@inproceedings{7a5076c2cc834c039db846c4ff59a4a1,
title = "Examining the Use of a Teacher Alerting Dashboard During Remote Learning",
abstract = "Remote learning in response to the COVID-19 pandemic has introduced many challenges for educators. It is important to consider how AI technologies can be leveraged to support educators and, in turn, help students learn in remote settings. In this paper, we present the results of a mixed-methods study that examined how teachers used a dashboard with real-time alerts during remote learning. Specifically, three high school teachers held remote synchronous classes and received alerts in the dashboard about students{\textquoteright} difficulties on scientific inquiry practices while students conducted virtual lab investigations in an intelligent tutoring system. Quantitative analyses revealed that students significantly improved across a majority of inquiry practices during remote use of the technologies. Additionally, through qualitative analyses of the transcribed audio data, we identified five trends related to dashboard use in a remote setting, including three reflecting effective implementations of dashboard features and two reflecting the limitations of dashboard use. Implications regarding the design of dashboards for use across varying contexts are discussed.",
keywords = "Dashboard, Intelligent tutoring system, Remote learning",
author = "Rachel Dickler and Amy Adair and Janice Gobert and Huma Hussain-Abidi and Joe Olsen and Mariel O{\textquoteright}brien and Pedro, {Michael Sao}",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 22nd International Conference on Artificial Intelligence in Education, AIED 2021 ; Conference date: 14-06-2021 Through 18-06-2021",
year = "2021",
doi = "10.1007/978-3-030-78270-2_24",
language = "English (US)",
isbn = "9783030782696",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "134--138",
editor = "Ido Roll and Danielle McNamara and Sergey Sosnovsky and Rose Luckin and Vania Dimitrova",
booktitle = "Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings",
address = "Germany",
}