The Evolving Role of University Faculty in the Age of Digital Intelligence: A Study of Nigerian Universities

Imagine the world of education as a massive, bustling library. For decades, the librarians (the teachers) had a very specific job: they stood behind a counter, handed out books, and made sure everyone read the right chapters. But recently, the library has been upgraded with a super-intelligent, magical robot assistant that can answer questions, write stories, and even organize the shelves in seconds. This isn't just a new book; it's a whole new way of thinking called Digital Intelligence. It's not just about knowing how to turn a computer on (that's old-school "digital literacy"); it's about knowing how to talk to the robot, check if it's telling the truth, and use it to create something amazing without getting tricked.

Now, picture the librarians trying to figure out how to work with this new robot. Are they excited? Are they scared? Do they know how to use it, or are they just pressing buttons randomly? This is the big question researchers are asking in universities around the world, especially in places where the internet might be a bit shaky and the computers might be a bit old. They want to know: When the library gets a super-smart robot, does the librarian become a robot, a partner, or just a confused bystander? And does the librarian's age or how long they've worked there change how well they handle the new machine?

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The Story of the Nigerian University Librarians

A researcher named Ademola Adedeji decided to investigate this exact scenario, but with a twist: he looked at universities in Nigeria. He wanted to see how the "librarians" (university professors and lecturers) were handling the arrival of Digital Intelligence. This isn't just about using email; it's about using smart tools like Artificial Intelligence (AI), data trackers, and online classrooms to teach, do research, and help students.

Adedeji didn't just guess; he went on a digital treasure hunt. He asked 900 faculty members from 18 different universities across all six regions of Nigeria to fill out a survey. Think of it like a giant, serious game of "Show and Tell" where the teachers had to admit how much they were using these new tools, how good they felt at using them, and how much their jobs had changed.

What Did They Find? The Good, The Bad, and The "Getting There"

1. The Tools Are Being Used (A Lot!)
The first big surprise was that the teachers are actually using the new tech. The study found a Grand Mean of 3.67 (on a scale where 3.00 is the line between "not really" and "yes") for tool adoption. This means the teachers are definitely using things like Zoom for class, digital libraries, and even AI tools to check their work. It's like the librarians have stopped ignoring the robot and are actually asking it for help. However, the study noted that while they use the basics well, some of the super-advanced tools (like complex data analytics) are still a bit like a new toy that hasn't been fully figured out yet.

2. The Teachers Are Skilled (But Not Superheroes Yet)
When it came to Digital Competence (how good they are at using the tech), the teachers scored a Grand Mean of 3.73, which is considered "High." They are great at the basics: sending emails, using computers, and finding information online. But, just like a driver who is great at city driving but hasn't learned to race on a track, they hit a wall with the harder stuff. The study showed they were only "Moderate" at using AI tools for teaching, staying safe from cyber-attacks (cybersecurity), and interpreting complex data. They have the foundation, but they need to build the roof.

3. The Job Has Changed (From "Sage on the Stage" to "Guide on the Side")
The most interesting part is how the teachers' roles have shifted. The study found a Grand Mean of 3.86 for changing roles. Teachers aren't just standing at the front of the room lecturing anymore. They are becoming learning facilitators (guides), digital mentors (tech-savvy coaches), and instructional designers (people who build the digital lessons). They are even acting as ethical guides, teaching students how to use AI without academic misconduct. It's a big shift from being the "all-knowing boss" to being the "helpful coach".

4. Are They Adapting? Yes, But with a Catch
The teachers are adapting well to these new roles, with a Grand Mean of 3.86. They are willing to try new methods and are ready for student-centered learning. However, the study found a gap: they aren't fully ready for AI-driven teaching yet. It's like they are ready to drive the car, but they haven't quite learned how to use the autopilot feature safely.

The Rules of the Game: What Matters and What Doesn't

The study also looked at who is adapting best. They tested two big ideas (hypotheses) to see if they were true or false.

• The Skill Connection: The first idea was that being good at tech doesn't necessarily mean you use it. The study ruled this out. They found a strong positive correlation (r = 0.782). This means if a teacher is digitally competent, they are almost guaranteed to use the tools. It's a straight line: more skill equals more usage.
• The Age and Experience Myth: The second idea was that who you are (your age, your rank, how long you've taught, or whether you work at a public or private school) doesn't matter for adapting. The study proved this wrong. They found that 54.9% of the differences in how well teachers adapted could be explained by their demographics.
  • The Twist: Older teachers and those with more years of experience were actually less likely to adapt (negative scores of -0.168 and -0.179).
  • The Winners: Teachers at private institutions were the best at adapting (a strong positive score of 0.276), followed by those with higher academic ranks. It seems that where you work and your current job title matter a lot more than just how many years you've been around.

The Bottom Line

The paper suggests that Nigerian universities are in the middle of a massive digital transformation. The teachers are using the tools, they are changing their roles, and they are generally doing a good job. But, there is a "skills gap" in the advanced stuff like AI and data safety.

The study concludes that while the teachers are ready to drive the car, the university needs to build better roads (better internet and infrastructure) and give them more driving lessons (training in AI and data). If they don't, the teachers might get stuck in traffic, unable to use the full power of the digital age. The research doesn't say the problem is solved; it says the engine is running, but it needs more fuel and better maintenance to go the distance.