The state of the art learning strategy
Fragmented time can make big difference

Micro-learning allows you to make use of your fragmented time by carrying out learning activities with higher flexibility.

It gets rid of the limitation of location, time frame, and even device. It recharges yourself at anytime and anywhere.

What is micro-learning?

“Micro-learning” processes cover a time span from a few seconds to 15 minutes or more. It refers to short-term learning activities on small learning units, or discrete chunks of learning materials (including text, slides, demonstrations, videos, audios, VR/AR etc). In the contemporary mobile/Web society, micro learning pertains to fragmented knowledge from huge amount of open education resources, like MOOC.

Why micro-learning?

Compared to the traditional hour-long e-learning, micro learning features higher flexibility, and more importantly, it has less time limitation. In other words, it can be started at anytime, whereas it may also be terminated at anytime, and at anywhere with access to Internet.

Micro learning also conforms to human brain’s cognitive processes in learning with attention to improved engagement.
Small learning bytes in micro learning are not only feasible to be acquired on-the-go, but also requiring less effort and aiding quick assimilation. They reduce the dependency on a fixed time slot and prevent people from being pulling out of their daily work to spend a large block of time on updating knowledge.

 

LEARNING PATH DESIGN

Construct and optimise your own learning plan

 

BROWSING COURSES

Find out our most popular courses and learning activities

 

CONSULTATION

New to micro learning? Relieve your confusion via instant online chat with our micro learning specialists

 

Online Assessment

Get started from knowing yourself, in your own fragmented time.

J. Shen, T. Cui, D. Xu, Taking Advantage of Invaluable Fragmented Time with Smart Micro Learning on Open Education Resources. ARC Discovery Project 2018. $362666 awarded
L. Li, J. Shen, G. Sun, Research on AI supported Adaptive Micro Learning, NSFC 2019-2022, CNY 460000 awarded
Y. Jin, J. Shen, Tackling e-Learning and Bioinformatics Applications with Surrogate-Assisted Evolutionary Computation, UGPN RCF 2018-2019, USD 20000 awarded
J. Shen, F. Ren, Cross Cultural Summer School - UOW and XIDIAN, BJTU, and CCNU, Australian Government’s NCP 2019-2020, $66000 awarded
J. Shen, T. Cui, Z. Pan and P. Yu, Multi-National Research Collaboration on Data Driven Innovative Transformation, UIC Scheme EIS Near Miss, 2018, $5000
T. Cui, J. Shen, Adaptive and Effective Open Online Courses for Mobile and Team Learners, UOW EIS Seed Grant, 2016, $11073
J. Shen, S. Chen, T. Cui and M. Yang, Adaptive cloud based mobile learning for the Massive Open Online Courses, EIS Strategic Research Partnership Scheme, 2015, $27132
Yiping Wen, Jianxun Liu, Jun Shen et al, Process mining-based intelligent recommendation of online collaborative learning path, NSFC 2022-2025 (62177014), CNY470000
Xuesong Zhai, Jun Shen et al, Adaptive Representation of Online Learning Resources Incorporating Visual Health and Related Key Techniques, NSFC 2022-2025 (62177042), CNY470000
Jun Shen, Computational Curation and Learning Resource Development for Pre-Tertiary Education, Advantage SME Collaboration Voucher, Sky Shine/Origo, $70000

Prof. Jun Shen

A/Prof. Dongming Xu

Dr. Shiping Chen

Dr. Tingru Cui

Prof. Ghassan Beydoun

Prof. Li Li

Dr. Mahdi Fahmideh

Dr. Geng Sun

Mr. Jiayin Lin

Mrs. Soheila Garshasbi

Mr.Hao Li

Mr.Sose Raeinaldo Virnandes

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