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Showing posts with the label classroom intelligence

Exploring the Paradox of Academic Excellence and Real-World Incompetence

Exploring the Paradox of Academic Excellence and Real-World Incompetence Unraveling the Dichotomy of Academic Brilliance and Practical Inefficiency Over the years, I have had the privilege of interacting with a diverse array of students, ranging from mature learners, parent-students, to research scholars. These individuals, adept at navigating their professional lives, often exhibit a unique perspective towards education, viewing it as a communal activity or a sacred journey of enlightenment and progress. However, a striking observation that emerges from my interactions with these research scholars and students is their ability to circumvent the conventional education system to achieve their academic goals. This phenomenon is not a reflection of their intellectual prowess but rather an indication of their survival instinct in a system that values degrees over knowledge. For instance, many of these students have been nurtured by 'helicopter paren...

Navigating the Material Challenges of Cow Dung Brick Making

Material Challenges of Cow Dung Brick Making “From finding suitable binders to selecting the right stabilisers, making high-quality cow dung bricks requires overcoming a host of material challenges” Making cow dung bricks 🐄🧱 can be a sustainable and eco-friendly alternative to traditional building materials. However, there are several 🤔 challenges associated with the production of these bricks that need to be addressed for them to be used in construction. In this article, we will discuss the challenges related to binder, micro...

Demystifying Ground Truth, Gold Standard, and Benchmark Terms in Image and Machine Learning

Building a ground truth image is an important task in many image classification projects, especially in medical imaging or in projects that require expertise in labeling objects. However, for many other tasks, such as classifying vegetation in an image, building a labeled image can be easy and simple with the help of unsupervised learning models. Ground truth refers to a set of measurements or conditions that serve as a benchmark or target for a classification system or machine learning algorithm. Here are some examples of what ground truth can mean in different contexts: In object recognition, ground truth can refer to a set of labeled images that have been manually annotated by human experts. These label...

Embracing the Analog: The Power of Pen and Paper in a Digital World

Many moons ago, while grappling with some intricate technical conundrum, I was struck by a profound realization: my abilities were inadequate. Inadequate to fulfill my ambitions and chart my course in the technical sphere. Perhaps, I was then in the throes of the impostor syndrome. However, that was the catalyst for the journey of self-discovery and growth that followed. Over the years, I have faced many trials and tribulations as a freelancer, and occasionally, as an entrepreneur. In that time, I have progressed from being an ingénue to a jaded veteran. The passage of time has taught me to navigate unknown territory, ambiguous situations, and probabilistic outcomes. Here are three strategies that I have developed to surmount these challenges: The Dual Desk Approach: I maintain two separate workstations - a digital desk equipped ...