Everything around us – from the human body to a university campus – operates as a system. Yet the word “system” is often used loosely, without a real understanding of what makes something a system and why that distinction matters. In education, management, engineering, and everyday life, grasping the concept of a system is foundational to understanding how complex processes actually work. Once you see the world through a systems lens, you begin to notice that nothing functions in isolation – everything is connected, purposeful, and interdependent.

Table of Contents

What is a system?

According to Encyclopedia.com, a system is commonly defined as a group of interacting units or elements that have a common purpose. Those units can be cogs, wires, people, computers – virtually anything. What matters is not what the parts are made of, but how they relate to each other and what they collectively achieve. As systems theory on Wikipedia notes, a system is “more than the sum of its parts” – it expresses properties that none of its individual components could produce on their own.

Ludwig von Bertalanffy, the biologist widely credited with founding General Systems Theory, argued as far back as the 1920s that all systems – whether biological, mechanical, or social – are built from interrelated parts working toward a common goal. His thinking has since shaped fields as diverse as ecology, engineering, sociology, and education.

Key characteristics of a system

Not every collection of parts qualifies as a system. ScienceDirect’s overview of systems theory identifies several defining features that all true systems share:

  • Interdependence of components: Each part depends on the others to function properly. If one part fails, the whole system is affected.
  • Organization and structure: Components work together in a coordinated, ordered way – not randomly.
  • Goal-directedness: Every system has a purpose, whether it’s producing a product, sustaining life, or educating students.
  • Defined boundaries: A system operates within boundaries that separate it from its surrounding environment.
  • Input-output relationship: Systems receive inputs (resources, information, energy), process them, and generate outputs (products, services, outcomes).

These characteristics together define what makes a system a system – and they apply equally to a biological cell, a school, or an automobile.

Interrelation of components: the car as a system

A car is one of the clearest illustrations of how a system works. The engine generates power, the transmission delivers it to the wheels, the braking system controls speed, the electrical system powers lights and sensors, and the fuel system feeds everything. None of these parts can move the car alone. Remove one – say, the braking system – and the entire system becomes non-functional or dangerous.

This reflects the core idea that systems thinking expert Frank Betts, writing for ASCD, describes as synergy: “the whole (system) is greater than the sum of its parts (elements), because the relationship among the elements adds value to the system.” The car doesn’t move because of the engine alone; it moves because of how the engine, fuel, transmission, and wheels interact together.

This same logic applies to an educational institution. A university has faculty, students, administrative staff, library resources, technology infrastructure, and assessment systems. Each plays a distinct role, but it is only through their coordinated interaction that meaningful learning outcomes are produced. As a study published in the Sapientia Foundation Journal of Education, Sciences and Gender Studies puts it, a system is “a structure with interdependent parts” where the interplay of any part affects the whole.

Open vs. closed systems

Systems are broadly classified into two types based on how they interact with their environment: open systems and closed systems. This distinction has real-world significance – it determines how adaptable, responsive, and sustainable a system is over time.

Open systems

According to an educational resource on systems theory, an open system is one that continuously interacts with its environment, exchanging energy, information, and resources. Key features of open systems include adaptability, reliance on feedback mechanisms, and the ability to maintain a dynamic equilibrium between inputs and outputs.

Living organisms are the most obvious example of open systems. As Lumen Learning’s biology resource explains, biological organisms exchange energy with their surroundings – consuming energy-storing molecules and releasing energy back into the environment. A business is another example: it takes in raw materials, labor, and capital from its environment, processes them, and returns products and services to the market.

In education, universities and schools are open systems. TechTarget’s definition of open systems highlights how open systems rely on feedback to adjust processes and improve performance – exactly what educational institutions do when they gather input from students, faculty, and employers to refine curricula and teaching approaches. Changes in government policy, shifting labor market demands, or new technologies all flow into the educational system from outside, shaping how it operates.

Closed systems

Encyclopedia.com describes a closed system as one with relatively little interaction with other systems or the outside environment – relatively self-contained and self-maintaining. A mechanical watch is a classic example: once wound, it operates on its own internal logic, largely unaffected by the world around it.

In practice, Study.com notes that truly closed systems are extremely rare, since energy can almost always enter or leave a system in some form. The concept is more useful as a theoretical tool – a way of isolating a system’s internal behavior by minimizing external variables, as in a controlled laboratory experiment. In educational terms, a highly rigid, standardized curriculum that does not adapt to student feedback or cultural context behaves like a closed system. It may be efficient within its own logic, but it struggles to respond when the environment changes.

A useful way to compare the two: ASCD’s article on systems thinking in education explains that a closed system that cannot import sufficient energy from outside will eventually collapse – citing the fall of the USSR as a dramatic real-world example of a closed political system that could not sustain itself internally.

Subsystems and goals

Most systems are not single, monolithic structures – they contain smaller systems nested within them. These are called subsystems. Frank Betts explains that a subsystem is a component of a larger system – the circulatory system within the human body, for instance, or a school’s examination department within the broader educational institution. The larger system within which a subsystem operates is sometimes called the supra-system.

ScienceDirect notes that within any system, elements are organized hierarchically based on their roles, functions, and responsibilities. Subsystems focus on specific tasks, and together they contribute to the overall objectives of the parent system. As the number of subsystems increases, so does the complexity of their relationships – and the energy required to coordinate them.

Subsystems in an educational context

Consider a university as a system. Within it, several subsystems operate simultaneously: the academic subsystem (faculty, curriculum, and instructional design), the administrative subsystem (registration, finance, human resources), the student support subsystem (counseling, libraries, career services), and the research subsystem. Each subsystem has its own internal goals and processes. But crucially, they are all oriented toward a shared supra-goal: producing educated, capable graduates who contribute to society.

According to a paper published by ERIC (the Education Resources Information Center), systems theory applied to education is fundamentally concerned with the relationships, structure, and interdependence among elements – not the properties of elements in isolation. This is why educational reforms that target only one subsystem (say, teacher training) while ignoring others (curriculum design, assessment, or institutional culture) tend to produce limited results. Real improvement requires understanding how all subsystems interact.

Goals: unitary vs. pluralistic systems

Systems can also be classified by the nature of their goals. ASCD distinguishes between unitary systems, which have a single, clear goal, and pluralistic systems, which have many – sometimes conflicting – goals. Most educational institutions are pluralistic: they simultaneously aim to transmit knowledge, foster critical thinking, prepare students for careers, promote civic values, and drive research. Managing these competing goals is one of the central challenges of educational system design.

As Number Analytics points out, effective integration of subsystems toward shared goals requires strategies like collaboration between teachers and administrators, data-driven decision-making, ongoing professional development, and community engagement. When subsystems pull in different directions without alignment to the larger system’s goals, the whole institution becomes less effective – regardless of how well any single part performs.

Why the concept of systems matters in education

Understanding systems is not just an abstract exercise. Research published on ResearchGate examining systems theory in higher education governance shows that universities function as self-reproducing organizations: external policy changes or funding shifts act as stimuli, but it is the internal operations of the institution’s subsystems that determine how – and whether – those changes actually take effect. In other words, knowing how a system is structured tells you where change is possible and where it is most likely to be resisted.

For educators and instructional designers, applying a systems lens means recognizing that no single element – not the teacher, not the curriculum, not the technology – can drive quality learning on its own. The Christensen Institute’s work on modularity theory in education reinforces this: school districts function as integrated systems in which curriculum, instruction, teacher development, and student needs all share interdependent interfaces. If those interfaces are not coordinated, the system breaks down at the seams.

Thinking in systems means moving beyond fixing isolated problems and instead asking: how does this part connect to everything else? That shift in perspective is what separates reactive management from genuine, lasting improvement.

What do you think? When you look at an educational institution you are familiar with, can you identify its key subsystems – and see where they work in harmony or pull against each other? And if that institution is not adapting well to changing social or technological demands, does it behave more like an open system or a closed one?

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References
  1. https://www.encyclopedia.com/management/encyclopedias-almanacs-transcripts-and-maps/open-and-closed-systems
  2. https://en.wikipedia.org/wiki/Systems_theory
  3. https://www.sciencedirect.com/topics/psychology/systems-theory
  4. https://www.ascd.org/el/articles/how-systems-thinking-applies-to-education
  5. https://www.sfjesgs.com/index.php/SFJESGS/article/viewFile/334/333
  6. https://docmckee.com/oer/soc/sociology-glossary/open-system-definition/
  7. https://courses.lumenlearning.com/wm-biology1/chapter/reading-open-and-closed-systems/
  8. https://www.techtarget.com/whatis/definition/open-system
  9. https://study.com/learn/lesson/closed-and-open-systems.html
  10. https://files.eric.ed.gov/fulltext/ED375485.pdf
  11. https://www.numberanalytics.com/blog/understanding-systems-theory-field-education
  12. https://www.researchgate.net/publication/305028484_Systems_Theoretical_Perspectives_on_Higher_Education_Policy_and_Governance
  13. https://www.christenseninstitute.org/theory/modularity/

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Instruction in Higher Education

1 Instructional System

  1. Learning and Instruction
  2. Concept of System
  3. Instructional System
  4. Systems Approach to Instruction
  5. Selection of Instructional Inputs
  6. Effectiveness and Efficiency
  7. Role of the Teacher in the Instructional System

2 Input Alternatives – Teacher Controlled

  1. What is a Lecture?
  2. Steps in a Lecture
  3. Different Approaches to Content Treatment and Information Processing
  4. Lecture in Combination with Other Methods and Media
  5. Versatility of Lecture
  6. Demonstration
  7. Team Teaching

3 Input Alternatives – Learner Controlled

  1. Input Alternatives – Learner Controlled: The Concept
  2. Self-Learning
  3. Forms of Self-Learning
  4. Programmed Instruction/Learning
  5. Personalised System of Instruction
  6. Computer-Assisted Instruction
  7. Project Work
  8. Group-Controlled Learning Experiences
  9. Co-operative Learning Method
  10. Group Investigation

4 Evolving Instructional Strategies

  1. What is an instructional strategy?
  2. Bloom’s Taxonomy of Educational Objectives: Cognitive Domain
  3. Affective Domain of the Taxonomy of Educational Objectives
  4. Psychomotor Domain of the Taxonomy of Educational Objectives
  5. Specifying the Objectives in Behavioral Terms
  6. Difference Between Instructional Objectives, Goals of Education, Terminal Behaviors, and Learning Outcomes
  7. Evolving Instructional Strategy
  8. Dale’s Cone of Experience
  9. Evolving Instructional Strategies – Some Parameters

5 Unit and Topic Planning

  1. Unit Plan
  2. Planning the Daily Topic/Lesson
  3. Statement of General and Specific Objectives
  4. Introduction or Opener
  5. Presentation or Development Section
  6. Recapitulation or Closing Section
  7. Example of a Lesson Plan

6 Teacher Competence in Higher Education

  1. The Concept of Teacher Competence
  2. Teacher Competencies at the Tertiary Level
  3. Classification of Teacher Competencies
  4. Repertoire of Teaching Competencies
  5. How to Improve Classroom Practice
  6. Teacherโ€™s Self-Improvement

7 Skills Associated with a Good Lecture

  1. Content Organisation
  2. Preparing Lecturing Notes
  3. Activities During the Introductory Phase of a Lecture
  4. Activities During the Development Phase
  5. Activities During the Consolidation Phase
  6. Skills Associated with the Delivery of a Lecture
  7. Questioning Skills
  8. Pitfalls Associated with Lecturing

8 Skills Associated with the Conduct of Interaction Sessions

  1. Nature and Importance of an Interaction Session
  2. Tasks Undertaken in an Interaction Session
  3. Types of Discussion
  4. Formats for Group Discussion
  5. Arranging an Interaction Session
  6. Conducting an Interaction Session
  7. Follow-up of an Interaction Session
  8. Seating Plan for an Interaction Session
  9. Norms During an Interaction Session

9 Skills of Using Communication Aids

  1. Classroom Instruction and Communication Aids
  2. Classification of Communication Aids
  3. Skills of Using Some Non-Projected Aids
  4. Skills of Using Some Projected Aids
  5. Computer and Computer-Assisted Instruction Learning
  6. Integration of Communication Aids with Interaction Techniques
  7. Improvisation of Teaching Aids

10 Emerging Communication and Information Technologies

  1. Future Trends: Emerging Technologies in Education
  2. Audio-Video Technology
  3. Computer Technology
  4. Telecommunications and Networks
  5. Internet and Intranet

11 Status of Evaluation in Higher Education-I

  1. Historical background of examinations and examination reform
  2. The introduction of standardized tests
  3. The testing movement
  4. The reform movement in India
  5. Educational evaluation in the teaching-learning process
  6. Basic concepts in educational evaluation
  7. Role of objectives and evaluation in the teaching-learning process
  8. Tests and Examinations
  9. Examination as the stumbling block for qualitative assessment
  10. Defects in present-day examinations
  11. Examinations dominate teaching

12 Status of Evaluation in Higher Education-II

  1. Examination reforms – Significant aspects
  2. Reformulation of syllabus
  3. Nature of examinations and question papers
  4. Question banks
  5. Internal assessment
  6. Grading
  7. National testing service

13 Evaluation Situations in Higher Education-I

  1. Norm-referenced testing and criterion-referenced testing
  2. Formative and summative tests
  3. Cognitive and non-cognitive assessment of learning outcomes
  4. Tools and techniques for assessment of cognitive and non-cognitive outcomes

14 Evaluation Situations in Higher Education-II

  1. Evaluation of Laboratory Work
  2. Evaluation of Students’ Performance in Seminars or Similar Group-Controlled Learning Situations
  3. Evaluation of Project Work and Dissertation
  4. Internal Assessment Versus External Examination
  5. Various Types of Evaluation

15 Mechanics of Evaluation- I

  1. Framing-test items and question papers
  2. Outlining the subject matter content
  3. Identifying and stating the desired learning outcomes
  4. Different forms of test items or questions
  5. Essay type items/questions
  6. Short-answer type questions
  7. Very short answer type questions
  8. Selection type or fixed response type items or questions
  9. Essay type and objective type items compared
  10. Preparing a good question paper
  11. Preparing a Table of Specifications (Blueprint)

16 Mechanics of Evaluation-II

  1. Essential characteristics of an effective tool of evaluation
  2. Parameters concerning an evaluation item
  3. Item analysis
  4. Question banks
  5. Examination reform and question banks

17 Processing Evaluation Data

  1. Marking and grading systems
  2. The Marking system
  3. The standard error of measurement
  4. The Grading system
  5. Merits and limitations of grading system
  6. University Grants Commission recommendations on the grading system
  7. Upgraded data
  8. Test norms
  9. Computation of test norms

18 Alternative Evaluation Procedures

  1. Alternative Techniques of Evaluation
  2. Observational Technique
  3. Observation Schedule
  4. Anecdotal Records
  5. Rating Scales
  6. Checklists
  7. Score Cards
  8. Self-Reporting Techniques
  9. Interview
  10. Portfolio
  11. Questionnaires
  12. Inventories
  13. Peer Appraisal
  14. Processing Qualitative Evaluation Data
  15. Reporting the Results of Evaluation

19 Online/Web-Based Student Assessment

  1. Computers in Student Evaluation
  2. Electronic Delivery of Objective Tests
  3. Possibilities in Subjective Tests
  4. Methodologies of Essay Evaluators
  5. Other Tests Suitable for Online/Web-Based Assessment
  6. Advantages of Online/Web-Based Student Assessment
  7. Offline Use of Computers in Student Assessment