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Our team participated in several sessions of the 2023 OECD International Conference on AI in Work, Innovation, Productivity and Skills (AI-WIPS 2023) as asynchronous post-conference webinar replays. Our presentation examined both the content of the presentation (the impact of AI across many dimensions) and the method of delivery and its success as a learning medium.

The following infographic summarizes our findings about the learning technology (online conference/webinar), and our individual reports will focus on our areas of interest with regard to generative AI in learning.

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Click here to view online or download as PDF.

References

The following resources were used in the creation of our live presentation and this infographic summary:

References

Centeno, V. G. (2021). The OECD: actor, arena, instrument. Globalisation, Societies and Education, 19(2), 108–121. https://doi.org/10.1080/14767724.2021.1882958

Gegenfurtner, A., & Ebner, C. (2019). Webinars in higher education and professional training: A meta-analysis and systematic review of randomized controlled trials. Educational Research Review, 28. https://doi.org/10.1016/J.EDUREV.2019.100293

Hill, J. R., Song, L., & West, R. E. (2009). Social learning theory and web-based learning environments: A review of research and discussion of implications. American Journal of Distance Education, 21(1), 88–103. https://doi.org/10.1080/08923640902857713

OECD. (n.d.). About the OECD. https://www.oecd.org/about/

OECD. (2023a). Artificial intelligence in work, innovation, productivity and skills conference 2023. https://www.oecd-events.org/ai-wips-2023

OECD. (2023b). OECD AI-WIPS 2023 – Speakers. https://www.oecd-events.org/ai-wips-2023/speakers

Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development.

UNESCO (2023, April 28). Artificial Intelligence: UNESCO launches Women4Ethical AI expert platform to advance gender equality [Press release]. https://www.unesco.org/en/articles/artificial-intelligence-unesco-launches-women4ethical-ai-expert-platform-advance-gender-equality?hub=32618

Woo, Y., & Reeves, T. C. (2007). Meaningful interaction in web-based learning: A social constructivist interpretation. The Internet and higher education, 10(1), 15-25.

Woo, Y., & Reeves, T. C. (2008). Interaction in Asynchronous Web-Based Learning Environments. Journal of Asynchronous Learning Networks, 12, 179-194.

The World Bank. (2022). Population, total – OECD members. https://data.worldbank.org/indicator/SP.POP.TOTL?locations=OE

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International Journal of Educational Technology in Higher Education, 16(1), 1-27.

Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., … & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021, 1-18.