Locabulary: A Context Sensitive Mixed Reality Flashcard Alternative for Second Language Learning
Pages 377 - 379
Abstract
Mixed reality creates exciting new opportunities for computer-aided language learning. By combining markerless tracking technology with a user's geolocation, software systems can dynamically locate and generate personalized interactive language practice exercises. The Locabulary mobile app uses a combination of markerless tracking and metadata from the user's location information to construct that utilize the learner's physical surroundings to provide unique and relevant content. Additionally, Locabulary employs context-aware spaced repetition to help language learners develop mastery over the material in the exercises it creates.
References
[1]
David P Ausubel and Mohamed Youssef. 1965. The effect of spaced repetition on meaningful retention. The Journal of General Psychology 73, 1 (1965), 147--150.
[2]
David Bryson. 2012. Using flashcards to support your learning. Journal of visual communication in medicine 35, 1 (2012), 25--29.
[3]
Darren Edge, Elly Searle, Kevin Chiu, Jing Zhao, and James A Landay. 2011. MicroMandarin: mobile language learning in context. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 3169--3178.
[4]
Jimit Gandhi, Purvil Jain, and Lakshmi Kurup. 2020. YOLO Based Recognition of Indian License Plates. In Advanced Computing Technologies and Applications. Springer, 411--421.
[5]
Clara Herlina Karjo and Wiwik Andreani. 2018. Learning Foreign Languages With Duolingo and Memrise. In Proceedings of the 2018 International Conference on Distance Education and Learning (ICDEL '18). Association for Computing Machinery, New York, NY, USA, 109--112. http://dx.doi.org/10.1145/3231848.3231871
[6]
Dorit Kaufman. 2004. 14. Constructivist issues in language learning and teaching. Annual review of applied linguistics 24 (2004), 303--319.
[7]
Stephen Krashen. 1982. Principles and practice in second language acquisition. (1982).
[8]
Tsung-Yu Liu, Tan-Hsu Tan, and Yu-Ling Chu. 2008. QR code and augmented reality-supported mobile English learning system. In Workshop of Mobile Multmedia Processing. Springer, 37--52.
[9]
Azadeh Nemati. 2009. Memory vocabulary learning strategies and long-term retention. International Journal of Vocational and Technical Education 1, 2 (2009), 14--24.
[10]
Joseph Redmon and Ali Farhadi. 2018. Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767 (2018).
[11]
Christian David Vazquez, Afika Ayanda Nyati, Alexander Luh, Megan Fu, Takako Aikawa, and Pattie Maes. 2017. Serendipitous Language Learning in Mixed Reality. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '17). Association for Computing Machinery, New York, NY, USA, 2172--2179. http://dx.doi.org/10.1145/3027063.3053098
[12]
Daniel Wagner and Istvan Barakonyi. 2003. Augmented reality kanji learning. In The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings. IEEE, 335--336.
[13]
Markus Weinmann, Christoph Schneider, and Jan vom Brocke. 2016. Digital nudging. Business & Information Systems Engineering 58, 6 (2016), 433--436.
Index Terms
- Locabulary: A Context Sensitive Mixed Reality Flashcard Alternative for Second Language Learning
Recommendations
Serendipitous Language Learning in Mixed Reality
CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing SystemsMixed Reality promises a new way to learn in the world: blending holograms with our surroundings to create contextually rich experiences that find their place in our daily routine. Existing situated learning platforms limit the learner and implicitly ...
A literature review of augmented reality, virtual reality, and mixed reality in language learning
Technological advances in augmented reality (AR), virtual reality (VR) and mixed reality (MR) have been increasingly used for supporting language learning. They provide learners with an enhanced or simulated environment for exposure to a target language. ...
Garden: A Mixed Reality Experience Combining Virtual Reality and 3D Reconstruction
CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing SystemsGarden is a Mixed Reality (MR) experience that combines both Virtual Reality (VR) and Augmented Reality (AR), and lets players transform their environment into a virtual garden they can play in. This is done by doing both stereoscopic rendering and 3D ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
August 2020
442 pages
ISBN:9781450379519
DOI:10.1145/3386527
- General Chair:
- David Joyner,
- Program Chairs:
- Rene Kizilcec,
- Susan Singer
Copyright © 2020 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 12 August 2020
Check for updates
Author Tags
Qualifiers
- Short-paper
Conference
L@S '20
Acceptance Rates
Overall Acceptance Rate 117 of 440 submissions, 27%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 142Total Downloads
- Downloads (Last 12 months)15
- Downloads (Last 6 weeks)2
Reflects downloads up to 21 Nov 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in