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Reinventing learning management system for millennial students

Jayajyoti Sengupta, Vice President and APAC Head, Cognizant | June 6, 2016
Traditional educational models are at a crossroads today. With students evolving and responding better to dynamic and personalised models of learning, the education industry is shifting towards integrated systems that enable adaptive and holistic higher education learning environments.

This vendor-written piece has been edited by Executive Networks Media to eliminate product promotion, but readers should note it will likely favour the submitter's approach.

Traditional educational models are at a crossroads today. With students evolving and responding better to dynamic and personalised models of learning, the education industry is shifting towards integrated systems that enable adaptive and holistic higher education learning environments.

Changes are beginning to take place, with a new breed of education providers entering the market with cutting-edge learning solutions. These solutions are not only innovative but also affordable, such as the massive open online courses (MOOCs), which deliver learning content online to any interested person, with no limit on attendance.

IDC expects digital transformation initiatives to boost higher education IT spending in the Asia Pacific region excluding Japan (APEJ) from current US$ 8.7 billion to US$ 10.4 billion in 2019. Countries such as Singapore are also adapting to this change and working towards creating a data sciences community to increase awareness and catalyse a data sciences/analytics culture by adopting this model.

Enriching the student experience with Code HaloTM

In realising this rising phenomenon, institutions today are fast employing social, mobile, analytics and cloud (SMAC) technologies to gain valuable insights that can help institutions develop programs that are personalized and engaging for their learners.

This is done through tracking of digital footprints-what Cognizant calls Code HalosTM-which are generated by the online behaviors and existing data of individuals, institutions, learning processes and also devices. The predictive nature of this data helps better understand a student's existing and future needs and at the same time, match learners with schools, learning models and employers. Ultimately, this unlocks the potential of learners as their strengths can be identified and harnessed in order to achieve the best outcome.

However, data must be consistently collected through various platforms such as public domains, online coursework interaction as well as information from third-party sites in order for the programmes at institutions to be constantly updated, especially when used hand-in-hand with learning management systems (LMSs).

Just imagine a future where students can be assured that they are selecting the right colleges, choosing suitable majors, getting the right mentors during school and eventually finding the right jobs upon graduation. Currently, LMSs are only used for administrative purposes and do not customise the learning experience or promote day-to-day communication, productivity and collaborative abilities. If LMSs could also interact with Code Halos, the learner's experience can be enriched as student personas are constructed based on insights gained from their social activities or online behavior.

If a student was 70 percent likely to pursue a career in applied mathematics, for example, this insight can be matched with colleges that offer a strong math program, leading math professors, personalised course plans and connection to outside resources, such as academic groups of interest and industry experts.

 

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