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Learning New Technologies

Author: Sophia

what's covered
In the previous lesson, you explored how enterprise systems connect teams across an organization. In this lesson, the focus shifts to you as a technology user. Whether you are in an office, working from home, or studying at school, you will often face new digital tools. The more confident you are in learning technology, the more productive and independent you can become. Specifically, this lesson will cover:

Table of Contents

before you start
Do you think of yourself as tech-savvy?

Many people see it as a trait, but it is really a set of learnable habits. Anyone can build tech skills with the right strategies.

Think about a time you had to use a new tool, device, or website without much help. What made it easier—or harder—to learn?

Learning new technology is part of everyday life. The more you practice adapting, the more confident and independent you will become—at school, at work, or anywhere in between.

1. Growth Mindset

A growth mindset is the belief that you can improve through practice and effort. Psychologist Carol Dweck introduced this concept to show how attitudes affect learning. If you have a fixed mindset and believe your skills are unchangeable, you may give up when something is hard. But with a growth mindset, you see challenges as chances to grow (Dweck, 2006).

This mindset is particularly valuable when learning new technology because digital tools change frequently and often lack intuitive design. Software updates, tool changes, and new apps are part of modern work and learning. A growth mindset helps you stay patient and motivated as you adjust.

EXAMPLE

A learner trying a new video editing tool feels overwhelmed but reminds themselves it is okay not to know everything yet—and keeps exploring until they figure out how to trim a clip.

The flowchart given below shows how you can shift your thinking and take action when learning feels overwhelming. These are real strategies you can try anytime you face a challenge.

A five-step flowchart showing how to respond with a growth mindset when learning something new. Step 1 is ‘Pause and Notice Frustration’—acknowledge that feeling stuck is normal. Step 2 is ‘Shift Your Thinking’—remind yourself you can figure it out with effort and time. Step 3 is ‘Take One Small Step’—try something simple, like clicking on a menu or typing a test note. Step 4 is ‘Use a Resource’—get help from built-in tips, a teammate, or an AI assistant. Step 5 is ‘Reflect and Keep Going’—notice what worked to build confidence for the next step.

big idea
A growth mindset transforms technology challenges from threats to learning opportunities, building your resilience—the ability to bounce back from setbacks and keep trying—when facing unfamiliar digital tools.

terms to know
Growth Mindset
The belief that skills and abilities can improve with effort and learning.
Fixed Mindset
The belief that skills and abilities are unchangeable traits rather than qualities that can be developed.
Resilience
The ability to recover quickly from setbacks and continue learning despite difficulties or frustrations.


2. Meta-Skills for Learning Technology

After developing a growth mindset, the next step in becoming more confident with technology is learning how to approach unfamiliar tools. When formal training is not available, using meta-skills—flexible learning strategies—can support independent problem-solving.

These strategies apply across different tools and environments. Practicing them helps reduce frustration and build confidence while learning something new.

The table below introduces three core meta-skills for learning technology. Together, they create a process for adapting to any tool.

Strategy What It Means Real-World Example
Explore Examining a tool’s layout without needing to know everything right away Navigating through menus and icons to understand the structure of a new scheduling tool
Experiment Trying different actions to see what happens, without fear of causing harm Changing a setting or testing a feature in a budgeting tool to learn how it works
Generalize Applying knowledge from one tool to another to shorten the learning curve Using formatting skills from a familiar word processor in a new writing tool

IN CONTEXT: Figuring Out a New Tool

A new employee is asked to track work hours in an online timesheet tool they have never used. There is no training, and they need to submit their hours by the end of the day.

They start by exploring the tool—clicking tabs and menus to see what is there. Then, they experiment by entering sample hours and testing buttons to see what happens. Some features look familiar from a tool they used before, so they generalize what they already know to finish the task.

By using these three strategies, the employee submits the timesheet without needing step-by-step help.

The diagram below shows how the core meta-skills for learning technology work together in a cycle. This process helps you learn faster, solve problems, and build confidence as you go.

A circular diagram illustrates how exploration, experimentation, and reflection work together. The first step, ‘Start With Exploration’, encourages users to look around a tool or app, noticing menus, buttons, or settings without feeling the pressure to act. Next, ‘Try Experimentation’ invites users to click a button, adjust a setting, or enter test data to see what happens. The third step, ‘Observe the Outcome’, prompts users to notice what changed, whether it met expectations, or solved the problem. Then, ‘Generalize What You Learned’ encourages reflection on how this action could apply to other tools or situations. The cycle ends with ‘Repeat the Process’, urging users to use their new understanding to explore the next feature or tool, reinforcing a continuous learning loop.

try it
Use a free online tool to practice your meta-skills for learning technology. As an optional activity, visit Google Slides—a free presentation tool that is part of Google Workspace.

Spend a few minutes exploring the tool, using these strategies:

  • Explore: Click through menus and formatting options to see what features are available.
  • Experiment: Start a blank presentation. Try changing themes, adding shapes, or adjusting text formatting.
  • Generalize: Apply what you know from other tools like PowerPoint or similar presentation software to navigate the Google Slides interface.
*Google Slides is a third-party tool not affiliated with Sophia Learning.

big idea
Learning new technology is not about knowing everything in advance—it is about knowing how to explore, test, and transfer what you already know.

terms to know
Meta-Skills
Flexible learning strategies that help with adapting to new tools across different situations.
Explore
To look through a new tool or system to understand its layout and features.
Experiment
To test features in a new tool through trial and error to learn how they work.
Generalize
To apply knowledge from one tool to help understand another.


3. Getting Help

Learning a new tool does not always go smoothly. Even with strong strategies, questions will come up. Knowing how—and when—to seek help is a key part of solving problems independently. Good help-seeking is a skill. It involves choosing the right type of support, knowing where to find it, and recognizing when it is working.

The table below shows three common sources of help, with tips and examples for how to use them effectively.

Help Source When to Use It What It Is Like
Built-in help Use this when first opening a new tool or trying to complete a specific task. Click a question mark icon, open the Help menu, or search for a tutorial. A short article walks through formatting steps.
Company resources Use this when a tool is used differently in a specific job or team context. Ask a teammate for guidance. They point to a shared folder with templates and tips tailored to your workflow.
Communities of practice or peer support groups Use this when built-in help does not cover advanced questions or unique use cases. Post a question in a team chat, workplace forum, or online software group to get real-world solutions.

IN CONTEXT: Getting Help From Multiple Sources

A remote worker is struggling with an unfamiliar video conferencing platform. They need to host a meeting later in the week but are unsure how to schedule, record, or share a session.

Instead of waiting for formal training, they begin by searching for support videos online. These short tutorials help them understand the basic functions. They also review a slide deck shared by a teammate, which includes screenshots and tips specific to how their team uses the platform. Finally, they join a workplace discussion thread where coworkers exchange advice and troubleshoot common issues together.

By using multiple help sources, they learn the platform quickly and feel confident about hosting their meeting.

Using the right help at the right time can reduce frustration, speed up learning, and build independence. Over time, learners can become more confident not just in finding answers but in deciding which kind of help will be most useful.

try it
Think of a tool that you have used but never fully explored. Visit its Help section or search for a tutorial.
Was the help resource clear, useful, or confusing?
Some help systems offer step-by-step guidance or visuals, whereas others are text-heavy. Learning to spot good help resources saves time and reduces frustration.

terms to know
Built-In Help
Instructional tools within a tool that explain how to use features.
Company Resources
Internal guides, templates, or support documents available at work.
Communities of Practice or Peer Support Groups
Groups where people share tips and solve problems together on specific tools or topics.


4. AI-Assisted Learning

Artificial intelligence (AI) tools like ChatGPT, Google Gemini, or Microsoft Copilot can help you learn faster and solve problems in real time. These generative AI tools support AI-assisted learning—the use of AI to speed up learning or troubleshoot tasks—by offering summaries, instructions, or examples based on what you type.

What AI can help with:

  • Answering “how do I…” questions
  • Summarizing long documents
  • Generating examples or editable templates for emails, reports, or project outlines.
  • Translating complex instructions into simpler steps

EXAMPLE

An intern uses AI to shorten a long report about cybersecurity trends before a team meeting. This helps them understand the main ideas quickly and share their thoughts with more confidence.

These are some of the main ways AI can support your learning, though new features are added regularly. Depending on the platform and your needs, AI may also assist with brainstorming ideas, checking grammar, organizing content, or walking through interactive tutorials.

AI works best when you provide a clear prompt. Try phrasing questions as you would ask a person, such as “How do I sort data in Excel?” or “Can you explain pivot tables in simple terms?”

IN CONTEXT: Asking AI for Help With a Common Task

A learner needs to print a poster-sized file for a class presentation but is not sure how. Instead of guessing or searching through printer settings, they ask an AI assistant, “How do I print a poster-sized file?”

The AI gives clear steps: how to adjust page size, set the print layout, and choose the right paper. The instructions are easy to follow, and the learner finishes the task without needing extra help.

While AI can be useful for technical questions like this, it is important to remember it is not a real person. Sometimes the answers may be incorrect or confusing, so it is always a good idea to double-check with another source when unsure.

learn more
To explore more about using AI for learning, check out this optional supplemental reading:

Student Guide to Artificial Intelligence

terms to know
Generative AI
A type of AI that creates content or explanations based on user input.
AI-Assisted Learning
The process of using artificial intelligence tools to learn faster or troubleshoot tasks.
Prompt
A question or command typed into an AI assistant to receive help or content.

summary
In this lesson, you practiced learning to learn. You started with a growth mindset, recognizing that improvement comes through effort.

You explored meta-skills for learning technology such as exploration, experimentation, and generalization, which help you face unfamiliar tools with confidence.

You learned where to find help—through getting help strategies like built-in help, company resources, and communities of practice or peer support groups—and how to engage with them effectively.

Finally, you saw how AI-assisted learning can guide your process when you need fast, accurate, and accessible support.

In the next lesson, you will explore digital hygiene—the habits and practices that keep your data and devices safe in a connected world.

Source: THIS TUTORIAL HAS BEEN ADAPTED FROM OPENSTAX’S “WORKPLACE SOFTWARE AND SKILLS.” ACCESS FOR FREE AT OPENSTAX.ORG/DETAILS/BOOKS/WORKPLACE-SOFTWARE-SKILLS. LICENSE: LICENSE: CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL.

REFERENCES

Dweck, C. S. (2006). Mindset: The new psychology of success. Random House. adrvantage.com/wp-content/uploads/2023/02/Mindset-The-New-Psychology-of-Success-Dweck.pdf

Elon University, & American Association of Colleges and Universities. (2025). Student guide to artificial intelligence. studentguidetoai.org/wp-content/uploads/2025/03/Student-Guide-to-AI-2025.pdf

Terms to Know
AI-Assisted Learning

The process of using artificial intelligence tools to learn faster or troubleshoot tasks.

Built-In Help

Instructional tools within a tool that explain how to use features.

Communities of Practice or Peer Support Groups

Groups where people share tips and solve problems together on specific tools or topics.

Company Resources

Internal guides, templates, or support documents available at work.

Experiment

To test features in a new tool through trial and error to learn how they work.

Explore

To look through a new tool or system to understand its layout and features.

Fixed Mindset

The belief that skills and abilities are unchangeable traits rather than qualities that can be developed.

Generalize

To apply knowledge from one tool to help understand another.

Generative AI

A type of AI that creates content or explanations based on user input.

Growth Mindset

The belief that skills and abilities can improve with effort and learning.

Meta-Skills

Flexible learning strategies that help with adapting to new tools across different situations.

Prompt

A question or command typed into an AI assistant to receive help or content.

Resilience

The ability to recover quickly from setbacks and continue learning despite difficulties or frustrations.