The technology behind our Atlas Mission game-based learning platform is based on more than 10 years of field research conducted by Dr. Matthew Kam and his colleagues at the Carnegie Mellon University and at the University of California, Berkeley.
Dr. Kam’s research has focused on using games on low-cost mobile devices to improve the English vocabulary and reading comprehension skills of children in India and other countries.
This research has demonstrated significant improvements in the English vocabulary and literacy skills of children who have used the games that are present in the Atlas Mission platform.
Here are a few published research papers that form the basis behind Learning Yogi’s technology:
An exploratory study of unsupervised mobile learning in rural India. Proceedings of ACM Conference on Human Factors in Computing Systems (CHI ’10), Atlanta, Georgia, April 10-15, 2010. (Acceptance rate: 22%) Best Paper Honorable Mention (i.e. top 5%)
Improving literacy in rural India: Cellphone games in an after-school program. Proceedings of IEEE/ACM Conference on Information and Communication Technology and Development (ICTD ’09), Doha, Qatar, April 17-19, 2009. (Acceptance rate: 18%)
Designing digital games for rural children: A study of traditional village games in India. Proceedings of ACM Conference on Human Factors in Computing Systems (CHI ’09), Boston, Massachusetts, April 4-9, 2009. (Acceptance rate: 25%) Best Paper Honorable Mention (i.e. top 5%).
Designing e-learning games for rural children in India: A format for balancing learning with fun. Proceedings of ACM Conference on Designing Interactive Systems (DIS ’08), Cape Town, South Africa, February 25-27, 2008. (Acceptance rate: 24%)
Mobile gaming with children in rural India: Contextual factors in the use of game design patterns. Proceedings of 3rd Digital Games Research Association International Conference (DiGRA ’07), Tokyo, Japan, September 24-28, 2007.
Localized iterative design for language learning in underdeveloped regions: The PACE framework. Proceedings of ACM Conference on Human Factors in Computing Systems (CHI ’07), San Jose, California, USA, April 28-May 3, 2007, 1097-1106. (Acceptance rate: 22%)