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News, product stories and ideas from our teams on assessment, proctoring, AI in learning and research computing.

304 articles
5 Feb 2025

From intern to full-time engineer: Victor Atanasov's journey at Constructor Tech

Viktor Atanasov’s journey at Constructor Tech showcases the company’s commitment to nurturing young talent. Starting as a Frontend Intern in July 2024, Viktor quickly progressed to a full-time Junior Frontend Engineer by October 2024 under the mentorship of Vitaly Panteleev. His experience exceeded expectations, allowing him to work on real projects, enhance both technical and soft skills, and gain confidence in tackling challenges. Join us on March 5, 2025, from 13:00 to 18:00 (CET) at the Constructor University Career Fair to connect with our team and explore exciting career opportunities.

  • Events
  • Upcoming
  • University
23 Jan 2025

The importance of balancing reading and math support programs in schools

When it comes to intervention programs in schools, reading often takes center stage. Reading intervention is widely recognized as crucial for ensuring that students develop foundational literacy skills early, setting them up for academic success. But what about math? Despite its equal importance in shaping a child's future, math intervention often takes a backseat in educational priorities—and the consequences are profound.

  • Calcularis
  • Coach
  • For schools
  • +1
17 Jan 2025

Why AI proctoring is essential for small and medium-sized businesses

Small and medium-sized businesses (SMBs) operate in an environment filled with challenges: competing with larger enterprises, managing limited resources, maintaining an updated workforce, and ensuring compliance. While proctoring helps address some of these issues, this blog will explore why AI proctoring is the next step to save money and bring SMBs closer to becoming Fortune 500 companies.

  • Proctor
  • Trends
  • AI
9 Jan 2025

How to keep up with the fast technological advancements in scientific research

Scientists worldwide face pressure to keep up with the latest innovations, tools, and methodologies. Questions arise: Should researchers rely on tried-and-tested methods that demand significant manual work, or should they adopt cutting-edge AI-driven platforms that might occasionally produce incomplete or incorrect results?

  • Research
  • AI
  • Machine learning