Repetitive tasks are actions or processes that are performed frequently and follow the same or similar steps each time. In the Vocational Education and Training (VET) sector, these tasks are often related to administrative duties, communication, content preparation, and assessment routines. While they are essential, they can consume significant time and mental energy that could otherwise be used for teaching, innovation, or personal development.
Repetitive tasks typically:
- Follow a predictable structure.
- Occur regularly (e.g., daily, weekly, monthly).
- Require low cognitive effort but significant time investment.
- Are rule-based and thus suitable for automation.
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For example, common repetitive tasks in the VET context could include:
- Preparing lesson plans with similar formats
- Entering student attendance
- Marking standardised assessments
- Sending reminders or announcements
- Scheduling meetings
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Repetitive tasks, although seemingly relatively harmless, can add up to large amounts of time that could be spent on other tasks. For example:
- 30 minutes/day entering data = 2.5 hours/week
- 30 minutes/day preparing communications = 2.5 hours/week
- 2 hours/week creating similar materials = 8 hours/month
That is potentially over 25 hours/month of work that could be streamlined or automated.
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In daily work, both in educational settings and in companies, a lot of time is wasted on repetitive and inefficient tasks: copying data between platforms, sending emails manually, or searching for information that could be automated.
Before incorporating AI tools and improving workflow, it is necessary to understand where time and energy are going, as many inefficiencies go unnoticed because they have become routine. This will allow you to prioritise which tasks have the greatest potential for improvement.
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Inefficiencies are areas in the workflow where:
- Time is wasted due to unnecessary repetition.
- Manual effort could be replaced by automation.
- Processes are fragmented or not optimized.
- Errors or inconsistencies occur due to human fatigue.
- The effort invested does not provide significant value.
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Warning signs: Where inefficiencies tend to occur
- Use of multiple non-integrated platforms.
- Duplication of work between colleagues or departments.
- Processes that rely on manually copying/pasting data.
- Lack of templates or standardisation for emails, reports or evaluations.
- Frequent delays due to human error.
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Some signals that a task is inefficient come when you catch yourself saying, ‘I already did this yesterday...’, or when it takes time away from what really matters (teaching, preparing lessons, helping students).
Think about your daily routine and answer the following questions:
- Which task do I find most tedious to repeat?
- Which one makes me feel like I am wasting my time?
- Where do I usually make mistakes due to fatigue or lack of attention?
These responses are your first clues to inefficiencies.
| Artificial Intelligence (AI) is no longer a futuristic concept; it is part of everyday life. From recommending songs to scheduling meetings, AI tools are already streamlining our personal and professional activities. In the VET context, educators can benefit from a wide range of AI-powered solutions designed to save time, reduce routine effort, and enhance the learning experience. |
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In simple terms, AI refers to computer systems that can perform tasks typically requiring human intelligence. These tasks can include:
- Understanding and generating natural language (text/speech).
- Recognizing patterns in data.
- Translating between languages.
- Making recommendations based on preferences or history.
- Automating rule-based actions.
AIVET AI Tools Repository includes a curated list of AI tools relevant for VET:
- Content creation and processing: Audacity, Canva AI, DALL-E, Descript...
- Learning and training support: Anki, Brainly, Classcraft, Coursera AI...
- Data analysis and problem solving: AskCodi, ChatGPT, Datawrapper, Deepnote...
- Simulation and immersive technologies: Blender, ClassVR, Cospaces Edu, Engage VR...
A Task Automation Map is a visual or tabular breakdown of:
- Tasks
- Frequency of those tasks
- Steps involved in completing each
- Whether those steps are manual or repetitive
- The tools currently used (if any)
- Automation potential for each task
The Task Automation Map helps identify bottlenecks and automation candidates in the workflow, acting as a blueprint for smarter, more efficient working.
Tasks can be categorised into 3 simple categories:
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Category
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Characteristics
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Examples
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Repetitive
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Occur frequently, structured, time-consuming
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Sending reminders, updating spreadsheets
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Creative
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Require human judgement or creativity
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Giving feedback, mentoring, lesson design
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Mixed
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Contain both manual and creative elements
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Grading with rubrics, preparing quizzes
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Automation is most useful for repetitive and mixed tasks.
For creating the task automation map, we can use for example the following template:
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Task
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Frequency
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Steps involved
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Time spent
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Tool used
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Automation potential
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Prepare attendance sheet
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Weekly
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Open Excel > copy names > format sheet
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30 min
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Excel
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High
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Email weekly updates to students
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Weekly
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Write > copy > send
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20 min
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Gmail
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Medium
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Create lesson plans
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Weekly
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Research > Write content
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2 hours
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Word
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Low
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Automation potential legend:
- High: task is rule-based and predictable
- Medium: some parts could be automated
- Low: requires deep thinking, empathy or complex judgement
Some tools you can use for creating your task automation map include:
- Google Sheets/Excel: simple and flexible
- Notion/Trello: for a more visual, card-based view
- Miro/Lucidchart: for flowcharts and visual mapping
- Pen and paper
A workflow is the set of steps or actions required to complete a task from start to finish. In simple terms, it’s a recipe for how something gest done.
Each workflow can be:
- Linear: the same steps every time (e.g. sending a reminder email).
- Branching: steps vary based on a condition (e.g. if student if absent --> notify admin).
Understanding the workflow structure helps identify where automation is possible.
Example of a repetitive workflow: sending weekly assignment reminders
Steps:
- Open calendar to check upcoming deadlines
- Draft email with deadline details
- Copy and paste student email list
- Send message
- Archive confirmation
Using an AI tool like ChatGPT (for text generation) + Gmail scheduled send or a workflow tool (e.g. Zapier), this entire task could be mostly automated.
Steps to map your own workflow
Choose one repetitive task from your Task Automation Map. Focus on tasks that are repetitive, rule-based and don’t require human empathy or creativity; these are your automation entry points.
Follow these steps:
- Task title: what is the task?
- Trigger: what prompts you to do it (e.g. weekly deadline, student request)?
- Steps: list each action you take, in order.
- Tools used: any apps, files, platforms involved?
- Decisions: are there conditions that change what you do?
- Time spent: estimate how long the full process takes.
- Pain points: which steps are time-consuming, boring, error-prone?
Tools to map workflows visually
A simple flowchart helps see where automation could fit in. Here are some tools you can use to visualize your workflows:
- Miro / Lucidchart: flowchart tools for branching workflows.
- Draw.io: free diagramming tool, great for process maps.
- Notion / Trello: card-based task flow for linear workflows.
- Pen and paper: the low-tech option.
Optional: workflow templates
You can begin building automation-ready templates of your workflows. For example:
- Standardized email templates
- Pre-set digital forms
- Auto-filled documents
These small tools can drastically reduce time spent on repeatable processes.
| Just because a task can be automated doesn’t always mean it should be. Automation is a tool, not a one-size-fits-all solution. |
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Ask yourself the following five questions before deciding to automate any task:
- Is automation truly solving a problem?
Is it saving time, reducing errors, or removing friction?
- Is the task stable?
Do the steps change frequently, or are they predictable?
- Does automation reduce meaningful human interaction?
Will learners, colleagues or partners lose something important (e.g. empathy, responsiveness)?
- Do I have the right tools and skills to set it up?
Can I manage the tool independently, or will it require complex setup and maintenance?
- What are the risks of automating this task?
Could it lead to misunderstanding, errors, or loss of control?
If the benefits outweigh the risks, automation is likely a good fit.
You can also use a step-by-step flowchart to guide your decision:

When NOT to automate
Avoid automating if:
- The task requires emotional intelligence or sensitive judgement (e.g. counselling, feedback on behaviour).
- The consequences of failure are high (e.g. in health, legal, safety-related tasks).
- The automation would create more work than it saves (e.g. complex integration that frequently breaks).
- The tool is not GDPR-compliant or compromises data privacy.
Example: Automate or not?
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Task
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Automate?
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Why/why not
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Weekly reminder emails
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Yes
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Repetitive, predictable, low-risk
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Writing individual student feedback
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No
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Requires personal insight and tone
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Translating resource documents
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Yes (with review)
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Saves time but needs quality check
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Grading multiple choice quizzes
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Yes
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Structured, rule-based
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Handling student complaints
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No
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Needs empathy and discretion
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You have explored which tasks are repetitive, how to map them, and which AI tools can help you. Now comes the key step: implementing your automations and optimising them over time.
Implementation is not about doing everything at once, but rather starting with simple tasks, evaluating results, and progressively improving.
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How to get started: step-by-step strategy
- Choose a simple, low-risk task.
- Example: set automatic reminders in your calendar or draft an email with the help of AI.
- Configure the tool.
- Spend a few minutes testing and adjusting templates or commands.
- Test it with a small group (e.g. your students in a course).
- Assess the impact.
- How much time did you save?
- Were there fewer errors or repetitions?
- Did students receive the information more clearly or quickly?
- Adjust and document.
- If something does not work as expected, modify the settings.
- Document your workflow (short notes are sufficient) so that you can easily repeat it.
- Scale progressively
- Once you have mastered a simple case, move on to automating more complex processes (e.g. integrations between email, forms and cloud storage).
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Indicators for evaluating effectiveness
- Time saved: how many minutes/hours does it free up each week?
- Accuracy: are manual errors reduced?
- Satisfaction: do students or colleagues notice improvements?
- Sustainability: does automation remain in place without the need for constant adjustments?
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Best practices for implementation
- Start small: avoid automating too many things at once.
- Combine human + AI: use AI as support, but retain your judgement for sensitive tasks (personal feedback, critical assessments).
- Protect privacy: verify that tools comply with data protection regulations (e.g. GDPR).
- Review periodically: what works well today may need adjustments tomorrow.
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