Microlearning is an instructional strategy that breaks down learning content into small, targeted units. These units, often referred to as microlessons or microcontent, are specifically designed to convey one key concept or skill in a brief and efficient manner. Key elements of microlearning include:
Brevity: Microlearning modules are short, typically ranging from a few seconds to a few minutes in length. They focus on delivering essential information without unnecessary elaboration.
Focus: Each microlearning unit addresses a single learning objective or topic, maintaining a high level of specificity. This keeps the learner’s attention on the core concept.
Accessibility: Microlearning is often delivered through digital platforms, making it accessible to learners on various devices, such as smartphones, tablets, and computers.
Engagement: Microlearning modules are designed to be engaging and interactive, utilizing multimedia elements like videos, quizzes, and animations to enhance the learning experience.
Just-in-Time Learning: Microlearning is well-suited for just-in-time learning, where learners access relevant information precisely when they need it to perform a task or solve a problem.
Microlearning is guided by several key principles that define its effectiveness:
1. Chunking:
Learning content is divided into small, manageable chunks. This approach aligns with cognitive science, which suggests that breaking information into smaller segments aids retention and comprehension.
2. Spaced Repetition:
Microlearning often employs spaced repetition techniques, reintroducing key concepts at intervals to reinforce retention.
3. Active Learning:
Learners are encouraged to actively engage with the content through activities, quizzes, or reflection, promoting deeper understanding.
4. Immediate Application:
Microlearning emphasizes immediate application of newly acquired knowledge or skills, enabling learners to use what they’ve learned in real-world scenarios.
5. Personalization:
Content can be personalized to meet individual learner needs and preferences, allowing for a more tailored learning experience.
Advantages of Microlearning
Microlearning offers several advantages that make it a compelling approach for both formal education and workplace training:
1. Time-Efficient:
Microlearning fits seamlessly into busy schedules, as learners can access and complete modules in a matter of minutes.
2. Enhanced Retention:
Bite-sized content is easier to digest and remember, leading to improved retention of key concepts.
3. Accessibility:
Microlearning can be accessed on-demand, making it convenient for learners to acquire information when and where they need it.
4. Engagement:
Multimedia elements and interactive features make microlearning engaging and enjoyable, motivating learners to participate actively.
5. Targeted Learning:
Microlearning’s specificity ensures that learners acquire the exact knowledge or skills they need, eliminating unnecessary content.
6. Cost-Effective:
Organizations can reduce training costs by developing and delivering microlearning modules, as they require fewer resources than traditional training methods.
Implementing Microlearning
Effective implementation of microlearning involves careful planning and consideration of learner needs. Here are steps to successfully incorporate microlearning into educational or training programs:
1. Identify Learning Objectives:
Clearly define the learning objectives and outcomes you want to achieve with microlearning. Determine the specific skills or knowledge areas that need to be addressed.
2. Content Selection:
Choose content that aligns with the learning objectives and can be effectively conveyed in bite-sized modules.
3. Design Engaging Modules:
Create microlearning modules that are visually appealing, interactive, and engaging. Use multimedia elements, quizzes, and scenarios to enhance the learning experience.
4. Accessibility:
Ensure that microlearning modules are accessible on various devices, including smartphones, tablets, and computers.
5. Assessment and Feedback:
Implement assessments or quizzes to gauge learner understanding. Provide immediate feedback to reinforce learning.
6. Integration:
Integrate microlearning into the larger educational or training framework to complement other learning methods.
7. Personalization:
Consider offering personalized learning paths based on learner preferences and performance.
8. Evaluation:
Continuously evaluate the effectiveness of microlearning modules and make necessary adjustments based on learner feedback and outcomes.
Microlearning in Education
Microlearning has found its place in various educational settings, from K-12 schools to higher education institutions. It offers benefits such as flexibility, accessibility, and the ability to cater to diverse learning styles. In education, microlearning can be used for:
1. Supplemental Learning: Microlearning modules can supplement traditional classroom instruction, providing additional resources and opportunities for review.
2. Homework and Assignments: Microlearning assignments can be assigned as homework, allowing students to engage with content outside of class hours.
3. Test Preparation: Microlearning modules can focus on specific topics or skills that students need to prepare for tests or exams.
4. Remediation: Microlearning can be used for remedial purposes, helping students who are struggling with certain concepts to catch up.
Microlearning in Workplace Training
In the corporate world, microlearning has become a valuable tool for employee training and development. It aligns with the demands of modern work environments and offers several advantages:
1. Onboarding: Microlearning can streamline the onboarding process by delivering essential information to new employees in bite-sized modules.
2. Skill Enhancement: Employees can access microlearning modules to acquire new skills or improve existing ones, enhancing their job performance.
3. Compliance Training: Microlearning is effective for delivering compliance-related training, ensuring that employees understand and adhere to company policies.
4. Just-in-Time Learning: Employees can access microlearning modules when they encounter specific challenges or need to quickly acquire information to complete tasks.
5. Continuous Learning: Microlearning encourages a culture of continuous learning within organizations, allowing employees to stay updated with industry trends and best practices.
The Future of Learning: Microlearning’s Role
As technology continues to evolve, microlearning is poised to play an increasingly significant role in the future of education and workplace training. Some trends and developments to watch for include:
1. Mobile Learning: With the proliferation of smartphones and mobile devices, microlearning modules will become even more accessible and convenient.
2. Personalization: Advances in artificial intelligence will enable more personalized microlearning experiences, tailoring content to individual learner preferences and needs.
3. Data-Driven Learning: Data analytics will play a vital role in assessing learner progress and optimizing microlearning content.
4. Augmented Reality (AR) and Virtual Reality (VR):AR and VR technologies will enhance the immersive and interactive aspects of microlearning.
5. Integration with Learning Management Systems (LMS): Microlearning modules will become seamlessly integrated with existing LMS platforms, making them part of a comprehensive learning ecosystem.
6. Global Accessibility: Microlearning will continue to bridge geographical gaps, enabling learners from around the world to access high-quality education and training.
Conclusion
Microlearning represents a transformative approach to learning and training, offering a practical solution to the challenges of modern education and the demands of the workforce.
Its ability to deliver targeted, engaging, and accessible content makes it a powerful tool for educators, trainers, and learners alike.
As we continue to embrace the digital age, microlearning’s role in shaping the future of learning and development is set to expand, making it an indispensable strategy in the world of education and workplace training.
Convergent thinking occurs when the solution to a problem can be found by applying established rules and logical reasoning. Whereas divergent thinking is an unstructured problem-solving method where participants are encouraged to develop many innovative ideas or solutions to a given problem. Where convergent thinking might work for larger, mature organizations where divergent thinking is more suited for startups and innovative companies.
The concept of cognitive biases was introduced and popularized by the work of Amos Tversky and Daniel Kahneman in 1972. Biases are seen as systematic errors and flaws that make humans deviate from the standards of rationality, thus making us inept at making good decisions under uncertainty.
Second-order thinking is a means of assessing the implications of our decisions by considering future consequences. Second-order thinking is a mental model that considers all future possibilities. It encourages individuals to think outside of the box so that they can prepare for every and eventuality. It also discourages the tendency for individuals to default to the most obvious choice.
Lateral thinking is a business strategy that involves approaching a problem from a different direction. The strategy attempts to remove traditionally formulaic and routine approaches to problem-solving by advocating creative thinking, therefore finding unconventional ways to solve a known problem. This sort of non-linear approach to problem-solving, can at times, create a big impact.
Bounded rationality is a concept attributed to Herbert Simon, an economist and political scientist interested in decision-making and how we make decisions in the real world. In fact, he believed that rather than optimizing (which was the mainstream view in the past decades) humans follow what he called satisficing.
The Dunning-Kruger effect describes a cognitive bias where people with low ability in a task overestimate their ability to perform that task well. Consumers or businesses that do not possess the requisite knowledge make bad decisions. What’s more, knowledge gaps prevent the person or business from seeing their mistakes.
Occam’s Razor states that one should not increase (beyond reason) the number of entities required to explain anything. All things being equal, the simplest solution is often the best one. The principle is attributed to 14th-century English theologian William of Ockham.
The Lindy Effect is a theory about the ageing of non-perishable things, like technology or ideas. Popularized by author Nicholas Nassim Taleb, the Lindy Effect states that non-perishable things like technology age – linearly – in reverse. Therefore, the older an idea or a technology, the same will be its life expectancy.
Antifragility was first coined as a term by author, and options trader Nassim Nicholas Taleb. Antifragility is a characteristic of systems that thrive as a result of stressors, volatility, and randomness. Therefore, Antifragile is the opposite of fragile. Where a fragile thing breaks up to volatility; a robust thing resists volatility. An antifragile thing gets stronger from volatility (provided the level of stressors and randomness doesn’t pass a certain threshold).
Systems thinking is a holistic means of investigating the factors and interactions that could contribute to a potential outcome. It is about thinking non-linearly, and understanding the second-order consequences of actions and input into the system.
Vertical thinking, on the other hand, is a problem-solving approach that favors a selective, analytical, structured, and sequential mindset. The focus of vertical thinking is to arrive at a reasoned, defined solution.
Maslow’s Hammer, otherwise known as the law of the instrument or the Einstellung effect, is a cognitive bias causing an over-reliance on a familiar tool. This can be expressed as the tendency to overuse a known tool (perhaps a hammer) to solve issues that might require a different tool. This problem is persistent in the business world where perhaps known tools or frameworks might be used in the wrong context (like business plans used as planning tools instead of only investors’ pitches).
The Peter Principle was first described by Canadian sociologist Lawrence J. Peter in his 1969 book The Peter Principle. The Peter Principle states that people are continually promoted within an organization until they reach their level of incompetence.
The straw man fallacy describes an argument that misrepresents an opponent’s stance to make rebuttal more convenient. The straw man fallacy is a type of informal logical fallacy, defined as a flaw in the structure of an argument that renders it invalid.
The Streisand Effect is a paradoxical phenomenon where the act of suppressing information to reduce visibility causes it to become more visible. In 2003, Streisand attempted to suppress aerial photographs of her Californian home by suing photographer Kenneth Adelman for an invasion of privacy. Adelman, who Streisand assumed was paparazzi, was instead taking photographs to document and study coastal erosion. In her quest for more privacy, Streisand’s efforts had the opposite effect.
As highlighted by German psychologist Gerd Gigerenzer in the paper “Heuristic Decision Making,” the term heuristic is of Greek origin, meaning “serving to find out or discover.” More precisely, a heuristic is a fast and accurate way to make decisions in the real world, which is driven by uncertainty.
The recognition heuristic is a psychological model of judgment and decision making. It is part of a suite of simple and economical heuristics proposed by psychologists Daniel Goldstein and Gerd Gigerenzer. The recognition heuristic argues that inferences are made about an object based on whether it is recognized or not.
The representativeness heuristic was first described by psychologists Daniel Kahneman and Amos Tversky. The representativeness heuristic judges the probability of an event according to the degree to which that event resembles a broader class. When queried, most will choose the first option because the description of John matches the stereotype we may hold for an archaeologist.
The take-the-best heuristic is a decision-making shortcut that helps an individual choose between several alternatives. The take-the-best (TTB) heuristic decides between two or more alternatives based on a single good attribute, otherwise known as a cue. In the process, less desirable attributes are ignored.
The bundling bias is a cognitive bias in e-commerce where a consumer tends not to use all of the products bought as a group, or bundle. Bundling occurs when individual products or services are sold together as a bundle. Common examples are tickets and experiences. The bundling bias dictates that consumers are less likely to use each item in the bundle. This means that the value of the bundle and indeed the value of each item in the bundle is decreased.
The Barnum Effect is a cognitive bias where individuals believe that generic information – which applies to most people – is specifically tailored for themselves.
First-principles thinking – sometimes called reasoning from first principles – is used to reverse-engineer complex problems and encourage creativity. It involves breaking down problems into basic elements and reassembling them from the ground up. Elon Musk is among the strongest proponents of this way of thinking.
The ladder of inference is a conscious or subconscious thinking process where an individual moves from a fact to a decision or action. The ladder of inference was created by academic Chris Argyris to illustrate how people form and then use mental models to make decisions.
Goodhart’s Law is named after British monetary policy theorist and economist Charles Goodhart. Speaking at a conference in Sydney in 1975, Goodhart said that “any observed statistical regularity will tend to collapse once pressure is placed upon it for control purposes.” Goodhart’s Law states that when a measure becomes a target, it ceases to be a good measure.
The Six Thinking Hats model was created by psychologist Edward de Bono in 1986, who noted that personality type was a key driver of how people approached problem-solving. For example, optimists view situations differently from pessimists. Analytical individuals may generate ideas that a more emotional person would not, and vice versa.
The Mandela effect is a phenomenon where a large group of people remembers an event differently from how it occurred. The Mandela effect was first described in relation to Fiona Broome, who believed that former South African President Nelson Mandela died in prison during the 1980s. While Mandela was released from prison in 1990 and died 23 years later, Broome remembered news coverage of his death in prison and even a speech from his widow. Of course, neither event occurred in reality. But Broome was later to discover that she was not the only one with the same recollection of events.
The bandwagon effect tells us that the more a belief or idea has been adopted by more people within a group, the more the individual adoption of that idea might increase within the same group. This is the psychological effect that leads to herd mentality. What in marketing can be associated with social proof.
Moore’s law states that the number of transistors on a microchip doubles approximately every two years. This observation was made by Intel co-founder Gordon Moore in 1965 and it become a guiding principle for the semiconductor industry and has had far-reaching implications for technology as a whole.
Disruptive innovation as a term was first described by Clayton M. Christensen, an American academic and business consultant whom The Economist called “the most influential management thinker of his time.” Disruptive innovation describes the process by which a product or service takes hold at the bottom of a market and eventually displaces established competitors, products, firms, or alliances.
Value migration was first described by author Adrian Slywotzky in his 1996 book Value Migration – How to Think Several Moves Ahead of the Competition. Value migration is the transferal of value-creating forces from outdated business models to something better able to satisfy consumer demands.
The bye-now effect describes the tendency for consumers to think of the word “buy” when they read the word “bye”. In a study that tracked diners at a name-your-own-price restaurant, each diner was asked to read one of two phrases before ordering their meal. The first phrase, “so long”, resulted in diners paying an average of $32 per meal. But when diners recited the phrase “bye bye” before ordering, the average price per meal rose to $45.
Groupthink occurs when well-intentioned individuals make non-optimal or irrational decisions based on a belief that dissent is impossible or on a motivation to conform. Groupthink occurs when members of a group reach a consensus without critical reasoning or evaluation of the alternatives and their consequences.
A stereotype is a fixed and over-generalized belief about a particular group or class of people. These beliefs are based on the false assumption that certain characteristics are common to every individual residing in that group. Many stereotypes have a long and sometimes controversial history and are a direct consequence of various political, social, or economic events. Stereotyping is the process of making assumptions about a person or group of people based on various attributes, including gender, race, religion, or physical traits.
Murphy’s Law states that if anything can go wrong, it will go wrong. Murphy’s Law was named after aerospace engineer Edward A. Murphy. During his time working at Edwards Air Force Base in 1949, Murphy cursed a technician who had improperly wired an electrical component and said, “If there is any way to do it wrong, he’ll find it.”
The law of unintended consequences was first mentioned by British philosopher John Locke when writing to parliament about the unintended effects of interest rate rises. However, it was popularized in 1936 by American sociologist Robert K. Merton who looked at unexpected, unanticipated, and unintended consequences and their impact on society.
Fundamental attribution error is a bias people display when judging the behavior of others. The tendency is to over-emphasize personal characteristics and under-emphasize environmental and situational factors.
Outcome bias describes a tendency to evaluate a decision based on its outcome and not on the process by which the decision was reached. In other words, the quality of a decision is only determined once the outcome is known. Outcome bias occurs when a decision is based on the outcome of previous events without regard for how those events developed.
Hindsight bias is the tendency for people to perceive past events as more predictable than they actually were. The result of a presidential election, for example, seems more obvious when the winner is announced. The same can also be said for the avid sports fan who predicted the correct outcome of a match regardless of whether their team won or lost. Hindsight bias, therefore, is the tendency for an individual to convince themselves that they accurately predicted an event before it happened.
Gennaro is the creator of FourWeekMBA, which reached about four million business people, comprising C-level executives, investors, analysts, product managers, and aspiring digital entrepreneurs in 2022 alone | He is also Director of Sales for a high-tech scaleup in the AI Industry | In 2012, Gennaro earned an International MBA with emphasis on Corporate Finance and Business Strategy.
