K. Rebecca Marsh Runyon, Kinta D. Montilus, Larisa Nachman, Kristen Smith Herrick, Lisa Ferrara. ETS® AI Labs™ Ways of Working Tutorial: How to Build Evidence-Based, User-Obsessed, AI-Enabled Learning Solutions in an Agile Framework. In Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova, editors, Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part II. Volume 13356 of Lecture Notes in Computer Science, pages 119-122, Springer, 2022. [doi]
@inproceedings{RunyonMNHF22,
title = {ETS® AI Labs™ Ways of Working Tutorial: How to Build Evidence-Based, User-Obsessed, AI-Enabled Learning Solutions in an Agile Framework},
author = {K. Rebecca Marsh Runyon and Kinta D. Montilus and Larisa Nachman and Kristen Smith Herrick and Lisa Ferrara},
year = {2022},
doi = {10.1007/978-3-031-11647-6_21},
url = {https://doi.org/10.1007/978-3-031-11647-6_21},
researchr = {https://researchr.org/publication/RunyonMNHF22},
cites = {0},
citedby = {0},
pages = {119-122},
booktitle = {Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part II},
editor = {Maria Mercedes Rodrigo and Noburu Matsuda and Alexandra I. Cristea and Vania Dimitrova},
volume = {13356},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-11647-6},
}