@inproceedings{52408aa8f5d444fdae6f806b94b1fe61,
title = "Mixed reality homework system",
abstract = "Mixed reality has potential to transform many industries, including education. The following research aims to provide a framework for mixed reality implementation into a homework system so that data collection can occur in a single location for teachers. The research attempts to demonstrate that mixed reality learning manipulatives may be deployed directly from and scored into a homework system. Applets for repetition are suggested as an extension to the mixed reality activities. The system is detailed so that replication and modifications can be done via core components. Interoperability connections allow for data collected from users during the activities and lessons to be deployed directly from the institutional learning management systems or the homework system. Advantages and limitations of the system are identified. Future studies of the system are presented.",
keywords = "artificial intelligence, augmented reality, homework system, learning management system, mixed reality",
author = "Nathanial Wiggins and Milton Smith",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; null ; Conference date: 07-01-2019 Through 09-01-2019",
year = "2019",
month = mar,
day = "12",
doi = "10.1109/CCWC.2019.8666475",
language = "English",
series = "2019 IEEE 9th Annual Computing and Communication Workshop and Conference, CCWC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "642--647",
editor = "Satyajit Chakrabarti and Saha, {Himadri Nath}",
booktitle = "2019 IEEE 9th Annual Computing and Communication Workshop and Conference, CCWC 2019",
}