Science → Education → Project → New Science
How a research question becomes an educational task, a result tested in practice, and the next scientific question.
Research produces models, methods and data. Lecturers transform these into teaching materials and tasks that participants can examine and apply.
Project work tests the acquired method against actual constraints and produces evidence that may challenge the initial model. That evidence gives research a reason to begin again.
This is an author-developed research architecture. The campus scenario and agent roles are illustrative; they do not describe an operating, institutionally authorised University 5.0 service.
Knowledge reproduction
Research question
- Input
- Phenomenon and contradiction
- Transformation
- Formulating the problem
- Result
- Research problem statement
- Next responsible role
- Researcher
Knowledge crosses several areas of work and returns with new evidence
The university investigates a question, translates a method into educational tasks and tests it through projects. The practical setting introduces factors that may be absent from the first model.
Each iteration can revise the work of participants, educational programmes, projects, evidence and the institution's account of its own activities. The transition requires assessment and a decision by the people responsible.
Science to education
Research findings are turned into concepts, methods, materials and assignments.
Education to action
A participant learns a way of working through a substantive task.
Action to project
A learning task acquires practical context, roles and constraints.
Project to data
Implementation provides observable results and fresh empirical information.
Data to interpretation
Practical outcomes are compared with the original model.
Interpretation to new science
Differences, limits and new relationships shape the next research question.
Examine the cycle in the University 5.0 model
A separate illustrative model explores how research, learning and projects exchange results. Its interface is currently in Russian.
Open the model (Russian)Eight levels connect the research result to the next investigation
Research problem
Includes- Problem
- Question
- Hypothesis
- Object of study
- Subject of study
- Context
- Expected contribution
Produces: Direction of investigation.
The cycle begins with a research problem that can be examined
A research question identifies the phenomenon that needs explaining, the relationships to be tested and the evidence that must be collected. It also needs a connection to existing knowledge, a practical problem and potential educational use.
Elements of a research problem
Illustrative research problem
- Phenomenon
- Excessive resource consumption on a university campus
- Contradiction
- Similar buildings respond differently to comparable technical measures.
- Research question
- How do technical condition, room-use schedules, user behaviour and operating rules interact to produce resource losses?
- Hypothesis
- Persistent loss reduction requires coordinated technical, behavioural and organisational change.
Formulate a research problem
Select at least one possible factor. No question or hypothesis is formed until you do.
Research produces a model, method and unresolved questions
A scientific result should contain supported findings, a stated scope of applicability, known limitations and questions for further investigation.
Elements of the result
Illustrative scientific result
Title: Model of technical, behavioural and organisational factors affecting resource losses.
Contents:
- Types of loss
- Links to the timetable
- Effects of usage patterns
- Role of operating rules
- Applicability conditions
- Data limitations
Possible uses
The result can inform any of the following, subject to the relevant review:
Scientific findings become ways of working
Educational transformation draws out concepts, methods, tasks, criteria and levels of difficulty. Participants can reproduce a method, examine it in a new context and create a result of their own.
Concepts
- Resource system
- Types of loss
- Dependency
- Usage pattern
- Behavioural factor
- Organisational rule
Methods
- Data collection
- Process mapping
- Time-series analysis
- Comparative analysis
- Scenario modelling
- Hypothesis testing
Materials
- Models
- Diagrams
- Data excerpts
- Case descriptions
- Criteria
- Questions
Tasks
- Diagnostic
- Analytical
- Project
- Research
- Management
Results
- Factor map
- Model
- Scenario
- Prototype
- Research note
Turn research into learning
Source research result: Model of the factors behind resource losses.
- Educational aim
- Analyse data from one building and identify the main sources of loss.
- Knowledge
- Factor model and analytical method
- Actions
- Data examination and interpretation
- Roles
- Student and lecturer
- Criteria
- Completeness of sources and consistency with the model
- Expected competencies
- Data analysis and interpretation
- Output
- Analytical map
- Next transition
- Laboratory verification
A learning task meets practical constraints
Project work connects a learned method and a reviewable educational result to an actual facility, resources, timing, participants and the possible consequences of a decision.
What the project setting adds
Illustrative project task
Design a limited pilot for reducing resource losses in one university building, accounting for equipment condition, timetables, user behaviour and operating rules.
Potential team roles
Build a project brief
No participants have been selected. This proposal remains a draft until responsibilities are agreed.
- Facility and aim
- Teaching building: Reduce energy losses
- Stages
- Define the facility → collect data → check model → design scenarios → agree approach → pilot → observe → draw conclusions
- Participants
- Not selected
- Resources
- Team time, access to the facility, analytical tools
- Checkpoints
- After data collection, after agreement, after the pilot
- Constraint
- Incomplete data
- Expected evidence
- Comparison of alternatives, assumptions and limits of applicability
- Connection to research
- Analytical scenario would provide evidence to revise the initial model of resource losses
Practice tests a model under real constraints
Working with a real system tests the model against changing conditions, institutional requirements and the way people actually behave.
Ten stages of project practice
- 01Define the object
- 02Collect actual data
- 03Check the initial model
- 04Design scenarios
- 05Reach agreement with participants
- 06Run a limited pilot
- 07Observe the result
- 08Analyse deviations
- 09Form findings
- 10Return data to the research process
Types of project result
Practice generates evidence that cannot be known in advance
A project records how the system behaves, how participants respond, where technical constraints arise and what follows from the proposed solution.
Technical
- Actual consumption
- Equipment operating mode
- Deviations
- Failures
- Infrastructure constraints
Behavioural
- User reactions
- Compliance with new rules
- Adaptation
- Persistence of change
Organisational
- Effects of the timetable
- Allocation of responsibility
- Speed of approval
- Process conflicts
Economic
- Costs
- Resource needs
- Operating consequences
- Scalability
Educational
- Participant actions
- Quality of solutions
- Evidence for competence review
- Difficulties
- Transfer of methods
Research
- Discrepancies with the hypothesis
- New factors
- Additional dependencies
- New questions
How observations change the model
Starting model: equipment condition, timetables and user behaviour explain resource losses.
- Actual observation
- After a timetable change, evening consumption fell in only some rooms.
- Initial assumption
- Timetable changes affect consumption uniformly.
- Revision to the model
- Add local operating mode as a factor. (Differences in local operating modes)
- New question
- Which local operating modes explain the difference?
- Additional research
- Comparative study of rooms.
Differences between the model and practice create a new question
The next investigation begins by comparing expected and actual project outcomes. Researchers gain new evidence, constraints, factors and possible explanations.
Revise the model
Include a newly discovered factor or relationship.
New hypothesis
Test a possible explanation of an observed result.
New method
Change how evidence is gathered or analysed.
New scale
Move from one building to a campus or facility network.
Comparative study
Compare spaces, groups or scenarios.
Long-term observation
Examine whether the outcome persists over time.
Form a new hypothesis
Starting observation: technical changes remain effective only when users receive regular feedback.
- New hypothesis
- Users better understand the consequences of their actions helps determine whether the effect persists.
- Research question
- How does the following condition affect persistence for individual group: users better understand the consequences of their actions?
- Required evidence
- Behavioural observations, indicators of persistence and relevant documents
- Method
- Observation
- Link to previous cycle
- Revises the resource-loss factor model
- Educational potential
- Behavioural model → a subsequent module and project task
How knowledge moves between people and different kinds of work
Eight human roles and ten linked artefacts describe who receives the outcome of one stage, what they do with it, and what they provide to the next participant.
- Researcher. Formulate the investigation → Scientific result → recipient: Lecturer.
- Lecturer. Design the module → Educational module → recipient: Student.
- Student. Carry out work and reflect → Solution and competence evidence → recipient: Project designer.
- Project designer. Design the project → Project model → recipient: Expert.
- Expert. Expert review → Review findings → recipient: Partner.
- Partner or facility owner. Supply context and assess the result → Assessed pilot and data → recipient: Researcher.
- Coordinator. Coordinate transitions → Current working plan → recipient: All roles.
- Programme leader. Make an institutional decision → Revised programme → recipient: Researcher and lecturer.
- Responsibility areas
- Formulation of the question
- Hypothesis
- Method
- Interpretation
- Scientific result
- Guiding question
- Which phenomenon needs an explanation?
- Action
- Formulate the investigation
- Result
- Scientific result
- Recipient
- Lecturer
- Accountability
- Grounds for the findings
- Next transition
- Transfer into education
Each iteration opens a new context for developing competence
Research, teaching, project work and the return to science create tasks of different complexity. Completed work produces evidence for review, not automatic certification of competence.
Scientific work develops
- Asking research questions
- Working with methods
- Analysing data
- Scientific argument
- Critical interpretation
Education develops
- Understanding concepts
- Reproducing a method
- Solving structured tasks
- Reflection
- Communication
Project work develops
- Working with constraints
- Design
- Coordination
- Decision-making
- Responsibility for outcomes
Return to research develops
- Comparing model and practice
- Finding new factors
- Formulating hypotheses
- Transferring experience
- Independent research
What a university's digital model would need to record
A proposed digital twin connects research questions, people, projects, evidence, roles and changes over time. Educational analytics can help examine those records; proposed updates still require human review.
The digital twin records
- Research questions
- Projects
- Participants
- Roles
- Resources
- States
- Results
- Relationships
- Events
Educational analytics examines
- Movement of results
- Quality of handovers
- Role participation
- Difficulties
- New evidence
- Differences between model and practice
- Consequences of decisions
EduOS Lad would coordinate
- Routes
- Tasks
- Context handover
- Timetables
- Checkpoints
- State updates
Specialised agents could assist with handovers between stages
These are proposed support functions for organising sources, evidence and tasks. An agent's recommendation does not replace a researcher's findings, expert assessment or the decisions of people with institutional responsibility.
Scientific navigation agent
- Structure a research field
- Relate sources
- Identify open questions
- Trace the origin of concepts
Analysis agent
- Process data
- Identify relationships
- Compare the model with practice
- Prepare observations
Tutor agent
- Explain a method
- Suggest assignments
- Support learning
- Relate tasks to pathways
Critical-review agent
- Check hypotheses
- Identify weak grounds
- Compare alternative explanations
- Record uncertainty
Coordination agent
- Connect roles
- Prepare handovers
- Update the proposed plan
- Monitor dependencies
Competence agent
- Relate actions to evidence
- Identify new contexts
- Suggest the next task
Governance agent
- Check permissions
- Determine access
- Record the grounds for decisions
- Support a change log
Agent-supported cycle
- Stage
- Research question
- Agents involved
- Scientific navigation, Critical review
- Support function
- Checking, assisting the transition and carrying context forward
- Input
- Research field and sources
- Proposed result
- Formulated research problem
- Recipient
- Research procedure
- Human decision role
- Researcher
How one result may change work across a university
A pilot can affect five levels: participant, team, programme, research field and university. The model distinguishes evidence that supports a change from the decision to make it.
- Level
- Participant
- Potential changes
- Knowledge
- Competencies
- Roles
- Learning pathway
- Research interests
- Evidence or input for revision
- Competence graph and a new task
- Accountable role
- Participant and mentor
- Next iteration
- Next learning or project task
The complete reproductive cycle
The full scenario connects the research problem, educational transformation, project practice, practical evidence and a new scientific iteration.
A research question enters education and returns as a new research task
This extended campus resource-loss example follows the research, education, project and new-iteration phases. The steps illustrate dependencies, not a claim that they have occurred in a real university.
- Stage 1
- Practical observation
- Phase
- Research
- What happens
- The university observes different resource-consumption patterns in similar buildings.
Rules of the reproductive cycle
Research provenance
Educational content retains links to the scientific question, method and sources.
Explainable transformation
A scientific result becomes concepts, tasks, actions and review criteria.
Reviewable learning task
A participant creates a result linked to a particular method of working.
Practical context
A project includes actual constraints, resources, participants and consequences.
Observable evidence
Practical application produces information that can be examined.
Distinguish facts and interpretation
Observation, explanation, hypothesis and decision are recorded with distinct statuses.
Role-based confirmation
Each handover has an accountable role and review criteria.
Preserve provenance
Sources, methods, versions, decisions and changes remain reviewable.
Make uncertainty explicit
Each part of the cycle records open questions and limitations.
Return to research
Practical evidence informs a new research problem.
Educational update
Reviewed results can enter programmes, tasks, pathways and competence assessment.
Repeatability
Every iteration can provide the grounds for another cycle.
What the University 5.0 reproductive cycle connects
Research question
The cycle begins with a problem, hypothesis, method and evidence requirements.
Scientific result
Research produces a model, findings, method and open questions.
Educational transformation
Scientific knowledge becomes concepts, tasks, actions and criteria.
Project practice
A learning task acquires a real setting, resources, constraints and responsibility.
Practical data
Application reveals actual system behaviour and tests the initial model.
New research iteration
Discrepancies and new relationships lead to the next research question.
Institutional update
Reviewed outcomes can change participants' work, programmes, projects, research and the university's digital twin.
Research produces knowledge that can be taught and applied. Practice supplies evidence that may change the model. Reviewed results can inform the next investigation, the next learning task and the institution's decisions.