AI Literacy: Definition, Teaching, Evaluation and Ethical Issues

被引：143

作者：

Ng D.T.K. ^{[1
]}

Leung J.K.L. ^{[1
]}

Chu K.W.S. ^{[1
]}

Qiao M.S. ^{[1
]}

机构：

[1] Faculty of Education, University of Hong Kong

来源：

Proceedings of the Association for Information Science and Technology | 2021年 / 58卷 / 01期

关键词：

AI ethics; AI in education; AI learning and teaching; AI literacy; AI literacy questionnaire;

D O I：

10.1002/pra2.487

中图分类号：

学科分类号：

摘要：

Artificial Intelligence (AI) is at the top of the agenda for education leaders today in educating the next generation across the globe. However, public understanding of AI technologies and how to define AI literacy is under-explored. This vision poses upcoming challenges for our next generation to learn about AI. On this note, an exploratory review was conducted to conceptualize the newly emerging concept “AI literacy”, in search for a sound theoretical foundation to define, teach and evaluate AI literacy. Grounded in literature on 18 existing peer-reviewed articles, this review proposed four aspects (i.e, know and understand, use, evaluate, and ethical issues) for fostering AI literacy based on the adaptation of classic literacies. This study sheds light on the consolidated definition, teaching, and ethical concerns on AI literacy, establishing the groundwork for future research such as competency development and assessment criteria on AI literacy. ©, ASIS&T receives an exclusive publication license.

引用

页码：504 / 509

页数：5

共 35 条

[1]

Ahmad M.A., Teredesai A., Eckert C., Fairness, accountability, transparency in AI at scale: Lessons from national programs, Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, (2020)

[2]

Baker T., Smith L., Anissa N., Educ-Ai-Tion Rebooted? Exploring the Future of Artificial Intelligence in Schools and Colleges (London: Nesta), (2019)

[3]

Burgsteiner H., Kandlhofer M., Steinbauer G., Irobot: Teaching the basics of artificial intelligence in high schools, Proceedings of the AAAI Conference on Artificial Intelligence, 30, 1, (2016)

[4]

Chai C.S., Wang X., Xu C., An extended theory of planned behavior for the modelling of Chinese secondary school students’ intention to learn Artificial Intelligence, Mathematics, 8, 11, (2020)

[5]

Chai C.S., Lin P.Y., Jong M.S.Y., Dai Y., Chiu T.K., Huang B., Factors Influencing Students' Behavioral Intention to Continue Artificial Intelligence Learning, 2020 International Symposium on Educational Technology (ISET), pp. 147-150, (2020)

[6]

Dai Y., Chai C.S., Lin P.Y., Jong M.S.Y., Guo Y., Qin J., Promoting students’ well-being by developing their readiness for the artificial intelligence age, Sustainability, 12, 16, (2020)

[7]

Druga S., Vu S.T., Likhith E., Qiu T., Inclusive AI literacy for kids around the world, Proceedings of Fablearn 2019, pp. 104-111, (2019)

[8]

Ertmer P.A., Ottenbreit-Leftwich A.T., Teacher technology change: How knowledge, confidence, beliefs, and culture intersect, Journal of Research on Technology in Education, 42, 3, pp. 255-284, (2010)

[9]

Fourtane S., Ethics of AI: Benefits and Risks of Artificial Intelligence Systems. Interesting Engineering, (2020)

[10]

Genlott A.A., Gronlund A., Improving literacy skills through learning reading by writing: The iWTR method presented and tested, Computers & Education, 67, pp. 98-104, (2013)

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