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One of the first and most crucial decisions in your doctoral journey is how to choose a PhD research topic that stands out . Your topic sets the tone for your entire PhD experience—it defines your research path, influences your supervisor selection, and determines how your work will be perceived within your field. Yet, many students struggle to select a topic that is both meaningful and original. This guide will walk you through actionable strategies and examples to ensure your research topic is academically sound, personally motivating, and professionally distinctive. Innovative Strategies: How Universities Integrate ChatGPT Into Its Curriculum Why It Matters That Your Topic Stands Out In a competitive academic environment, a standout PhD topic: Captures attention during proposal reviews and funding decisions Aligns with current trends while contributing something new Positions you for future postdoctoral or industry roles Motivates sustained engagement over 3–6 years Simply put, choo...

The rise of artificial intelligence in education has brought both excitement and apprehension. One hotly debated topic is how students use Gen AI for essay writing and whether it undermines or enhances the learning process. While AI-powered tools like ChatGPT and Grammarly have the potential to support students in writing tasks, they also raise significant concerns about academic integrity, skill development, and fairness. Urgent Need for Addressing Bias in AI-Powered Assessment Tools What Is Generative AI in Essay Writing? Generative AI refers to AI models designed to produce content based on user prompts. When it comes to essay writing, tools like ChatGPT, Claude, Bard, and WriteSonic can generate essays, summarise articles, suggest thesis statements, and even rephrase existing text for improved clarity. For example, a student might prompt ChatGPT with: "Write a 500-word essay on the causes and effects of climate change for high school students." Within seconds, the AI de...

Assessments are no longer confined to pen-and-paper tests or static quizzes. In 2025, a new wave of gamified assessments infused with AI insights is transforming how learners are evaluated, motivated, and supported. What was once considered a novelty “game-based learning”has evolved into a sophisticated, data-powered assessment ecosystem that uses real-time feedback, adaptive challenges, and engagement metrics to enhance learner performance. Gamified assessments, when paired with AI, don’t just test knowledge, they build it. What Are Gamified Assessments? Gamified assessments use elements of game design (e.g., points, levels, badges, leaderboards, simulations) to measure learning outcomes and skills in an interactive, immersive format. They can take many forms: Scenario-based simulations Role-play missions Time-bound challenges Collaborative problem-solving quests Interactive quizzes with rewards and adaptive difficulty With AI , these assessments become personalized, scalable, and...

Case studies have long stood as a cornerstone of business education—used to cultivate analytical thinking, strategic decision-making, and real-world application of theories. In a classroom, a well-written case transforms students from passive listeners to active problem-solvers. But writing impactful cases and delivering them effectively is both an art and a science. This guide unpacks how to master the craft of writing business case studies and delivering them through powerful, student-centered teaching techniques. 10 Ways Artificial Intelligence in Education is Revolutionising Learning (2025 Guide) 1. Why Case Studies Matter in Business Education Case studies simulate the complexity of real-world business challenges. Instead of just learning about a concept like market entry strategy or operational efficiency, students immerse themselves in a story where a protagonist must make a decision under uncertainty. Key Benefits: Promotes Critical Thinking : Students must analyse data, evalua...

Embarking on a PhD journey is both exciting and daunting. But what no one tells you about starting a PhD is that the road to a doctorate is filled with unforeseen challenges, personal growth, and moments of doubt that test your resolve. Most PhD students begin with a clear vision of their research goals. However, reality often diverges from expectations. Navigating the complexities of doctoral study requires much more than academic skill—it demands emotional resilience, strategic planning, and a readiness to embrace uncertainty. How AI is Transforming the Classroom: The Future of Learning The Truth About Starting a PhD: It's More Than Just Research The perception that a PhD is purely about conducting research is misleading. What no one tells you about starting a PhD is that it involves: Learning to Manage Ambiguity PhD research is inherently unpredictable. Unlike undergraduate or master’s programs, there is no structured curriculum to guide you. Instead, you are expected to carve ...

Artificial Intelligence (AI) is transforming industries worldwide, and the education sector is no exception. By integrating Artificial Intelligence in Education into learning and teaching processes, educators, students, and institutions can unlock unprecedented opportunities for growth, innovation, and efficiency. Here’s a closer look at how AI is shaping the future of education. Influencing Change: Case Studies in Nonprofit Organizations 1. Personalised Learning at Scale One of the most significant contributions of Artificial Intelligence in Education is its ability to personalise learning experiences for students. AI-powered platforms can analyse individual learning styles, strengths, and areas for improvement, tailoring content to meet each learner’s unique needs. Example : Adaptive learning tools, such as AI-driven tutoring systems, adjust the difficulty level of lessons based on a student’s progress. This ensures that students are neither overwhelmed nor under-challenged, leadin...

Exam design has traditionally been a labor-intensive process, requiring alignment with learning outcomes, curriculum standards, and fairness principles. But with the surge of generative AI tools in 2025, educators and training professionals now have a powerful ally. What if AI could help you create smarter, fairer, and more meaningful exams—without compromising academic integrity? In this blog, we explore how generative AI (Gen AI) is reshaping exam creation , question variability , assessment alignment , and learner fairness . Whether you’re working in a university, professional training organization, or corporate L&D team, the insights here will help you improve both exam quality and learner performance. Why Traditional Exam Design Falls Short While traditional exam design methods have their strengths, they are often: Time-consuming : Writing well-balanced questions and rubrics can take weeks. Biased : Human-designed questions may reflect unconscious assumptions. Static : The sam...

When designing an effective course, starting with the content is often tempting. However, forward planning can sometimes lead to misalignment between what’s taught, what’s assessed, and what students actually learn. That’s why educators are increasingly turning to backward design in course planning —a method that ensures learning outcomes drive every instructional decision. This blog post offers a practical, step-by-step guide to implementing backward design in your course development process to create meaningful and measurable learning experiences. Why CAIBS Is the #1 Choice for AI Business Professionals in 2025 What Is Backward Design? Backward design is an instructional planning model introduced by Grant Wiggins and Jay McTighe in their seminal work Understanding by Design (1998) . The process begins with identifying desired learning outcomes, then determining acceptable evidence of learning, and finally designing instructional activities. Rather than focusing on “what to teach,” b...

For decades, Bloom’s Taxonomy has been a foundational framework for designing educational goals, activities, and assessments. But in today’s digital-first, AI-enhanced learning environments, educators face a new challenge: How do we align Bloom’s hierarchy with the powerful—but sometimes generic—output of AI-based rubric generators ? The rise of generative AI tools like ChatGPT, Claude, and Gemini has enabled rapid creation of marking rubrics, assessment feedback, and learning descriptors. However, without clear alignment to cognitive levels , these tools risk diluting learning standards. In this post, we’ll explore how to integrate Bloom’s Taxonomy into AI-assisted rubric design, creating a future-ready approach to authentic, measurable, and scalable learning assessment. Quick Recap: Bloom’s Taxonomy in 2025 Bloom’s Taxonomy remains the most widely adopted cognitive framework in both academic and corporate learning design. It provides a hierarchical model for categorising cognitive ...

Creating AI-enhanced assessment rubrics is fast becoming an essential practice in modern education. As artificial intelligence continues to revolutionise teaching and learning, the traditional methods of designing and applying assessment rubrics are being transformed by intelligent systems that support accuracy, consistency, and personalised learning outcomes. Critical Analysis: How Students Use Gen AI for Essay Writing—Should We Be Concerned? At its core, a rubric is a structured framework used to assess student work based on predetermined criteria. However, with growing class sizes, diverse learning needs, and increased expectations for feedback quality, educators are turning to AI-driven tools to streamline the creation, use, and refinement of rubrics. Creating AI-enhanced assessment rubrics allows teachers to leverage machine learning and natural language processing to deliver consistent, objective, and data-driven evaluations at scale. One of the most powerful benefits of creati...