Machine learning

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zihadhasan010
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Joined: Mon Dec 23, 2024 5:44 am

Machine learning

Post by zihadhasan010 »

Numerous Latin American HEIs are creating new student retention mechanisms that involve the use of technologies such as machine learning .

Using predictive models, we can analyze and predict early student exit and create interventions to prevent them from leaving. The most common interventions are academic counseling or mentoring.

According to IDC, 25% of 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 Data
A second area of ​​technological innovation that benefits HEIs is in the use of Big Data for strategic decision-making.

For example, universities can calculate student graduation rates or analyze data on scholarships to understand their relationship to academic performance and better understand students.

This data-driven analysis allows us to make timely decisions regarding the planning of study systems or the activation of support networks to prevent dropouts.

This is why, in 2017, 31% of universities surveyed by IDC were already using rich analytics models or tools for their decisions, while 58% would use them in the coming years.

Cloud computing
If one of the challenges of digital transformation in higher education is to reduce student dropout, another major challenge is to expand access to remote education in an educational system that prioritizes physical attendance of students.

To this end, technologies such as cloud paraguay mobile database computing enable the creation of virtual classrooms, MOOCs and online courses that students can access from anywhere with an Internet connection, democratising access to education.

Similarly, in administrative matters, cloud computing facilitates the monitoring of students through CRM , which are computer systems for sales and customer administration that HEIs are using in management due to the similarity between the customer cycle and the student cycle.

Artificial intelligence
Artificial Intelligence is also being used by HEIs to offer assistance to students through virtual tutors that make the teaching-learning process much more efficient.

As you can see, these 4 innovations, together with other tools such as web development, video conferencing and gamification systems , represent a new wave of strategies that seek to address the challenges of digital transformation in higher education.
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