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ARTIFICIAL INTELLIGENCE IN EDUCATION : 23RD INTERNATIONAL CONFERENCE, AIED 2022, DURHAM, UK, JULY 27–31, 2022, PROCEEDINGS, PART

Tekijä: Maria Mercedes Rodrigo (ed.); Noburu Matsuda (ed.); Alexandra I. Cristea (ed.); Vania Dimitrova (ed.)
Kustantaja: Springer (2022)
Saatavuus: Noin 17-20 arkipäivää

EUR 117,20

ARTIFICIAL INTELLIGENCE IN EDUCATION. POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS

Tekijä: Ning Wang (ed.); Genaro Rebolledo-Mendez (ed.); Vania Dimitrova (ed.); Noboru Matsuda (ed.); Olga C. Santos (ed.)
Kustantaja: Springer (2023)
Saatavuus: Noin 17-20 arkipäivää

EUR 126,80

ARTIFICIAL INTELLIGENCE IN EDUCATION. POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS

Tekijä: Maria Mercedes Rodrigo (ed.); Noburu Matsuda (ed.); Alexandra I. Cristea (ed.); Vania Dimitrova (ed.)
Kustantaja: Springer (2022)
Saatavuus: Noin 17-20 arkipäivää

EUR 97,90

Artificial Intelligence in Education : 23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part

Maria Mercedes Rodrigo (ed.), Noburu Matsuda (ed.), Alexandra I. Cristea (ed.), Vania Dimitrova (ed.)

117,20 €

Springer
Sivumäärä: 776 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2022, 27.07.2022 (lisätietoa)
Kieli: Englanti

This two-volume set LNAI 13355 and 13356 constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence in Education, AIED 2022, held in Durham, UK, in July 2022.

The 40 full papers and 40 short papers presented together with 2 keynotes, 6 industry papers, 12 DC papers, 6 Workshop papers, 10 Practitioner papers, 97 Posters and Late-Breaking Results were carefully reviewed and selected from 243 submissions. The conference presents topics such as intelligent systems and the cognitive sciences for the improvement and advancement of education, the science and engineering of intelligent interactive learning systems. The theme for the AIED 2022 conference was „AI in Education: Bridging the gap between academia, business, and non-pro t in preparing future-proof generations towards ubiquitous AI."

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