@inproceedings{5fc5c25691d143d8b96e29c0d454530f,
title = "Title: Measuring Belonging for Neurodiverse Computer Science Students",
abstract = "Neurodivergent students can thrive in undergraduate Computer Science programs with support, but research on effective learning and teaching practices is limited. The neurodiversity movement advocates an approach to research and design that examines social (i.e., external) barriers to student success and seeks to remove or mitigate them. We suggest that this research must begin with productive measures of student success. This poster presents a survey instrument to measure neurodivergent CS students' sense of belonging.",
keywords = "belonging, computer science, intersectionality, neurodiversity, research",
author = "Rachel Bonnette and Sam Abramovich",
note = "Publisher Copyright: {\textcopyright} ISLS.; 16th International Conference of the Learning Sciences, ICLS 2022 ; Conference date: 06-06-2022 Through 10-06-2022",
year = "2022",
language = "English",
series = "Proceedings of International Conference of the Learning Sciences, ICLS",
publisher = "International Society of the Learning Sciences (ISLS)",
pages = "2162--2163",
editor = "Clark Chinn and Edna Tan and Carol Chan and Yael Kali",
booktitle = "International Collaboration toward Educational Innovation for All",
address = "United States",
}