@inproceedings{f2216ea707d54b789d9b4bc3f11473ca,
title = "Facilitating Geometry Learning Through Real-Time Collaborative Activities with Augmented Reality in Authentic Context",
abstract = "In this study, a smart Ubiquitous Geometry (Smart-UG) system with smart mechanisms support was developed to facilitate learners{\textquoteright} geometry learning through measuring objects in authentic context. Further, we designed a real-time collaborative measuring function based on the augmented reality (AR) in the mobile device. Learners were required to measure objects collaboratively with their peers, calculate the surface area and perimeter of the objects in authentic contexts, and discuss. In order to facilitate meaningful collaboration, interaction and socialization among peers, we designed the smart mechanisms that provided learners with a way to ask others for help if they face difficulty. Participants were fifth-grade learners from two classes that were assigned into different groups. The experimental group (EG) consists of 26 learners and the control group (CG) consists of 26 learners with/without smart mechanisms support, respectively. The results revealed that EG with assistance of smart mechanisms like peer help significantly improved geometry ability and got higher scores than CG. In addition, EG who completed more practices, made fewer mistakes, and asked others for help had a better understanding of geometry concepts. Moreover, learners showed a positive attitude and high intention toward Smart-UG. Therefore, our Smart-UG with the smart mechanism support could facilitate learners to learn geometry smartly in authentic context and enhance their geometry ability.",
keywords = "Augmented reality, Authentic context, Collaboration, Geometry learning, Smart mechanisms",
author = "Hwang, {Wu Yuin} and Lin, {Yi Jing} and Anh Hoang and Rio Nurtantyana and Oscar Lin",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 5th International Conference on Innovative Technologies and Learning, ICITL 2022 ; Conference date: 29-08-2022 Through 31-08-2022",
year = "2022",
doi = "10.1007/978-3-031-15273-3_9",
language = "English",
isbn = "9783031152726",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "79--87",
editor = "Yueh-Min Huang and Shu-Chen Cheng and Jo{\~a}o Barroso and Sandnes, {Frode Eika}",
booktitle = "Innovative Technologies and Learning - 5th International Conference, ICITL 2022, Proceedings",
}