By: Dr. Ahmad Salahuddin Mohd Harithuddin

Bloom's Taxonomy

Whether instructing on the principles of bridge construction, the science of semiconductor fabrication, or the complexities of aerospace engineering, an essential question often arises: Are students merely memorizing formulas, or are they genuinely prepared to innovate the next significant advancement? A must have teaching framework every instructor must have is Bloom's Taxonomy. This framework is not merely a tool or software; it possesses the potential to revolutionize the approach to challenging students' cognitive capabilities. Bloom's Taxonomy transcends mere academic jargon; it is a framework capable of transforming engineering assessments from basic fact-checking to intellectually stimulating challenges. At its core, Bloom's Taxonomy differentiates between lower-order thinking skills (LOTS) and higher-order thinking skills (HOTS).

Lower-order thinking skills form the foundation:

C1 Remembering: Can students recite Newton's three laws of motion?

C2 Understanding: Can they explain how Newton's second law relates force, mass, and acceleration?

C3 Applying: Can they utilize Newton's laws to solve a basic problem, such as calculating the force required to accelerate a vehicle?

While these skills are important, they serve primarily as a preliminary stage. The true cognitive development occurs through higher-order thinking skills:

C4 Analyzing: Can students deconstruct a complex system, such as a rocket launch, and elucidate how each of Newton's laws applies at various stages?

C5 Evaluating: Can they assess different engineering designs and articulate which one most effectively utilizes Newton's laws for efficiency or performance?

C6 Creating: Can they devise an innovative system that applies Newton's laws in a novel manner to address a real-world problem, such as enhancing vehicle safety features?

This progression reflects a shift from "What?" and "How?" to "Why?" and "What if?" It signifies an upgrade from simplistic textbook exercises to comprehensive engineering projects. Consequently, students are not merely applying established principles; they are innovating based on foundational laws to tackle complex, real-world challenges.

Why Should Engineers and Their Instructors Care?

Having constructed a remarkable bridge, programmed an advanced AI, or designed a next-generation solar panel, one may be eager for the grand unveiling. However, if only "remembering" questions were employed to assess the engineering team, the bridge may resemble a precarious Jenga tower, the AI may produce incoherent outputs, and the solar panel may prove as effective as a calculator's solar cells. This underscores the necessity of elevating questions—and students—to the higher levels of Bloom's Taxonomy. The objective is not to train individuals to merely recall facts, but to cultivate the next generation of innovators capable of addressing real-world challenges, from redesigning urban environments for enhanced walkability to advancing quantum computing and addressing the critical issue of increasing engineers' salaries.

Engineering Questions from Bloom to Boom!

Here are examples of how Bloom's Taxonomy can be applied to formulate increasingly complex questions across various engineering disciplines:

C1 Remembering: What is the definition of stress in materials science? Student response: "Force per unit area. Success! Now, onto social media."

C2 Understanding: Explain how a PID controller functions within a feedback system. Student response: "It operates like cruise control for a robot, predicting, integrating, and deriving to achieve stability."

C3 Applying: Calculate the power output of a wind turbine given specific parameters. Student response: "Time to calculate. Where is my calculator?"

C4 Analyzing: Compare the efficiency of various network topologies for a large-scale IoT deployment. Student response: "Let us examine the distinctions among mesh, star, and tree topologies—akin to choosing between a spider web, a solar system, or a seating arrangement for devices."

C5 Evaluating: Assess the feasibility of employing graphene in next-generation computer chips. Student response: "Advantages include high conductivity, thinness, and strength; disadvantages include cost and production challenges. Note: potential risks of unintended consequences."

C6 Creating: Design a sustainable urban transportation system that integrates autonomous vehicles and public transit. Student response: "Consider electric buses, self-driving cars, and perhaps even teleportation tubes, along with slides between buildings for rapid exits."

Before Concluding

A well-formulated question resembles a well-designed engineering project—it should challenge assumptions, push boundaries, and perhaps induce a degree of discomfort in the learning process. While some advocate for the notion that learning should be enjoyable, it is posited here that true learning often entails navigating through discomfort. Now, it is necessary to develop an automated system for grading these assessments; these questions will not evaluate themselves!

Tarikh Input: 27/09/2024 | Kemaskini: 03/07/2025 | puteriamirah