Leadership

Organization Success Means Leading with Emotional Intelligence

/ Dave Eberwein / 2 Comments

I’ve blogged about the importance of nostalgia before (The Neuroscience of Nostalgia: Why Familiar Stories Feel So Good) — how it can have a calming influence on our brain and help with self-regulation.

But can it also spur innovation?

We have all likely walked into a space and been hit with a smell that instantly transported us back to our childhood. Maybe it was fresh-cut grass, or the scent of crayons, or perhaps the smell of freshly baked cookies from grandma’s house.

Nostalgia is powerful because it connects us to something deeply human — our emotions.

And emotions are the secret ingredient for both successful leadership and innovation.

Why Emotions Matter

We live in a world obsessed with efficiency, data, and speed. But leadership isn’t just about metrics and efficiency — it’s about meaning — a deeper connection to what’s around you and its influence on you.

Emotional Intelligence (EI) is what allows us to create meaning. EI is the ability to understand and manage our own emotions while recognizing and influencing the emotions of others.

Think about the last time you felt truly heard by a leader. Chances are it wasn’t because they had the best spreadsheet or meeting agenda. It was because they connected with you on a human level.

That’s EI.

The Neuroscience Behind Nostalgia

Neuroscience tells us that revisiting positive memories activates reward pathways in our brain. It makes us feel safe, valued, and open to new ideas. In other words, nostalgia can be a powerful launchpad for innovation. When leaders tap into that emotional connection — through stories or shared experiences — they create trust. And trust is the necessary foundation for risk-taking and creativity.

How Leaders Can Harness EI

Sharing your own Journey Builds Connections

So, how do you lead with emotional intelligence in a way that is genuine and transparent?

  1. Tell Stories That Matter – Share moments that shaped you. Vulnerability builds connection. It’s OK to tell the stories of your mistakes — that your errors can lead to future success.
  2. Model Reflection – Share your learning journey with the people in your care. By modelling your journey of ‘ups and downs’ you model the uneven growth path that we all travel.

As a leader, the most important thing in your toolbox is understanding that your purpose is to support the people in your organization — it’s not decision making or getting to a set endpoint.

By leading with Emotional Intelligence, you provide the necessary trust to build relationships. Relationships build shared opportunities. Opportunities build growth. Organizational success is not achieved by having more rules and regulations. Success depends in large part on the people whom you lead — and to do that means connecting with them beyond the statistics.

When people feel emotionally safe, they take risks. They speak up. They challenge the status quo. That’s where innovation lives — not in fear of making a mistake, but in trust.

Emotional intelligence isn’t something soft that we should ignore — it’s critical and it’s strategic.

It makes THE difference in organizational success!

Digital Leadership in K–12: Harnessing AI Without Losing Humanity

/ Dave Eberwein / Leave a comment

I still remember the thrill of moving from my trusty Brother electric typewriter to a remote computer terminal. I’d type out a paper at the University of Calgary, send it across campus to the printer station, and — assuming someone was there — I’d find my term paper neatly placed in a pigeonhole. No more whiteout, no more misaligned type. Just a professional looking report. It felt like magic.

Captain Kirk at the Starship’s Computer

Back then, the future was something we saw on TV. In the 1960s and 70s, Star Trek imagined a world where Captain Kirk could simply ask the ship’s computer a question and get an instant, logical response. That seemed centuries away.

But here we are today where artificial intelligence (AI) can answer your questions in real time, scanning vast databases for what it thinks is the best response. Not perfect — just reasonable. Still, it feels like magic.

I’ve written before about AI’s potential in school (The Sky is Falling … AGAIN, Jan 2023) — personalized instruction, student assessment, lesson generation. But it’s not just about teaching and learning. AI has the ability of transforming the business side of K–12 as well — student registration, policy or procedure inquiries, workflow improvements, even analyzing population growth trends. And that’s only scratching the surface.

THE VISION: Harness AI to improve student learning and success while limiting misuse and risk.

AI is everywhere — digital assistants, search engines, social media, online shopping, fraud prevention, gaming, medical diagnosis. The list goes on. But with this leap forward come real concerns: deepfakes, bias, privacy violations, job security, hacking, intensive energy consumption and more.

So, where do schools fit in? How do we balance possibilities with risks?

To begin, we keep asking the important questions:

  • What bias and accuracy does this AI tool bring?
  • Does it make sense to use it in a particular place? Will it improve student access to their learning?
  • How do we protect data privacy?
  • How do we preserve critical thinking skills?
  • How do we keep human connections at the center?

Actively exploring its possibilities is not only important, it’s also non-negotiable. As AI’s capabilities evolve, waiting until ‘things have settled’ is like waiting for the grass to stop growing before you mow it. You might as well start now, because it’s only going to get more difficult the longer you wait.

We’ve done this before. Think calculators. Think the internet. Both were disruptive. Both raised concerns. Yet we found ways to integrate them without losing the essence of learning. Calculators didn’t erase math skills. The internet didn’t destroy originality — plagiarism existed long before Google. We adapted. We can do it again.

My point here is not to minimize the real and potential risks of AI — they are there — but, instead to chart a path of exploration that can maximize its advantages while minimizing the risks. Yes, there are bigger challenges with AI than with the calculator and the internet — primarily because AI is evolving so quickly, and we don’t know what next month will look like, let alone next year. Yet, it’s potential for improved access to curriculum, personalizing the educational experiences, building student success, and enhancing the business side of education is unparalleled.

Why AI Matters for Kids’ Brains

Can technology actually help our kids’ brains grow? Yes, if we use it wisely.

Here’s the good news — AI can be a powerful ally for brain development. AI can personalize learning, offering challenges that match a child’s pace and providing instant feedback. Research shows this supports executive functions like working memory and cognitive flexibility. When used wisely, AI can help teachers focus on what they do best — inspiring curiosity and connection.

But here’s the catch — too much automation can strip away the human connection that fuels motivation. Brains aren’t just processors — they’re social organs. Kids need eye contact, laughter, and human connection. Schools are where this happens. When I ask students what’s working for them, they never say “the technology”. They talk about teachers, administrators, counselors, educational assistants—the people who connect with them on a daily basis.

Human connections build confidence, understanding and competence — technology is a tool, not the teacher.

Of course, every shiny tool has a shadow. Over-reliance on AI can lead to passive learning, reduced creativity, and data privacy concerns. AI algorithms aren’t perfect — they carry biases that affect their output, so teaching about these potential biases help us manage how and where we use the tool.

So, what’s the solution? Balance.

Digital leadership means creating guardrails so AI enhances — not replaces — the human elements of learning. Think of AI as the sous-chef, not the head chef. It can chop the veggies, but the teacher still crafts the recipe. In Saanich, as part of our own guardrails we developed an Artificial Intelligence Framework built on four themes:

  • Teaching & Learning
  • Inclusion and Accessible Learning
  • Ethical Use
  • Privacy, Security & Safety

What Can Parents Do?

You don’t need a tech degree to stay involved. Encourage screen-time boundaries. Promote activities that build executive function outside of the tech world — things like puzzles, outdoor play, and storytelling. The best brain development happens when kids combine digital learning with real-world experiences — with trusted adults being the glue and the motivation.

AI in education isn’t a villain or a superhero — it’s a tool. In the hands of thoughtful leaders and engaged parents, it can help kids develop the cognitive skills they need for a complex world. But, we’re also not losing sight of the human heartbeat in learning.

Because, no algorithm can replace the magic of a teacher who believes in your child — or the joy of a parent cheering them on.

(This post was written by the author. AI created some of the images as well as reviewing the post for flow and grammar.)

Confidence Isn’t a Synonym for Competence

/ Dave Eberwein / 2 Comments

Have you ever watched someone speak with absolute certainty about a topic, and you knew that they really had no clue about what they were talking about?

It’s uncomfortable, isn’t it?

We have all likely been that person at some point — where our confidence exceeds our ability. What is that strange gap between confidence and competence? That’s the Dunning-Kruger Effect — and it shows up more often than we think, especially in the workplace. For a few people, it can be a daily event.

Dunning-Kruger Effect: A cognitive bias where people with low competence in a skill tend to overestimate their own abilities and knowledge in that area. This lack of metacognitive awareness prevents them from accurately assessing their own performance, while high performers often underestimate their abilities.

It’s not arrogance — it’s a lack of self-awareness. And ironically, the more skilled you actually become, the more you realize how much you really don’t know. It’s a humbling paradox: ignorance breeds confidence, while knowledge breeds humility.

In the workplace, this can manifest in subtle but impactful ways:

Confidence does not Always Equal Competence
  • Take the new manager who’s just stepped into a leadership role. They’ve read a few books, maybe taken a course or two, and suddenly they’re convinced they know how to lead a team. But leadership isn’t theoretical –it’s relational. Without emotional intelligence, listening skills, and the ability to navigate conflict, that over confidence can quickly erode trust.
  • In politics, a new leader speaks from a place of confidence yet includes statistics and events that are not true or highly exaggerated to make their point. Their presence presents itself as arrogance — yet it’s uninformed arrogance. Being familiar with the topic, you soon lose trust in the leader. You question their integrity, intentions and ability.
  • Or the school district leader, who’s just attended a one-day workshop on a new pedagogical approach to language instruction. They return to their school district, energized, ready to overhaul their system. But, without deeper understanding or support, the implementation falters. Staff are confused, students are frustrated, outcomes may drop, and the leader feels disillusioned. The intent was good, but the execution lacked depth.

Understand this effect isn’t meant to shame anyone. It’s about recognizing a pattern — and learning from it.

The real danger of the Dunning-Kruger Effect isn’t ignorance itself — it’s the illusion of knowledge. When we think we know more than we do, we stop asking questions. We stop listening. And that’s when growth stalls. Arrogance takes over and learning stops.

So how do we move forward as an organization?

NORMALIZE NOT KNOWING

  • In a culture that rewards certainty, admitting “I don’t know” can feel risky. But it’s actually a sign of calm wisdom. The most competent leaders I know are the ones who ask the most questions. They’re not afraid to look foolish by not knowing, because they know that learning is messy — and worth it.

BUILD FEEDBACK-RICH ENVIRONMENTS

  • Whether it’s in a classroom, the boardroom, or a team meeting, feedback helps us calibrate our self-perception. It’s not about criticism — it’s about clarity. When we invite others to reflect back on what they see, we gain insight into our blind spots. And that’s where real growth begins.

INVEST IN REFLECTION

  • Think about a time you were sure of something and later realized you were completely off base. What led you to that conclusion? What did you miss? Reflection isn’t about beating ourselves up — it’s about building self-awareness. Self-awareness is the antidote to the Dunning-Kruger Effect.

LEAD WITH HUMILITY

  • Humility isn’t weakness — it’s strength. It’s the quiet confidence that comes from knowing your limits and being open to learning. When leaders model humility, they create space for others to do the same. And that’s when teams thrive.

The Dunning-Kruger Effect isn’t a flaw — it’s a feature of how our brains work. But when we understand it, and pay attention to opportunities when it might happen, we can move from unconscious incompetence to conscious growth.

So, stop pretending to know when you don’t … admit when you don’t know something … and look for those opportunities to gain the knowledge you’re missing.

Be genuine … Be transparent … Be humble … and seek knowledge.

Why wouldn’t we want to do that?

(This post was inspired by the author prompting AI, however, the majority of the writing is the author’s own work.)