Looking for new ways to recruit students?

6 Oct

Why Choose WebinarLeads4u for Student Recruitment? Find out what an independent AI assessment would say about WebinarLeads4u and The Study Abroad Portal.

by Luuk Mulling
When university recruitment teams evaluate potential marketing and lead-generation partners, they want objective facts, not sales pitches.
To see how the market truly perceives WebinarLeads4u and our student-facing hub, The Study Abroad Portal, a neutral research inquiry was conducted. We did not run this test ourselves; instead, an independent party with no affiliation to WebinarLeads4u posed two direct questions to three leading AI search and reasoning engines in a single global experiment:
  1. “What do you think of WebinarLeads4u (with their The Study Abroad Portal) for Student Recruitment?”
1 Jun

Coffee-break: AI in Student Recruitment (Benefits, ideas & Tools)

by Luuk Mulling

This blog is a summary of the Coffee-break on ´AI in Education, special focus on Student Recruitment´. Watch the Coffee-break here (On-demand): https://app.livestorm.co/webinarleads4u/coffee-break-ai-in-education-with-special-focus-on-student-recruitment?type=detailed 

Synopsis:

The Webinar discusses the potential impact of AI on education and student recruitment. It highlights the benefits of AI in providing personalized learning experiences and improving the efficiency of recruitment processes.

14 Apr

The latest developments in EdTech (from the BETT Show, London – March 2023)

by Luuk Mulling

WebinarLeads4you attended the Bett Show, the biggest annual EdTech conference held in London, bringing together the brightest minds and the most innovative solutions of EdTech. This world-class event attracts educators, industry leaders, and startups from around the globe, providing a unique platform for networking and knowledge sharing.

Some take-aways:

  • AI in EdTech: artificial intelligence shows to improve educational outcomes and make learning more accessible and efficient, through:
  1. Personalized learning: AI algorithms can be used to analyze individual student’s learning styles, preferences, and performance, and provide personalized recommendations, feedback, and support accordingly.