Feynman Technique
A learning method that involves teaching a concept to a novice to identify gaps in understanding and reinforce knowledge. Important for enhancing comprehension and retention of complex subjects.
80 topics found for:
“learned knowledge”
Crystallized Intelligence
The ability to use learned knowledge and experience, often increasing with age and accumulated learning. Important for understanding how expertise and knowledge accumulation impact design and decision-making.
Guild
A broader, more informal community of interest that spans across the entire organization, focusing on shared topics such as agile practices or UX design. Valuable for cross-functional learning, knowledge sharing, and promoting a unified approach to common challenges.
Learning Theory
The study of how people acquire knowledge, skills, and behaviors through experience, practice, and instruction. Useful for creating educational content and interactive tutorials that enhance user learning.
Continuous Learning
An ongoing process of learning and development that enables individuals and organizations to adapt to changing environments and requirements. Crucial for staying current with industry trends and improving skills and knowledge.
Cross-Disciplinary Learning
The integration and application of knowledge and skills from multiple disciplines to enhance understanding and innovation. Crucial for fostering a holistic approach to problem-solving and design.
SKOS
Simple Knowledge Organization System (SKOS) is a standard for representing knowledge organization systems such as thesauri, classification schemes, and taxonomies. Essential for enabling interoperability and sharing of structured knowledge across different systems.
Community of Practice
A group of people who share a common interest or profession and engage in collective learning through regular interactions, sharing knowledge, and developing expertise together. Essential for fostering collaboration, continuous learning, and the dissemination of best practices within a specific field or discipline.
Advance Organizer
A tool used in education to help learners organize and structure new information before learning it in detail. Useful for designing educational content and onboarding materials that facilitate better learning and retention.
ZPD
Zone of Proximal Development (ZPD) is a concept in educational psychology that describes the difference between what a learner can do independently and what they can achieve with guidance and support. Crucial for designing effective educational experiences and scaffolding that promote optimal learning and skill development.
Knowledge Engineering
The process of integrating knowledge into computer systems to solve complex problems, often used in AI development. Important for developing intelligent systems that can perform complex tasks and support decision-making in digital products.
Knowledge Graphs
A network of real-world entities and their interrelations, organized in a graph structure, used to improve data integration and retrieval. Crucial for enhancing data connectivity and providing deeper insights.
KOS
Knowledge Organization System (KOS) refers to a structured framework for organizing, managing, and retrieving information within a specific domain or across multiple domains. Essential for improving information findability, enhancing semantic interoperability, and supporting effective knowledge management in digital environments.
Spacing Effect
A learning phenomenon where information is better retained when study sessions are spaced out over time rather than crammed in a short period. Crucial for designing educational tools and content that optimize long-term retention.
Adaptive Control of Thought
A cognitive architecture model that explains how humans can learn and adapt to new tasks. Useful for understanding user learning and behavior adaptation, informing better user experience design.
State-Dependent Memory
A phenomenon where people are more likely to remember information when they are in the same state of consciousness as when they learned it. Important for understanding how context affects memory recall and designing experiences that facilitate better retention.
Lag Effect
A phenomenon where learning is improved when study sessions are spaced out over time rather than crammed together. Crucial for designing educational and training programs that enhance long-term retention.
Generation Effect
A phenomenon where information is better remembered if it is generated from one's own mind rather than simply read. Useful for designing educational and interactive content that enhances memory retention.
Retroactive Interference
A phenomenon where new information interferes with the ability to recall previously learned information, affecting memory retention. Crucial for understanding memory dynamics and designing educational or training programs.
Levels-of-Processing Effect
A theory that suggests the depth of processing (shallow to deep) affects how well information is remembered. Important for designing educational content and user interfaces that enhance memory retention.
Chapter
A group of individuals with similar skills or expertise, spread across different squads, who come together to share knowledge and best practices. Crucial for maintaining technical excellence and fostering professional development within specific disciplines.
Forward Chaining
An inference method used in AI and expert systems where reasoning starts from known facts and applies rules to derive new facts. Important for developing intelligent systems that can build knowledge and solve problems incrementally in digital products.
Shallow Processing
A cognitive approach where information is processed at a surface level, focusing on basic features rather than deeper meaning, often leading to poorer memory retention. Important for designing educational and informational content that encourages deeper processing and understanding.
CBR
Case-Based Reasoning (CBR) is an AI method that solves new problems based on the solutions of similar past problems. This approach is essential for developing intelligent systems that learn from past experiences to improve problem-solving capabilities.
T-Shaped Skills
A skill set that combines deep knowledge in a single area (the vertical stroke) with a broad understanding across multiple disciplines (the horizontal stroke). Valuable for fostering versatility and collaboration within teams, enhancing problem-solving and innovation.
Data Science
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Essential for driving data-informed decision making, predicting trends, and uncovering valuable insights in digital product design and development.
Modality Effect
The phenomenon where people remember information better when it is presented through multiple sensory modalities rather than a single modality. Crucial for enhancing memory retention and understanding through multimodal presentations.
Behavioral Theory
The study of the principles that govern human behavior, including how people respond to stimuli and learn from their environment. Crucial for designing user experiences that anticipate and influence user behavior.
POLA
Principle of Least Astonishment (POLA) is a design guideline stating that interfaces should behave in a way that users expect to avoid confusion. Crucial for enhancing user experience and reducing the learning curve in digital products.
Dunning-Kruger Effect
A cognitive bias where individuals with low ability at a task overestimate their ability, while experts underestimate their competence. Crucial for designers to create educational content and user interfaces that accommodate varying levels of user expertise.
Allais Paradox
A decision-making paradox that shows people's preferences can violate the expected utility theory, highlighting irrational behavior. Important for understanding inconsistencies in user decision-making and designing better user experiences.
Lean UX
A user experience design methodology focused on rapid iteration, collaboration, and learning through experimentation. Essential for creating user-centered designs efficiently and effectively.
Improvement Kata
A structured routine for continuous improvement based on a scientific approach to problem-solving and process optimization. Crucial for fostering a culture of continuous improvement and innovation within product design teams.
Spotted Pattern
A reading pattern where users focus on individual elements or "spots" of interest on a page, rather than following a linear path. Crucial for designing engaging and attention-grabbing content layouts.
Content-Based Filtering
A recommendation system technique that suggests items similar to those a user has shown interest in, based on item features. Important for providing personalized recommendations and improving user satisfaction.
Complex Subsystem Team
A team structure within an organization focused on managing and integrating complex subsystems. Important for ensuring seamless integration and functionality of complex projects.
Semmelweis Reflex
A cognitive bias where new evidence or knowledge is automatically rejected because it contradicts established norms or beliefs. Important for recognizing resistance to change and designing strategies to encourage openness to new ideas among designers.
Bizarreness Effect
A cognitive bias where bizarre or unusual information is better remembered than common information. Useful for designers to create memorable and engaging user experiences by incorporating unique elements.
Anomaly Detection
The process of identifying unusual patterns or outliers in data that do not conform to expected behavior. Crucial for detecting fraud, errors, or other significant deviations in various contexts.
Linguistic Theory
The study of the nature, structure, and variation of language, including phonetics, phonology, syntax, semantics, and pragmatics. Essential for understanding how language influences communication and user interactions in digital products.
Extinction Burst
A temporary increase in the frequency and intensity of a behavior when reinforcement is first removed. Useful for understanding user behavior changes in response to modifications in design or system features.
Experimenter Bias
A bias that occurs when researchers' expectations influence the outcome of a study. Crucial for designing research methods that ensure objectivity and reliability.
Engagement Score
A metric used to rank leads based on their engagement with a brand, indicating their readiness to purchase. Crucial for prioritizing leads and improving sales efficiency.
Demand Forecasting
The process of predicting future customer demand using historical data and other information. Crucial for optimizing inventory levels, production schedules, and supply chain management.
Data Distribution
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures. Critical for understanding the characteristics of data and informing appropriate analysis techniques in digital product development.
Grounding
The process of linking language to its real-world context in AI systems, ensuring accurate understanding and interpretation. Crucial for improving the relevance and accuracy of AI-generated responses.
Suffix Effect
The phenomenon where people have a reduced ability to recall the last items in a list when additional, unrelated information is added at the end. Crucial for designing information presentation to optimize memory retention.
Gaze Cueing
The phenomenon where people follow the direction of another person's gaze, influencing their attention and behavior. Important for understanding visual attention and designing more effective visual cues in interfaces.
Sprint
A time-boxed period during which specific work must be completed and made ready for review, used in Agile project management. Crucial for managing workload and ensuring continuous delivery and improvement in Agile projects.
Copilot
An AI-driven assistant or tool that helps users accomplish tasks more efficiently, often by providing suggestions and automating routine actions. Important for enhancing productivity and user experience through AI assistance.
Funnel Metrics
Measurements that track the effectiveness of each stage of the funnel, such as conversion rates and drop-off points. Crucial for identifying areas of improvement in the customer journey.
Social Proof
A psychological phenomenon where people follow the actions of others in an attempt to reflect correct behavior for a given situation. Essential for designing interfaces and experiences that leverage social influence to guide user behavior and increase trust and engagement.
Content Validity
The extent to which a measure represents all facets of a given construct, ensuring the content covers all relevant aspects. Important for ensuring that assessments and content accurately reflect the intended subject matter.
Sludge
Any process or administrative barrier that unnecessarily complicates transactions and creates friction, discouraging beneficial behaviors. Important for identifying and eliminating unnecessary obstacles that hinder user experiences.
Secondary Reinforcer
A stimulus that gains reinforcing properties through association with a primary reinforcer, such as money or tokens, which are associated with basic needs. Essential for understanding complex behavior reinforcement strategies and designing effective reward systems.
Risk Management
The process of identifying, assessing, and mitigating potential threats that could impact the success of a digital product, including usability issues, technical failures, and user data security. Essential for maintaining product reliability, user satisfaction, and data protection, while minimizing the impact of potential design and development challenges.
Bounded Rationality
A concept that humans make decisions within the limits of their knowledge, cognitive capacity, and available time, leading to satisficing rather than optimal solutions. Crucial for designing systems and processes that account for human cognitive limitations and decision-making processes.
Relationship Intelligence
The use of data and insights to understand and manage relationships with customers and prospects. Crucial for enhancing customer engagement and building stronger relationships.
Big Data Engineer
A professional who designs, builds, and maintains systems for processing large-scale data sets. Essential for enabling data-driven decision-making and supporting advanced analytics in organizations.
Product Operating Model
A framework that outlines how a product is developed, managed, and delivered, including roles, processes, and tools used throughout its lifecycle. Crucial for ensuring efficient and effective product management and development.