Why can AI write code in one moment and fail at a seemingly simple task in the next? This article explores how the human mind differs from generative AI, why AI has a jagged frontier of capability, and where human and machine intelligence can work together best.
Learning is often framed as preparation for jobs. In the AI era, this framing breaks down. This article argues that learning exists to reduce uncertainty, not to predict roles, and introduces the ALUR framework as a way to prepare learners for shifting futures.
The AI Periodic Table offers a structured way to understand modern AI systems. By organising capabilities from primitives to emerging patterns, it helps learners move beyond tool lists and reason clearly about how AI components interact in real use contexts.
By the time today’s freshers graduate, they’ll enter an AI agent economy where humans and autonomous agents collaborate, transact, and create value together. This blog explores what the future of jobs looks like, why entry-level roles are shifting, and how students can prepare now to succeed.
In 2025, success with AI isn’t just about using tools—it’s about thinking with them. This blog introduces a practical framework to help you collaborate with large language models more critically, creatively, and effectively across learning, writing, research, and decision-making.
AI joins the team to read texts and assist humans in comprehending them. LLM-aware writing maximises for both AI and human readers, whereas traditional writing only takes human readers into account.
Key Takeaways Your browser does not support the audio element. Narrated by Fenrir 14:24 Introduction Artificial Intelligence is no longer a futuristic novelty; it’s a […]
Explore 12 powerful generative AI use cases for 2025 to boost productivity, enhance decisions, and drive sustainability.
Dr Mo Hoque is a university lecturer and environmental scientist, and the author of a book on AI literacy. As an advisor to StudyAnalyst, he supports responsible AI use, learning design, and ethical integration of AI in education.
Arshad Ziban is a computer science graduate and technology professional with experience in machine learning and the development of generative AI applications. He is supporting technology development that uses of AI in learning and professional contexts.
Rakib Hasan Topu leads student advisory and consulting services at the Rajshahi franchise of TCL Global. Working in collaboration with StudyAnalyst, he supports students and families with informed study decisions and structured pathways into higher education.
Dr. Sufia Sultana is an independent researcher and CEO of StudyAnalyst Ltd. With a PhD from Cranfield University (UK), she directs our core strategy, AI pedagogic tools, and PhD Advisory, while overseeing our TCL Global franchise branch for UG/PGT admissions.