The Effectiveness of Blended Learning Artificial Intelligence on Increasing Literacy of Midwifery Students at Mashhad University of Medical Sciences: A Semi-experimental Study

Imagine the world of healthcare as a massive, bustling library where doctors, nurses, and midwives are the librarians. For centuries, they've relied on their own brains and thick textbooks to find the right information to help people. But recently, a super-smart robot librarian named "Artificial Intelligence" (or AI for short) has moved in. This robot can read millions of books in a second, spot patterns humans miss, and help make tricky decisions. However, there's a problem: the new student librarians (the midwifery students) haven't been taught how to talk to this robot. They know how to deliver babies and care for mothers, but they don't know how to use the robot's superpowers.

To understand this story, we need to know two things. First, "AI Literacy" is just a fancy way of saying "knowing how to use the robot." It doesn't mean you have to be a robot builder or a math genius; it just means understanding what the robot can do, how it thinks, and how to ask it for help. Second, "Blended Learning" is a teaching style that mixes the old-school way (sitting in a classroom with a teacher) with the new-school way (using online tools, videos, and interactive games). Think of it like learning to ride a bike: you listen to the instructor explain the gears, but you also get to hop on the bike and try it out yourself, maybe even using a video game to practice before hitting the real road. The big question is: Can this mix of classroom and digital fun actually teach future midwives how to work with the AI robot?

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The Experiment: Teaching Midwives to Talk to Robots

In this study, a team of researchers at Mashhad University of Medical Sciences decided to run a test to see if they could fix the "robot literacy" gap. They gathered a group of midwifery students and gave them a special course designed to bridge the gap between traditional midwifery and the future of AI.

The researchers didn't just lecture the students on boring code. Instead, they used a "blended learning" approach. This meant the students had a few sessions where they met in person, but they also did self-study, group work, and hands-on exercises. The course was like a crash course in the language of the future. They covered the basics: what AI actually is, how "Machine Learning" works (which is basically teaching a computer to learn from examples, like showing it thousands of pictures of babies so it learns what a baby looks like), and how to use these tools in real midwifery situations. They even played with concepts like "Supervised Learning" (where a teacher guides the computer) and "Unsupervised Learning" (where the computer finds its own patterns).

The Results: A Big Leap Forward

Before the course started, the researchers checked what the students knew. It was a bit shaky. The students scored an average of 12.5 (out of a possible higher number) on a test about AI knowledge. They were also a little unsure about whether they liked or trusted AI.

Then, the course happened. After the students finished their blended learning sessions, the researchers tested them again. The difference was like night and day. The average knowledge score jumped up to 18.9. The math behind the scenes showed this wasn't just luck; the improvement was so strong that the chance of it happening by accident was less than 1 in 1,000 (p < 0.001).

But it wasn't just about memorizing facts. The students' feelings changed, too. The researchers measured their attitudes in three ways: how they thought about AI (cognitive), how they felt about it (affective), and how they wanted to act on it (behavioral).

• Thinking: Their scores went from 14.2 to 19.5.
• Feeling: Their scores went from 13.8 to 18.7.
• Action: Their scores went from 11.9 to 17.3.

In every single category, the students became more confident, more enthusiastic, and more willing to use AI tools in their future jobs. They told the researchers they felt ready to integrate these technologies into their practice.

What the Students Thought

The students didn't just learn; they enjoyed it. When asked to rate the course, they gave it a glowing review, with an average satisfaction score of 4.5 out of 5. They specifically loved the interactive parts—the group discussions, the case studies, and the hands-on exercises. It wasn't a boring lecture; it felt like a workshop where they got to play with the tools of the future.

What This Means (and What It Doesn't)

The study suggests that this blended learning method is a powerful tool. It shows that you don't need to turn midwifery students into computer programmers to make them AI-literate; you just need the right mix of teaching styles. By combining face-to-face guidance with digital practice, the students went from being unsure about AI to being confident users.

However, the researchers are careful to note that this was a test with a specific group of students at one university. They don't know yet if this knowledge will stick around for years, or if it will work exactly the same way for students in other countries. They also suggest that future classes could go even deeper, maybe adding virtual reality or more complex topics. But for now, the evidence is clear: a well-designed, fun, and mixed-method course can successfully teach future midwives how to partner with the AI robot, preparing them for a healthcare world that is changing fast.