ED-AI Lit: An Interdisciplinary Framework for AI Literacy in Education

被引:18
作者
Allen, Laura Kristen [1 ,2 ]
Kendeou, Panayiota [1 ]
机构
[1] Univ Minnesota, Minneapolis, MN USA
[2] Univ Minnesota Twin Cities, Educ Psychol, 56 E River Rd, Minneapolis, MN 55455 USA
关键词
AI literacy; education; digital literacy; learning; artificial intelligence; ARTIFICIAL-INTELLIGENCE; COMPREHENSION; KNOWLEDGE;
D O I
10.1177/23727322231220339
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Artificial intelligence (AI) is a transformative force in education. Realizing the full potential of AI in education requires a multidisciplinary and holistic AI literacy framework that can inform research, practice, and policy. This novel ED-AI Lit framework includes six components: Knowledge, Evaluation, Collaboration, Contextualization, Autonomy, and Ethics. This framework stresses the importance of developing a deep understanding of how AI systems function, critically evaluating their implications, and fostering collaborative relationships between individuals and AI.
引用
收藏
页码:3 / 10
页数:8
相关论文
共 57 条
[1]  
Alexander B., 2017, Digital literacy in higher education, Part II: An NMC Horizon project strategic brief, P1
[2]   HOW SUBJECT-MATTER KNOWLEDGE AFFECTS RECALL AND INTEREST [J].
ALEXANDER, PA ;
KULIKOWICH, JM ;
SCHULZE, SK .
AMERICAN EDUCATIONAL RESEARCH JOURNAL, 1994, 31 (02) :313-337
[3]  
Allen L. K., 2022, The handbook of learning analytics, VII, P46, DOI DOI 10.18608/HLA22
[4]  
Allen L. K., 2021, Language and Linguistics Compass, V15
[5]  
[Anonymous], 2010, Common Core State Standards
[6]  
Auxier B., 2020, Parenting Children in the Age of Screens
[7]   Algorithmic Bias in Education [J].
Baker, Ryan S. ;
Hawn, Aaron .
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 2022, 32 (04) :1052-1092
[8]   On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? [J].
Bender, Emily M. ;
Gebru, Timnit ;
McMillan-Major, Angelina ;
Shmitchell, Shmargaret .
PROCEEDINGS OF THE 2021 ACM CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, FACCT 2021, 2021, :610-623
[9]  
Bender Emily M., 2018, Transactions of the Association for Computational Linguistics, V6, P587, DOI [10.1162/tacl_a_00041, DOI 10.1162/TACL_A_00041]
[10]  
Braasch J.L. G., 2018, Handbook of Multiple Source Use