Evolutionary Learning - Book Review
- Dr. Moria Levy
- 20 hours ago
- 6 min read
Evolutionary learning is a continuous approach that builds progress on existing knowledge through motivation, exploration, application, and sharing. It enables individuals and organizations to adapt, develop new capabilities, and translate learning into measurable performance improvement, making it essential for staying relevant in rapidly changing environments.
The book Evolutionary Learning: From Creatures to Creators was written by my colleague, Or Daniel, who defines himself as a “learning architect.” Published in 2021, the book presents Or’s worldview, which is relevant not only to professionals in learning domains but also to all of us as human beings.
Key Topics:
Naturally, this summary cannot capture the full breadth and depth of the models presented in the book, and it is not a substitute for reading the complete work.
Introduction
Learning
Learning is a process of acquiring, expanding, or improving knowledge, understanding, abilities, or skills.According to Bloom’s Taxonomy, there are six levels of learning objectives:
Knowledge - content that can be retrieved from memory.
Comprehension - the ability to reflect on what was learned (examples, explanations, and more).
Application - the ability to use knowledge in new situations.
Analysis - the ability to break down what was learned into its components and understand those components and the relationships between them.
Synthesis - the ability to generate a new solution based on some components, possibly integrating additional knowledge.
Evaluation - judgment and the ability to make claims regarding the knowledge.
There are several types of long-term memory (which learning efforts should aim toward):
Episodic long-term memory - memory of a story or experience.
Semantic long-term memory - memory of a collection of information items as a connected network.
Procedural long-term memory - memory of a process and sequence of actions.
The world of learning has evolved over the years. Daniel offers a broad review, from ancient Babylon, where learners already sat before a teacher, through the development of professional teachers, training, and higher education. Technology has introduced and continues to introduce new possibilities. We must remain attentive to these developments, as they influence the future of learning, both in the domains of knowledge to be learned and in learning methods.
The Value of Learning
We need to learn because we have no choice; those who do not advance will not survive or remain relevant over time.This need has long existed, but it has become even more significant in light of external changes characteristic of our era, such as the challenges posed by the COVID-19 pandemic, the rapid pace of technological progress, and the information overload we face, which require us to think critically and not take anything for granted.
At the personal level, it is worthwhile to learn because:
Learning is a tool for social mobility (i.e., moving between socioeconomic classes).
Learning creates successes that energize us and increase our motivation to continue learning.
At the organizational level, it is worthwhile to learn because:
Knowledge, understanding, abilities, or skills that develop without intentional learning are less practical (M.L.).
Roles change and their execution changes; therefore, we must train existing employees, whose knowledge, understanding, and skills from yesterday are no longer sufficient for today and tomorrow.
In summary:
Learning is a means of improving business performance and enhancing learners’ lives. It is both our right and our responsibility, as organizations and as individuals.
Practical Evolutionary Learning
Practical evolutionary learning is a concept: progress built on what already exists.Its main components are shown in the diagram below.
Details:
Internal Motivation- Self-analysis to understand what we want to learn and how learning can help us achieve personal goals and objectives.Understanding our need for incentives that will help us begin learning and sustain learning over time.
Exploration-
Continuous learning aligned with professional needs - monitoring evolving job requirements inside the organization and across the web.
Expanding personal capabilities - technological and other skills. Developing new competencies that enable adaptation to professional developments.
Non-professional learning - for hobbies, personal life, family, and more.
Application- Applying what was learned in practical terms-embedding information and turning it into knowledge.Creating new knowledge based on the learning.
Sharing- Sharing with colleagues and others.Positioning oneself toward others as a learning, up-to-date individual.Receiving feedback from the environment.
External Motivation- Strengthening the satisfaction derived from learning and motivation to continue learning, based on positive feedback from others.
Personal Learning
Mindset
Mindset is the foundational construct that enables learning and supports effective, efficient learning over time.
It includes several dimensions:
Motivation for learning - internal dialogue about the justification for learning and the incentives that will help us begin learning now.
Grit - the ability to sustain passion, persistence, and determination for learning over time.
A healthy physical and social lifestyle - ensuring that the chemicals governing our brain function in ways that support our learning abilities.
Growth mindset - treating failure as an opportunity for learning and seeking feedback as a tool for continuous improvement.
Learning Tools
There are many tools for learning, both face-to-face and digital.
Primary sources of learning:
Professional literature
Professional networks
Peers
Courses
Articles
Videos and podcasts
Modeling (learning by observing others)
Tips:
Invest in managing your learning (time planning and prioritization).
Adapt the learning format (digital or face-to-face) while accounting for the trade-offs (e.g., using the SAMR model).
Space learning over time and use repetition to strengthen long-term memory.
To embed understanding, integrate practice, and problem-based learning.
Use dual coding to support understanding and memory, both textual and sensory.
Feedback is critical for improving learning, whether face-to-face or digital.
Do not be intimidated by learning myths-they are far from accurate:
Children are not necessarily more technological than we are; we can also develop this literacy.
The 70:20:10 learning model is not a universal truth; apply critical thinking and see what works for you.
Methods for Self-Learning
Daniel proposes self-learning methods across three levels:
Low effectiveness: rereading; highlighting; imagery/keywords; summarizing.
Medium effectiveness: varied practice; self-explanation; exploring the “why” and connecting prior knowledge to new knowledge.
High effectiveness: spaced practice over time; practice tests.
Learning in Organizations
Models for Developing and Designing Learning
Introduction
In learning development, regardless of the model, it is advisable to address four dimensions: learners, instructional staff, training program, and the organizational/physical environment.
Common principles across most accepted models:
Learner-centered learning
Goal-based learning
Learning focused on real needs (rather than theoretical concepts)
Reliance on measurable learning outcomes
Models
Daniel reviews major models for the development and design of organizational learning. Main models include:
ADDIE Model: A linear and cyclical model reflecting its five stages: Analyze, Design, Develop, Implement, and Evaluate.
SAM Model (Successive Approximation Model): Despite its complex name, the model represents agile learning: developing a prototype, implementing it, evaluating it, and iterating repeatedly.
TALM Model (Task-Component Learning Model): Focuses on designing training based on task components. Core steps include: understanding baseline task requirements; developing content and practice for those components based on complicating vs. facilitating factors; concluding with integrative practice.
ALPHA Model: A linear process that includes: initial problem definition; analysis of the instructional system; forming the instructional solution; building an operational training program; developing an evaluation plan; implementation; learning; and iterative refinement.
AGES Model: A model based on four guiding principles for developing learning products: Attention, Generation, Emotion, and Spacing.
Measurement and Analytics
Measurement begins with setting goals, which may relate to multiple levels:
Learners’ satisfaction with the learning process
Improvement in learners’ knowledge, understanding, and/or skills
Improvement in employees’ behavior in professional tasks as a result of learning
Improvement in business outcomes resulting from learning
Return on investment (calculating outcome improvement relative to the cost of learning)
Writing goals and objectives is an essential preliminary step. It is advisable to use the SMART model’s criteria: Specific, Measurable, Achievable, Relevant, Time-Based.
The term analytics refers to the systematic collection of information and the data-driven analysis of learning to generate insights and improve future learning.When planning analytics, it is advisable to consider the four learning dimensions mentioned earlier: learners, instructional staff, training program, and the (organizational and physical) environment.
Analytics can rely on quantitative data (e.g., video viewing time) and questionnaires and may involve learning systems, learners, instructional staff, or other stakeholders (e.g., managers).
Final Note
Are we all ready for the new tomorrow? Not necessarily. But evolutionary learning is undoubtedly a central tool in developing such readiness. It is not a one-time project but a way of life - one that can be not only beneficial but also highly enjoyable- highly recommended.
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