ED-AI Lit: An Interdisciplinary Framework for AI Literacy in Education
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- 18 December 2023
- journal article
- research article
- Published by SAGE Publications in Policy Insights from the Behavioral and Brain Sciences
- Vol. 11 (1) , 3-10
Abstract
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.Keywords
This publication has 40 references indexed in Scilit:
- Reading ComprehensionPolicy Insights from the Behavioral and Brain Sciences, 2016
- Improvization and strategic risk-taking in informal learning with digital media literacyLearning, Media and Technology, 2012
- Source Evaluation, Comprehension, and Learning in Internet Science Inquiry TasksAmerican Educational Research Journal, 2009
- The effects of choice on intrinsic motivation and related outcomes: A meta-analysis of research findings.Psychological Bulletin, 2008
- The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of BehaviorPsychological Inquiry, 2000
- Attaining Self-Regulation2000
- The Construction of Shared Knowledge in Collaborative Problem Solving1995
- How Subject-Matter Knowledge Affects Recall and InterestAmerican Educational Research Journal, 1994
- Historical problem solving: A study of the cognitive processes used in the evaluation of documentary and pictorial evidence.Journal of Educational Psychology, 1991
- The role of knowledge in discourse comprehension: A construction-integration model.Psychological Review, 1988