/17
Y1 - 2022/11/17
N2 - This paper presents high school students' sense-making of Artificial Intelligence (AI) and Machine Learning (ML) before and after they participated in a three-week technology-enhanced AI curriculum experience. We analyzed students' pre-And-post assessment responses, responses to activity-specific questions, and classroom video recordings to explore their understanding of AI and ML. Our analysis revealed that students' AI and ML conceptions shifted from media-informed concepts and presuppositions to more structured and process-oriented understandings after they completed AI curriculum modules. Our ongoing and future work aims to develop a deeper understanding of how students' sense-making of AI and ML is influenced by their prior knowledge, experiences, and perspectives as well as the curriculum activities, tasks, and resources.
AB - This paper presents high school students' sense-making of Artificial Intelligence (AI) and Machine Learning (ML) before and after they participated in a three-week technology-enhanced AI curriculum experience. We analyzed students' pre-And-post assessment responses, responses to activity-specific questions, and classroom video recordings to explore their understanding of AI and ML. Our analysis revealed that students' AI and ML conceptions shifted from media-informed concepts and presuppositions to more structured and process-oriented understandings after they completed AI curriculum modules. Our ongoing and future work aims to develop a deeper understanding of how students' sense-making of AI and ML is influenced by their prior knowledge, experiences, and perspectives as well as the curriculum activities, tasks, and resources.
KW - Artificial Intelligence
KW - Curriculum Intervention
KW - High School
KW - Machine Learning
KW - Sense-making
UR - https://www.scopus.com/pages/publications/85142921432
U2 - 10.1145/3564721.3565958
DO - 10.1145/3564721.3565958
M3 - Conference article published in proceeding or book
AN - SCOPUS:85142921432
T3 - ACM International Conference Proceeding Series
BT - Proceedings of 22nd Koli Calling International Conference on Computing Education Research, Koli Calling 2022
PB - Association for Computing Machinery
T2 - 22nd Koli Calling International Conference on Computing Education Research, Koli Calling 2022
Y2 - 17 November 2022 through 20 November 2022
ER -