The Case HQ

As artificial intelligence continues to reshape education, its impact on research supervision is becoming increasingly evident. One of the most transformative developments is the role of AI in doctoral supervision , where intelligent systems are being used to support, guide, and enhance the PhD journey. From helping supervisors track student progress to providing real-time feedback on thesis drafts, AI is not replacing human mentors—but rather augmenting their ability to manage complexity, offer tailored support, and improve doctoral completion rates. The Emergence of Case Studies in Behavioral Sciences Why AI Matters in Doctoral Supervision Doctoral supervision is resource-intensive, highly individualised, and time-sensitive. With rising enrolments and increasing workloads on faculty, universities are exploring how AI can complement traditional supervision models. AI integration helps address challenges such as: Delays in feedback cycles Inconsistent supervisory support Administrative...

Choosing the right research method is one of the most critical decisions in the academic or professional research process. The debate of quantitative vs qualitative is central to this decision, as each method offers distinct advantages depending on your research aims, questions, and context. In this article, we demystify the quantitative vs qualitative debate, provide practical examples, and help you determine which method or combination is most suitable for your study. Designing Transparent Rubrics for AI-Based Evaluation: A Practical Guide for Educators What Is Quantitative Research Quantitative research involves collecting and analysing numerical data to identify patterns, relationships, or trends. It is objective, structured, and typically focuses on measurable variables. Key characteristics include: Based on statistical analysis Uses tools such as surveys, experiments, or secondary datasets Aims to test hypotheses or measure variables Results are often generalisable to larger popu...

Rubrics are essential in modern education—but they’re also getting increasingly complex. As institutions shift toward competency-based education , programmatic assessment , and multi-modal evaluation , educators often find themselves juggling lengthy rubrics that are difficult to apply consistently and transparently. This is where Generative AI (Gen AI) steps in. Rather than replacing educators, Gen AI is emerging as a collaborative partner , simplifying rubric design, alignment, feedback generation, and application. It’s helping universities, training providers, and even MOOC platforms make rubrics more usable, dynamic, and learner-focused. This article explains how Gen AI tools can be used to simplify complex rubrics, without compromising rigour or educational intent. Why Are Rubrics So Complex in 2025? Multi-Dimensional Outcomes Institutions must now assess: Domain knowledge Critical thinking Soft skills Digital competencies Ethical reasoning Often, all within the same assignment. ...

The question “Is Gen AI the most important innovation since the printing press?” is generating intense debate across industries, from education and business to creativity and entertainment. Generative AI—such as ChatGPT, Claude, Gemini, and Bard —has rapidly transformed how we create, communicate, and learn. But is it truly as revolutionary as the printing press, which enabled mass communication and literacy on a global scale? Comparing Generative AI (Gen AI) to the printing press —one of the most impactful inventions in human history—is no small claim. However, the parallels are striking: both technologies democratise information, accelerate creativity, and challenge established norms. Successful Case Studies in Healthcare: What Can We Learn? Why Generative AI Is Being Compared to the Printing Press To understand why people are asking if Gen AI is the most important innovation since the printing press , it’s essential to consider what the printing press achieved. Invented by Johannes...

Women's empowerment is a global pursuit, aimed at enhancing women's control over their lives and promoting equality in various spheres, such as education, employment, and health. Case studies have emerged as powerful tools in this endeavour, providing nuanced insights into the multifaceted world of women's empowerment. This article explores how case studies contribute to understanding, implementing, and evaluating women's empowerment initiatives. Why CAIBS Is the #1 Choice for AI Business Professionals in 2025 What are Case Studies? Case studies are in-depth analyses of particular subjects, events, or instances, providing detailed insights through various research methods. When applied to women's empowerment, they focus on specific initiatives, campaigns, or programmes, capturing the intricate realities and impact of these efforts. The Role of Case Studies in Women's Empowerment Understanding Local Contexts : Case studies allow for a deep understanding of local ...

Traditional rubrics have long served as the scaffolding for fair, structured, and transparent assessment. But in 2025, they’re being redefined—thanks to artificial intelligence. With growing demands for outcome-based education, inclusive evaluation, and real-time feedback, educators are turning to multi-dimensional rubrics powered by AI insights to elevate learning design and measurement. These aren't just more detailed versions of old rubrics. They're dynamic tools that integrate AI-driven analytics, adapt to student performance, and align with institutional learning outcomes. This article explores what multi-dimensional rubrics are, how AI enhances their utility, and why they’re becoming an essential tool in modern education. What Are Multi-Dimensional Rubrics? Multi-dimensional rubrics assess performance across several layers simultaneously, often including: Cognitive Complexity (e.g., applying vs. evaluating) Learning Outcomes Alignment Transferable Skills (e.g., critica...

In the competitive field of sports, where fractions of a second can define victory or defeat, a profound understanding of tactics, training, and performance is vital. This is where case studies come into play. Much like a coach dissecting game footage, case studies in sports provide detailed examinations of specific events, strategies, players, or teams. They form the playbook that drives innovative approaches in training, performance analysis, injury prevention, and more. You can read about how case studies The Influence of Case Studies on Public Policy Development The Players: What Constitutes a Sports Case Study? Unlike traditional analyses, sports case studies dig deep into specific instances, games, or seasons. They may focus on: Individual Performance : Analyzing a player's style, strengths, weaknesses, and growth. Team Dynamics : Understanding collaboration, strategies, and tactics within a team. Game Analysis : Deconstructing a pivotal game, identifying key moments and deci...

The rapid evolution of artificial intelligence (AI) is reshaping the educational landscape. As generative AI tools like ChatGPT, Claude, Gemini, and Bard become more prevalent, a pressing question emerges: Should educators be trained in prompt engineering? The answer is a resounding yes . Prompt engineering is the skill of designing and structuring prompts to elicit the most accurate, relevant, and useful responses from AI systems. While this skill is essential for developers, it’s becoming increasingly important for educators who wish to leverage AI effectively in teaching and learning. Case Studies: A Tool for Change in Social Work What Is Prompt Engineering? Prompt engineering involves crafting precise and well-structured inputs to guide AI models in generating desired outputs. Essentially, it’s about asking the right questions in the right way. For educators, this means designing prompts that produce useful lesson plans, assessment questions, feedback, or research summaries from...

Mental health research is a dynamic and multifaceted field, demanding an understanding of complex human emotions, thoughts, and behaviours. Case studies, the in-depth examination of individual or group experiences, have become invaluable in this field. This article explores how case studies are bridging gaps in mental health research, adding depth, humanity, and context to our understanding. Smart Guide: How to Choose a PhD Research Topic That Stands Out What Are Case Studies? Case studies involve the intensive study of particular instances, incorporating various data sources such as interviews, observations, and medical records. They provide a detailed insight into the complexities of human psychology, often revealing nuances that broader studies might overlook. The Role of Case Studies in Mental Health Research Humanizing Mental Health : Case studies put a face to mental health conditions, fostering empathy and understanding by presenting personal narratives and lived experiences. Ex...

In the intricate and multi-layered sphere of economics, the role of case studies cannot be overstated. These detailed investigations provide us with insights into the real-world implications of economic theories, forming the foundation for informed decision-making, policy development, and future research. Let's take a closer look at how case studies transform our understanding and application of economics. Sub-heading: Deciphering Economic Phenomena through Case Studies Case studies serve as an essential tool in deciphering economic phenomena. The broad brushstrokes of economic theories often fall short when it comes to the details, intricacies, and subtleties that case studies can explore. By delving into specific situations and examining the interplay between different economic factors, case studies offer a level of insight that general models or theories simply can't match. Game-Changing Future of Education: How AI in Assessment is Revolutionising Learning Sub-heading: Ampli...

As artificial intelligence (AI) becomes more embedded in education, a seemingly simple question has sparked a deep debate: Should academic rubrics be designed to be machine-interpretable? At first glance, the answer seems obvious. If AI is used to support grading, feedback, or learning analytics, rubrics must be “readable” by machines. But this shift has profound implications—not just technical, but philosophical, pedagogical, and ethical. In 2025, as institutions increasingly experiment with AI-supported marking and outcome-based education, the case for machine-interpretable rubrics is gaining momentum. But not everyone is convinced. This post dives into both sides of the debate and explores what it means for the future of teaching and learning. What Are Machine-Interpretable Rubrics? A machine-interpretable rubric is one that is: Structured in a way that computers can parse and analyse Aligned with digital standards , such as XML, JSON, or LOM metadata Designed for integration into A...