Farhana Faruqe
Adv. Artif. Intell. Mach. Learn., 2 (4):580-587
Farhana Faruqe : Gorge Washington University
DOI: 10.54364/AAIML.2022.1140
Article History: Received on: 05-Dec-22, Accepted on: 24-Dec-22, Published on: 30-Dec-22
Corresponding Author: Farhana Faruqe
Email: faruqe@gwmail.gwu.edu
Citation: Farhana Faruqe (2022). Competency Model Approach to AI Literacy: Research-based Path from Initial Framework to Model. Adv. Artif. Intell. Mach. Learn., 2 (4 ):580-587
The recent developments in Artificial Intelligence (AI)
technologies challenge educators and educational institutions to respond with curriculum and resources that
prepare students of all ages with the foundational
knowledge and skills for success in the AI workplace. Research on AI Literacy could lead to an effective and practical platform for developing these skills.
We propose and advocate for a pathway for developing
AI Literacy as a pragmatic and useful tool for AI education. Such a discipline requires moving beyond a conceptual framework to a multi-level competency model
with associated competency assessments. This approach
to an AI Literacy could guide future development of instructional content as we prepare a range of groups (i.e.,
consumers, coworkers, collaborators, and creators). We
propose here a research matrix as an initial step in the
development of a roadmap for AI Literacy research,
which requires a systematic and coordinated effort with
the support of publication outlets and research funding,
to expand the areas of competency and assessments.