Traditionally, higher education institutions (HEIs) in Latin America have faced great challenges.Some are optimizing your budget, having more and better spaces to serve more students and expanding the Seychelles Email List educational offer.In this context, the digital transformation -supported of Information Technology (IT) and strategic – thinking is key to solving part of the educational challenges of the region.With only 15% of Latin American students between the ages of 24 and 29 completing their university education, it is well known that HEIs need to improve retention rates and design new teaching methodologies in line with the expectations of a generation that has grown up in society.
of the information .But how to do it? Universities and IES can find in Digital Marketing an approach to digital transformation in higher education. Join us and discover these possibilities!Panorama of digital transformation in higher educationUndoubtedly, higher education needs to transform to overcome its challenges through the technological tools that have emerged with the digital transformation.However, according to an IDC study that analyzes the maturity of Latin American universities in the face of digital transformation, 4 out of 10 universities are digital resistant , so they prefer to continue with the traditional teaching system.As you can see, the adoption of IT in the teaching-learning process is being conservative and isolated.And it is that universities are hardly understanding that the scope of digital transformation is not limited to digitizing documents.
However, today significant progress is being made.Indeed, the same study concludes that almost a third of universities are digital explorers. In these institutions, some successful digital transformation initiatives have been replicated in a timely manner.Let’s see what are some of these areas of innovation that have been implemented in higher education institutions.Machine learningMany Latin American HEIs are creating new student retention mechanisms that involve the use of technologies such as machine learning .Using predictive modeling, we can analyze and predict the early departure of students and create interventions to prevent them from leaving. The most common interventions are academic counseling or mentoring.According to IDC, 25% of the HEIs surveyed in 2017 were already using machine learning for their student retention strategies, while 58% planned to implement it in 1 or 2 years.Big dataA second area of technological innovation that favors HEIs is in the uses of Big Data for strategic decision-making.
For example, colleges can calculate student graduation rates or analyze scholarship data to understand their relationship to academic performance and better understand students.This data-based analysis allows us to make timely decisions regarding the planning of study systems or the activation of support networks to avoid dropping out.This is why, in 2017, 31% of the universities surveyed by IDC already used models or rich analytics tools for their decisions, while 58% would use them in the coming years.