Small Bites, Big Impact: The Power of Nanolearning
7th International Conference on Smart Learning Environments
Yousef, Ahmed Mohamed Fahmy
Faculty of Specific Education
Fayoum University, Egypt
Huang, Ronghuai
Smart Learning Institute
Beijing Normal University, China
Tlili, Ahmed
Smart Learning Institute
Beijing Normal University, China
Garcia, Manuel B.
Educational Innovation and Technology Hub
FEU Institute of Technology, Philippines
Mahmoud, Ayman Gabr
Faculty of Specific Education
Fayoum University, Egypt
Metwally, Ahmed Hosny Saleh
Smart Learning Institute
Beijing Normal University, China
Abstract: Nanolearning (NL) is a promising approach to education and training as it delivers small, bite-sized chunks of learning content that can be easily consumed and retained by learners. This allows quickly accessing specific pieces of information and knowledge, which can be delivered through a variety of mediums, such as videos, podcasts, or mobile applications, etc. NL has significant potential in educational and training settings, where learners or trainers can quickly upskill or reskill in specific contexts, improving their productivity and mastering some topics. This study provides an overview of NL, addressing the design of NL educational materials and its implementation in several educational applications. It also highlights some considerations and issues. In conclusion, it is recommended that reliable learning resources be used by teachers, the content be closely assessed, the source format be considered, bias be checked for, and learner feedback be obtained to ensure the quality of NL materials. By following the proposed NL framework, teachers can provide their learners with top-notch and productive NL resources.
Keywords: Nanolearning, NANO Framework, Short-Form Videos, Bite-Sized Content, Cognitive Load Theory, Spaced Repetition
Recommended Citation:
Yousef, A. M. F., Huang, R., Tlili, A., Garcia, M. B., Mahmoud, A. G., & Metwally, A. H. S. (2023). Small Bites, Big Impact: The Power of Nanolearning. 7th International Conference on Smart Learning Environments, 108-116. https://doi.org/10.1007/978-981-99-5961-7_12.